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Leaves play a crucial role in photosynthesis and respiration, ultimately affecting the final grain yield of crops, including wheat (Triticum aestivum L.); however, the molecular mechanisms underlying wheat leaf development remain largely unknown. Here, we isolated a narrow-leaf gene, TaWAK2-A, through a map-based cloning strategy. TaWAK2-A encodes a wall-associated kinase (WAK), for which a single Ala-to-Val amino acid substitution reduces the protein stability, leading to a narrow-leaf phenotype in wheat. Further investigation suggests that TaWAK2 directly interacts with and phosphorylates TaNAL1, a trypsin-like serine/cysteine protease. The phosphorylated TaNAL1 is then involved in the degradation of the zinc finger transcription factor TaDST, which acts as a repressor of leaf expansion by activating the expression of the cytokinin oxidase gene TaCKX9 and triggering in vivo cytokinin degradation. Therefore, our findings elucidate a signaling cascade involving TaWAK2-TaNAL1-TaDST that sheds light on the regulation of wheat leaf development. [ABSTRACT FROM AUTHOR]

Rice-wheat and maize-wheat rotations are major cropping systems in the middle and lower reaches of Yangtze River in China, where high nitrogen (N) inputs and low N efficiency often exacerbate resource waste and environmental pollution. Due to the changes in factors such as soil properties and moisture content, the N fate and the N utilization characteristics of wheat in different rotations are significantly different. Efficient N management strategies are thus urgently required for promoting maximum wheat yield in different rotation systems while reducing N loss. A 2-year field experiment using isotopic (15N) tracer technique was conducted to evaluate the fate of 15N-labeled urea in wheat fields and the distribution characteristics of N derived from different sources. The wheat yield and N use efficiency under various N rates (180 and 240 kg ha-1, abbreviated as N180 and N240) and preceding crops (rice and maize, abbreviated as R-wheat and M-wheat) were also investigated. The results showed that N240 increased N uptake and grain yield by only 8.77-14.97% and 2.51-4.49% compared with N 180, but decreased N agronomic efficiency (NAE) and N physiological efficiency (NPE) by 14.78-18.79% and 14.06-31.35%. N240 also decreased N recovery in plants by 2.8% on average compared with N180, and increased N residue in soil and N loss to the environment. Compared with that of basal N, the higher proportion of topdressing N was absorbed by wheat rather than lost to the environment. In addition, the accumulation of topdressing N in grain was much higher than that of basal N. Compared with that in R-wheat treatment, plants in M-wheat treatment trended to absorb more 15N and reduce unaccounted N loss, resulting in higher yield potential. Moreover, the M-wheat treatment increased N recovery in 0-20 cm soil but decreased 80-100 cm soil compared with R-wheat treatment, indicating a lower risk of N loss in deeper soil. Collectively, reducing N application rate and increasing the topdressing ratio is an effectiveway to balance sustainable crop yield for a secure food supply and environmental benefit, which ismore urgent in rice-wheat rotation. [ABSTRACT FROM AUTHOR]

In light of projected climate changes that are expected to disrupt crop yields in previously stable regions, it is essential to understand how these changes will affect food supplies. This study investigated the combined effect of light and temperature on the yield of wheat (Triticum aestivum L.) and rice (Oryza sativa L.) in a controlled environment. Three treatment combinations were tested: 30.2 mol.m−2.d−1 with a 17.5 °C average ("low"), 38.9 mol.m−2.d−1 and 22.5 °C ("medium"), and 47.5 mol.m−2.d−1 and 27.5 °C ("high"). The low treatment resulted in the highest wheat yield, with total dry biomasses of 233 g, 140 g, and 115 g for the low, medium, and high treatments. Rice showed the highest growth in the medium and high treatments, with total dry biomasses of 145 and 144 g. The medium and high treatment biomasses were not statistically significant for wheat or rice at 95% confidence. However, the wheat's edible biomass did significantly decrease between every treatment. These results demonstrate that wheat thrives in colder climates, even with less light available, while an increase in temperature will have either a positive or insignificant effect on rice within this study's temperature range. [ABSTRACT FROM AUTHOR]

Reliable and spatially explicit information on global crop yield has paramount implications for food security and agricultural sustainability. However, most previous yield estimates are either coarse-resolution in both space and time or are based on limited studied areas. Here, we developed a transferable approach to estimate 4 km global wheat yields and provide the related product from 1982 to 2020 (GlobalWheatYield4km). A spectra–phenology integration method was firstly proposed to identify spatial distributions of spring and winter wheat, followed by choosing the optimal yield prediction model at 4 km grid scale, with openly accessible data, including subnational-level census data covering ~11,000 political units. Finally, the optimal models were transferred at both spatial and temporal scales to obtain a consistent yield dataset product. The results showed that GlobalWheatYield4km captured 82% of yield variations with an RMSE of 619.8 kg/ha, indicating good temporal consistency (r and nRMSE ranging from 0.4 to 0.8 and 13.7% to 37.9%) with the observed yields across all subnational regions covering 40 years. In addition, our dataset generally had a higher accuracy (R2 = 0.71) as compared with the Spatial Production Allocation Model (SPAM) (R2 = 0.49). The method proposed for the global yield estimate would be applicable to other crops and other areas during other years, and our GlobalWheatYield4km dataset will play important roles in agro-ecosystem modeling and climate impact and adaptation assessment over larger spatial extents. [ABSTRACT FROM AUTHOR]

In order to rapidly adapt to the evolving climate and sustainably nourish the growing global population, plant breeders are actively investigating more efficient strategies to enhance crop yields. In this study, we present the development of a bread wheat mapping population and backcross breeding program, serving as a valuable genetic resource for mapping the effects of different alleles on trait performance. We employed innovative methodologies to rapidly introgress traits into the bread wheat cultivar. Specifically, we utilized two parents, including Tosunbey x Tahirova2000, in a recombinant inbred line population, in addition, a backcross strategy was applied with line 148 (obtained by crossing Tosunbey x Tahirova2000 with high gluten quality) as the recipient parent of the Nevzatbey cv., known for its awnless feature. The two most important applications of the rapid breeding method are extending the light period and breaking dormancy in early harvested seeds. Both applications were successfully implemented in our study. Our vegetation periods ranging from approximately 50–60 days. Additionally, an early genotype in our developed population was harvested in 40 days. Considering that the genotype underwent a 15-day vernalization period, the generation cycle, including vernalization, drying, and refrigeration, was completed in a total of 64 days. Notably, we employed not only biochemical markers for selection but also incorporated the rapid generation advance technology known as 'speed breeding', allowing us to develop BC5F1 within a span of two years. We posit that this approach proves instrumental in swiftly transferring genes for multiple target traits into adapted wheat cultivars or in pyramiding desirable traits within elite breeding material. [ABSTRACT FROM AUTHOR]

Enhancing grain yield is a primary goal in the cultivation of major staple crops, including wheat. Recent research has focused on identifying the physiological and molecular factors that influence grain weight, a critical determinant of crop yield. However, a bottleneck has arisen due to the trade-off between grain weight and grain number, whose underlying causes remain elusive. In a novel approach, a wheat expansin gene, TaExpA6, known for its expression in root tissues, was engineered to express in the grains of the spring wheat cultivar Fielder. This modification led to increases in both grain weight and yield without adversely affecting grain number. Conversely, a triple mutant line targeting the gene TaGW2, a known negative regulator of grain weight, resulted in increased grain weight but decreased grain number, potentially offsetting yield gains. This study aimed to evaluate the two aforementioned modified wheat genotypes (TaExpA6 and TaGW2) alongside their respective wild-type counterparts. Conducted in southern Chile, the study employed a Complete Randomized Block Design with four replications, under well-managed field conditions. The primary metrics assessed were grain yield, grain number, and average grain weight per spike, along with detailed measurements of grain weight and dimensions across the spike, ovary weight at pollination (Waddington’s scale 10), and post-anthesis expression levels of TaExpA6 and TaGW2. Results indicated that both the TaExpA6 and the triple mutant lines achieved significantly higher average grain weights compared to their respective wild types. Notably, the TaExpA6 line did not exhibit a reduction in grain number, thereby enhancing grain yield per spike. By contrast, the triple mutant line showed a reduced grain number per spike, with no significant change in overall yield. TaExpA6 expression peaked at 10 days after anthesis (DAA), and its effect on grain weight over the WT became apparent after 15 DAA. In contrast, TaGW2 gene disruption in the triple mutant line increased ovary size at anthesis, leading to improved grain weight above the WT from the onset of grain filling. These findings suggest that the trade-off between grain weight and number could be attributed to the overlapping of the critical periods for the determination of these traits. [ABSTRACT FROM AUTHOR]

Hybrid development is one of the most promising strategies for boosting crop yields. Parental lines used to create hybrids must have good per se performance and disease resistance for developing superior hybrids. Indian wheat line HD3209 was developed by introducing the rust resistance genes Lr19/Sr25 into the background of popular wheat variety HD2932. The wheat line HD3209 carrying Lr19/Sr25 has been successfully and rapidly converted to the CMS line A-HD3209, with 96.01% background genome recovery, based on selection for agro-morphological traits, rust resistance, pollen sterility, and foreground and background analyses utilizing SSR markers. The converted CMS line A-HD3209 was completely sterile and nearly identical to the recurrent parent HD3209. Based on high per se performance and rust resistance, the study concludes that the derived CMS line A-HD3209 is promising and can be employed successfully in hybrid development. [ABSTRACT FROM AUTHOR]

The source-sink (S-S) ratio during the grain-filling period is crucial for wheat crop yield. The aim of this study was to investigate the relative sensitivity of grain yield in response to treatments of S-S ratio changes to determine the extent of SS limitation during grain filling in modern wheat genotypes. The S-S manipulation treatments included four levels: check (CH), removal of flag leaf (RFL), removal of all leaves (RAL), and removal of the upper half of the spikes (RHS). The results showed significant differences between genotypes (pb< 0.001%) in all traits. Drought stress decreased grain weight per spike (GWS) (g) and grain yield (GY) (kg/ha) by 18% and 25%, respectively. The average reduction in GWS under irrigation and rainfed conditions was 8.25% and 6.71% for RFL and 12.25% and 11.15% for RAL, respectively. By RFL and RAL, increasing the remobilization from the stem and spike straw helped to reduce the effects of source limitation. Also, by RHS, the reduction in photosynthetic materials production in both conditions was only equivalent to 38% and 29% of the expected values, respectively, which shows the presence of strong sinks in vegetative organs (stem and spike) compared to grains. Vegetative organs seem to have a larger sink for the uptake of photosynthetic materials than grains when the source-sink ratio increases. However, high-yield genotypes showed more severe source limitation, while low-yield genotypes showed more relative sink limitation. Overall, to increase the yield potential in high-yielding genotypes, photosynthetic sources and sinks in low-yielding genotypes should be improved. [ABSTRACT FROM AUTHOR]

Aims: Root system architecture (RSA) plays an important role in the plant’s ability to sustain yield under abiotic stresses such as drought. Preceding crops (precrops) can affect the yield of the proceeding crop, partially by affecting the RSA. This experiment aims to explore the interactions between precrop identity, crop genotype and drought at early growth stages. Methods: Rhizotrons, sized 60 × 80 × 3.5 cm, were used to assess the early root growth of two winter wheat (Triticum aestivum L.) genotypes, using precroptreated soil around the seedlings and differing water regimes. The rhizotrons were automatically imaged 3 times a week to track root development. Results: Precrop-treated soil affected the RSA and changes caused by the reduced water treatment (RWT) were different depending on the precrop. Largest of these was the 36% reduction in root depth after wheat, but 44% after OSR. This indicates that effects caused by the precrop can be simulated, at least partially, by transferring precrop-treated soils to controlled environments. The genotypes had differential RSA and reacted differently to the RWT, with Julius maintaining an 8.8-13.1% deeper root system compared to Brons in the RWT. In addition, the combined environmental treatment affected the genotypes differently. Conclusion: Our results could help explain discrepancies found from using precrops to enhance yield as they indicate differences in the preceding crop effect when experiencing drought stress. Further, these differences are affected by genotypic interactions, which can be used to select and adapt crop genotypes for specific crop rotations, depending on the year. Additionally, we have shown a viable method of stimulating a partial precrop effect at the seedling stage in a controlled greenhouse setting using field soil around the germinated seed. [ABSTRACT FROM AUTHOR]

Key message: This study precisely mapped and validated a quantitative trait locus (QTL) located on chromosome 4B for flag leaf angle in wheat. Flag leaf angle (FLANG) is closely related to crop architecture and yield. We previously identified the quantitative trait locus (QTL) QFLANG-4B for FLANG on chromosome 4B, located within a 14-cM interval flanked by the markers Xbarc20 and Xzyh357, using a mapping population of recombinant inbred lines (RILs) derived from a cross between Nongda3331 (ND3331) and Zang1817. In this study, we fine-mapped QFLANG-4B and validated its associated genetic effect. We developed a BC3F3 population using ND3331 as the recurrent parent through marker-assisted selection, as well as near-isogenic lines (NILs) by selfing BC3F3 plants carrying different heterozygous segments for the QFLANG-4B region. We obtained eight recombinant types for QFLANG-4B, narrowing its location down to a 5.3-Mb region. This region contained 76 predicted genes, 7 of which we considered to be likely candidate genes for QFLANG-4B. Marker and phenotypic analyses of individual plants from the secondary mapping populations and their progeny revealed that the FLANG of the ND3331 allele is significantly higher than that of the Zang1817 allele in multiple environments. These results not only provide a basis for the map-based cloning of QFLANG-4B, but also indicate that QFLANG-4B has great potential for marker-assisted selection in wheat breeding programs designed to improve plant architecture and yield. [ABSTRACT FROM AUTHOR]

Context: Water is widely assumed to be the factor most limiting the growth of annual crops in rainfed environments, but this is rarely tested at sub-continental scale. Aims: Our study aimed to determine the key environmental and management variables influencing the yield of wheat and barley in the grain-production regions of southern Australia, using data from National Variety Trials. Methods: We used generalised additive models to determine the importance of climatic and management variables on wheat and barley grain yield. We determined the effects of the best one, two or three variables and their interactions. Key results: The aridity index, defined as the ratio of cumulative rainfall to potential evapotranspiration, was the single strongest determinant of grain yield for both crops. Model performance was further improved by separating the aridity index into pre-seasonal and seasonal components. Interestingly, other variables that might be expected to influence yield, such as nitrogen fertilisation and extreme temperatures, had relatively minor effects. A comparison between data collected over two 6-year periods showed that there had been yield gains and increased water-use efficiency with time, especially in wetter environments. Conclusions: Our findings illustrate the importance of water availability for grain production in this region and suggest opportunities for benchmarking and yield prediction through use of readily available climate data. Implications: Our study reinforces the importance of factors such as water-use efficiency and drought tolerance as goals for cultivar development and agronomic research in wheat and barley. It also highlights the potential of National Variety Trial data as a resource for understanding grain production systems and climate resilience. Further work could explore the value of additional variables and improved weather data. Farmers value simple rules of thumb for predicting crop yields. Using 12 years of National Variety Trial data, we discovered that variation in yield of wheat and barley across southern Australia is most strongly correlated with variation in aridity index, the ratio of seasonal rainfall to seasonal potential evapotranspiration. Our finding reinforces the importance of water as the primary driver dictating grain yield in southern Australia. [ABSTRACT FROM AUTHOR]

Climate change is leading to an increase in the intensity, duration, and frequency of severe droughts, especially in southern and southeastern Europe, thus aggravating water scarcity problems. Water deficit stress harms the growth, physiology, and yield of crops like durum wheat. Hence, studying ancient wheat varieties' stress responses could help identify genetic traits to enhance crop tolerance to environmental stresses. In this background, this study aimed to investigate the effects of PEG 6000-stimulated drought stress in the ancient wheat variety Saragolla and the modern one Svevo by analyzing various biochemical and molecular parameters that can especially condition the stomatal movement. Our data revealed that drought stress caused a significant increase in the levels of total soluble sugars, ABA, and IAA in both selected cultivars to a greater extent in the Saragolla than in the Svevo. We demonstrated that, under water deficit stress, calcium dynamics as well as the expression of ERF109, MAPK3/6, MYB60, and TaTPC1, involved in the activation of drought-related calcium-sensitive pathways, display significant differences between the two varieties. Therefore, our study provided further evidence regarding the ability of the ancient wheat variety Saragolla to better cope with drought stress compared to the modern variety Svevo. [ABSTRACT FROM AUTHOR]

Changes in the hydrologic regime impose great challenges for grain production. We investigated the impact of dry and wet extremes on the recent losses of crops in Severo-Kazakhstanskaya Oblast (SKO), where 25% of Kazakhstan's wheat is produced. We reconstructed the Palmer Drought Severity Index (June–August PDSI) and average grain yields (with an explained variance of 48% and 44%, respectively) using five tree ring width chronologies. The extended history of the moisture variability and yields of spring wheat, oats, and barley shows the strong impact of hydrology, rather than the heat, on the grain production. We defined three distinctive hydrologic regimes in SKO: (1) 1886–1942, (2) 1943–1977, (3) 1978–2023. The early regime had fewer drought events, including some that covered a single year. Their duration increased up to 3 years in the second period. The latest regime is an extreme mode of hydrologic variability with events abruptly switching from extremely dry to extremely wet conditions (called "whiplash"). The 21st century regime signifies that the intensified and prolonged decade-long drought transitioned into pluvial condition. The new regime created sizable instability for grain producers. This crop yield reconstruction denotes the potential of the tree-ring proxy for understanding the impact of climate change on the agriculture and food security of Central Asia. [ABSTRACT FROM AUTHOR]

Food security is a crucial requirement in today's world to meet the dietary needs of individuals. As the population continues to grow, the demand for food will increase by 70 to 100 percent by 2050. Therefore, there is an urgent need to develop an approach that can assist farmers in predicting crop yield accurately and in a timely manner before crop harvesting. In this direction, the present study proposed a nature-inspired optimized hybrid convolutional neural network with bidirectional long short-term memory to extract the nonlinear complex relationships among crop attributes. This hybrid deep learning model was optimized using a particle swarm optimization approach to automate the selection of appropriate hyperparameters for wheat yield prediction. The proposed model was developed to estimate wheat yield in a major wheat-producing state in India from 2000 to 2018 using the temporal and spatial characteristics of wheat crops. The experiment was conducted by integrating the historical yield, meteorological data, remote sensing-derived indices, and soil parameters from the October to April season. Furthermore, we also evaluated the performance of the proposed model in terms of the mean absolute error (MAE), root mean square error (RMSE), and mean squared error (MSE) with publicly available datasets such as Agro_data, Soybean_data, and FAO_data. The experimental results showed that the proposed PSO-CNN-Bi-LSTM method achieved an MAE of 0.39, MSE of 0.18, and RMSE of 0.42 (tonnes/ha) and outperformed existing CNN, LSTM, CNN-LSTM, CNN-Bi-LSTM, CNN-LSTM-PSO, CNN-Bi-LSTM-BO-GO, and neural network methods. Our findings demonstrated that the proposed methodology could be a promising alternative for predicting crop yield. [ABSTRACT FROM AUTHOR]

Due to being sessile, plants develop a broad range of defense pathways when they face abiotic or biotic stress factors. Although plants are subjected to more than one type of stress at a time in nature, the combined effects of either multiple stresses of one kind (abiotic or biotic) or more kinds (abiotic and biotic) have now been realized in agricultural lands due to increases in global warming and environmental pollution, along with population increases. Soil-borne pathogens, or pathogens infecting aerial parts, can have devastating effects on plants when combined with other stressors. Obtaining yields or crops from sensitive or moderately resistant plants could be impossible, and it could be very difficult from resistant plants. The mechanisms of combined stress in many plants have previously been studied and elucidated. Recent studies proposed new defense pathways and mechanisms through signaling cascades. In light of these mechanisms, it is now time to develop appropriate strategies for crop protection under multiple stress conditions. This may involve using disease-resistant or stress-tolerant plant varieties, implementing proper irrigation and drainage practices, and improving soil quality. However, generation of both stress-tolerant and disease-resistant crop plants is of crucial importance. The establishment of a database and understanding of the defense mechanisms under combined stress conditions would be meaningful for the development of resistant and tolerant plants. It is clear that leaf pathogens show great tolerance to salinity stress and result in pathogenicity in crop plants. We noticed that regulation of the stomata through biochemical applications and some effort with the upregulation of the minor gene expressions indirectly involved with the defense mechanisms could be a great way to increase the defense metabolites without interfering with quality parameters. In this review, we selected wheat as a model plant and Zymoseptoria tritici as a model leaf pathogen to evaluate the defense mechanisms under saline conditions through physiological, biochemical, and molecular pathways and suggested various ways to generate tolerant and resistant cereal plants. [ABSTRACT FROM AUTHOR]

The article deals with the impact of abiotic factors on the dynamics of wheat phytonematode in the Mughan part of Azerbaijan. To study the population dynamics of phytonematodes of wheat and its rootstock soil under Azerbaijan conditions, soil and plant samples were collected by stationary method monthly from March to June during 2018-2023. In the wheat field, 45 species of nematodes were recorded during the vegetation period. In both roots and rootstock of wheat, the highest number of phytonematode individuals was observed at the beginning of the study (March), then their density began to decrease sharply and reached a minimum at the end of the growing season (June). In aboveground parts, the highest peak of phytonematode abundance occurs in mid-spring (April), followed by a decline in abundance at the following dates. The lowest abundance is recorded in summer before harvesting. The recorded phytonematodes were distributed in the following ecological groups: polytrophs - 8 species, typical saprobionts - 2, devisaprobionts - 15, potential parasites - 12, true parasites - 8 species. Ecological groups of phytonematodes respond differently to changes in the conditions of existence. At the same time, the effect of ecological factors depended on the habitat of phytonematodes. It is known that in the Mughan region of Azerbaijan, the influence of abiotic factors on the dynamics of wheat phytonematodes mainly includes elements such as soil structure, climatic conditions, sunlight and water supply. These abiotic factors determine the level and distribution of nematode populations and affect the yield of crops. As a result of the changing influence of various abiotic factors, the population levels of nematodes also change, which affects the effectiveness in the crop field. In this regard, the understanding and management of these factors is important for improving the quality and production of wheat products. Preventive and preventive measures, depending on the completeness and timeliness of this information, allow you to create optimal conditions and get a stable harvest from plants. The above-mentioned issues have been extensively investigated and reflected in the article. [ABSTRACT FROM AUTHOR]

Producers utilizing fall manure injection have reported increased growth and greenness in small grains growing on the injection band compared to small grains growing between injection bands. To determine how producers utilizing fall manure injection in small grains should manage potential differential growth, 24 sites under fall manure injection were established. Soil samples were taken in‐band and between‐band 1 month after manure application and at silage harvest for soil NO3‐N. Small grain growth stage was assessed 1 month after planting and at silage harvest, while dry matter (DM) yield and forage nutritive value parameters were assessed at silage harvest. Soil NO3‐N was elevated in‐band compared to between‐band 1 month after manure application (p < 0.05); however, this did not persist until silage harvest. No differences in growth stage were observed 1 month after planting in 2021; however, growth stage means were consistently elevated in‐band in 2022, likely due to earlier planting dates in 2022 compared to 2021. Growth stage at harvest was the same in‐band and between‐band at each site. Small grain DM yield was only increased in‐band compared to between‐band in three of 24 sites. Two of the three sites planted with wheat (Triticum aestivum L.) showed significantly increased DM yield in‐band, suggesting DM yield response could be species dependent. No consistent differences in forage nutritive value parameters were observed. As no consistent differences in small grain DM yield and forage nutritive value were found at harvest, we recommend no changes to management practices for producers utilizing fall manure injection in small grains. Core Ideas: Manure injection consistently elevated soil nitrate in the manure injection band across sites.Some increased small grain tillering observed in the manure injection band 1 month after planting.Soil nitrate concentrations were the same in‐band and between‐band at silage harvest.No differences in small grain maturity, silage yield, and forage quality occurred in‐band versus between‐band.Producers using fall manure injection in small grains do not need to adjust management practices due to banding. [ABSTRACT FROM AUTHOR]

Fusarium head blight (FHB) is a major threat to wheat crop production and food security worldwide. The creation of resistant wheat cultivars is an essential component of an integrated strategy against Fusarium graminearum, the primary aetiological agent that causes FHB. The results of this study show that the deployment of proto-cooperative interactions between wheat genotypes and mycoparasitic biocontrol agents (BCAs) can improve crop yield and plant resistance in controlling the devastating effects of FHB on wheat agronomic traits. A Fusarium-specific mycoparasite, Sphaerodes mycoparasitica, was found to be compatible with common and durum wheat hosts, thus allowing the efficient control of F. graminearum infection in plants. Four genotypes of wheat, two common wheat, and two durum wheat cultivars with varying FHB resistance levels were used in this greenhouse study. The BCA treatments decreased FHB symptoms in all four cultivars and improved the agronomic traits such as spike number, spike weight, seed weight, plant biomass, and plant height which are vital to grain yield. Conversely, the F. graminearum 3ADON chemotype treatment decreased the agronomic trait values by up to 44% across cultivars. Spike number, spike weight, and seed weight were the most improved traits by the BCA. A more measurable improvement in agronomic traits was observed in durum wheat cultivars compared to common wheat. [ABSTRACT FROM AUTHOR]

Background: The rice-wheat cropping system is the prevailing agricultural method in the North-Western states of India, namely in the Indo-Gangetic plains. The practice of open burning of rice residue is frequently employed for expedient land preparation, but it has significant adverse impacts on both the environment and human health. These include the emission of greenhouse gases, loss of nutrients, elevated concentrations of particulate matter (PM), and disruption of the biological cycle. This research aims to investigate the implementation of effective management strategies in the rice-wheat cropping system, namely via the use of tillage-based crop cultivation techniques, stubble retention, and integration approaches. The objective is to enhance soil health features in order to augment crop yield and improve its attributes. Results: The research was carried out using a split plot experimental design, consisting of three replications. The main plot consisted of four different cultivation methods, while the subplot included three genotypes of both rice and wheat. The research demonstrates the enhanced efficacy of residue application is significantly augmenting soil nutrient concentrations compared to standard tillage practices (P < 0.05). This was accomplished by an analysis of soil nutrient levels, namely nitrogen (N), phosphorus (P), potassium (K), and organic carbon (OC), at a depth of 0–15 cm. The implementation of natural farming, zero tillage, and reduced tillage practices resulted in decreases in rice grain yields of 34.0%, 16.1%, and 10.8%, respectively, as compared to conventional tillage methods. Similarly, the implementation of natural farming, zero tillage, and reduced tillage resulted in reductions in wheat grain yields of 59.4%, 10.9%, and 4.6% respectively, in comparison to conventional tillage practices. Conclusion: Regarding the individual crop genotypes investigated, it was continuously observed that Him Palam Lal Dhan 1 and HPW 368 displayed considerably greater grain yields for both rice and wheat during the two-year experimental period. Furthermore, when considering different cultivation methods, conventional tillage emerged as the most effective approach for obtaining higher productivity in both rice and wheat. Additionally, Him Palam Lal Dhan 1 and HPW 368 exhibited superior performance in terms of various crucial yield components for rice (such as panicle density, grains per panicle, panicle weight, and test weight) and wheat (including effective tiller density, grains per spike, spike weight, and 1000-grain weight). [ABSTRACT FROM AUTHOR]

Trait-based approaches are increasingly used to understand crop yield improvement, although they have not been widely applied to anatomical traits. Little is known about the relationships between root and leaf anatomy and yield in wheat. We selected 20 genotypes that have been widely planted in Luoyang, in the major wheat-producing area of China, to explore these relationships. A field study was performed to measure the yields and yield components of the genotypes. Root and leaf samples were collected at anthesis to measure the anatomical traits relevant to carbon allocation and water transport. Yield was negatively correlated with cross-sectional root cortex area, indicating that reduced root cortical tissue and therefore reduced carbon investment have contributed to yield improvement in this region. Yield was positively correlated with root xylem area, suggesting that a higher water transport capacity has also contributed to increased yields in this study. The area of the leaf veins did not significantly correlate with yield, showing that the high-yield genotypes did not have larger veins, but they may have had a conservative water use strategy, with tight regulation of water loss from the leaves. This study demonstrates that breeding for higher yields in this region has changed wheat's anatomical traits, reducing the roots' cortical tissue and increasing the roots' xylem investment. [ABSTRACT FROM AUTHOR]

One of the crucial research areas in agricultural decision-making processes is crop yield prediction. This study leverages the advantages of hybrid models to address the complex interplay of genetic, environmental, and management factors to achieve more accurate crop yield forecasts. Therefore, this study used the data of wheat growth environment, crop management, and historical yield in experimental fields in Anding District, Dingxi City, Gansu Province from 1984 to 2021 to construct eight machine learning models and ensemble models. Furthermore, Agricultural Production Systems sIMulator (APSIM), machine learning (ML), and APSIM combined with machine learning (APSIM-ML) were employed to predict wheat yields in 2012, 2016, and 2021. The results show that the APSIM-ML weighted ensemble prediction model, optimized to minimize the MSE, performed the best. Compared to the optimized ML and APSIM models, the average improvements in the RMSE, RRMSE, and MBE for the test years were 43.54 kg/ha, 3.55%, and 15.54 kg/ha, and 93.96 kg/ha, 7.55%, and 104.21 kg/ha, respectively. At the same time, we found that the dynamic flow of water and nitrogen between the soil and crops had the greatest impact on wheat yield prediction. This study improved the accuracy of dryland wheat yield prediction in Gansu Province and provides technical support for the intelligent production of dryland wheat in the loess hilly area. [ABSTRACT FROM AUTHOR]

It is desirable to recycle sewage sludge as fertilizer for agricultural fields. The application of sludge to agricultural soils is a measure that replaces chemical fertilizers and plays an important role in improving soil's physicochemical and biological properties. However, there are concerns that the pollutants in sewage sludge will cause negative impacts on soil health. To closely monitor the soil–sludge interactions, a field study was conducted over a 20-year period in the North China Plain. In this study, the long-term effects of sewage sludge on the soil properties and soil microbial diversity were investigated. We examined the effects of various fertilization methods (control, chemical fertilizer, uncomposted sludge fertilizer, composted sludge fertilizer) on wheat production and several soil health indicators, such as the soil's enzymatic activities, microbial biomass, microbial diversity, and crop yield. This long-term experiment supports that the composted sludge fertilizer increased crop production by 124.2% compared to the control treatment. The soil's biological quality (e.g., the concentration of soil microbial biomass carbon) was also improved under the composted sludge fertilizer treatment. The concentrations of soil microbial biomass carbon under the uncomposted sludge fertilizer and composted sludge fertilizer treatments were 560.07 mg/kg and 551.07 mg/kg, respectively. The effect of the composted sludge fertilizer was greater than that of the uncomposted sludge fertilizer. The content of heavy metals did not exceed the national standard. The highest soil health index was 0.79 with the composted sludge fertilizer. Therefore, these results suggest that the application of composted sludge fertilizer has the potential to enhance long-term soil health and promote sustainable agricultural practices. [ABSTRACT FROM AUTHOR]

Background and Objectives Wheat is a critical crop in Iran and pivotal in food security, economic stability, and political landscapes. Wheat fields are the habitat of many insects, including both beneficial and pest species. Therefore, various insecticides are employed in wheat fields to safeguard crop yields. However, pursuing pest control often entails unintended consequences for non-target organisms, particularly pollinators and natural enemies. This study aimed to evaluate the effect of both chemical and herbal insecticides on non-target insect populations within Iranian wheat fields. Although plant-derived insecticides may offer ecological benefits, the study emphasizes the need to evaluate their efficacy against pests and their impact on beneficial insects. Therefore, it is necessary to consider the possible effects of herbal and chemical insecticides on natural enemies. Materials and Methods This study evaluated the adverse effects of some recommended insecticides for wheat pests on some natural enemies. A completely randomized block design with five treatments and four replicates was employed. The experiment was conducted in Ardabil, Tehran, and Golestan, Iran. The size of each plot was 100m² (10 x 10), with a distance of 2m between blocks and plots. A total of 30 wheat stalks were randomly selected for sampling in each plot, and all larvae on these stalks were counted within the wheat field. Sampling was performed on four occasions: one day before and 3, 7, and 14 days after spraying. The treatments included matrine (at concentrations of 1.5 and 2ml/L), deltamethrin (0.3ml/L), fenitrothion (1ml/L), and a control treatment (water). The potential effects of the insecticides were examined on the larvae of natural enemies, including the seven-spotted ladybird, flower fly, and green lacewing. Tehran and Ardabil provinces had low flower fly and green lacewing populations across all treatments, including control. However, the ladybird population was sufficient for evaluation. Therefore, the effects of the insecticides on ladybirds were investigated in these provinces. Results The reduction in the population of seven-spotted ladybirds in Ardabil caused by the insecticides was insignificant on days 3 and 7 and significant on day 14. Deltamethrin caused the most negative effect on days 3 and 7, while matrine 2ml/L had the most negative effect on day 14. Deltamethrin consistently caused the largest ladybird population decline in Tehran, with a significant difference from other treatments on all days except day 3. Fenitrothion exhibited the least adverse effect throughout the experiment. Golestan had the healthiest natural enemy populations. In this province, a suitable population of seven-spotted ladybirds, flower flies, and green lacewings was observed. The study confirmed insecticide-induced declines in these populations, with deltamethrin causing the most significant reductions for ladybirds and flower flies, while fenitrothion had the least impact. All insecticides severely reduced green lacewing populations. Based on the results of the 7th day, the reduction of the population of seven-spotted ladybirds in different provinces caused by matrine 1.5 and 2ml/L, fenitrothion, and deltamethrin was 31.04% - 57.91%, 54.19% - 77.58%, 25.01% - 70.16% and 72.02% - 89.35%, respectively. In addition, population reduction caused by matrine 1.5 and 2 ml/L, fenitrothion, and deltamethrin was 31.61%, 67.01%, 24.58%, and 79.06% for flower fly, and 73.24%, 82.79%, 73.24% and 95.94% for green lacewing, respectively. In all cases, the reduction caused by matrine 2ml/L was higher than matrine 1.5ml/L. On day 7, most insecticides were slightly harmful to seven-spotted ladybirds in all provinces except Tehran and Golestan, where fenitrothion was harmless and deltamartin moderately harmful. On this day, matrine, fenitrothion, and deltamethrin were slightly harmful, harmless, and moderately harmful to flower flies, respectively. Moreover, matrine 1.5ml/L and fenitrothion were slightly harmful to green lacewing, while matrine 2ml/L and deltamethrin were moderately harmful. Discussion Deltamethrin consistently exhibited the most pronounced adverse effects across all treatments and natural enemy populations, while fenitrothion had the least severe impact. Green lacewing populations displayed the highest insecticide sensitivity among the studied natural enemies. Based on the results, the effect of insecticides on non-target beneficial organisms was essential when developing integrated pest management (IPM) strategies. Avoiding the application of insecticides, particularly deltamethrin, during peak natural enemy populations was crucial to minimize unintended ecological consequences and promote a balanced ecosystem within wheat fields. [ABSTRACT FROM AUTHOR]

The intermittent ozone (O3) exposure of crops to alternating high and low concentrations is common in fields, but its impact on crop production has not been thoroughly investigated. In this study, two widely planted and O3-sensitive crops, winter wheat and soybean, were intermittently exposed to elevated O3 concentrations in open-top chambers. The results showed that the winter wheat and soybean yields significantly decreased with O3 exposure (AOT40, cumulative hourly O3 concentration above 40 ppb) (p < 0.001). The relative yield losses were 0.99% per AOT40 for winter wheat and 1.2% per AOT40 for soybean, respectively. The responses of the crop biomasses to elevated O3 concentrations were lower than that of crop yield. Although the O3-induced crop yield and biomass losses under continuous O3 exposure were greater than those under intermittent O3 exposure, the differences were not statistically significant. Therefore, we can conclude that the effects of elevated O3 concentrations on crops are closely related to the exposure dose but not significantly related to the temporal distribution of elevated O3 concentrations. This study improves our understanding of how crop production responds to intermittent O3 exposure. [ABSTRACT FROM AUTHOR]

BACKGROUND: Irrigation is used extensively to enhance grain production and ensure food security. Many studies have used crop models and global climate models to study the variation of irrigated crop yield in the context of climate change. But most considered the influence of direct climate change but neglected the influence of irrigation water availability, which is affected by land‐use/cover change (LUCC) and indirect climate change, on irrigated crop yield. This study therefore developed a framework including Patch‐generating Land Use Simulation model, Soil and Water Assessment Tool, Agricultural Production Systems sImulator Model, and global climate models for exploring the impacts of LUCC, direct climate change, and indirect climate change on wheat yield in a typical watershed. RESULTS: Both LUCC and climate change caused increased runoff from October to May, and thus increased the irrigation water availability, by 51.6 and 30.7 mm per growing season under 1.5 and 2.0 °C warming, respectively. The combined influence of LUCC, direct, and indirect climate change increased wheat yield by about 18.5% and 15.5% in the context of 1.5 and 2.0 °C warming, respectively. The relative contribution of LUCC, indirect climate change and direct climate change to yield was 4.7%, 41.2%, and 54.1% under 1.5 °C warming, and 13.1%, 28.7%, and 58.2% under 2.0 °C warming, respectively. CONCLUSION: We suggest that changes in irrigation water availability should be considered from a watershed perspective when simulating the influence of climate change on crop yield, especially regional crop production estimation. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

A two-year field experiment was conducted to measure the effects of densification methods on photosynthesis and yield of densely planted wheat. Inter-plant and inter-row distances were used to define ratefixed pattern (RR) and row-fixed pattern (RS) density treatments. Meanwhile, four nitrogen (N) rates (0, 144, 192, and 240 kg N ha-1, termed N0, N144, N192, and N240) were applied with three densities (225, 292.5, and 360 x 104 plants ha-1, termed D225, D292.5, and D360). The wheat canopy was clipped into three equal vertical layers (top, middle, and bottom layers), and their chlorophyll density (ChD) and photosynthetically active radiation interception (FIPAR) were measured. Results showed that the response of ChD and FIPAR to N rate, density, and pattern varied with different layers. N rate, density, and pattern had significant interaction effects on ChD. The maximum values of whole-canopy ChD in the two seasons appeared in N240 combined with D292.5 and D360 under RR, respectively. Across two growing seasons, FIPAR values of RR were higher than those of RS by 29.37% for the top layer and 5.68% for the middle layer, while lower than those of RS by 20.62% for the bottom layer on average. With a low N supply (N0), grain yield was not significantly affected by density for both patterns. At N240, increasing density significantly increased yield under RR, but D360 of RS significantly decreased yield by 3.72% and 9.00% versus D225 in two seasons, respectively. With an appropriate and sufficient N application, RR increased the yield of densely planted wheat more than RS. Additionally, the maximum yield in two seasons appeared in the combination of D360 with N144 or N192 rather than of D225 with N240 under both patterns, suggesting that dense planting combined with an appropriate N-reduction application is feasible to increase photosynthesis capacity and yield. [ABSTRACT FROM AUTHOR]

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Drought stress is one of the key factors restricting crop yield. The beneficial effects of exogenous proline on crop growth under drought stress have been demonstrated in maize, rice, and other crops. However, little is known about its effects on wheat under drought stress. Especially, the water-holding capacity of leaves were overlooked in most studies. Therefore, a barrel experiment was conducted with wheat at two drought levels (severe drought: 45% field capacity, mild drought: 60% field capacity), and three proline-spraying levels (0 mM, 25 mM, and 50 mM). Meanwhile, a control with no stress and no proline application was set. The anatomical features, water-holding capacity, antioxidant capacity, and proline content of flag leaves as well as grain yields were measured. The results showed that drought stress increased the activity of catalase and peroxidase and the content of proline in flag leaves, lessened the content of chlorophyll, deformed leaf veins, and decreased the grain yield. Exogenous proline could regulate the osmotic-regulation substance content, chlorophyll content, antioxidant enzyme activity, water-holding capacity, and tissue structure of wheat flag leaves under drought stress, ultimately alleviating the impact of drought stress on wheat yield. The application of proline (25 mM and 50 mM) increased the yield by 2.88% and 10.81% under mild drought and 33.90% and 52.88% under severe drought compared to wheat without proline spray, respectively. [ABSTRACT FROM AUTHOR]

The adverse effects of thermal power plants on crop yield have not received adequate attention. Thus, this study aims to evaluate these effects systematically to fill the gap by utilizing county-level wheat yield data from North China spanning from 2005 to 2016. Our findings indicate that the presence of an additional upwind thermal power plant is associated with a 1.4% decline in wheat yield. Notably, these yield losses are more pronounced in regions characterized by lenient environmental regulations or a high density of large-scale thermal power plants. Reduced wheat yield due to thermal power plants results in a decline in social welfare. Furthermore, we confirm that air pollution emitted from thermal power plants is the primary driver behind the decline in wheat yield. [ABSTRACT FROM AUTHOR]

The Food and Agriculture Organization (FAO) reports that fruits and vegetables have the highest wastage rates, possibly reaching 60% and they are valuable sources of phytochemicals. Among these phytochemicals are allelochemicals, a subset derived from plants' secondary metabolism. Allelochemicals offer advantages over herbicides, including lower toxicity, shorter persistence, and increased water solubility. A substantial reduction in crop yield has occurred due to weed infestations. To address this issue, it is imperative to employ modern control methods, including biological approaches. Recent research has proposed the utilization of allelochemicals to manage weeds, with the peels of papaya and pumpkin being identified as abundant sources of phytochemicals. Consequently, we conducted an evaluation of the allelopathic effects of papaya and pumpkin peels on the growth of Wheat and Ragi seeds using a sandwich method. Three different concentrations (0.05, 0.10, and 0.15 gm) of powdered peels were administered as treatments. The test species demonstrated both allelopathic potential and stimulatory effects. The results obtained suggest that papaya and pumpkin peels can serve as effective organic herbicide, albeit at specific concentrations. This application has the potential to reduce the reliance on conventional herbicides, which persist in the soil for extended periods compared to natural compounds. [ABSTRACT FROM AUTHOR]

Global gridded crop models (GGCMs) have been broadly applied to assess the impacts of climate and environmental change and adaptation on agricultural production. China is a major grain producing country, but thus far only a few studies have assessed the performance of GGCMs in China, and these studies mainly focused on the average and interannual variability of national and regional yields. Here, a systematic national- and provincial-scale evaluation of the simulations by 13 GGCMs [12 from the GGCM Intercomparison (GGCMI) project, phase 1, and CLM5-crop] of the yields of four crops (wheat, maize, rice, and soybean) in China during 1980–2009 was carried out through comparison with crop yield statistics collected from the National Bureau of Statistics of China. Results showed that GGCMI models generally underestimate the national yield of rice but overestimate it for the other three crops, while CLM5-crop can reproduce the national yields of wheat, maize, and rice well. Most GGCMs struggle to simulate the spatial patterns of crop yields. In terms of temporal variability, GGCMI models generally fail to capture the observed significant increases, but some can skillfully simulate the interannual variability. Conversely, CLM5-crop can represent the increases in wheat, maize, and rice, but works less well in simulating the interannual variability. At least one model can skillfully reproduce the temporal variability of yields in the top-10 producing provinces in China, albeit with a few exceptions. This study, for the first time, provides a complete picture of GGCM performance in China, which is important for GGCM development and understanding the reliability and uncertainty of national- and provincial-scale crop yield prediction in China. [ABSTRACT FROM AUTHOR]

Leaf gas exchange plays a critical role in determining crop final yield, and there is a threshold response of leaf gas exchange to water stress. It is of great significance to quantify crop water stress severity by using the response characteristics of leaf gas exchange to drought. However, it is currently unclear whether leaf gas exchange serve as a reliable indicator for predicting crop final yield in response to drought, which affects the accuracy of monitoring agricultural drought using physiological indicators during the crop growing season. This study determined the response threshold of leaf gas exchange to drought for spring wheat through a serials of soil dry-down experiments and used the threshold characteristics to construct and parameterize a spring wheat growth model. Spring wheat were designed to be irrigated with five treatments (with supplementary irrigation at 230 mm, 165 mm, 115 mm, 50 mm and 0 mm). Crop model were used to simulate and analyze the threshold response characteristics of grain yield to drought and compare them to the thresholds of leaf gas exchange indices for spring wheat. The results showed that the response threshold of stomatal conductance of spring wheat to fraction of transpirable soil water was 0.5, which was greater than that of transpiration rate and net photosynthetic rate, 0.4. The parameterized spring wheat growth model with the response threshold of net photosynthetic rate to fraction of transpirable soil water accurately simulated the aboveground biomass and final yield of spring wheat. The response threshold of spring wheat final yield to fraction of transpirable soil water was significantly smaller than that of leaf gas exchange parameters to fraction of transpirable soil water (0.18 versus 0.4). This indicates that there are certain problems in using physiological indicator such as leaf gas exchange indices during crop growing season to determine the agricultural drought severity and reflect the reduction of final crop yields due to drought. [ABSTRACT FROM AUTHOR]

Long-term experiments (LTEs) are a vital source of information contributing to understanding and assessing the sustainability of agricultural systems. The Broadbalk Wheat Experiment at Rothamsted Research, UK, started in 1843, is the oldest continuing LTE in the world. In 1968, and later, major modifications were made to the experiment. These included the introduction of short-straw winter wheat varieties, growing wheat in rotation with other crops, for comparison with continuous (monoculture) wheat and testing higher rates of N fertilizer (up to 288 kg N ha-1). Other changes included the use of herbicides and other agrochemicals, except on selected sections. Regular liming continued to maintain soil pH. This paper reports crop yields and soil changes since 1968 and summarizes other studies including the incidence of weeds, pests and crop diseases, effects of treatments on nitrate and phosphate movement to drainage water, greenhouse gas fluxes, measurements of N and S inputs from the atmosphere, and many other factors. The change to short-straw varieties led to a doubling of grain yields. In recent years with cv. Crusoe yields of first wheat after a 2-year break in a rotation were >3 t ha-1 greater than continuous wheat, mainly because of decreased incidence of soil-borne pests and diseases. On average, yields of continuous wheat tended to increase at N rates up to 240 or 288 kg N ha-1 while the 1st wheat after a 2-year break often needed less N to reach maximum yield. Best yields now exceed 12 t ha-1 in some years. [ABSTRACT FROM AUTHOR]

Monitoring of bioinoculants once released into the field remains largely unexplored; thus, more information is required about their survival and interactions after root colonization. Therefore, specific primers were used to perform a long-term tracking to elucidate the effect of Hartmannibacter diazotrophicus on wheat and barley production at two experimental organic agriculture field stations. Three factors were evaluated: organic fertilizer application (with and without), row spacing (15 and 50 cm), and bacterial inoculation (H. diazotrophicus and control without bacteria). Hartmannibacter diazotrophicus was detected by quantitative polymerase chain reaction on the roots (up to 5 × 105 copies g−1 dry weight) until advanced developmental stages under field conditions during two seasons, and mostly in one farm. Correlation analysis showed a significant effect of H. diazotrophicus copy numbers on the yield parameters straw yield (increase of 453 kg ha−1 in wheat compared to the mean) and crude grain protein concentration (increase of 0.30% in wheat and 0.80% in barley compared to the mean). Our findings showed an apparently constant presence of H. diazotrophicus on both wheat and barley roots until 273 and 119 days after seeding, respectively, and its addition and concentration in the roots are associated with higher yields in one crop. [ABSTRACT FROM AUTHOR]

As an important macro element for all living cells, phosphorus is essential in agricultural production systems and is required in large quantities by elite varieties of crops to maintain yields. Approximately 70% of the worldwide cultivated land suffers from phosphorous deficiency, and it has recently been estimated that the worldwide phosphorous resources will be shattered by the end of this century, thereby increasing the need to develop phosphorus-efficient crops. A greater understanding of how plants can maintain yield with lower phosphorous availability is highly desirable to both breeders and farmers. For this research, we focused on the phosphorusstarvation tolerance 1 (PSTOL1) gene, which is known to be involved in enhancing early root growth, thereby enabling plants to acquire more phosphorus and other nutrients and enhancing grain yield in phosphorus-deficient soil. As there is no reported structure and function of the PSTOL1 gene, this project involves a distinct set of opportunities and challenges and requires different approaches to model the interaction between PSTOL1 and the gene phosphorous uptake 1 (PUP1). This article covers the modeling, docking, and simulation of PSTOL1 to check the protein stability and its behavior over time. The physiochemical properties were ascertained, a phylogenetic tree was constructed to find the evolutionary relationship, and the conserved domains were analyzed for functional annotation. This study reports that the advancement of the PSTOL1-mediated phosphorous uptake 1 (PUP1) signaling cascade using structural bioinformatics is a potent biological mechanism against phosphorous starvation in wheat. [ABSTRACT FROM AUTHOR]

Salicylic acid (SA) has emerged as an excellent phyto-hormone to improve stress tolerance in plants. However, no information is available about the role of SA under combined SS and HS. Therefore, this study was performed to underpin the potential role of SA to mitigate SS and HS in wheat crop. The study was comprised of different treatments: control, SS (8 dS m-1), HS (imposed at flag leaf stage) and combination of SS (8 dS m-1) and HS and different levels of SA: control, 50 mM, 100 mM and 150 mM. Salinity and HS substantially decreased the growth, and yield traits of wheat that was linked with increased electrolyte leakage (EL), malondialdehyde (MDA) and hdrogen peroxid (H2O2) production, sodium (Na+) and chloride (Cl-) accumulation and decrease in relative water contents (RWC), photosynthetic pigments, total soluble proteins (TSP) and free amino acids (FAA) accumulation and nutrient uptake. Nonetheless, foliar applied SA particularly 150 mM appreciably improved the growth and yield of wheat crop by increasing RWC, antioxidant activity soluble sugars, proline, TSP, FAA accumulation, nutrient uptake and decreasing EL, electrolyte leakage, MDA and H2O2 and restricting the entry of toxic ions. Therefore, these findings suggested that SA could improve the growth and yield of wheat under SS and HS stresses by improving physiological activity, photosynthetic pigments, antioxidant activity and accumulation of osmolytes. [ABSTRACT FROM AUTHOR]

In the present study, a field establishment was initiated in 2018 with eight treatment conditions using biochar application rates of 0, 10, 20, or 30 t/ha and nitrogen application rates of 0 or 150 kg/ha. After two years, the impact of biochar on carbon-nitrogen distributions, soil aggregate stability, and wheat yields was then assessed. The predominant mechanical aggregates after two years were > 5 mm and 2–5 mm granular aggregates, with notable increases in the amounts of these aggregates following the application of biochar with or without nitrogen that coincided with an increase in soil aggregate mechanical stability. Relative to control conditions, aggregate mean weight diameter (MWD) and geometric weight diameter (GMD) values rose by 17.6% and 24.3% for biochar with nitrogen treatment (N: 150 kg/ha; biochar: 20 t/ha), respectively. Biochar application alone and the application of both biochar and nitrogen fertiliser were associated with 6.4–20.2% and 20.7–42.7% increases in spring wheat yields, respectively. Overall, the results of these analyses highlight the value of applying biochar to improve soil quality and boost crop yields proximal to the study site. This study provided the scientific basis for the rational fertilisation and scientific management of biochar combined with nitrogen fertiliser in the irrigation area of Northern Xinjiang, China. [ABSTRACT FROM AUTHOR]

Plant growth regulators (PGRs) play an important role in increasing crop yield, and quality, and enhancing crop stress resistance in agricultural production, especially for important crops. PGRs can affect the transport and distribution of assimilates by changing the content and distribution of endogenous hormones in plants. Numerous empirical research results have proven that PGRs have an important impact on the growth, development, and yield composition of wheat. Taking wheat plants as an example, this study reviews the application of PGRs in wheat production and explores their impact on wheat growth and yield. Furthermore, residues and microbial degradation of PGRs are summarized in detail. Finally, future research directions on PGR application in wheat production are proposed. This summary is of great significance for understanding the role of PGRs in wheat production. [ABSTRACT FROM AUTHOR]

There is a new method of wheat production called the System of Wheat Intensification (SWI) that manages seed treatment, seed rate, spacing, weeding, and watering. The SWI and traditional methods of wheat sowing differ from each other in terms of potential yield. In comparison to the traditional method of wheat sowing, SWI allows seed treatment, which increases the number of tillers, the number of grains in spike, and the weight of the grain. Wheat seeding in the traditional approach is done at a much closer distance than in the SWI method, which results in faulty germination as a result of increased competition between the plants. In SWI, proper root formation in the early stages of crop growth can be encouraged by increasing the space between plants and rows, as well as increasing the density of plants. For small and medium-sized farmers, it is a great way to boost productivity and income while reducing food poverty at the same time. Using organic manure instead of chemical fertilizer is a new strategy that helps support sustainable agriculture. To help the poorest farmers and enhance their productivity and profit, SWI should be recommended. [ABSTRACT FROM AUTHOR]

Controlled-release nitrogen fertilizer (CRNF) has been expected to save labor input, reduce environmental pollution, and increase yield in crop production. However, the economic feasibility is still controversial due to its high cost. To clarify the suitable application strategy of CRNF in promoting the yield, nitrogen use efficiency and income on wheat grown in paddy soil, four equal N patterns were designed in 2017-2021 with polymer-coated urea (PCU) and common urea as material, including PCU applied once pre-sowing (M1), PCU applied 60% at pre-sowing and 40% at regreening (M2), 30% PCU and 30% urea applied at pre-sowing, 20% PCU and 20% urea applied at re-greening (M3), and urea applied at four stage (CK, Basal:tillering: jointing:booting=50%:10%:20%:20%). In addition, M4-M6, which reduced N by 10%, 20% and 30% respectively based on M3, were designed in 2019-2021 to explore their potential for N-saving and efficiency-improving. The results showed that, compared with CK, M1 did not significantly reduce yield, but decreased the average N recovery efficiency (NRE) and benefits by 1.63% and 357.71 CNY ha-1 in the four years, respectively. M2 and M3 promoted tiller-earing, delayed the decrease of leaf area index (LAI) atmilk-ripening stage, and increased drymatter accumulation post-anthesis, thereby jointly increasing spike number and grain weight of wheat, which significantly increased yield and NRE compared with CK in 2017-2021. Due to the savings in N fertilizer costs,M3 achieved the highest economic benefits.With the 20% N reduction, M5 increased NRE by 16.95% on average while decreasing yield and net benefit by only 6.39%and 7.40%respectively, compared with M3. Although NRE could continue to increase, but the yield and benefits rapidly decreased after N reduction exceeds 20%. These results demonstrate that twice-split application of PCU combined with urea is conducive to achieving a joint increase in yield, NRE, and benefits. More importantly, it can also significantly improve the NRE without losing yield and benefits while saving 20% N input. [ABSTRACT FROM AUTHOR]

The high temperature during crop growing seasons is prevalent in the Indo-Gangetic region, causing heat stress to the plants. Heat stress in wheat is a threat to food security and agricultural sustainability. Finding a heat-stress stable wheat genotype is a timely demand. A field study scrutinized 60 genotypes, designed with five different sowing dates, each with 10-day intervals, to identify the stable one. All the growth parameters showed significant responses to terminal heat stress effects. Wheat yield declined by 20%-57% with the successive heat-stress increases with late sowing dates. Most plant growth parameters had a similar or slight variation in genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV). The higher PCV in pollen sterility, chlorophyll content, and the number of filled grains than GCV indicates environmental influence on the expression of the characters studied. These parameters also showed a direct positive effect on crop yield when analyzed in their path coefficients. Genotype performance in yield incurred heat-stress tolerance index tests and revealed that Sourav, Gourav, SA-8, Chyria 3, CB-47, and Sabia genotypes had suitable tolerance, stress-susceptibility, and high-yield stability indexes, indicating higher yields in stress condition. AMMI analysis also showed a significant variation, and the genotypes SA-8, Chyria 3, Pavan, DSN-117, and Sonalika were the most stable. The most unstable genotypes were SA-2, Kheri, and FYN-PVN. The genotypes SA-8, Chyria 3, Pavan, DSN-117, and Sonalika can benefit further breeding as sources of genetic material to develop heat-tolerant, high-yielding wheat varieties. [ABSTRACT FROM AUTHOR]

Soil erosion poses a significant threat to agricultural production worldwide, with a still-debated impact on the current increase in atmospheric CO2. Whether erosion acts as a net carbon (C) source or sink also depends on how it influences greenhouse gas (GHG) emissions via its impact on crop yield and nutrient loss. These effects on the environmental impacts of crops remain to be considered. To fill this gap, we combined watershed-scale erosion modeling with life cycle assessment to evaluate the influence of soil erosion on environmental impacts of wheat production in the Ebro River basin in Spain. This study is the very first to address the full GHG balance of erosion including its impact on soil fertility and its feedback on crop yields. Two scenarios were simulated from 1860 to 2005: an eroded basin involving conventional agricultural practices, and a non-eroded basin involving conservation practices such as no-till. Life cycle assessment followed a cradle-to-farm-gate approach with a focus on recent decades (1985–2005). The mean simulated soil erosion of the eroded basin was 2.6 t ha−1 year−1 compared to the non-eroded basin. Simulated soils in both eroded and non-eroded basins lost organic C over time, with the former emitting an additional 55 kg CO2 ha−1 year−1. This net C source represented only 3% of the overall life cycle GHG emissions of wheat grain, while the emissions related to the increase of fertilizer inputs to compensate for N and P losses contributed a similar percentage. Wheat yield was the most influential parameter, being up to 61% higher when implementing conservation practices. Even at the basin scale, erosion did not emerge as a net C sink and increased GHG emissions of wheat by 7–70%. Nonetheless, controlling erosion through soil conservation practices is strongly recommended to preserve soils, increase crop yields, and mitigate GHG emissions. [ABSTRACT FROM AUTHOR]

Maintaining or even increasing crop yields while reducing nitrous oxide (N2O) emissions is necessary to reconcile food security and climate change, while the metric of yield‐scaled N2O emission (i.e., N2O emissions per unit of crop yield) is at present poorly understood. Here we conducted a global meta‐analysis with more than 6000 observations to explore the variation patterns and controlling factors of yield‐scaled N2O emissions for maize, wheat and rice and associated potential mitigation options. Our results showed that the average yield‐scaled N2O emissions across all available data followed the order wheat (322 g N Mg−1, with the 95% confidence interval [CI]: 301–346) > maize (211 g N Mg−1, CI: 198–225) > rice (153 g N Mg−1, CI: 144–163). Yield‐scaled N2O emissions for individual crops were generally higher in tropical or subtropical zones than in temperate zones, and also showed a trend towards lower intensities from low to high latitudes. This global variation was better explained by climatic and edaphic factors than by N fertilizer management, while their combined effect predicted more than 70% of the variance. Furthermore, our analysis showed a significant decrease in yield‐scaled N2O emissions with increasing N use efficiency or in N2O emissions for production systems with cereal yields >10 Mg ha−1 (maize), 6.6 Mg ha−1 (wheat) or 6.8 Mg ha−1 (rice), respectively. This highlights that N use efficiency indicators can be used as valuable proxies for reconciling trade‐offs between crop production and N2O mitigation. For all three major staple crops, reducing N fertilization by up to 30%, optimizing the timing and placement of fertilizer application or using enhanced‐efficiency N fertilizers significantly reduced yield‐scaled N2O emissions at similar or even higher cereal yields. Our data‐driven assessment provides some key guidance for developing effective and targeted mitigation and adaptation strategies for the sustainable intensification of cereal production. [ABSTRACT FROM AUTHOR]

The increasing cost of mineral fertilizer has posed a barrier for smallholder farmers, resulting in lower application rates, declined soil fertility status, and crop yield. Therefore, it is vital to look for cheap, impactful, and locally accessible organic fertilizer sources. Thus, two-year on-farm studies were conducted to evaluate potential organic fertilizer sources based on their decomposition dynamics and agronomic, economic, and farmer preference responses. The organic fertilizer sources used were dried tree leaves of Croton macrostachyus (Cm) and Erythrina bruci (Eb) and farm yard manure (FYM) and their mixture at ratios of 1 : 1:0, 2 : 1:0, and 1 : 1:1 Cm : Eb : FYM, respectively. The organic materials were buried using litter bags at 5 tons ha−1 rate in the crop field and retrieved at the weeks of two (14 days), four (28 days), six (42 days), and eight (56 days) after placement. Data were collected that included dry mass (DM) remaining, daily decomposition rate (k), and half-life (t1/2). Furthermore, to validate the findings of litter bag trials, the mixture of three organic fertilizer sources [1 : 1 : 0, 2 : 1 : 0, and 1 : 1 : 1 of Cm : Eb : FYM] and four application times (two, four, six, and eight weeks before sowing) were evaluated on bread wheat (Triticum aestivum) as a test crop in factorial randomized complete block design in a factorial arrangement with three replications. Data on agronomic, economic, and farmers' preferences were recorded. The result revealed an increased weight loss over 56 days in the order of 2 : 1 : 0 > 1 : 1 : 0 > 1 : 1 : 1. The k value significantly (P < 0.05) varied among organic fertilizer sources. The k value (% day−1) in 2013 varied between 3.42% and 0.023%, whereas in 2014, it was 3.10% and 0.23% for Cm and FYM, respectively. The k value was in the order of Cm > 2 : 1 : 0 > 1 : 1 : 0 > Eb > 1 : 1 : 1 > FYM. Applying organic fertilizers two weeks before sowing significantly improved wheat performance compared to applications made eight weeks prior. For example, the mean grain yield was 4.1 tons ha−1 and 2.6 tons·ha−1 at two and eight weeks before sowing, respectively. Although there were no statistically significant differences among the mixed sources, the 2 : 1 and 1 : 1 over 1 : 1 : 1 proportion have resulted in a higher grain yield. Farmers showed the highest preference rank for 2 Cm : 1 Eb and 1 Cm : 1 Eb, incorporated two weeks before sowing. The partial budget analysis demonstrated the highest net benefit from applying two weeks before sowing and 2 Cm : 1 Eb organic material mixture. Considering the findings generated from the decomposition test, agronomic and economic evaluations, and farmers' preferences, we could conclude that the wheat growers should use 2 Cm : 1 Eb and incorporate it into the soil two weeks before sowing. [ABSTRACT FROM AUTHOR]

As one of the essential nutrients for plants, nitrogen (N) has a major impact on the yield and quality of wheat worldwide. Due to chemical fertilizer pollution, it has become increasingly important to improve crop yield by increasing N use efficiency (NUE). Therefore, understanding the response mechanisms to low N (LN) stress is essential for the regulation of NUE in wheat. In this study, LN stress significantly accelerated wheat root growth, but inhibited shoot growth. Further transcriptome analysis showed that 8468 differentially expressed genes (DEGs) responded to LN stress. The roots and shoots displayed opposite response patterns, of which the majority of DEGs in roots were up-regulated (66.15%; 2955/4467), but the majority of DEGs in shoots were down-regulated (71.62%; 3274/4565). GO and KEGG analyses showed that nitrate reductase activity, nitrate assimilation, and N metabolism were significantly enriched in both the roots and shoots. Transcription factor (TF) and protein kinase analysis showed that genes such as MYB-related (38/38 genes) may function in a tissue-specific manner to respond to LN stress. Moreover, 20 out of 107 N signaling homologous genes were differentially expressed in wheat. A total of 47 transcriptome datasets were used for weighted gene co-expression network analysis (17,840 genes), and five TFs were identified as the potential hub regulatory genes involved in the response to LN stress in wheat. Our findings provide insight into the functional mechanisms in response to LN stress and five candidate regulatory genes in wheat. These results will provide a basis for further research on promoting NUE in wheat. [ABSTRACT FROM AUTHOR]

This paper deals with the significance of precision farming in addressing challenges faced by Indianagriculture. This study aims to advance our understanding of plant sensors and their effectiveness inpredicting plant nitrogen (N) status and crop yields. It seeks to establish a reliable relationship between sensor measurements and actual leaf N content using machine learning algorithms, GreenSeeker, chlorophyll meter, and spectro-radiometer to provide a more accurate and efficient means of N management. The study focuses on variable N-fertilized wheat crops. Increments of 30kg/ha in N application rate increased SPAD values and NDVI both indices showing peak values at 150 kg N/ha. There existed a nearly linear relationship between sensor indices with leaf N content within the boundaries of selected N rates (0 -240 kg N/ha). Further, a correlation analysis of differentsensor (Chlorophyll meter, GreenSeeker) indices with leaf N content was positive and significant (R²=0.86-0.95). Spectro-radiometer-based spectral-derived indices gave a good prediction of plant N status as indicated by an R² value of 0.71. Apart from these sensors, machine learning tools also revealed a very strong positive correlation(0.974) among studied parameters; the heat map generated depicted multicollinearity, which could be considered in further analysis for the predictive model. Overall, the N stress in the wheat crop can be monitored on a real-time basis for determining the N fertilization in this crop. [ABSTRACT FROM AUTHOR]

One of the challenges for global food security is to reliably and sustainably improve the grain yield of cereal crops. One solution is to modify the architecture of the grain-bearing inflorescence to optimize for grain number and size. Cereal inflorescences are complex structures, with determinacy, branching patterns, and spikelet/floret growth patterns that vary by species. Recent decades have witnessed rapid advancements in our understanding of the genetic regulation of inflorescence architecture in rice, maize, wheat, and barley. Here, we summarize current knowledge on key genetic factors underlying the different inflorescence morphologies of these crops and model plants (Arabidopsis and tomato), focusing particularly on the regulation of inflorescence meristem determinacy and spikelet meristem identity and determinacy. We also discuss strategies to identify and utilize these superior alleles to optimize inflorescence architecture and, ultimately, improve crop grain yield. [ABSTRACT FROM AUTHOR]

Introduction: Efficient and accurate varietal classification of wheat grains is crucial for maintaining varietal purity and reducing susceptibility to pests and diseases, thereby enhancing crop yield. Traditional manual and machine learning methods for wheat grain identification often suffer from inefficiencies and the use of large models. In this study, we propose a novel classification and recognition model called SCGNet, designed for rapid and efficient wheat grain classification. Methods: Specifically, our proposed model incorporates several modules that enhance information exchange and feature multiplexing between group convolutions. This mechanism enables the network to gather feature information from each subgroup of the previous layer, facilitating effective utilization of upper-layer features. Additionally, we introduce sparsity in channel connections between groups to further reduce computational complexity without compromising accuracy. Furthermore, we design a novel classification output layer based on 3-D convolution, replacing the traditional maximum pooling layer and fully connected layer in conventional convolutional neural networks (CNNs). This modification results in more efficient classification output generation. Results: We conduct extensive experiments using a curated wheat grain dataset, demonstrating the superior performance of our proposed method. Our approach achieves an impressive accuracy of 99.56%, precision of 99.59%, recall of 99.55%, and an F1-score of 99.57%. Discussion: Notably, our method also exhibits the lowest number of Floating-Point Operations (FLOPs) and the number of parameters, making it a highly efficient solution for wheat grains classification. [ABSTRACT FROM AUTHOR]

The main aim of the study was to systematize and summarize archival data on yields from main field crops from multiple fertilizer experiments of Nikola Poushkarov ISSAPP on various soil types in Bulgaria. A large set of results from the field fertilizer experiments carried out on four different soil types: Calcareous Chernozem (Trastenik village), Haplic Chernozem (Gorni Dabnik village), Haplic Luvisol (Nikolaevo village) and Planosol (Sekirovo village) in the geographical network of Bulgaria of the Nikola Poushkarov ISSAPP has been accumulated. Eight fertilization variants were tested with annual application of potassium (0, 8, 16 and 32 kg/da K2O) on two backgrounds of nitrogen (N) and phosphorus (P) fertilization. Crop rotation during the individual years was as follows: wheat (Triticum aestivum L.), maize (Zea mays L.), sunflower (Helianthus annuus L.) and sugar beet (Beta vulgaris L.), grown under non-irrigation conditions. Optimum rates of fertilization with the main nutrients, N, P and K have been established for the different soil types. There are complex interactions between the different rates of fertilization with the main macronutrients and this has a significant impact on the quantity and quality of agricultural crop yields. The difference in yields between the two investigated periods (1963-1970 and 1971-1975), at the same levels of fertilization, shows that the level of yields and accordingly, the use of nutrients are also determined to a significant extent by the climatic conditions. With an increase in the fertilizer rate, the yields also increase, and the rates of 16 kg and 32 kg K2O remain the most effective, regardless of the occurrence of potassium accumulation in these variants. This was also confirmed by the results of the analysis of variance of the yields of cultivated crops. There was a pronounced increase of the effect of potassium fertilization in soils less supplied with this element, i.e. the Haplic Luvisol (Nikolaevo village) and Planosol (Sekirovo village). The effect of the potassium fertilization increases and expands in well supplied with potassium soils, but possessing unfavorable conditions for nutrition with this element, as in the case with the Calcareous Chernozem (Trastenik village). There was also an effect of potassium fertilization, although inconsistent, in soils well supplied with potassium, such as Haplic Chernozem (Gorni Dabnik village). [ABSTRACT FROM AUTHOR]

Yield and the course of crop vegetation are the result of the interaction between the level of cultivation technology and the course of meteorological conditions, which are a variable production factor. The aim of the study was to quantify the effect of meteorological conditions on the course of development stages and yield of winter wheat cultivated in two technological variants (A1 - medium-intensive and A2 - intensive). The paper uses data on yield and timing of winter wheat development stages from four Experimental Stations for Variety Testing (Pol. Centralny Ośrodek Badania Odmian Roślin Uprawnych - COBORU) experimental stations from 2007-2016 located within the Upper Vistula and Upper Oder River basins. To determine the dependence of the length of development stages of winter wheat on the values of selected meteorological elements, the linear regression metod, correlation coefficient. It was found that the lengths of the selected developmental stages are positively correlated with air temperature and negatively correlated with the sum and number of days with precipitation in these stages. A 1°C increase in air temperature resulted in a shortening of the shooting - heading and heading - full maturity periods by 2.5 and 2.8 days respectively. An increase of 100 mm of precipitation in the periods sowing - full maturity and heading - full maturity resulted in an increase of these periods by 5 and 10 days. Increasing the number of days with precipitation by 10 days in the sowing - full maturity and heading - vax maturity stages resulted in extending these stages by 4.1 to 4.4 and 7 to 7.5 days for the A1 and A2 cropping technologies, respectively. [ABSTRACT FROM AUTHOR]