Search

Soybean (Glycine max L. Merrill) is a versatile crop that holds a high level of protein and fatty acid-rich oil. It plays a vital role in global exchange and the demand for soybean is increasing globally owing to its multiple uses, especially for de-oiled cakes. Therefore, improving the soybean crop productivity helps to acquire additional revenue for the nation. This review highlights the significant role of macro and micro-nutrients in soybean crop. Using different components of crop nutrient inputs like inorganic fertilizers, organic manures and biofertilizers in an integrated manner paves the way for proper utilization of applied nutrients by soybean leading to higher yield. Additionally, it offers soil fertility enhancement by creating positive effects on soil profile compared to the use of synthetic fertilizers alone. The article also discusses the role of different kinds of nutrient inputs in soybean and offers insights into integrated nutrient management practices that can be used to promote sustainable soybean production. [ABSTRACT FROM AUTHOR]

Nanotechnology seems to have the potential to improve crop yields and help to meet the United Nations 2030 Goal 2: Zero Hunger. The literature is abreast with numerous reports on the application of various metallic, non-metallic, and other nanoparticles (NPs) that have been administered to various crop species over the last decade with fruitful results. The application of NPs has recently been considered as a viable option to alleviate the adverse effects of abiotic stresses on agricultural production. Typically, abiotic stress conditions include salinity, radiation, floods, heat, heavy metals, and drought. By influencing the physiological state of plants at different levels of their organization, NPs' application has shown promising results in mitigating the negative effects of abiotic stresses. In contrast, many reports emphasize upon the toxic effects of NPs on plants, especially at higher concentrations. Therefore, adequate research is required to understand the effects of different concentrations of NPs before nanotechnology can be successfully used in commercial agricultural systems. Simultaneously, it is equally important to promulgate the statutory regulations associated with the judicial and safe use, disposal, and toxicity studies of NPs as well as approval and release of the nano-products. In the present review, we have dwelled upon the forementioned aspects related to NPs application besides summarizing an updated account of the status of NPs-mediated mitigation of major abiotic stresses in crops. [ABSTRACT FROM AUTHOR]

The pursuit of sustainable agriculture has become imperative in addressing global food security challenges while minimizing environmental impacts. Recent innovations in nanotechnology have given rise to a promising solution: nanofertilizers. Research reveals that these nanofertilizers can significantly enhance nutrient use efficiency, reducing environmental consequences, and advancing the cause of cleaner production. With potential increases of up to 30% in nutrient use efficiency and 20% in crop yields compared to traditional fertilizers, nanofertilizers demonstrate the capability to substitute up to 50% of conventional fertilizers, thereby diminishing their ecological footprint. This review paper explores the emerging trends and advancements in the field of nanofertilizers and their potential to revolutionize modern agriculture. We delve into the fundamental concepts of nanofertilizers, including their unique characteristics and controlled-release mechanisms. We analysed the impact of nanofertilizers on crop productivity, quality, and growth through the lens of research findings and case studies. While acknowledging the substantial potential of nanofertilizers, we also address environmental and safety considerations, emphasizing the importance of responsible deployment. In an era prioritizing environmental concerns, nanofertilizers offer a promising solution to meet growing food demands while protecting ecosystems.Highlights: Nanofertilizers enhance nutrient use efficiency, reducing environmental pollution from conventional fertilizers. Controlled release properties of nanofertilizers align nutrient availability with plant growth, boosting productivity. Nanofertilizers support sustainable agriculture, addressing global challenges like food security and soil health. [ABSTRACT FROM AUTHOR]

Background: The rhizosphere is the interface between roots and the soil and the site of nutrient and water uptake for plant growth. Root anatomy and the physical, chemical, and biological components of the rhizosphere interact to influence plant growth. Several root developmental and rhizosphere signals combine in the patterning of root cortical anatomy and have implications for the plant's hydro-mineral nutrition and carbon partitioning and therefore crop productivity, especially in edaphic stress. Scope: Here, we highlight how mutualistic mycorrhizal fungi from the rhizosphere mobilize plant molecular actors controlling root anatomical traits, including cortical cell size, to facilitate their establishment and accommodation within the cortex. We explore the effects on plant growth and stress tolerance that may result from the changes in root anatomy driven by interactions with arbuscular mycorrhizal fungi, including altering the metabolic efficiency required for nutrient exploitation. We also discuss opportunities for understanding the genetic control of root anatomy and rhizosphere interactions to enable a comprehensive understanding of the benefits and trade-offs of root-rhizosphere interactions for more productive crops. [ABSTRACT FROM AUTHOR]

Low nutrient use efficiency (NUE) of conventional chemical fertilizers has resulted in the loss of costly nutrients and related environmental implications. Consequently, enhancing crop productivity and nutrient use efficiency are major challenges. In this backdrop, a field experiment was conducted to study the impact of pine oleoresin (POR) and neem oil (NO) coated urea (CU) fertilizers on crop productivity and nutrient recovery efficiency in maize-wheat cropping system grown on Vertisols of central India. The treatment combinations were POR-CU and NO-CU at 100% and 75% of recommended doses of fertilizers (RDF); normal urea (100% RDF); and an unfertilized control. Two years results indicated that the increment in grain yields due to POR-CU and NO-CU applications were 18.8% and 11.7% for maize and 11.6% and 3.49% for wheat, respectively, over normal urea. The apparent recovery efficiency of N (REN) for PORCU, NO-CU, and normal urea at 100% RDF were 65.8%, 64.2%, and 51.4% in maize and 43.2%, 37.0%, and 34.6% in wheat, respectively. There was no significant difference noticed between POR-CU and NO-CU with respect to grain yield and N recovery efficiency. Hence, the study suggested that POR-CU could be a possible alternative option to NO-CU for improving crop yield and NUE. However, further research is needed to determine how effective POR-CU is in diverse agricultural systems and climatic conditions. [ABSTRACT FROM AUTHOR]

What nutrient supply options can ensure maximum productivity and optimize the nutrient uptake of rice–wheat system (R-W system)? an experiment started in the year 1998 (19-year-old) to examine the impact of optimal nutrient supply (NS) strategies to maximize crop productivity and nutritional security in R-W system. To determine the best nutrient management strategies (BNMS), seven different NS methods were tested. These included (organic and mineral fertilizers), as well as combinations such as integrated plant nutrition system (IPNS), IPNS + B (berseem), and IPNS + C (cowpea), with the aim of enhancing the productivity and nutrient absorption of R-W system. Results showed that rice grain yield notably wide-ranging from 1.61 to 5.81 t ha−1 under different NS options and highest rice grain yield (mean of 19 years) was observed at IPNS + C (5.81 t ha−1), which was at par with IPNS (5.79 t ha−1), STCR (soil test crop response) (5.76 t ha−1) and IPNS + B (5.67 t ha−1) followed by 100% recommended dose fertilizer NPK (4.41 t ha−1), which equality with OF (organic farming) (4.04 t ha−1) and lowest was recorded in control plot (1.61 t ha−1). Wheat grain yield varied significantly from 1.43 to 5.86 t ha−1 under different NS options. The highest yield (mean of 19 years) was observed in treatments IPNS + B (5.86 t ha−1), IPNS (5.77 t ha−1), IPNS + C (5.48 t ha−1), and STCR (5.45 t ha−1), followed by OF at 4.49 t ha−1, NPK at 3.76 t ha−1, with the lowest in the control plot at 1.43 t ha−1. Additionally, total phosphorus and sulfur accumulation in rice (grain: 8.41 to 39.09 kg ha−1; straw: 6.02 to 23.54 kg ha−1) varied significantly across nutrient supply treatments. Overall, adoption of IPNS integration with legumes (IPNS + B and IPNS + C), can significantly improve productivity and nutrient accumulation in R-W systems. Incorporating legumes into farming practices is advised for sustained productivity and nutritional benefits.Article highlights: Legume integration boosts productivity in rice–wheat systems. Integrated plant nutrition system (IPNS) + cowpea enhances rice yield (5.81 t/ha). Highest wheat yield at IPNS + berseem (5.86 t/ha). [ABSTRACT FROM AUTHOR]

In the context of India's evolving economy, where agriculture remains a vital yet limited sector, the challenge is to enhance productivity on finite cultivable land. This research addresses this imperative by introducing the Crop Yield Prediction Using Deep Learning (CYPBL) model, leveraging the Bi-Directional Long Short-Term Memory (Bi-LSTM) algorithm. Employing soil health and crop yield data from the Government of India, the CYPBL model is implemented through PySpark for scalability. Featuring 20 LSTM layers with a 12 × 1 input shape, including a bidirectional LSTM layer, the model achieves exceptional accuracy at 99.5 percent on test data. With a focus on real-time data, a batch size of 1 ensures optimal responsiveness. Beyond technological advancements, CYPBL emerges as a groundbreaking soil health monitoring system, bridging the gap between experts and farmers. By empowering farmers with insights into soil conditions, crop suitability, and improvement strategies, this research paves the way for data-driven, responsive agriculture in India and globally, contributing to the pressing issue of global food security. [ABSTRACT FROM AUTHOR]

The current diagnostic agronomy study of the Bankura region of West Bengal, India, examined the variations in crop yields through a socio-ecological analysis of multiple production systemcomponents. Envirotyping for root cause analysis was employed to delve into the variables that affect the performance of rainfed production systems. Mother Earth, man, machine, management, andmaterials (5Ms concept) were the five indicators under which the variables were grouped. Findings demonstrated the fragility of the region's soils due to its undulating terrain, unpredictable rainfall patterns, and frequent drought scenarios. The LULC's NDVI showed that the agricultural area is about 60% and 43% of the total geographical area in the Hirbandh and Ranibandh blocks, respectively. Soils are acidic and diagnosed with deficiency of both macro and micronutrients (phosphorous, sulfur, and boron) having poor water holding capacity (35 to 55 mm for a 50 cm soil depth). The sand and soil organic carbon contents ranged between 43.04%-82.32% and 0.17%-1.01%, respectively with a low bacterial population. These factors are the root cause for low cropping intensity (106%) and low paddy productivity (3,021 kg/ha). Overall, the study contributes to designing and scaling-up of sustainable landscape management practices that could ensure higher cropping intensity and system productivity in similar agro-ecologies with limited evidence. [ABSTRACT FROM AUTHOR]

Return of crop residues directly as straw, animal manure, or biochar are recommended management options for biowaste recycling and soil organic carbon (SOC) maintenance in agriculture. However, to address the soil health challenges associated with soil degradation and climate change, it is critical to determine if or which of these different forms of crop residues could deliver a synergic improvement in SOC storage, emission reduction, and crop productivity following field application. In this study, maize straw in the form of air‐dried biomass (CS), manure via cattle digestion (CM), and biochar via pyrolysis (CB) was respectively amended once at a dose of 10 t C ha−1, in comparison to no maize straw addition (CK), in a paddy field under rice‐wheat rotation. Changes in soil properties, SOC storage, greenhouse gas (GHG) emissions, and rice/wheat yield were examined over two consecutive rice/wheat rotation cycles following soil amendment. The total rice grain yield considerably increased by 6% under CM and CB, while it reduced by 6% under CS compared to CK. Soil nutrient content persistently increased under CM and CB by 4.2% ~ 17% and 11% ~ 26% for total nitrogen, 26% ~ 61% and 20% ~ 53% for available P, and 2% ~ 82% and 30% ~ 115% for available K, respectively. Topsoil SOC storage increased considerably by 8% under CM and 20% under CB, while remained unchanged under CS, compared to CK. The total methane (CH4) and nitrous oxide (N2O) emissions were considerably increased by 7 folds and 15% under CS and 3.5 folds and 61% under CM, respectively, compared to CK. In contrast, these emissions considerably decreased under CB by 33% for CH4 and 29% for N2O. Consequently, the C emission efficiency considerably reduced under CS and CM but increased under CB over the two rotation cycles monitored. Moreover, the soil quality index (SQI) considerably improved under CM and CB but remained unchanged under CS compared to CK. Among the different forms of straw return, manure, and biochar, straw amendments differed considerably in their effects on C sequestration, GHG emissions, and crop productivity. Only biochar from crop residues synergistically improved these functions in the short‐term following application to paddy soil. [ABSTRACT FROM AUTHOR]

The significance of soil in the agricultural industry is profound, with healthy soil representing an important role in ensuring food security. In addition, soil is the largest terrestrial carbon sink on earth. The soil carbon pool is composed of both inorganic and organic forms. The equilibrium of the soil carbon pool directly impacts the carbon cycle via all of the other processes on the planet. With the development of agricultural systems from traditional to conventional ones, and with the current era of precision agriculture, which involves making decisions based on information, the importance of understanding soil is becoming increasingly clear. The control of microenvironment conditions and soil fertility represents a key factor in achieving higher productivity in these systems. Furthermore, agriculture represents a significant contributor to carbon emissions, a topic that has become timely given the necessity for carbon neutrality. In addition to these concerns, updating soil-related data, including information on macro and micronutrient conditions, is important. Carbon represents one of the major nutrients for crops and plays a key role in the retention and release of other nutrients and the management of soil physical properties. Despite the importance of carbon, existing analytical methods are complex and expensive. This discourages frequent analyses, which results in a lack of soil carbon-related data for agricultural fields. From this perspective, in situ soil organic carbon (SOC) analysis can provide timely management information for calibrating fertilizer applications based on the soil–carbon relationship to increase soil productivity. In addition, the available data need frequent updates due to rapid changes in ecosystem services and the use of extensive fertilizers and pesticides. Despite the importance of this topic, few studies have investigated the potential of image analysis based on image processing and spectral data recording. The use of spectroscopy and visual color matching to develop SOC predictions has been considered, and the use of spectroscopic instruments has led to increased precision. Our extensive literature review shows that color models, especially Munsell color charts, are better for qualitative purposes and that Cartesian-type color models are appropriate for quantification. Even for the color model, spectroscopy data could be used, and these data have the potential to improve the precision of measurements. On the other hand, mid-infrared radiation (MIR) and near-infrared radiation (NIR) diffuse reflection has been reported to have a greater ability to predict SOC. Finally, this article reports the availability of inexpensive portable instruments that can enable the development of in situ SOC analysis from reflection and emission information with the integration of images and spectroscopy. This integration refers to machine learning algorithms with a reflection-oriented spectrophotometer and emission-based thermal images which have the potential to predict SOC without the need for expensive instruments and are easy to use in farm applications. [ABSTRACT FROM AUTHOR]

Climate change-induced drought stress decreases crop productivity, but the application of β-sitosterol (BS) and biochar (BC) boosts crop growth and yield. A pot experiment was conducted to examine the effects of the alone and combined application of BS and BC on the growth and yield of Phaseolus vulgaris under drought stress. The synergistic application of BS and BC increased plant height (46.9 cm), shoot dry weight (6.9 g/pot), and root dry weight (2.5 g/pot) of P. vulgaris plants under drought stress. The trend of applied treatments for photosynthetic rate remained as BC (15%) < BS (28%) < BC + BS (32%), compared to drought-stressed control. Similarly, the trend of applied treatments for water use efficiency was BS < BC < BC + BS, compared to drought stress control. The levels of malondialdehyde and hydrogen peroxide were reduced by the combined application of BS and BC under drought stress, measuring at 22.8 and 66.4 μmol/g fresh weight, respectively. The combined use of BS and BC significantly alleviated drought stress more than when applied individually. Thus, employing BS and BC together as key agents in drought-stressed common bean plants could promote resilience, fostering growth amid ongoing climate change. Co-applying β-sitosterol and biochar improved drought resilience in Phaseolus vulgaris. Nutrient uptake and biochemical metrics increased in P. vulgaris with the combined effect of β-sitosterol and biochar. This approach enhances growth parameters, suggesting resilience to climate change. [ABSTRACT FROM AUTHOR]

• Silicon dioxide nanoparticles (SiO 2 NPs) enhance Mentha arvensis productivity. • SiO 2 NPs increase plants' growth and enzymatic activities. • SiO 2 NPs improve essential oil production and its active constituents in plants. • SiO 2 NPs are secure, cost-effective, and revolutionize farming techniques. Menthol mint (Mentha arvensis L.) is an aromatic herb cultivated for its essential oil (EO), which has great economic importance in the medicines, cosmetics and food industries. The present study aims to explore the foliage efficacy of silicon dioxide nanoparticles (SiO 2 NPs) to achieve the agronomic outcomes of menthol mint. The foliar application of three distinct forms of SiO 2 NPs [Aerosil R812 (AR812), Aerosil 200F (A200F) and Aerosil 300 (A300)] revealed that effects were more accentuated by the A200F than AR812 and A300 SiO 2 NPs. Out of various applied doses (40, 80, 120, and 160 mg L−1), 120 mg L−1 of Aerosil 200F proved the optimized concentration of SiO 2 NPs for the extraordinary performance (in terms of physiological, biochemical, and yield and quality analyses) of menthol mint plants. The optimized concentration of A200F accelerated the photosynthetic efficiency (maximum photosystem Ⅱ efficiency and photosystem Ⅱ operating efficiency by 8.43 % and by 19.6 %, respectively) and the activities of antioxidant enzymes viz. catalase (81.3 %), peroxidase (71.9 %), and superoxide dismutase (32 %) over the control plants. Moreover, supplementation of SiO 2 NPs provides better strength to the plants in controlling the excess levels of lipid peroxidation in terms of thiobarbituric acid reacting substances (TBRAS) by 27.3 % and hydrogen peroxide (H 2 O 2) concentration by 86.8 %. Additionally, foliar application of A200F (120 mg L−1) enhanced EO content and the main bio-active constituents i.e., menthol and menthyl acetate by 62.5 %, 13.9 %, and 35.1 %, respectively. Overall, this study suggests that distinct forms of SiO 2 NPs have advantageous effects on crop development by eliciting physiological, and biochemical reactions and EO production. [ABSTRACT FROM AUTHOR]

Purpose: Bitter gourd (Momordica charantia L.) is one of the most important crops cultivated in the tunnel. However, its yield and quality are severely deteriorated by practicing non-judicious and untimed application of fertilizers. A study was envisaged to investigate the effect of fertilizer application at specific times on the production of off-season bitter gourd (PALEE F1 hybrid) in high tunnels. Research Method: This study was conducted at the Nuclear Institute for Food and Agriculture (NIFA). The fertilizers (10-15 kg NPK ha-1) were applied at 7, 14, and 21-day intervals starting from crop establishment till mid of July. The study was comprised of four treatments and three replicates and was carried out under a Randomized Complete Block Design (RCBD). Findings: The results revealed that the maximum marketable bitter gourd yield (2047 kg/ 250 m² tunnel) was recorded in the treatment receiving NPK at 10-10-15 kg ha-1 as fertigation at 7-day intervals. Meanwhile, the minimum bitter gourd yield (392 kg/ 250 m²) was recorded in control (no NPK fertilizer applied). Maximum straw yield (44 kg/ 250 m²) and highest N, P & K uptake (7.05, 1.12 & 13.32) kg/ 250 m²tunnel were recorded in bitter gourd with the NPK application at 7 days intervals. Research Limitations: The crop in tunnels needs optimum vigilance and laborious work. The optimum utilization of technical labor is considered to be a limitation. Originality/ Value: The judicious and well-timed application of a balanced fertilizer regimen may serve as a more effective approach to achieve enhanced crop productivity and quality goals. [ABSTRACT FROM AUTHOR]

This review aims to demonstrate how biochar, derived from agricultural wastes can improve soil physical and chemical properties, reduce greenhouse gas emissions, and contribute to increased agricultural productivity and long-term sustainability. In this review, we analyze the effects of biochar on various soil parameters, including soil bulk density, soil porosity, microbial activity, nutrient content, cation exchange capacities, pH, water holding capacity, and infiltration rates. The results highlight the practical importance of utilizing biochar to improve soil physical and chemical properties. Additionally, the results show that biochar is a practical strategy for improving the growth and yield of crops and reducing greenhouse gas emissions. It can be concluded that biochar can significantly contribute to sustainable agriculture and food security in Jordan by improving soil health, enhancing water retention, and mitigating salinity. [ABSTRACT FROM AUTHOR]

The consumption of blueberries has increased in recent years due to their excellent flavor and high antioxidant activity, which promote human well-being and health. Several sustainable cultural practices, such as biostimulants, have been applied to increase crop performance. The pre-harvest foliar application of two doses of a biostimulant based on the macroalgae Ecklonia maxima (EM), two doses of a glycine–betaine (GB) biostimulant, and two doses of the combination of the biostimulants in 'Duke' and 'Draper' blueberry cultivars in 2022 and 2023 were studied. The application of 4 L ha−1 EM significantly increased the yield of 'Draper' blueberries, while the same occurred in 'Duke' fruits treated with 4 L ha−1 EM + 4 kg ha−1 GB. The blueberries sprayed with both doses of EM + GB were heavier and larger. 'Duke' fruits treated with EM were firmer and, following 4 L ha−1 EM + 4 kg ha−1 GB treatment, presented a lower concentration of organic acids, determined by HPLC, greater sensorial sweetness, and lower acidity. Therefore, these biostimulants are recommended for a more environmentally friendly production perspective, as they may increase blueberry yield and improve fruit quality. [ABSTRACT FROM AUTHOR]

Irrigated agricultural lands in arid and semi-arid regions are prone to soil degradation. Remote sensing technology has proven useful for mapping and monitoring the extent of this issue. To accurately discern soil salinity, it is essential to choose appropriate spectral wavelengths. This study evaluated the potential of the land degradation index (LDI) using the visible and near infrared (VNIR) and the short wavelength infrared (SWIR) spectral bands compared to that of soil salinity indices by integrating only the VNIR wavelengths. Landsat-OLI and Sentinel-MSI data, acquired 2 weeks apart, were rigorously preprocessed and used. This research was conducted over irrigated agricultural land in Morocco, which is well known for its semi-arid climate and moderately saline soil. Furthermore, a field soil survey was conducted and 42 samples with variable electrical conductivity (EC) were collected for index calibration and validation of the results. The results showed that the visual analysis of the derived maps based on the examined indices exhibited a clear spatial pattern of gradual soil salinity changes extending from the elevated upstream plateau to the downstream of the plain, which limits agricultural activities in the southwestern sector of the study area. The results of this study show that LDI is effective in identifying soil salinity, as indicated by a coefficient of determination (R2) of 0.75 when using Sentinel-MSI and 0.72 with Landsat-OLI. The R2 value of 0.89 and root mean square error (RMSE) of 0.87 dS/m for soil salinity maps generated from LDI with Sentinel-MSI demonstrate high accuracy. In contrast, the R2 value of 0.83 and RMSE of 1.24 dS/m for maps produced from Landsat-OLI indicate lower accuracy. These findings indicate that high-resolution Sentinel-MSI data significantly improved the prediction of salinity-affected soils. Furthermore, this study highlights the benefits of using VNIR and SWIR bands for precise soil salinity mapping. [ABSTRACT FROM AUTHOR]

In Africa, mixed cropping and intercropping are widely practiced, boosting the provision of ecosystem services such as improved pest control, nutrient cycling, and systems profitability. This study aimed at characterizing the role of associated crops in organic banana and plantain cropping systems and investigating their contribution to pest control and improved productivity of the system. The type of associated crops, crop productivity/profitability, and arthropod communities were assessed in 12 organic banana farmer's fields randomly selected. The attractiveness potential of predator arthropods in the plots of three vegetable species and cowpea associated with organic plantains was evaluated using an experimental site. In total, 2112 arthropod specimens were collected in organic banana farms including 975 individuals of predatory arthropods. The abundance of several predators including seven-spot ladybird Coccinella septempunctata, staphylinids Staphylinus sp., ants Camponotus sp., spiders Araneus sp. and some herbivore species variegated locust Zonocerus variegatus and vegetable leafminer Liriomyza sativae was manly observed in the gardens. The abundance of the three pest herbivores Chaetanaphothrips, Southern Green Stink Bug Nezara viridula, and Diabrotica virgifera were lower in the presence of associated plant species. Mixed gardens (or intercrops) had a significant effect on the overall productivity and financial profitability of the banana and plantain cropping systems. Groundnut and banana and plantain associations had the highest average gross margin per hectare followed by association with maize. In the experimental site, the predator abundance was highest on Vernonia amygdalina followed by Vigna unguiculata and Ocimum gratissimum. These Findings show out interesting banana and crop association which could help to implement strategies for sustainable ecological pest management. [ABSTRACT FROM AUTHOR]

Abstract The pursuit of sustainable agriculture has become imperative in addressing global food security challenges while minimizing environmental impacts. Recent innovations in nanotechnology have given rise to a promising solution: nanofertilizers. Research reveals that these nanofertilizers can significantly enhance nutrient use efficiency, reducing environmental consequences, and advancing the cause of cleaner production. With potential increases of up to 30% in nutrient use efficiency and 20% in crop yields compared to traditional fertilizers, nanofertilizers demonstrate the capability to substitute up to 50% of conventional fertilizers, thereby diminishing their ecological footprint. This review paper explores the emerging trends and advancements in the field of nanofertilizers and their potential to revolutionize modern agriculture. We delve into the fundamental concepts of nanofertilizers, including their unique characteristics and controlled-release mechanisms. We analysed the impact of nanofertilizers on crop productivity, quality, and growth through the lens of research findings and case studies. While acknowledging the substantial potential of nanofertilizers, we also address environmental and safety considerations, emphasizing the importance of responsible deployment. In an era prioritizing environmental concerns, nanofertilizers offer a promising solution to meet growing food demands while protecting ecosystems. Graphical Abstract

Abstract What nutrient supply options can ensure maximum productivity and optimize the nutrient uptake of rice–wheat system (R-W system)? an experiment started in the year 1998 (19-year-old) to examine the impact of optimal nutrient supply (NS) strategies to maximize crop productivity and nutritional security in R-W system. To determine the best nutrient management strategies (BNMS), seven different NS methods were tested. These included (organic and mineral fertilizers), as well as combinations such as integrated plant nutrition system (IPNS), IPNS + B (berseem), and IPNS + C (cowpea), with the aim of enhancing the productivity and nutrient absorption of R-W system. Results showed that rice grain yield notably wide-ranging from 1.61 to 5.81 t ha−1 under different NS options and highest rice grain yield (mean of 19 years) was observed at IPNS + C (5.81 t ha−1), which was at par with IPNS (5.79 t ha−1), STCR (soil test crop response) (5.76 t ha−1) and IPNS + B (5.67 t ha−1) followed by 100% recommended dose fertilizer NPK (4.41 t ha−1), which equality with OF (organic farming) (4.04 t ha−1) and lowest was recorded in control plot (1.61 t ha−1). Wheat grain yield varied significantly from 1.43 to 5.86 t ha−1 under different NS options. The highest yield (mean of 19 years) was observed in treatments IPNS + B (5.86 t ha−1), IPNS (5.77 t ha−1), IPNS + C (5.48 t ha−1), and STCR (5.45 t ha−1), followed by OF at 4.49 t ha−1, NPK at 3.76 t ha−1, with the lowest in the control plot at 1.43 t ha−1. Additionally, total phosphorus and sulfur accumulation in rice (grain: 8.41 to 39.09 kg ha−1; straw: 6.02 to 23.54 kg ha−1) varied significantly across nutrient supply treatments. Overall, adoption of IPNS integration with legumes (IPNS + B and IPNS + C), can significantly improve productivity and nutrient accumulation in R-W systems. Incorporating legumes into farming practices is advised for sustained productivity and nutritional benefits.

Low nutrient use efficiency (NUE) of conventional chemical fertilizers has resulted in the loss of costly nutrients and related environmental implications. Consequently, enhancing crop productivity and nutrient use efficiency are major challenges. In this backdrop, a field experiment was conducted to study the impact of pine oleoresin (POR) and neem oil (NO) coated urea (CU) fertilizers on crop productivity and nutrient recovery efficiency in maize-wheat cropping system grown on Vertisols of central India. The treatment combinations were POR-CU and NO-CU at 100% and 75% of recommended doses of fertilizers (RDF); normal urea (100% RDF); and an unfertilized control. Two years results indicated that the increment in grain yields due to POR-CU and NO-CU applications were 18.8% and 11.7% for maize and 11.6% and 3.49% for wheat, respectively, over normal urea. The apparent recovery efficiency of N (REN) for POR-CU, NO-CU, and normal urea at 100% RDF were 65.8%, 64.2%, and 51.4% in maize and 43.2%, 37.0%, and 34.6% in wheat, respectively. There was no significant difference noticed between POR-CU and NO-CU with respect to grain yield and N recovery efficiency. Hence, the study suggested that POR-CU could be a possible alternative option to NO-CU for improving crop yield and NUE. However, further research is needed to determine how effective POR-CU is in diverse agricultural systems and climatic conditions.

This review aims to demonstrate how biochar, derived from agricultural wastes can improve soil physical and chemical properties, reduce greenhouse gas emissions, and contribute to increased agricultural productivity and long-term sustainability. In this review, we analyze the effects of biochar on various soil parameters, including soil bulk density, soil porosity, microbial activity, nutrient content, cation exchange capacities, pH, water holding capacity, and infiltration rates. The results highlight the practical importance of utilizing biochar to improve soil physical and chemical properties. Additionally, the results show that biochar is a practical strategy for improving the growth and yield of crops and reducing greenhouse gas emissions. It can be concluded that biochar can significantly contribute to sustainable agriculture and food security in Jordan by improving soil health, enhancing water retention, and mitigating salinity

Environmental crises, land degradation, declining factor productivity, and farm profitability questioned the sustainability of linear economy-based existing agricultural production model. Hence, there is a dire need to design and develop circular economy-based production systems to meet the twin objectives of environmental sustainability and food security. Therefore, the productive capacity, natural resource conserving ability, and biomass recycling potential of four intensified maize-based systems viz. maize (Zea mays) + sweet potato (Ipomoea batatas)-wheat, maize + colocasia (Colocasia esculenta)-wheat, maize + turmeric (Curcuma longa), and maize + ginger (Zingiber officinale) were tested consecutively for three years (2020, 2021 and 22) in a fixed plot manner at Dehradun region of the Indian Himalaya against the existing maize-wheat systems. The result showed that the maize + sweet potato-wheat system significantly reduced runoff loss (166.3 mm) over the maize-wheat system. The highest through fall (68.12 %) and the lowest stem flow (23.54 %) were recorded with sole maize. On the contrary, the maize + sweet potato system has the highest stem flow (36.15 %) and the lowest through fall. Similarly, the maize + sweet potato system had 5.6 times lesser soil erosion and 0.77 t ha−1 higher maize productivity over the maize-wheat system. Furthermore, the maize + sweet potato system recorded significantly higher soil moisture (19.3%), infiltration rate (0.95 cm h−1), and organic carbon (0.78%) over the rest of the systems. The maize + sweet potato system also recycled the highest nitrogen (299.2 kg ha−1), phosphorus, (31.0 kg ha−1), and potassium (276.2 kg ha−1) into the soil system. Hence, it can be inferred that concurrent cultivation of sweet potato, with maize, is a soil-supportive, resource-conserving, and productive production model and can be recommended for achieving the circular economy targets in the Indian Himalayas.

Strawberry production in California, the leading producer in the United States, relies on effective field treatments such as cutting runners (stolon) to enhance crop productivity. Manual runner cutting is laborious and costly, motivating the exploration of robotic solutions. This paper presents a deep learning-based approach for runner detection in strawberry plants using RGB images. A two-step framework is proposed, involving a segmentation network to create runner masks and an object detection network to recognize and localize runners. The methodology was evaluated on RGB images of three strawberry cultivars (Monterey, Cabrillo, and Albion), and the results demonstrated the effectiveness of the deep-learning models. The Albion cultivar showed the highest accuracy, emphasizing the influence of cultivar and imaging settings on model performance. Further research is recommended to investigate the relationship between imaging settings and model performance and explore avenues for improvement. The findings contribute to the development of an autonomous runner-cutting robot, offering potential labor-saving technology for strawberry growers.

The significance of soil in the agricultural industry is profound, with healthy soil representing an important role in ensuring food security. In addition, soil is the largest terrestrial carbon sink on earth. The soil carbon pool is composed of both inorganic and organic forms. The equilibrium of the soil carbon pool directly impacts the carbon cycle via all of the other processes on the planet. With the development of agricultural systems from traditional to conventional ones, and with the current era of precision agriculture, which involves making decisions based on information, the importance of understanding soil is becoming increasingly clear. The control of microenvironment conditions and soil fertility represents a key factor in achieving higher productivity in these systems. Furthermore, agriculture represents a significant contributor to carbon emissions, a topic that has become timely given the necessity for carbon neutrality. In addition to these concerns, updating soil-related data, including information on macro and micronutrient conditions, is important. Carbon represents one of the major nutrients for crops and plays a key role in the retention and release of other nutrients and the management of soil physical properties. Despite the importance of carbon, existing analytical methods are complex and expensive. This discourages frequent analyses, which results in a lack of soil carbon-related data for agricultural fields. From this perspective, in situ soil organic carbon (SOC) analysis can provide timely management information for calibrating fertilizer applications based on the soil–carbon relationship to increase soil productivity. In addition, the available data need frequent updates due to rapid changes in ecosystem services and the use of extensive fertilizers and pesticides. Despite the importance of this topic, few studies have investigated the potential of image analysis based on image processing and spectral data recording. The use of spectroscopy and visual color matching to develop SOC predictions has been considered, and the use of spectroscopic instruments has led to increased precision. Our extensive literature review shows that color models, especially Munsell color charts, are better for qualitative purposes and that Cartesian-type color models are appropriate for quantification. Even for the color model, spectroscopy data could be used, and these data have the potential to improve the precision of measurements. On the other hand, mid-infrared radiation (MIR) and near-infrared radiation (NIR) diffuse reflection has been reported to have a greater ability to predict SOC. Finally, this article reports the availability of inexpensive portable instruments that can enable the development of in situ SOC analysis from reflection and emission information with the integration of images and spectroscopy. This integration refers to machine learning algorithms with a reflection-oriented spectrophotometer and emission-based thermal images which have the potential to predict SOC without the need for expensive instruments and are easy to use in farm applications.

The purpose of the researches was to determine how the potassium balance depended on fertilizing system and how it influenced crop productivity. The experimental part of the work was carried out under the conditions of continuous (since 1964) stationary experiment of the Chair of Agrochemistry and Soil Science the basis of which is a 10-field crop rotation deployed in time and space. The soil of the experimental plots is ashed heavy loamy black soil on loess. For simplifying balance calculation the number of comparable and equal articles in the coming part and in the extracted one was reduced. It was considered that the total potassium amount which came from the atmosphere and with seeds was responsible for erosion losses and those from washing off. The results obtained show that potassium balance and its intensity in every rotation was formed unevenly and depended considerably on the level of its coming together with fertilizers and removing when harvesting. It has been proved that when increasing the used fertilizer dose the balance volume rises which characterizes potassium circulation size in agrocenosis.The potassium balance data analysis when leaving unmarketable part in the field has displayed that its intensity increases significantly. Leaving the unmarketable part of the harvest in the field balances potassium in the soil significantly without using high mineral fertilizer doses which entails a number of ecological problems. It has been defined that the majority of crop productivity can be observed at a potassium balance of -30 kg (kg per year). Only clover productivity at a more negative potassium balance has decreased which testifies to its wider tolerance zone as to the given nutrient content in the soil compared to other crop rotations.

Abstract Background Agriculture is Ethiopia’s principal economic activity, employing the vast majority of the population, however, smallholder farmers in the country face long-standing challenges, including low levels of production, low income, and less credit use. This study aimed to analyze the impact of access to credit on crop productivity and income among small-scale farmers in the study area. Methods We conducted a cross-sectional study from January 1st to 30th, 2022. Primary data were collected from purposely selected seven (7) kebele of the district based on potential users of agricultural credit. Then the impact was investigated by applying the propensity score matching technique. A Probit regression model was used to determine factors associated with credit use. The significance of the variables was decided at a 5% level of significance. Results In our study, a total sample of 347 smallholder farmers were randomly selected, out of which 42.9% were credit-users while 59.1% were non-users. Regarding sources of credit use, Vision Fund was the most commonly used source of credit with 67.8% of users, followed by the Omo Microfinance institution with 22.1%. Sex of the farmer, age of the farmer, existence collateral, farm size, attitude towards risk, extension service, membership in credit institutions, road access, and number of total livestock units in tropical livestock units (TLU) had significant effects on credit use at a 5% level of significance. Moreover, the estimates showed that utilizing credit resulted in a rise in crop productivity in current market value and total yearly income by 19,302.44 and 18,009.63 respectively. Conclusion Our study suggested that credit use had a considerable impact on crop productivity and total annual income. As a result, the study recommended that the government’s rural finance policy agenda should prioritize opening different branches near farmers, improving credit usability, and providing more training programs to smallholder farmers to improve their skills and help reduce the problems that impede their use of agricultural credit.

Abstract Climate change poses significant challenges to agricultural systems in the Mediterranean region, with Italy being significantly affected. This literature scoping review aims to examine existing research on the impact of climate change on yield and income on the three agri-food value chains in Italy: viticulture, fruit and vegetables, and dairy cattle. By analysing the available literature, this study seeks to outline the pros and cons, knowledge gaps, and potential areas for future research. A systematic search of scientific databases was conducted to identify relevant articles published between 2000 and 2022. The search terms included climate change, agriculture, Italy, yield, income, and related keywords. Articles were screened based on predetermined inclusion and exclusion criteria, resulting in a final selection of studies. Quantitative information was collected and organized into descriptive tables. The review encompassed 44 studies that investigated the impact of climate change on yield and income in various agricultural sectors across different regions of Italy. The findings indicate that climate change is already impacting crop productivity and income levels, with increased temperature, changes in precipitation patterns, and extreme weather events being identified as the primary drivers. Additionally, disparities were observed between different agricultural regions, crops, and farming systems, highlighting the need for location-specific and crop-specific assessments. The scoping review provides a prospective overview of the existing literature on climate change impacts on yield and income within the Italian agriculture system. It underscores the urgency for targeted adaptation strategies to minimize the negative consequences of climate change. Further research should focus on understanding the complex interactions between climate change, agricultural practices, socio-economic factors, and policy interventions to develop context-specific solutions for sustainable agriculture in Italy. Graphical abstract

Abstract Biochar can significantly alter soil properties and therefore can play an important role in increasing the resilience of agricultural systems to salt conditions. To match biochar to salt-affected soil constraints and application needs, a thorough understanding of the impact of biochar, soil properties and experimental conditions on crop productivity and soil salinity is necessary. This meta-analysis (MA) of the available literature for the first time quantitatively assessed the effect of not only biochar applied to salt-affected soils but also that of different salt-affected soil properties on crop productivity and soil salinity. The results showed that biochar was most effective at improving crop productivity in salt-affected soils, with an application rate ranging from 40–50 t/ha, a C/N ratio ranging from 40–60, a pyrolysis temperature ranging from 450–550 °C and a pH ranging from 7–8. Biochar with an EC of < 2 mS/cm, an application rate of 20–30 t/ha, a C/N ratio of > 80 t/ha or a pyrolysis temperature of < 450 °C reduced the soil salinity. Regardless of climatic and soil conditions, biochar applied to salt-affected soils increased crop productivity under different climatic conditions. Biochar increased soil salinity under different temperature and soil pH conditions and decreased soil salinity in salt-affected soils treated with all types of salts. Biochar was most effective at improving crop productivity and soil salinity in sulfate-dominated saline soils. Regardless of the planting and management practices, biochar increased crop productivity in salt-affected soils. The combined application of biochar and inorganic fertilizer significantly increased crop productivity and kept soil salinity unchanged. This meta-analysis provides the first quantitative review of the effect of biochar on crop productivity and soil salinity in salt-affected soils, which is critical for developing engineered biochar to restore salt-affected soils and promote food security. Graphical Abstract

Abstract Enhancing wheat productivity by implementing a comprehensive approach that combines irrigation, nutrition, and organic amendments shows potential for collectively enhancing crop performance. This study examined the individual and combined effects of using irrigation systems (IS), foliar potassium bicarbonate (PBR) application, and compost application methods (CM) on nine traits related to the growth, physiology, and yield of the Giza-171 wheat cultivar. Analysis of variance revealed significant (P ≤ 0.05) main effects of IS, PBR, and CM on wheat growth, physiology, and yield traits over the two growing seasons of the study. Drip irrigation resulted in a 16% increase in plant height, leaf area index, crop growth rate, yield components, and grain yield compared to spray irrigation. Additionally, the application of foliar PBR at a concentration of 0.08 g/L boosted these parameters by up to 22% compared to the control. Furthermore, the application of compost using the role method resulted in enhanced wheat performance compared to the treatment including mix application. Importantly, the combined analysis revealed that the three-way interaction between the three factors had a significant effect (P ≤ 0.05) on all the studied traits, with drip irrigation at 0.08 g PBR rate and role compost application method (referred as Drip_0.08g_Role) resulting in the best performance across all traits, while sprinkle irrigation without PBR and conventional mixed compost method (referred as sprinkle_CK_Mix) produced the poorest results. This highlights the potential to synergistically improve wheat performance through optimized agronomic inputs.

Rice farming in developing countries contributes significantly to economic growth, yet it confronts diverse risks. Strengthening its resilience necessitates systematically identifying and prioritizing these risks, allowing for optimized resource allocation. The majority of published literature, however, focuses primarily on individual risks rather than comparing or ranking them according to their importance. This regime needs to be more helpful for managers and policy-makers in achieving effective management. As a result, frequent management failures are causing substantial economic losses and threatening food security in the most populous regions of the world. This study addresses these existing research gaps by systematically identifying and prioritizing these risks, aligning with the United Nations Sustainable Development Goal (SDG) 2, viz., Zero Hunger, ultimately contributing to enhanced risk management and developing countries' rice farming sector resilience. Data was obtained from Pakistan through a purposefully designed questionnaire and sourced from a pool of 412 respondents representing a spectrum of stakeholders selected by the snowball technique. Multi-criteria decision analysis (MCDA) was employed to deconstruct and comprehend the data statistically. A key observation is the recognition of the main risks within rice farming, notably revolving around resource-related and external environmental risks. These risks emphasize the critical management of sub-risks of water management and pest and disease. This study also identified several risk sub-factors that are critical but have yet to be extensively discussed in the literature. Furthermore, survey respondents expressed low levels of risk perception and suggested strengthening the management system through policy reforms. To enhance the resilience of rice farming, stakeholders must engage in effective risk communication, capacity building, and policy implementation. Therefore, more comprehensive integrated risk management interventions are urgently needed to address rice farming risks for achieving SDG 2. [ABSTRACT FROM AUTHOR]

High salinity reduces agriculture production and quality, negatively affecting the global economy. Zinc oxide nanoparticles (ZnO-NPs) enhance plant metabolism and abiotic stress tolerance. This study investigated the effects of 2 g/L foliar Zinc oxide NPs on Zea mays L. plants to ameliorate 150 mM NaCl-induced salt stress. After precipitation, ZnO-NPs were examined by UV–visible spectroscopy, transmission electron microscopy, scanning transmission electron microscopy, energy dispersive X-ray, and particle size distribution. This study examined plant height, stem diameter (width), area of leaves, chlorophyll levels, hydrolyzable sugars, free amino acids, protein, proline, hydrogen peroxide, and malondialdehyde. Gas chromatographic analysis quantified long-chain fatty acids, and following harvest, leaves, stalks, cobs, seeds, and seeds per row were weighed. The leaves' acid and neutral detergent fibers were measured along with the seeds' starch, fat, and protein. Plant growth and chlorophyll concentration decreased under salt stress. All treatments showed significant changes in maize plant growth and development after applying zinc oxide NPs. ZnO-NPs increased chlorophyll and lowered stress. ZnO-NPs enhanced the ability of maize plants to withstand the adverse conditions of saline soils or low-quality irrigation water. This field study investigated the effect of zinc oxide nanoparticles on maize plant leaves when saline water is utilized for growth season water. This study also examined how this foliar treatment affected plant biochemistry, morphology, fatty acid synthesis, and crop production when NaCl is present and when it is not. [ABSTRACT FROM AUTHOR]

Enhancing crop photosynthesis through genetic engineering technologies offers numerous opportunities to increase plant productivity. Key approaches include optimizing light utilization, increasing cytochrome b6f complex levels, and improving carbon fixation. Modifications to Rubisco and the photosynthetic electron transport chain are central to these strategies. Introducing alternative photorespiratory pathways and enhancing carbonic anhydrase activity can further increase the internal CO2 concentration, thereby improving photosynthetic efficiency. The efficient translocation of photosynthetically produced sugars, which are managed by sucrose transporters, is also critical for plant growth. Additionally, incorporating genes from C4 plants, such as phosphoenolpyruvate carboxylase and NADP-malic enzymes, enhances the CO2 concentration around Rubisco, reducing photorespiration. Targeting microRNAs and transcription factors is vital for increasing photosynthesis and plant productivity, especially under stress conditions. This review highlights potential biological targets, the genetic modifications of which are aimed at improving photosynthesis and increasing plant productivity, thereby determining key areas for future research and development. [ABSTRACT FROM AUTHOR]

The ameliorative effects of straw decomposition products on soil acidification have been extensively studied. However, the impact of chemically treated straw decomposition products on crop productivity and the underlying microbial mechanisms remain unclear. This study aimed to investigate the effects of two dosages of Ca(OH)2-treated straw decomposition products of peanuts on red soil acidity, fertility, and bacterial and fungal diversity through a pot experiment. The pot experiment included four treatments: chemical nitrogen, phosphorus, and potassium (NPK) fertilization alone (CK), NPK chemical fertilization combined with peanut straw decomposition products (PS), NPK chemical fertilization combined with 4% Ca(OH)2-treated peanut straw decomposition products (PS4Ca), and NPK chemical fertilization combined with 8% Ca(OH)2-treated straw decomposition products (PS8Ca). High-throughput sequencing was performed to investigate the effects of these treatments on soil microbial diversity. The treatments with PS, PS4Ca, and PS8Ca significantly increased soil pH, exchangeable base cations, and nutrient content, whereas they decreased the exchangeable acid, especially exchangeable aluminum. The peanut growth improved substantially with the application of straw decomposition products. Specifically, PS4Ca significantly increased the Shannon and Richness indices of fungi. The principal coordinate analysis showed that the soil microbial communities in the straw decomposition product treatments were significantly different from CK. Linear discriminant analysis effect size identified unique bacteria and fungi between treatments. The Mantel test indicated that exchangeable base cations and pH were significantly positively correlated with bacterial communities, whereas available potassium was positively correlated with fungal communities. The partial least squares path modeling revealed that the bacterial communities positively and directly affected all peanut agronomic traits. In contrast, the fungal communities had a negative and direct effect only on peanut 100-pod weight. Therefore, adding Ca(OH)2-treated straw decomposition products could effectively improve crop productivity by alleviating soil acidification, increasing soil nutrients, and subsequently changing microorganisms. [ABSTRACT FROM AUTHOR]

Agricultural diversity, productivity, and human well-being have been popular topics in recent decades, partly fueled by our quest for sustainability. However, the exact nature of the interconnections among these global priorities remains an area yet to be fully understood and explored. We contribute to this literature by examining how community well-being interacts with distinct levels of diversity and productivity in cropping systems across multiple U.S. communities. Using data at the county-level from 2010 to 2019, we first analyze how well-being varies across communities that differ in their levels of crop diversity and productivity. Then, we investigate how well-being varies across both diversity–productivity characteristics and farming intensity levels. We employ mapping techniques in conjunction with descriptive statistics to uncover and visualize patterns in well-being across contexts. Study findings show a consistent pattern of high levels of well-being across most diversity–productivity categories, with the notable exception of areas that are both highly diverse and highly productive. In addition, places with substantial commercial operations, and where agriculture contributes greatly to overall GDP and employment generally appears to have higher well-being scores compared to other places. Our analysis also reveals that there is more variability in the index of community well-being within each group than across groups of counties. Overall, the results suggest that the differences in community well-being are not solely determined by agricultural indicators, such as diversity–productivity characteristics and farming intensity levels, but also depend on contextual factors, such as social infrastructure, non-agricultural job opportunities, or local economic diversification. [ABSTRACT FROM AUTHOR]

Chickpea (Cicer arietinum L.) is one of the crucial legume crops and a primary source of protein for human beings worldwide. The genetically diverse accessions are valuable sources for further improvement in chickpeas through breeding. In the presented study, the 36 chickpea lines from the Chickpea International Elite Nursery-Winter, International Center for Agricultural Research in the Dry Areas (ICARDA), bore assessment for yield-related traits. Determining the effects of various quantitative and yield-attributing traits on the seed yield used linear regression. Simple linear regression models ran separate evaluations for each studied parameter, including plant height, the height of the first pod, the number of secondary branches, the number of pods, the number of seeds per plant, and 100-seed weight. According to analysis for high seed productivity in chickpea cultivation under organic production conditions, the approximate model ensures a high yield as follows: The plant height ranged from 68 to –78 cm, height to the first pod (26–31 cm), number of secondary branches (8–14), number of pods (52–79), number of seeds (64–95), and 100-seed weight (25–45 g). In determining the seed productivity of chickpea genotypes, a direct positive and significant correlation occurred between the 100-seed weight and the number of seeds per plant. These parameters can serve as effective selection criteria for enhancing the chickpea yield. [ABSTRACT FROM AUTHOR]

In the arid and semi-arid regions of Northwest China, periodic rainfall deficits, high field evaporation, limited freshwater resources, and high irrigation costs restrict crop yield and water productivity (WP). Gravel mulching (GM), a traditional agricultural tillage management practice widely used in arid and semi-arid regions, improves crop yield and WP. However, the combined impacts of GM on crop yield and WP are unclear. This study aimed to examine the effects of GM on crop yield and WP under different factors and to find the most critical regional factors and gravel characteristics that affect crop yield and WP. To quantitatively assess the impact of GM on crop yield and WP, this study performed a meta-analysis, a regression analysis, and a path analysis of 185 yield comparisons and 130 WP comparisons from 30 peer-reviewed scientific reports. This study found that GM significantly increased crop yield and WP by an average of 29.47% and 28.03%, respectively. GM was reported with the highest response percentages (I) of crop yield and WP in regions whose average annual precipitation (AAP) was 200–400 mm, average annual temperature (AAT) was 0–9 °C, and altitude (A) was >1000 m. Overall, AAP, AAT, and A had significant effects on the I of crop yield (p < 0.001), but AAT and A had an insignificant impact on the I of crop WP (p > 0.05). Gravel size (GS), the amount of gravel mulching (AGM), the degree of gravel mulching (DGM), and the gravel mulching thickness (GMT) had a significantly positive impact on crop yield and WP (p < 0.05). The stepwise multiple linear regression analysis results indicated that the primary regional factors influencing yield were AAT and A, contributing 43.14% and 53.09%, respectively. GMT and GS were identified as significant gravel characterization factors impacting yield, contributing 82.63% and 17.37%, respectively. AAP and GMT were the main regional factors and gravel characterization factors affecting WP. Furthermore, the I values for cash crop yield and WP were higher than that for food crops, and moderate fertilization and irrigation would increase the I values of yield and WP. The benefits of GM are strongly correlated with the planting year. This study's results show that GM generally improves crop yield and WP, although the extent of this impact varies based on different conditions. These findings are not only useful in relation to their direct applicability to other countries worldwide but also due to their potential to provide new ideas for agricultural practices in similar crop-growing environments. [ABSTRACT FROM AUTHOR]

Copyright of Acta Agronomica Sinica is the property of Crop Science Society of China and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The purpose of the researches was to determine how the potassium balance depended on fertilizing system and how it influenced crop productivity. The experimental part of the work was carried out under the conditions of continuous (since 1964) stationary experiment of the Chair of Agrochemistry and Soil Science the basis of which is a 10-field crop rotation deployed in time and space. The soil of the experimental plots is ashed heavy loamy black soil on loess. For simplifying balance calculations, the number of comparable and equal articles in the coming part and in the extracted one was reduced. It was considered that the total potassium amount which came from the atmosphere and with seeds was responsible for erosion losses and those from washing off. The results obtained show that potassium balance and its intensity in every rotation was formed unevenly and depended considerably on the level of its coming together with fertilizers and removing when harvesting. It has been proved that when increasing the used fertilizer dose, the balance volume rises which characterizes potassium circulation size in agrocenosis. The potassium balance data analysis when leaving unmarketable part in the field has displayed that its intensity increases significantly. Leaving the unmarketable part of the harvest in the field balances potassium in the soil significantly without using high mineral fertilizer doses which entails a number of ecological problems. It has been defined that the majority of crop productivity can be observed at a potassium balance of -30 kg (kg per year). Only clover productivity at a more negative potassium balance has decreased which testifies to its wider tolerance zone as to the given nutrient content in the soil compared to other crop rotations. [ABSTRACT FROM AUTHOR]

Properly managing nitrogen (N) in different climate scenarios is crucial for enhancing plant growth while minimizing N losses to the environment. This study used a modelling approach to elucidate the effects of climate change and N management practices on grain yields and N losses in the winter (Triticum aestivum L.) – rice (Oryza sativa L.) cropping system in China. The aim of the study was to optimize fertilizer management practices through diverse manure types, N application rates and timings and to increase the resilience of the system to climate change. The SPACSYS (v6.0) model was used, calibrated and validated based on a ten–year field experiment, to simulate crop grain yields and soil N balances under three Shared Socioeconomic Pathways (SSP) scenarios for the period 2020 to 2100, so as to identify the optimal basal and topdressing fertilization regimes and timings for both winter wheat and rice. Our results revealed that the practice of splitting N fertilizer applications, as opposed to applying N fertilizers all at once, mitigated yield losses in wheat and rice under climate projections. Moreover, a higher proportion of topdressing, specifically 60% of the total N application amount for wheat and 50% for rice, showed potential in minimizing N loads to the environment. However, compared with local fertilization practices, additional N through manure under future climate scenarios (2061–2100) significantly increased N losses to water by 0.1–1.2 kg N ha−1 and 1.0–1.8 kg N ha−1 during the wheat and rice growing periods, respectively. Thus, the judicious adoption of various manure types alongside sound N management practices holds promise for increasing the resilience of agricultural systems to climate change. [ABSTRACT FROM AUTHOR]

Climate change severely impacts sub-Saharan Africa, which relies heavily on rainfed agriculture for food production. Variable and insufficient rainfall exacerbates food insecurity across the region. Traditional in situ water harvesting (IS_WH) practices enhance soil water-holding capacity, improve infiltration, and promote soil conservation. This meta-analysis of the peer-reviewed literature examines IS_WH practices' effects on crop yield, soil moisture, runoff, and soil loss reduction across various rainfall conditions in sub-Saharan Africa. The analysis reveals that IS_WH practices significantly boost agricultural productivity, with a combined effect size showing a 71% increase in total crop yield. IS_WH practices also improve soil moisture retention by 59% and effectively reduce runoff by 53% and soil loss by 58.66%, demonstrating their robust water and soil conservation benefits. Despite their proven benefits, the adoption of IS_WH practices in sub-Saharan Africa is hindered by socioeconomic and institutional barriers, including limited technical knowledge, resource constraints, and inadequate extension services. By addressing these barriers, there is significant potential to scale up IS_WH practices, enhancing agricultural productivity and sustainability across the region. Such efforts are crucial for mitigating the impacts of climate change, ensuring food security, and promoting sustainable development in sub-Saharan Africa. [ABSTRACT FROM AUTHOR]

Background: Agriculture is Ethiopia's principal economic activity, employing the vast majority of the population, however, smallholder farmers in the country face long-standing challenges, including low levels of production, low income, and less credit use. This study aimed to analyze the impact of access to credit on crop productivity and income among small-scale farmers in the study area. Methods: We conducted a cross-sectional study from January 1st to 30th, 2022. Primary data were collected from purposely selected seven (7) kebele of the district based on potential users of agricultural credit. Then the impact was investigated by applying the propensity score matching technique. A Probit regression model was used to determine factors associated with credit use. The significance of the variables was decided at a 5% level of significance. Results: In our study, a total sample of 347 smallholder farmers were randomly selected, out of which 42.9% were credit-users while 59.1% were non-users. Regarding sources of credit use, Vision Fund was the most commonly used source of credit with 67.8% of users, followed by the Omo Microfinance institution with 22.1%. Sex of the farmer, age of the farmer, existence collateral, farm size, attitude towards risk, extension service, membership in credit institutions, road access, and number of total livestock units in tropical livestock units (TLU) had significant effects on credit use at a 5% level of significance. Moreover, the estimates showed that utilizing credit resulted in a rise in crop productivity in current market value and total yearly income by 19,302.44 and 18,009.63 respectively. Conclusion: Our study suggested that credit use had a considerable impact on crop productivity and total annual income. As a result, the study recommended that the government's rural finance policy agenda should prioritize opening different branches near farmers, improving credit usability, and providing more training programs to smallholder farmers to improve their skills and help reduce the problems that impede their use of agricultural credit. [ABSTRACT FROM AUTHOR]

As sessile organisms, plants cannot survive in harmful environments, such as those characterized by drought, flood, heat, cold, nutrient deficiency, and salt or toxic metal stress. These stressors impair plant growth and development, leading to decreased crop productivity. To induce an appropriate response to abiotic stresses, plants must sense the pertinent stressor at an early stage to initiate precise signal transduction. Here, we provide an overview of recent progress in our understanding of the molecular mechanisms underlying plant abiotic stress sensing. Numerous biomolecules have been found to participate in the process of abiotic stress sensing and function as abiotic stress sensors in plants. Based on their molecular structure, these biomolecules can be divided into four groups: Ca2+-permeable channels, receptor-like kinases (RLKs), sphingolipids, and other proteins. This improved knowledge can be used to identify key molecular targets for engineering stress-resilient crops in the field. [ABSTRACT FROM AUTHOR]

Climate change poses significant challenges to agricultural systems in the Mediterranean region, with Italy being significantly affected. This literature scoping review aims to examine existing research on the impact of climate change on yield and income on the three agri-food value chains in Italy: viticulture, fruit and vegetables, and dairy cattle. By analysing the available literature, this study seeks to outline the pros and cons, knowledge gaps, and potential areas for future research. A systematic search of scientific databases was conducted to identify relevant articles published between 2000 and 2022. The search terms included climate change, agriculture, Italy, yield, income, and related keywords. Articles were screened based on predetermined inclusion and exclusion criteria, resulting in a final selection of studies. Quantitative information was collected and organized into descriptive tables. The review encompassed 44 studies that investigated the impact of climate change on yield and income in various agricultural sectors across different regions of Italy. The findings indicate that climate change is already impacting crop productivity and income levels, with increased temperature, changes in precipitation patterns, and extreme weather events being identified as the primary drivers. Additionally, disparities were observed between different agricultural regions, crops, and farming systems, highlighting the need for location-specific and crop-specific assessments. The scoping review provides a prospective overview of the existing literature on climate change impacts on yield and income within the Italian agriculture system. It underscores the urgency for targeted adaptation strategies to minimize the negative consequences of climate change. Further research should focus on understanding the complex interactions between climate change, agricultural practices, socio-economic factors, and policy interventions to develop context-specific solutions for sustainable agriculture in Italy. [ABSTRACT FROM AUTHOR]

The characteristics and responses of soil bacterial communities and potato productivity to different fertilization treatments in farmlands in the agropastoral zone of Inner Mongolia were investigated. Moreover, the diversity and structure of soil bacterial communities and potato productivity under different fertilization treatments (no fertilization, CK; phosphorus-deficient treatment, NK; conventional fertilization, NPK; and organic–inorganic combination, NPKM) were assessed using Illumina high-throughput sequencing. The results revealed that soil pH, organic matter (SOM), total nitrogen (TN), and total phosphorus (TP) content, and potato productivity were significantly increased under fertilizer treatments (NK, NPK, and NPKM) compared with those under CK, with NPKM treatment having the best enhancement effect. The application of organic fertilizers significantly increased the Shannon, evenness, Chao1, and Ace indices of soil bacterial communities and reshaped the bacterial community structure. Random forest model analysis revealed that soil pH and TP significantly affected soil bacterial diversity, whereas soil pH, SOM, TP, and TN significantly affected soil bacterial community structure. Correlation and structural equation modeling analyses revealed that soil TP and SOM indirectly affected potato productivity by changing soil bacterial diversity and community composition. The results of this study provide a scientific basis for improving the quality and productivity of farmland soil to guide the rational fertilization of farmlands in the agropastoral zone of northern China. [ABSTRACT FROM AUTHOR]

Establishing connections between ecosystems and agricultural mechanization can help address the challenges of poor decisionmaking in agriculture and prevent further damage to ecosystems. It is essential for agricultural authorities and decision-makers to thoroughly understand ecosystem dynamics and the factors that influence them to develop effective policies for sustainable development. This study focuses on determining optimal conditions for crop patterns and input allocation across fields, specifically in the agricultural landscape of Ilam Province, with an emphasis on technical and energy aspects. The research targets farmers cultivating wheat, barley, fodder maize, and canola in the southern region of Ilam Province, covering Abdanan, Dareshahr, and Dehloran cities. Findings from a survey of 240 farmers reveal significant disparities in machinery, labor, and diesel fuel inputs across the different field levels. Recommendations include adjusting crop patterns by reducing wheat cultivation by 140 hectares and increasing irrigated fodder maize cultivation. Moreover, exploring rainfed cultivation or enhancing rainfed wheat yields is suggested to compensate for the decreased wheat cultivation. Utilizing an objective planning model, the study advocates for a more sustainable cropping model, highlighting wheat, barley, fodder maize, and canola crops. The proposed model introduces 210 additional hectares of irrigated wheat cultivation, along with expansions in irrigated barley and fodder maize cultivation areas. Although rainfed cultivation is uncommon in the area, efforts are directed towards improving the productivity of irrigated crops to support sustainability and enhance agricultural practices in the province. [ABSTRACT FROM AUTHOR]

Biochar can significantly alter soil properties and therefore can play an important role in increasing the resilience of agricultural systems to salt conditions. To match biochar to salt-affected soil constraints and application needs, a thorough understanding of the impact of biochar, soil properties and experimental conditions on crop productivity and soil salinity is necessary. This meta-analysis (MA) of the available literature for the first time quantitatively assessed the effect of not only biochar applied to salt-affected soils but also that of different salt-affected soil properties on crop productivity and soil salinity. The results showed that biochar was most effective at improving crop productivity in salt-affected soils, with an application rate ranging from 40–50 t/ha, a C/N ratio ranging from 40–60, a pyrolysis temperature ranging from 450–550 °C and a pH ranging from 7–8. Biochar with an EC of < 2 mS/cm, an application rate of 20–30 t/ha, a C/N ratio of > 80 t/ha or a pyrolysis temperature of < 450 °C reduced the soil salinity. Regardless of climatic and soil conditions, biochar applied to salt-affected soils increased crop productivity under different climatic conditions. Biochar increased soil salinity under different temperature and soil pH conditions and decreased soil salinity in salt-affected soils treated with all types of salts. Biochar was most effective at improving crop productivity and soil salinity in sulfate-dominated saline soils. Regardless of the planting and management practices, biochar increased crop productivity in salt-affected soils. The combined application of biochar and inorganic fertilizer significantly increased crop productivity and kept soil salinity unchanged. This meta-analysis provides the first quantitative review of the effect of biochar on crop productivity and soil salinity in salt-affected soils, which is critical for developing engineered biochar to restore salt-affected soils and promote food security. [ABSTRACT FROM AUTHOR]

The rapid expansion of urbanization and construction activities has led to a significant increase in cement production worldwide, resulting in a surge in cement waste generation. This study aims to provide a comprehensive analysis of the repercussions of cement waste on soil fertility and crop productivity, emphasizing its critical implications for global food security. Through a multidisciplinary approach, encompassing field surveys, laboratory experiments, and statistical modeling, we assess the physicochemical alterations induced by cement waste in agricultural soils. Our findings reveal substantial declines in crucial soil parameters, including pH levels, organic matter content, and nutrient availability, which directly translate into diminished crop yields. Furthermore, the study identifies key mechanisms underlying these detrimental effects, including altered microbial communities and disrupted nutrient cycling processes. In addition, the findings underscore the severity of the issue, revealing substantial declines in soil fertility and crop yields in areas affected by cement waste contamination. Additionally, we discuss potential mitigation strategies and policy interventions aimed at mitigating the adverse effects of cement waste on agricultural systems. By quantifying the extent of soil degradation and crop yield reduction attributed to cement waste, this research underscores the urgency for sustainable waste management practices and highlights the need for policy interventions to safeguard agricultural productivity and ensure global food security in the face of escalating urbanization and construction activities. [ABSTRACT FROM AUTHOR]

Enhancing wheat productivity by implementing a comprehensive approach that combines irrigation, nutrition, and organic amendments shows potential for collectively enhancing crop performance. This study examined the individual and combined effects of using irrigation systems (IS), foliar potassium bicarbonate (PBR) application, and compost application methods (CM) on nine traits related to the growth, physiology, and yield of the Giza-171 wheat cultivar. Analysis of variance revealed significant (P ≤ 0.05) main effects of IS, PBR, and CM on wheat growth, physiology, and yield traits over the two growing seasons of the study. Drip irrigation resulted in a 16% increase in plant height, leaf area index, crop growth rate, yield components, and grain yield compared to spray irrigation. Additionally, the application of foliar PBR at a concentration of 0.08 g/L boosted these parameters by up to 22% compared to the control. Furthermore, the application of compost using the role method resulted in enhanced wheat performance compared to the treatment including mix application. Importantly, the combined analysis revealed that the three-way interaction between the three factors had a significant effect (P ≤ 0.05) on all the studied traits, with drip irrigation at 0.08 g PBR rate and role compost application method (referred as Drip_0.08g_Role) resulting in the best performance across all traits, while sprinkle irrigation without PBR and conventional mixed compost method (referred as sprinkle_CK_Mix) produced the poorest results. This highlights the potential to synergistically improve wheat performance through optimized agronomic inputs. [ABSTRACT FROM AUTHOR]

Nitrogen (N) has the most crucial influence on raising agricultural productivity of all other plant nutrients given to crops. However, 50% of the N given to crops is dissipated to the environment globally, resulting in environmental concerns due to leaching. Current research shows that intensive agricultural production systems, which are still used in a large proportion around the world, are prone to N loss. This study aimed to investigate the effect of uptake enhancer applications on N movement in the soil profile based on 10 cm depth intervals, as well as its effects on N uptake and vegetative growth of oats at 4-week intervals over a 16-week period, using sandy soil as a growing medium. Oats were cultivated in a glasshouse setting in polyvinyl chloride (PVC) columns of 60 cm in height. Six treatments were employed at the 3rd leaf growth stage, and each was replicated four times. The experiment had a constructive and a destructive part, which was employed to monitor crop N uptake at four growth stages. Analyses of soil and plant samples were carried out in all the growth stages. The treatments containing the uptake enhancer prevented N from leaching, particularly at the top 20 cm soil depth, with impressive reductions of 194% at 0–10 cm depth and 186% at 10–20 cm depth, during the first 4 weeks after planting. The uptake enhancer also promoted early vegetative growth and crop performance with 15%. In conclusion, the study revealed that employing the uptake enhancer can improve the efficacy of N fertilizer, thereby reducing the application rate of the fertilizer in agroecosystems. [ABSTRACT FROM AUTHOR]