Search

This article presents a synthesis of the hypotheses and evidence for plant domestication and the origins of agriculture in the northern Horn of Africa. To date, available archaeological data point to an introduction of agricultural practices to Ethiopia during the late Holocene, c. 1600 BC, influenced by adjacent areas including eastern Sudan, Egypt and southern Arabia. The archaeobotanical record shows that farming in the northern highlands was based on the cultivation of barley, linseed and lentils, combined with the exploitation of local wild grasses from the Panicoideae and Chloridoideae sub-families. This indicates that local populations also played a role in the development of productive activities in the region, a process that might have been in place before the arrival of the southwest Asian agricultural package. After the first millennium BC, amidst an increase in sedentary settlements in the region, new domesticated crops appeared in the archaeological record. These include exogenous crops such as emmer wheat, but also indigenous plants such as t'ef and noog, which were locally domesticated likely throughout the Pre-Aksumite period. With the rise of the Aksumite Kingdom, c. 50 BC – AD 700, the agricultural package again expanded to include of a wide range of pulses, geophytes and other economic crops. Macrobotanical remains of sorghum and finger millet also appear for the first time during this period, although this contrasts with the microbotanical record of the region, which points to an earlier presence. In the southern highlands and southwest Ethiopia, evidence of Plectranthus edulis (Vatke) Agnew (Ethiopian potato or Oromo potato) has been identified by the late first millennium BC, pointing towards an earlier domestication than previously considered. Similarly, enset and coffee remains have been documented during the early first millennium AD. Altogether, new studies are needed to confirm some of these hypotheses, as archaeobotanical studies in the northern Horn are still limited. The combination of macrobotanical and microbotanical data, along with ethnoarchaeological and experimental research programs and linguistic studies, will be of critical importance for refining our current understanding of the processes associated with plant domestication and the introduction of crop production in the region. [ABSTRACT FROM AUTHOR]

Increasing agricultural productivity in low‐ and middle‐income countries (LMICs) is an important channel for reducing poverty and food insecurity. Information and communication technologies (ICT) have the potential to boost agricultural productivity by lowering transaction costs and enhancing access to information. Even though there are several micro‐level studies analysing the effects of ICT on agricultural productivity, there is scant research addressing the role of ICT in agricultural productivity at the global and regional levels. Using data from 86 countries for the period 2000 to 2019 and utilising a fixed effect panel regression with a feasible generalised least square approach, we find that globally there is a positive and significant association between ICT uptake and both land and labour productivity in agriculture. In each case, however, the magnitude of the effect is much smaller than other important determinants, such as human capital, access to inputs or environmental factors. At the regional level, the relationship between ICT uptake and land productivity is not significant in Africa and Asia, while we find a significant effect on labour productivity. This finding indicates that while ICT can provide valuable information and tools for land management, the effect on land productivity might be less immediate in these regions. Finally, we revisit the question of whether ICT expansion increases agricultural productivity gaps between high‐income nations and LMICs. In contrast to previous research, this study does not find significant differences in the effects of ICT on land and labour productivity between higher‐income and lower‐income countries. [ABSTRACT FROM AUTHOR]

The ethnohistory of the Colorado River delta has been substantively misunderstood, owing to the widespread neglect and/or misinterpretations of the writings of Francisco Garcés. In 1771, 1774, and 1775–1776, Garcés undertook three entradas into the delta, and wrote a series of valuable ethnographic accounts. Not only have Garcés's locations and routes frequently been misidentified by earlier scholars, his observations on agricultural production and population size have been ignored or marginalized, enabling misconceptions about delta historical demography and adaptation to flourish. The present paper seeks to restore Garcés's accounts, making his locations and ethnographic observation intelligible and interpretable, and to show how these can help resolve extant misconceptions. Part I focuses on some key texts, tying his locations to a master map. Part II focuses on ethnolinguistic groups and settlement sites, discusses the implications for a better understanding of historical demography and agricultural adaptation in the delta. [ABSTRACT FROM AUTHOR]

Elicitors are considered sustainable alternatives for the management of phytopathogenic viruses. The aim of the present study was to evaluate the effectiveness of nine elicitors on morphology, yield, and fruit quality of tomato plants inoculated with the Tomato brown rugose fruit virus (ToBRFV-Tobamovirus/Virgaviridae), Pepino mosaic virus (PepMV-Potexvirus/Alphaflexiviridae), and mixed infection (ToBRFV + PepMV). The experiment was set up under a completely randomized design with six replicates. Ten days after transplanting, virus inoculation was done mechanically in all the treatments, except the negative controls. Three morphological, four yield, and seven fruit quality variables were evaluated. Virablock® 3G50 increased yield by more than 44% compared with the positive control in plants inoculated with ToBRFV, PepMV, and the mixed infection, while Supermagro cell extract and enhanced Supermagro increased yield in plants inoculated with ToBRFV and the mixed infection by more than 82% and 34%, respectively. Virablock® 3G50 and an ethanolic extract of Arracacia bracteata showed the highest values in fruit quality variables. [ABSTRACT FROM AUTHOR]

Advancements in agricultural production have seen the rapid adoption of protected cropping systems globally. Such systems have been optimized for plant growth and efficiency, with little understanding of the potential impacts to key insect pollinators. Here, we investigate the effect of bird netting and polythene rain covers on the health and performance of honey bees (Apis mellifera L.) during the pollination of sweet cherry crops. Over two consecutive seasons, 12 full‐strength colonies were equipped with tagged bees and radio frequency identification (RFID) systems. The colonies were equally divided between open control, bird netted and polythene (semi‐permanent VOEN in 2019 and retractable Cravo in 2020) groups. Over 1300 individual bees were monitored for the duration of the commercial pollination period to determine behavioural parameters such as foraging commencement age, number and duration of trips and overall survival. Bees began foraging within the optimum age range (mean 15.7–24.1 days) under all covering types, with little indication of prolonged stress or increased mortality during the short season. Polythene covers (VOEN & Cravo) were found to significantly increase the total time needed for bees to orientate successfully. Once orientated, bees placed under covers conducted up to 155% more foraging trips, with a longer cumulative duration. Covering type was found to significantly impact the amount and type of pollen collected, with the most restrictive system (VOEN) yielding the highest proportion of cherry pollen. Overall, we found little evidence to suggest that the tested protective covers have a detrimental impact to honey bee foraging in cherry crops. [ABSTRACT FROM AUTHOR]

Rice is essential to feed the world's population, being the most important staple food in several countries. Crop production has been directly impacted by climate change. Plants can mitigate an increase in atmospheric CO2 concentration through photosynthetic conversion into carbohydrates. However, the potential for this conversion and plant responses to climate change remain unclear. The study was conducted from the cultivation of plants in open-top chambers (OTCs) with two concentrations of CO2, 400 ppm (ambient – a[CO2]) and 700 ppm (enhanced – e[CO2])). We used rice plants of the cultivar IRGA 424 RI. Evaluations occurred in the vegetative (V5 and V11) and reproductive (R2 and R7) stages. As for gas exchange, plants grown under e[CO2] showed increased net CO2 assimilation rate, greater water use efficiency, and higher intercellular CO2 concentration. On the other hand, the lowest values for stomatal conductance, chlorophyll index, nitrogen balance index, percentage of nitrogen in the leaves, and thousand-grain weight were found for this treatment. In addition, there was an increase in the activity of the glutamine synthetase and nitrate reductase enzymes in leaves and roots under e[CO2], as well as a higher content of nitrate, starch, water-soluble polysaccharides and total soluble sugars in leaves in the first evaluated phenological stage. These results showed us that the reductions in chlorophyll levels added to the stimulation of the photosynthetic machinery elevated the nutritional demand. Due to these impacts, nitrogen and carbon metabolism were reduced, negatively reflecting on the yield components of rice plants. [ABSTRACT FROM AUTHOR]

Background: High efficiency, low toxicity, and environmentally safe pesticides are increasingly being sought and developed to ensure sustainable development and high-yield agricultural production. Chelerythrine has strong inhibitory effects against the mycelial growth of crop pathogens such as Fusarium oxysporum, Anthrax, and grey mold. Our previous studies have shown that chelerythrine inhibits fungus spore germination by up to 86.7% and induces the apoptosis of Ustilaginoidea virens cells. The application of chelerythrine as a green biological pesticide would not only enhance agricultural production but also enhance ecological protection. Materials and Methods: The formulation of a chelerythrine suspension concentrate was selected. According to the ratio of experimental design requirements to preparation sample, six groups were set up in the field assay; the first spraying was performed approximately 7 days before the rice rupture period, and the second spraying was performed after 10 days. The control effect was investigated at the milk-ripe stage. The present study preliminarily investigates the safety of chelerythrine as a pesticide using the oral acute toxicity test for mice. Results: In the present study, the effect of chelerythrine as the main ingredient in suspension concentrate formulations and its field effect on rice false smut (RFS) was investigated. The pesticide in the suspending agent was sprayed twice and had superior effects with regard to the prevention and control of RFS in the field. The control effect was 95.88% at an application rate of 192 mL/ha, with low residue, environmentally safe, and low resistance characteristics. An acute toxicity test following intragastric administration in mice showed that the LD50 of chelerythrine suspension was 1580 mg·kg−1, which was much lower than those of other low-toxicity commercial pesticides. Conclusion: Chelerythrine suspension was a low-toxicity agent and exhibited the characteristics of an environmentally friendly plant pesticide. The application of chelerythrine suspension could facilitate the achievement of the goal of pesticide reduction efficiency. [ABSTRACT FROM AUTHOR]

Crop production plays a critical role in global food security, with key commodities such as corn, wheat, soybean, and rice ranking among the most widely cultivated crops. These major crops are predominantly grown within extensive cropping systems. However, these systems are threatened by fungal diseases, which may cause substantial yield reductions. The most widely adopted strategy to manage fungal pathogens in extensively grown crops worldwide is chemical control. Nevertheless, this strategy has multiple drawbacks and potential hazards, including pathogen resistance, environmental contamination, and negative effects on human health and other organisms. As a logical result, over the last decades, conventional agricultural systems have been questioned and a transition toward more sustainable production methods has emerged. The new productive paradigm emphasizes the adoption of eco-friendly approaches to disease management, with biofungicides and biostimulants among the new tools gaining popularity. However, establishing a regulatory framework for these tools in different countries has proven challenging due to the lack of global harmonization. The primary objective of this review is to gather dispersed information on new tools and technologies (either available in the market or being studied) applicable to extensively grown crops generated by the latest scientific advances. Additionally, the review seeks to contribute to clarifying the categorization of these new tools (biostimulants, biofungicides, plant defense inducers, and technologies such as gene editing, RNAi, nanotechnology, and physical treatment) to enhance their understanding and to critically assess their potentials, challenges, and future perspectives. Furthermore, the review aims to identify tools successfully implemented in horticulture or other intensive production systems but not yet practically applied in extensively grown crops, to pave the way for future advances and potential adaptations of these tools to suit extensive agricultural practices. Finally, this review presents a practical disease management model that incorporates new tools to address a key disease in wheat. [ABSTRACT FROM AUTHOR]

Drawing on a harmonized longitudinal dataset covering more than 55,000 smallholder farms in six African countries, we analyze changes in crop productivity from 2008 to 2019. Because smallholder farmers represent a significant fraction of the world's poorest people, agricultural productivity in this context matters for poverty reduction and for the broader achievement of the UN Sustainable Development Goals. Our analysis measures productivity trends for nationally representative samples of smallholder crop farmers, using detailed data on agricultural inputs and outputs which we integrate with detailed data on local weather and environmental conditions. In spite of government commitments and international efforts to strengthen African agriculture, we find no evidence that smallholder crop productivity improved over this 12-y period. Our preferred statistical specification of total factor productivity (TFP) suggests an overall decline in productivity of -3.5% per year. Various other models we test also find declining productivity in the overall sample, and none of them finds productivity growth. However, the different countries in our sample experienced varying trends, with some instances of growth in some regions. The results suggest that major challenges remain for agricultural development in sub-Saharan Africa. They complement previous analyses that relied primarily on aggregate national statistics to measure agricultural productivity, rather than detailed microdata. [ABSTRACT FROM AUTHOR]

Soil fertility decline is a significant factor affecting crop production. In a specific area, fertilizer application for a crop depends on soil type and profitability. Moreover, optimizing chemical fertilizer utilization in crop production is crucial from both environmental and economic perspectives. However, there is limited information available on the optimum NPSB fertilizer rate for common bean production in the study area. Thus, the study aimed to establish area-specific NPSB fertilizer rate recommendations for optimal grain yield and profitability of common bean. The field experiment was conducted in two locations in the 2019 and 2020 cropping seasons. The treatments included 0, 25, 50, 75, 100, 125, 150, 175, and 200 kg·ha−1 NPSB fertilizer rates, and they were planted using a randomized complete block design with three replications. The combined location analysis of variance indicated that the application of NPSB fertilizer significantly influenced plant height, number of pods per plant, number of seeds per pod, hundred-seed weight, biomass yield, grain yield, and harvest index. The highest grain yields (2815 kg·ha−1 and 3433 kg·ha−1) were recorded with the application of a 125 kg·ha−1 NPSB blended fertilizer rate, while the lowest grain yields (1429 kg·ha−1 and 1500 kg·ha−1) were produced from the nonfertilizer applied plot in Deneba and Wara, respectively. The combined location mean showed that the maximum grain yield (3124 kg·ha−1), followed by 2710 kg·ha−1, was produced by the application of 125 and 100 kg·ha−1 NPSB fertilizer rates, respectively. The data indicate that raising the NPSB fertilizer rate from 0 to 125 kg·ha−1 would greatly boost grain yield in the common bean in both locations in a similar manner. The economic analysis revealed that applying 125 kg·ha−1 of NPSB fertilizer earned the highest net benefits (140453.2 ETB·ha−1) with the highest marginal rate of return (1745.26%). Therefore, for high yield and profitability of common bean, a rate of 125 kg·ha−1 NPSB fertilizer is suggested in the study area and similar agro-ecological zones. [ABSTRACT FROM AUTHOR]

In numerous developing nations, the pervasive practice of crop residue incineration is a principal contributor to atmospheric contamination in agricultural operations. This study examines the repercussions of such biomass combustion on air quality during the autumnal harvest season, utilizing data acquired from satellite-based remote sensing of fire events and air pollution measurements. Employing wind direction information alongside difference-in-difference and fixed-effects methodologies, this investigation rectifies estimation inaccuracies stemming from the non-random distribution of combustion occurrences. The empirical findings reveal that agricultural residue burning precipitates an elevation in average PM2.5 and PM10 concentrations by approximately 27 and 22 μg/m3 during the autumnal incineration period, respectively. Furthermore, air pollution attributed to residue burning in prominent grain-producing regions exceeds the national average by approximately 40%. By integrating economic paradigms into agri-environmental inquiries, this study offers novel insights and substantiation of the environmental expenditures engendered by crop residue burning, juxtaposed with extant meteorological and ecological research findings. [ABSTRACT FROM AUTHOR]

Fulvic acid (FA) is a complex substance with multiple functional groups produced by organic waste composition. It can promote plant growth and affect phosphorus (P) fertilizer. However, the mechanism of its action and the optimal application rate of FA have remained unclear. This study set different concentrations of FA to explore the effect on rice growth and P. These results indicated exogenous addition FA can significantly increase plant height, chlorophyll concentration and biomass, and the P content, P uptake and distribution in different rice plant parts. Moreover, FA treatments improved root morphogenesis and the expression of transcript-level P transporter genes (OsPHT1s). Different concentrations of FA treatments had different effects on rice, especially T1 (40 mg/L) treatment had the best. In conclusion, basic nutrients and the addition into FA at moderate doses can promote root growth and phosphorus utilization to improve rice growth. Therefore, FA can be used as an effective component of a new type biological phosphorus fertilizer designed for sustainable agricultural production. [ABSTRACT FROM AUTHOR]

The accurate measurement of agricultural productivity and its consequential effects on the welfare of farmers plays a pivotal role in economies heavily dependent on agriculture. This study delves into the repercussions of employing standard weights and measures on both productivity and welfare in the Ruvuma Region of Tanzania. Employing a cross-sectional design, primary data were collected from 557 households selected at random from six districts within Ruvuma region. Utilizing negative binomial and multiple regression models, the study scrutinizes the impact of standard weights and measures on maize productivity and farmer welfare. The findings elucidate a noteworthy correlation between the adoption of standard units and amplified maize productivity and cash income. Farmers utilizing standard measurements in maize transactions exhibited a 19.5% higher yield per acre and a 14.5% improvement in welfare compared to those adhering to traditional measuring methods. Influential factors such as sex, the quantity of maize produced, and land size significantly influenced the adoption of standard units. Recommending empowerment initiatives through government agencies and pertinent organizations, this study advocates for targeted training and sensitization to redirect small-holder farmers from traditional measuring practices. Such endeavours align with Sustainable Development Goal 2, contributing to the overarching aim of achieving zero hunger by 2030. Highlights: In traditional units, inconsistencies demand a standardized approach with weights and measures for fairness. Adopting standard weights significantly increases maize productivity, yielding a noteworthy per-acre boost compared to traditional methods. Farm households using standard units secure higher incomes, emphasizing the pivotal role of standard weights and measures in maximizing profits. Gender influences productivity, but the study highlights the overwhelming importance of standard units in shaping agricultural productivity. The study emphasizes the transformative impact of education and practical training for standard unit adoption. [ABSTRACT FROM AUTHOR]

Parasitic weeds in the genera Orobanche, Phelipanche (broomrapes) and Striga (witchweeds) have a devastating impact on food security across much of Africa, Asia and the Mediterranean Basin. Yet, how climatic factors might affect the range expansion of these weeds in the context of global environmental change remains unexplored. We examined satellite‐based environmental variables such as surface temperature, root zone soil moisture, and elevation, in relation to parasitic weed distribution and environmental conditions over time, in combination with observational data from the Global Biodiversity Information Facility (GBIF). Our analysis reveals contrasting environmental and altitude preferences in the genera Striga and Orobanche. Asiatic witchweed (Striga asiatica), which infests corn, rice, sorghum, and sugar cane crops, appears to be expanding its range in high elevation habitats. It also shows a significant association with heat‐moisture coupling events, the frequency of which is rising in such environments. These results point to geographical shifts in distribution and abundance in parasitic weeds due to climate change. [ABSTRACT FROM AUTHOR]

The article provides information about fungal diseases that affect pear plants and methods of combating the disease. It has been established that fungal diseases occur in all regions of Azerbaijan. Information is provided on fungal diseases that affect pear plants and methods of combating the disease. It has been established that fungal diseases occur in all regions of Azerbaijan. Effective use of climatic resources in agricultural production is one of the important tasks of solving the food problem. To implement it, it is necessary to study in depth the characteristics of the territories and identify potential opportunities that ensure more efficient and rapid development of agriculture. Depending on environmental conditions, the incubation period of the pathogen lasts 3-8 days. All life processes of plants, including the object of study, the pear plant, their variety, quality and quantity of products, are associated with the amount of solar radiation and lighting conditions. A lack of potassium in the soil also increases the development of the disease [ABSTRACT FROM AUTHOR]

Agricultural production across the African continent is subjected to various effects of climate variability. One of the main staple foods in Sub-Saharan Africa is maize. However, limited scientific research has recently focused on understanding the possible effects of hydro-climatic variability on maize production. The aim of the present work was to contribute to policy and climate adaptation, thus reducing the vulnerability of maize production to climate change over Equatorial Africa. This study firstly examined long-term trends of precipitation (PRE), soil moisture (SM), actual evapotranspiration (E), and potential evapotranspiration (Ep), as well as surface air temperatures, including the minimum (TMIN) and maximum (TMAX). Secondly, the relationship between maize production and these climate variables was quantified for 18 Equatorial African countries (EQCs) over 1980−2021. To assess the linear trends, Mann–Kendall and Sen's slope tests were used to quantify the magnitude of the hydro-climatic variable trends at the 5% significance level, and Pearson's correlation coefficient was used to evaluate the relation of these climate parameters with the maize production. The annual mean PRE declined at 0.03 mm day−110a−1. Other climate variables increased at different rates: SM at 0.02 mmday−110a−1, E at 0.03 mm day−110a−1, Ep at 0.02 mm day−1 10a−1, TMIN and TMAX at 0.01 °C day−110a−1. A regional analysis revealed heterogeneous significant wet–dry and warm–cool trends over the EQCs. While, spatially, dry and warm climates were observed in the central to eastern areas, wet and warm conditions dominated the western regions. Generally, the correlations of maize production with the E, Ep, TMAX, and TMIN were strong (r > 0.7) and positive, while moderate (r > 0.45) correlations of maize production with PRE and SM were obvious. These country-wide analyses highlight the significance of climate change policies and offer a scientific basis for designing tailored adaptation strategies in rainfed agricultural regions. [ABSTRACT FROM AUTHOR]

China has recently become an agent of intensified agricultural production in Southeast Asia by constructing large‐scale irrigation systems. Funded with Chinese development finance, such infrastructure projects have been interpreted as a 'spatial fix' for capital accumulation in China, which helps explain the shifting balance of power within the region's political economy. However, we argue that explaining the local outcomes of these projects requires mapping out Chinese development finance in relation to the multi‐scalar network of actors, circuits of capital, and struggles over water that produce irrigated landscapes. We draw on our joint research about the Chinese‐funded and built Kanghot Irrigation Development Project in Cambodia. We explain how the construction of Kanghot was shaped by the historical and political relations between China and Cambodia. Since completion in 2016, Kanghot irrigation has transformed agricultural production by enrolling farmers into a network of volatile commodity markets and harmful pest ecologies. There have also been ongoing community struggles over Kanghot's water due to the project's design and institutional management. By broadening the idea of infrastructure as spatial fix to include these material and social processes of agrarian landscape production, this paper advances a political ecology of Chinese development finance in Southeast Asia. [ABSTRACT FROM AUTHOR]

A high global population generates high food demand, and agricultural crop yield plays an important role in meeting this food demand. Farmers rely heavily on fertilizers to increase crop output. However, the overutilization of fertilizers has drastically reduced soil quality, resulting in decreased agricultural productivity. It also has a detrimental impact on the environment through soil runoff and thus accumulates in water bodies, etc. Controlled-release nano-fertilizer (CRNF) systems can be more efficient in overcoming this problem. CRNF has potential value in providing a beneficial advantage to agricultural productivity by providing a controlled release of nutrients and high nutrient utilization efficiency. Therefore, considering the future scope of research in CRNF, this review summarizes the different CRNF systems utilized for the efficient delivery of nutrients. It also highlights the different release strategies of CRNFs, release mechanism models, mathematical models, kinetic mechanisms, nanomaterials used in CRNF uptake and translocation of fertilizer in plants, and areas related to future research have also been discussed in this review. [ABSTRACT FROM AUTHOR]

Context: Seasonal variations between the rain and dry seasons are the main obstacle to agricultural productivity in tropical regions, making it essential to conserve surplus for periods of scarcity. One of the limiting factors in ensiling grasses is moisture, requiring the use of additives or withering. Using a mixture of grasses and legumes can be an alternative to balance the advantages and disadvantages of both in the ensiling process, and mata-pasto hay (MPH) can be an option. Aims: This study evaluated different forms of Tanzania grass (Megathyrsus maximum) and MPH silages, as well as silages with increasing levels of MPH. Methods: Silages of Tanzania grass and MPH in their natural form, as well as silages with increasing doses of MPH, were evaluated for nutritional value, degradability in situ. The microbiology was also evaluated. Key results: Among the types of silages, natural MPH and wilted MPH were superior to natural Tanzania grass silage. The use of MPH in Tanzania grass silages improves fermentation processes, the population of beneficial microorganisms, resulting in better nutritional value of these silages. Conclusions: Natural and wilted MPH hay silages are qualitatively better compared to natural Tanzania grass silage. Increasing doses of MPH improve the quality of the silage. A recommended dose is 30% of MPH hay. Implications: Adding MPH to silages is a way to reduce the negative impacts of this weed on pastures. However, further studies with the use of complementary additives are needed. The seasonality between the rainy and dry seasons is a challenge for tropical agriculture. This study evaluated different forms of ensiling Tanzania grass (Megathyrsus maximum) and forest pasture hay (FPH) aiming to improve the conservation and nutritional value of silages. Results showed that the use of 30% FPH improved the fermentative processes and the nutritional value of the silages. This strategy can reduce the negative impacts of weeds on pastures, although further research is needed for complementary additives. [ABSTRACT FROM AUTHOR]

Human-wildlife interactions can affect human wellbeing and wildlife population persistence. This paper addresses the perceived impacts of wildlife on agropastoral food production in the Tarangire ecosystem of northern Tanzania. It is based on sixteen months of collaborative ethnographic fieldwork with agropastoral Maasai communities (2019–2020; 2022; 2023), 240 semi-structured interviews, and a household survey (n = 1076). People felt that caterpillars, elephants, and zebras had the most significant effects on crop production, while hyenas were responsible for the bulk of livestock depredation by carnivores. These social costs of wildlife merit further attention from conservation policy makers. [ABSTRACT FROM AUTHOR]

The increasing global warming trend has resulted in the mass loss of most glaciers. The Urumqi Vally, located in the dry and cold zone of China, and its widely dispersed glaciers are significant to the regional ecological environment, oasis economic development, and industrial and agricultural production. This is representative of glaciers in Middle Asia and represents one of the world's longest observed time series of glaciers, beginning in 1959. The Urumqi Headwater Glacier No. 1 (UHG-1) has a dominant presence in the World Glacier Monitoring Service (WGMS). This paper supplies a comprehensive analysis of past studies and future modeling of glacier changes in the Urumqi Valley. It has received insufficient attention in the past, and the mass balance of UHG-1 was used to verify that the geodetic results and the OGGM model simulation results are convincing. The main conclusions are: The area of 48.68 ± 4.59 km2 delineated by 150 glaciers in 1958 decreased to 21.61 ± 0.27 km2 delineated by 108 glaciers in 2022, with a reduction of 0.47 ± 0.04 km2·a−1 (0.96% a−1 in 1958–2022). The glacier mass balance by geodesy is −0.69 ± 0.11 m w.e.a−1 in 2000–2022, which is just deviating from the measured result (−0.66 m w.e.a−1), but the geodetic result in this paper can be enough to reflect the glacier changes (−0.65 ± 0.11 m w.e.a−1) of the URB in 2000–2022. The future loss rate of area and volume will undergo a rapid and then decelerating process, with the fastest and slowest inflection points occurring around 2035 and 2070, respectively. High temperatures and large precipitation in summer accelerate glacier loss, and the corresponding lag period of glacier change to climate is about 2–3 years. [ABSTRACT FROM AUTHOR]

Soil quality monitoring schemes are a useful tool for assessing the potential of soils to perform desired services such as agricultural productivity. When researchers or other stakeholders wish to compare results between different schemes or studies, failure to consider differences in soil sample storage conditions presents a significant potential for error. Here, we compared levels of nitrogen and potassium, as well as pH, in agricultural soil samples stored under three different conditions (refrigerated, frozen, and oven‐dried). All tests were performed after 7 and 24 weeks of storage. Nitrate decreased significantly in dried (p < 0.001) samples. When refrigerated, nitrate first increased (p < 0.01) and then decreased (p < 0.001). Nitrate levels where unchanged at Week 7 in the freezer but decreased significantly at Week 24 (p < 0.001). Nitrite and ammonium increased after drying (p < 0.001) and when frozen (p < 0.001 and p < 0.05) but remained stable when refrigerated. There was no significant difference in potassium levels between the fresh control and Week 7 in the freezer, but potassium had increased at Week 24 (p < 0.05). Potassium concentration increased in refrigerated samples (p < 0.001) and fluctuated up and down in dried samples (p < 0.01). pH measurements fluctuated significantly in refrigerated and frozen samples (p < 0.001 and p < 0.01, respectively) but were unchanged in dried samples. We suggest that soil monitoring schemes standardize their sample storage, and we encourage researchers to clearly report soil sample storage conditions in publications, to improve transparency and reproducibility. Core Ideas: Storage of soil samples is inevitable for large‐scale soil monitoring or research projects.Different types of storage conditions affect measurements of soil physiochemical properties.We show that type of storage and duration impacts measured levels of nutrients and pH in soil samples.We recommend that researchers use consistent sample storage conditions for making spatial or temporal comparisons. [ABSTRACT FROM AUTHOR]

The production of bioproduct feedstocks such as switchgrass (Panicum virgatum L.) and willow (Salix spp.) on degraded lands provides an opportunity to grow dedicated bioenergy crops with the potential to capture and store carbon in the soil while reducing competition with land for food production. However, how the production of these crops alters plant–soil–microbe interactions that govern soil C accumulation in highly degraded soil is underexplored. The objectives of this study were to examine select biological and chemical properties related to stable soil organic matter (SOM) production from the growth of switchgrass and willow on marginal soil over two growing seasons and whether biochar amendment can positively affect these parameters. To address our objectives, paired former surface mined lands and non‐mine impacted marginal agriculture sites were selected across West Virginia, USA, and biochar and unamended control treatments were imposed. Through the first two growing seasons, microbial activity and demand for carbon (C) increased and was accompanied by a shift in extracellular enzyme investment for decomposition‐associated enzymes. Mineral‐associated organic matter C increased over the two growing seasons, and this increase was greater in the mine sites compared to the agriculture sites. Compared to each site's previous land use, C losses were observed under bioproduct systems in the agriculture, but not the mine sites. Biochar amendments did not impact microbial activity but did increase the C:N of SOM. Overall, our results suggest that the early growth of switchgrass and willow can result in C accumulation in marginal and highly degraded lands. Core Ideas: Switchgrass (Panicum virgatum L.) and willow (Salix spp.) can be produced for bioproducts on highly degraded soil.Microbial demand for carbon (C) increased, while C inputs from the crops were variable over the first two growing seasons.Short‐term C losses were observed as compared to the previous land usein the agriculture, but not the reclaimed mine sites.There is potential for carbon accumulation in Appalachian reclaimed mine and marginal agriculture soil. [ABSTRACT FROM AUTHOR]

Wind erosion and variable weather challenge crop production in the northern Great Plains. Management that increases residue cover might mitigate wind erosion during the cash crop growing season. We evaluated horizontal sediment flux (modified Wilson and Cooke samplers) and cash crop yield across a single rotation of corn (Zea mays L.)–soybean (Glycine max (L.) Merr.)–spring wheat (Triticum aestivum L.) in paired fields with contrasting management. One field included cover crops and retained spring wheat straw (aspirational), while the other excluded both conservation practices over the 3‐year rotation (business‐as‐usual). Horizontal sediment flux rapidly decreased with days after cash crop planting (increasing crop canopy), regardless of management treatment. In 2 years (2020 corn and 2022 spring wheat), there was greater horizontal sediment flux, lower cash crop grain yield, and lower cash crop aboveground biomass in the aspirational versus business‐as‐usual field. In 2021 soybean, there was lower horizontal sediment flux, greater cash crop yield, and greater cash crop aboveground biomass in the aspirational versus business‐as‐usual field. Higher yield and lower horizontal sediment flux responses corresponded with the management treatment that produced the higher cash crop aboveground biomass. Additionally, our short‐term study indicated that in drought years, cover crops worsened the adverse effects of abnormally low precipitation on yield and biomass of 2020 corn but not 2021 soybean. Core Ideas: Sediment mass flux and grain yield were measured in response to cover cropping and wheat straw management.Horizontal sediment flux rapidly decreased with canopy development, regardless of management treatment.During drought, cover crops decreased yield and biomass of corn but not soybean.Conservation practices treatment had lower horizontal sediment flux in 2021 soybean, but not in 2020 or 2022. [ABSTRACT FROM AUTHOR]

Low temperature is a major environmental factor limiting plant growth and crop production. Epigenetic regulation of gene expression is important for plant adaptation to environmental changes, whereas the epigenetic mechanism of cold signaling in rice (Oryza sativa) remains largely elusive. Here, we report that the histone deacetylase (HDAC) OsHDA716 represses rice cold tolerance by interacting with and deacetylating the transcription factor OsbZIP46. The loss-of-function mutants of OsHDA716 exhibit enhanced chilling tolerance, compared with the wild-type plants, while OsHDA716 overexpression plants show chilling hypersensitivity. On the contrary, OsbZIP46 confers chilling tolerance in rice through transcriptionally activating OsDREB1A and COLD1 to regulate cold-induced calcium influx and cytoplasmic calcium elevation. Mechanistic investigation showed that OsHDA716-mediated OsbZIP46 deacetylation in the DNA-binding domain reduces the DNA-binding ability and transcriptional activity as well as decreasing OsbZIP46 protein stability. Genetic evidence indicated that OsbZIP46 deacetylation mediated by OsHDA716 reduces rice chilling tolerance. Collectively, these findings reveal that the functional interplay between the chromatin regulator and transcription factor fine-tunes the cold response in plant and uncover a mechanism by which HDACs repress gene transcription through deacetylating nonhistone proteins and regulating their biochemical functions. The histone deacetylase OsHDA716 represses rice chilling tolerance by interacting with and deacetylating the transcription factor OsbZIP46, thus reducing its activity and protein stability. [ABSTRACT FROM AUTHOR]

SUMMARY: Members of the glycosyltransferase (GT)43 and GT47 families have been associated with heteroxylan synthesis in both dicots and monocots and are thought to assemble into central cores of putative xylan synthase complexes (XSCs). Currently, it is unknown whether protein–protein interactions within these central cores are specific, how many such complexes exist, and whether these complexes are functionally redundant. Here, we used gene association network and co‐expression approaches in rice to identify four OsGT43s and four OsGT47s that assemble into different GT43/GT47 complexes. Using two independent methods, we showed that (i) these GTs assemble into at least six unique complexes through specific protein–protein interactions and (ii) the proteins interact directly in vitro. Confocal microscopy showed that, when alone, all OsGT43s were retained in the endoplasmic reticulum (ER), while all OsGT47s were localized in the Golgi. co‐expression of OsGT43s and OsGT47s displayed complexes that form in the ER but accumulate in Golgi. ER‐to‐Golgi trafficking appears to require interactions between OsGT43s and OsGT47s. Comparison of the central cores of the three putative rice OsXSCs to wheat, asparagus, and Arabidopsis XSCs, showed great variation in GT43/GT47 combinations, which makes the identification of orthologous central cores between grasses and dicots challenging. However, the emerging picture is that all central cores from these species seem to have at least one member of the IRX10/IRX10‐L clade in the GT47 family in common, suggesting greater functional importance for this family in xylan synthesis. Our findings provide a new framework for future investigation of heteroxylan biosynthesis and function in monocots. Significance Statement: Our findings support the presence of at least three unique rice OsXSCs, whereby each OsXSC central core is made up of interactions between specific OsGT43 and OsGT47 family members. To effectively improve crops and biofuel production, manipulation of heteroxylan synthesis during plant development must consider the specificity of protein–protein interactions between GT43s and GT47s. [ABSTRACT FROM AUTHOR]

Freshwater mussels provide invaluable ecological services but are threatened by habitat alteration, poor water quality, invasive species, climate change, and contaminants, including contaminants of emerging concern (CECs). Contaminants of emerging concerns are well documented in aquatic environments, including the Great Lakes Basin, but limited information is available on how environmentally relevant mixtures affect freshwater mussel biology throughout their varied life stages. Our main goal was to assess mussels' reproductive output in response to exposure to agricultural and urban CEC mixtures during glochidial development through juvenile transformation and excystment focusing on how exposure duration and treatment affect: (1) the number of glochidia prematurely released by brooding females, (2) glochidial transformation through host‐fish excystment, and (3) the number of fully metamorphosed juveniles able to continue the lifecycle. Mussels and host fish were exposed to either a control water (CW), control ethanol (CE), agriculture CEC mixture (AM), or urban CEC mixture (UM) for 40 and 100 days. We found no effect from treatment or exposure duration on the number of glochidia prematurely released. Fewer partially and fully metamorphosed AM juveniles were observed during the 100‐day exposure, compared with the 40‐day. During the 40‐day exposure, CW produced more fully metamorphosed individuals compared with CE and UM, but during the 100‐day exposure AM produced more fully metamorphosed individuals compared with the CW. There was reduction in fully metamorphosed juveniles compared with partially metamorphosed for CE and UM during the 40‐day exposure, as well as in the CW during the 100‐day exposure. These results will be important for understanding how mussel populations are affected by CEC exposure. The experiments also yielded many insights for laboratory toxicology exposure studies. Environ Toxicol Chem 2024;43:1112–1125. © 2024 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. [ABSTRACT FROM AUTHOR]

• The use of reclaimed water in agriculture can be beneficial to KSA with careful planning and management. • To reduce chemical dangers including heavy metals, agricultural irrigation should be subject to stricter quality regulations. • The application of 30 % reclaimed water (T2) enhanced the germination percentage, relative seed germination, and seedling vigor index of V. radiata. • Wastewater irrigation lets us "recycle" the nutrients in it and resolves the problems with high water consumption in water-stressed places. • In KSA wastewater reuse helps in achieving the sustainable development goals of VISION 2030. An efficient method of managing agricultural resources is to reuse wastewater for crop irrigation and fertilization. Irrigation using reclaimed water after treatment can have both beneficial and bad environmental effects. The national water strategy of Saudi Arabia considers reclaimed wastewater as an essential component of Saudi Arabia's water resource. It targets to decrease the load of desalination from the Red Sea and use it as a major source of agriculture and industrial use. In Vigna radiata , an experiment is carried out to determine the level of dilution for agricultural application in a seed germination experiment in response to contaminants. The physicochemical properties such as pH, ammonia, turbidity, and chloride values of reclaimed water were higher as compared to the standard guidelines of KSA for using irrigation water. Further, all the studied parameter concentrations decreased with the dilution of tap water. In the seed germination experiment,% germination, relative seed germination, seedling vigor index, etc. were calculated as compared to the control. The results infer that the application of 30 % reclaimed water (T2) enhanced the germination percentage, relative seed germination, and seedling vigor index of V. radiata. The growth of root, shoot, relative shoot growth, fresh weight, and dry weight of seedlings showed that T5 and T6 treatments are not suitable for Vigna cultivation as compared to the control. However, the results suggested that dilution of reclaimed water decreases the concentrations of potential contaminants of emerging concern, heavy metals, pesticides, etc., and makes the water suitable for irrigation. [ABSTRACT FROM AUTHOR]

Global environmental issues shift crop production to the new conditions. This increases all kinds of biotic and abiotic stresses, beside others also plant diseases. Such changes are also in Kazakhstan where potato production is dramatically increasing, and crop is growing in regions with continental climate. Problems with potato virus type Y (PVY) need cultivars with better resistance. Introduction of silencing small interfering RNA (siRNA) is new technology. In vitro experiment was done on potato (Solanium tuberosum L.) local cultivar Izolda. Results show significant effect of siRNA in decreasing mortality and occurrence of PVY symptoms and allow expansion of potato cultivation to continental climate conditions, where are faced with new virus problems. [ABSTRACT FROM AUTHOR]

Agricultural and industrial production activities generate GDP and greatly improve the quality of life of residents. At the same time, these activities also lead to increased energy consumption and emit large amounts of pollutants, which affect public health. However, there has been little past research focused on all the above associations. This study innovatively proposes a parallel two-stage EBM-DEA model to re-measure health production efficiency. The objective is to conduct a joint analysis of the economic development, pollutant emissions and human health of agriculture and industry in 30 provinces in China from 2016 to 2020, and calculate the health production efficiency, stage efficiency (agricultural production efficiency, industrial production efficiency and health efficiency) and environmental pollution efficiency. The research shows that the health production efficiency in other provinces has not reached the efficiency frontier except in Beijing, Fujian, Zhejiang, and Ningxia. In addition, there is room for improvement to varying degrees. In terms of geographical disparity, agricultural production efficiency and health efficiency are distributed in the trend of east > west > central, whereas industrial production efficiency is distributed in a ladder shape from east > central > west. Health efficiency contributes to overall efficiency, whereas agricultural and industrial production efficiencies drag down overall efficiency. The discharge efficiency of various pollutants shows that China's environmental control policies have achieved good results, but environmental problems in some provinces are still serious. Moreover, areas with higher pollutant discharge efficiency values have higher tuberculosis incidence efficiency values. Furthermore, provinces should pay attention to improving the efficiency of medical and health fund utilization. [ABSTRACT FROM AUTHOR]

Environmental regulations in China's hog industry aim to adjust industrial layout and reduce pollution. However, these regulations have had an unexpected impact, resulting in varying degrees of hog production decline across regions. This study, is exploring how environmental regulations affect lost hog production in multiple ways through increased supervision and penalties, differentiation of enforcement agents, and indiscriminate closure of farms with non-livestock production areas. Subsequently, employing the Difference-in-Difference approach, we empirically test the effects of these regulations on the hog industry using a unique panel of national county-level hog production data. Our results demonstrate an unexpected decline in hog production, primarily observed in the two key production areas. This suggests that China's hog industry has not experienced a dominant industrial layout adjustment in response to environmental regulation. These findings underscore the need for more precise regulatory standards and stronger enforcement bodies in China's future reforms, with an emphasis on central rather than local-based regulation. This approach is critical for maintaining stable production while reducing pollution. [ABSTRACT FROM AUTHOR]

This article is furnished with a comprehensive review of nature and extent of rural livelihood diversification with special focus on North-Eastern region of India. This study reveals that the tribal communities of this region adopt livelihood diversification as a strategy of coping with risk due to persistent low agricultural productivity and population pressure. Despite this fact, the extent of diversification is low. Agriculture and land still occupies main source of income. It is evident from this article that this region has great potentialities of diversification towards multiple income sources. But difficult terrain and geographical isolation of this region make these resources yet to be properly utilised. The aim of this review article is to point out some issues related to livelihood diversification of North-Eastern region for further research and also try to attract the eyes of policy makers towards the potentialities of livelihood options available in this region. [ABSTRACT FROM AUTHOR]

Hybrid vegetable varieties have become essential for global agricultural production, offering key advantages for yield, quality and disease resistance. The production of hybrid seeds is however limited by pollination challenges, with these systems commonly associated with unattractive and low‐quality floral resources, isolated growing environments and frequent insecticide applications.Here, we utilise commercial carrot seed crops to investigate the impact of hybrid pollination on the behaviour of the honey bee (Apis mellifera).Six full‐strength bee colonies were equipped with solar powered radio frequency identification systems and over 900 tagged bees per season. These colonies were deployed to commercial hybrid seed crops over two consecutive seasons. The colonies were allocated to either an on‐crop or off‐crop group. Individual bees were autonomously monitored for the pollination period to assess key parameters such as survival, age at foraging and the number and duration of orientation and foraging trips.Hybrid carrots were found to have a significant impact on bee foraging behaviour. Bees situated on the carrot crop undertook less frequent yet longer foraging trips, resulting in less total time outside of the colony compared to off‐crop bees. However, bees placed in carrot fields survived to an older age, orientated successfully, became foragers later and collected more pollen by weight, despite only 2% originating from carrot. We hope that the improved behavioural understanding can be utilised to enhance both pollinator health and hybrid seed production globally. [ABSTRACT FROM AUTHOR]

During industrial licorice production, considerable amounts of licorice root residues (LRR) are produced. The use of these residues as an agricultural production input could be beneficial to sustainable economic growth and the environment. Therefore, we evaluated the application of LRR to some growth media at (v/v) [100% soil (S), 100% LRR (L), 50% soil + 50% LRR (SL), 50% perlite + 50% LRR (PL), 50% cocopeat + 50% LRR (CL), and 25% soil + 25% perlite + 25% cocopeat + 25% LRR (SPCL)] plus humic acid (HA) (0, 5, 10, or 15 gl−1) during bell pepper production. Results showed that LRR application plus HA fertigation significantly improved the vegetative and reproductive growth and mineral content of pepper. The highest fresh weight (shoot and root), plant height, root length, leaf number, and chlorophyll content were observed for plants treated with SPCL + 15 gl−1 HA. The highest number of flowers (18.08), fruits per plant, fruit length and diameter, fruit fresh weight, and yield were associated with the peppers grown under SPCL. Deformed fruits significantly increased in the S treatment whereas no deformed fruits were observed under the SPCL treatment. The highest leaf K, Ca, Fe, and Zn contents were observed in the medium culture containing 25% LRR (SPCL) + 15 gl−1 HA. The findings revealed that the use of SPCL + 15 gl−1 HA fertigation could provide the best conditions for fruit production by bell pepper. [ABSTRACT FROM AUTHOR]

Crop residues are the main organic source of nutrients in agricultural soils. The active pool of soil organic carbon plays a dominant role in crop production and soil health. Rice and wheat residues were used in 90 days incubation study under controlled conditions (25°C temperature and maximum water-holding capacity) to estimate the release of carbon dioxide and water-soluble carbon in an Indo-Gangetic alluvial soil (Inceptisols) of Varanasi. The experiment was laid out in a factorial completely randomized design with three replications. The rice and wheat residues showed a wide variation in the content of their total carbon (TC), total nitrogen (TN), total phosphorus (TP) and total sulfur (TS). Out of the two crop residues added to the soil, rice residue had higher carbon dioxide-carbon (CO2-C) release than that of the wheat residue over control. Results revealed that conjunctive application of rice residue along with urea (20 kg N ha−1) and Trichoderma viride (10 kg ha−1) had resulted in a higher content of CO2-C (7.44 mg per 100 g per day) at 90 days of the incubation period. The amount of CO2 (mg) released, increases with a combination of crop residues with urea (20 kg N ha−1) and Trichoderma viride (10 kg ha−1) up to 90 days over control. The highest release of CO2 (204.70 mg) was recorded with rice residue treated with urea (20 kg N ha−1) and Trichoderma viride (10 kg ha−1). The study also revealed that the release of water-soluble carbon decreases with an increase in the incubation period irrespective of treatment. At 90 days of the incubation period, the control without any crop residue addition has the highest water-soluble carbon content (459.75 µg/g). The present study indicates that the incorporation of rice and wheat residues along with urea and supplemental decomposers (Trichoderma viride) has the potential to release adequately active organic carbon pool parameters such as CO2 and water-soluble carbon in an Inceptisols of Varanasi region of India. [ABSTRACT FROM AUTHOR]

Economic development can be influenced by various policies such as improving infrastructure, changing the legal system, or increasing educational attainment. However, to the extent that culture influences economic outcomes, that is very difficult for policy to alter. To examine culture's role, we assess religion's influence on historical regional economic development using 19th-century Prussian data. We find that compared to predominantly Catholic Prussian regions, Protestantism facilitated 19th-century industrialization and agricultural productivity growth. On the other hand, there was not a positive and significant impact of Protestantism on early 19th-century regional population growth, though there is a negative and significant effect in the latter 19th century. This result is robust to using IV regression. Protestantism's positive impacts on the growth of industrialization and agricultural growth is not explained by differing education levels or by differing birthrates across regions, ruling out other indirect effects of Protestantism, suggesting other cultural roles of religion. [ABSTRACT FROM AUTHOR]

Replacement of water-intensive winter rice with strawberry (Fragaria × ananassa Duch.) may restrict groundwater extraction and improve water productivity and sustainability of agricultural production in the arsenic-contaminated Bengal basin. The potential of strawberry cultivation in terms of yield obtained and water use efficiency need to be evaluated under predominant soil types with mulch applications. Water-driven model AquaCrop was used to predict the canopy cover, soil water storage and above-ground biomass of strawberry in an arsenic-contaminated area in the Bengal basin. After successful calibration and validation over three seasons, AquaCrop was used over a range of management scenarios (nine drip-irrigation × three soil types × four mulch materials) to identify the best irrigation options for a drip-irrigated strawberry crop. The most appropriate irrigation of 176 mm for clay loam soil in lowland and 189 mm for sandy clay loam in medium land rice areas and the use of organic mulch from locally available jute agrotextile improved 1.4 times higher yield and 1.7 times higher water productivity than that of without mulch. Strawberry can be introduced as an alternative crop replacing rice in non-traditional upland and medium land areas of the arsenic-contaminated Bengal basin with 88% lower groundwater extraction load and better economic return to farmers. [ABSTRACT FROM AUTHOR]

Growing crops in more diverse crop systems (i.e., intercropping) is one way to produce food more sustainably. Even though intercropping, compared to average monocultures, is generally more productive, the full yield potential of intercropping might not yet have been achieved as modern crop cultivars are bred to be grown in monoculture. Breeding plants for more familiarity in mixtures, i.e., plants that are adapted to more diverse communities (i.e., adaptation) or even to coexist with each other (i.e., coadaptation) might have the potential to sustainably enhance productivity. In this study, the productivity benefits of familiarity through evolutionary adaptation and coevolutionary coadaptation were disentangled in a crop system through an extensive common garden experiment. Furthermore, evolutionary and coevolutionary effects on species-level and community-level productivity were linked to corresponding changes in functional traits. We found evidence for higher productivity and trait convergence with increasing familiarity with the plant communities. Furthermore, our results provide evidence for the coevolution of plants in mixtures leading to higher productivity of coadapted species. However, with the functional traits measured in our study, we could not fully explain the productivity benefits found upon coevolution. Our study investigated coevolution among randomly interacting plants and was able to demonstrate that coadaptation through coevolution of coexisting species in mixtures occurs and promotes ecosystem functioning (i.e., higher productivity). This result is particularly relevant for the diversification of agricultural and forest ecosystems, demonstrating the added value of artificially selecting plants for the communities they are familiar with. [ABSTRACT FROM AUTHOR]

The quest to eradicate poverty, central to the United Nations Sustainable Development Goals (SDGs), poses a significant global challenge. Advancement in sustainable rural development is critical to this effort, requiring the seamless integration of environmental, economic, and governmental elements. Previous research often omits the complex interactions among these factors. Addressing this gap, this study evaluates sustainable rural development in China by examining the interconnection between agricultural production and government-led poverty reduction, with annual rainfall considered an influential factor of climate change impacts on these sectors and overall sustainability. Utilizing a Meta-frontier entropy network dynamic Directional Distance Function (DDF) within an exogenous Data Envelopment Analysis (DEA) model, we categorize China's 27 provinces into southern and northern regions according to the Qinling-Huaihe line for a comparative study of environmental, economic, and governmental efficiency. This innovative approach overcomes the limitations of previous static analyses. The findings reveal: (1) Rainfall, as an exogenous variable, significantly affects agricultural production efficiency. (2) The overall efficiency in both southern and northern regions increases when accounting for rainfall. (3) Government effectiveness in poverty reduction is comparatively lower in the northern region than in the southern region when rainfall is considered. These insights underscore the importance of including climatic variables in sustainable development policies and emphasize the need for region-specific strategies to bolster resilience against climatic challenges. [ABSTRACT FROM AUTHOR]

The cultivation of grapes encounters various challenges, such as the presence of pests and diseases, which have the potential to considerably diminish agricultural productivity. Plant diseases pose a significant impediment, resulting in diminished agricultural productivity and economic setbacks, thereby affecting the quality of crop yields. Hence, the precise and timely identification of plant diseases holds significant importance. This study employs a Convolutional neural network (CNN) with and without data augmentation, in addition to a DCNN Classifier model based on VGG16, to classify grape leaf diseases. A publicly available dataset is utilized for the purpose of investigating diseases affecting grape leaves. The DCNN Classifier Model successfully utilizes the strengths of the VGG16 model and modifies it by incorporating supplementary layers to enhance its performance and ability to generalize. Systematic evaluation of metrics, such as accuracy and F1-score, is performed. With training and test accuracy rates of 99.18 and 99.06%, respectively, the DCNN Classifier model does a better job than the CNN models used in this investigation. The findings demonstrate that the DCNN Classifier model, utilizing the VGG16 architecture and incorporating three supplementary CNN layers, exhibits superior performance. Also, the fact that the DCNN Classifier model works well as a decision support system for farmers is shown by the fact that it can quickly and accurately identify grape diseases, making it easier to take steps to stop them. The results of this study provide support for the reliability of the DCNN classifier model and its potential utility in the field of agriculture. [ABSTRACT FROM AUTHOR]

Global climate change, with warming as its main feature, has altered the spatial-temporal evolution of factors such as precipitation and temperature that can cause meteorological disasters. The complex and changeable climate has led to frequent natural disasters, while the frequency and intensity of extreme climate events have also significantly increased, posing an enormous threat to societal production and human life. As the most important geoecological transitional zone of mainland China, the stability of agricultural production in China's north–south transitional zone is crucial for ensuring food security under climate change. With the use of daily precipitation and potential evapotranspiration data from 1961 to 2018, this study focused on analysing disturbances such as extreme precipitation and drought disasters at different time scales during the winter wheat and summer maize growing seasons in the north–south transitional zone of China from an agricultural production perspective and attempted to answer the following questions: first, from an agricultural production perspective, what are the temporal and spatial distribution patterns of extreme precipitation and arid climate events in the north–south transitional zone? Second, which areas are at high risk of being disturbed by different types of meteorological disasters and require increased attention? The results indicated that (1) in terms of the overall temporal variation, the degree of extreme precipitation and drought stress faced by agricultural production in the region is decreasing. However, the temporal variation at each station in the north–south transitional zone was not completely consistent with the overall trend, and both increasing and decreasing trends were observed. The sites exhibiting an increase overlapped with typical regions of the north–south transitional zone to varying degrees, indicating that the typical regions represented not only theoretical potential risk areas under climate change but also suffered from meteorological disaster disturbances. (2) The precipitation distribution during the winter wheat growth period in the south–north transitional zone was uneven and varied significantly. High values of extreme precipitation indices during the winter wheat growth period were mainly concentrated in the southern part of the eastern section of the north‒south transitional zone. The precipitation distribution during the summer maize growth period significantly differed, with the highest amount of heavy rain and largest number of rainstorm days concentrated in the southeastern part of the north‒south transitional zone. The spatial distribution of the drought frequency in the north–south transitional zone, as indicated by the monthly standardized precipitation evapotranspiration index (SPEI1), showed that the areas with high total drought frequencies were mainly concentrated in northeast Jiangsu, southeast Henan, and north Anhui, which primarily experienced light drought. The central part of Jiangsu Province exhibited a high frequency of moderate drought, while southern Jiangsu Province and southwestern Shaanxi Province were prone to severe drought. Additionally, southeastern Hebei and eastern Henan were identified as areas with a high frequency of extreme drought. Finally, the central region of Sichuan Province was characterized by both severe and extreme drought conditions. Based on the SPEI12-derived spatial distribution of the drought frequency in the north–south transitional zone, the areas with a high total drought frequency were mainly concentrated in central and eastern Henan, southeast Shaanxi, southeast Shandong, and central Sichuan, which primarily experienced light to moderate drought. The northwestern part of Jiangsu, the southern part of Hebei, and the western part of Shandong are regions with a high frequency of severe drought, while the eastern part of Henan is an area with high frequencies of both severe and extreme drought. (3) High-value areas of extreme precipitation and drought disturbance in the north–south transitional zone overlapped with the edge of the transitional zone to varying degrees. Approximately 63.58% of the north‒south transitional zone of China was characterized by moderate or high stress levels, primarily concentrated along the southern boundary and central core area, and nearly 39.5% of all counties experienced two or more types of disaster stresses. [ABSTRACT FROM AUTHOR]

Common bean (Phaseolus vulgaris L.) is one of the most important grain legumes consumed globally, especially in Ethiopia, for its edible seeds, cash crops, and supply of protein for farmers. Efficient statistical methods must be employed for the evaluation of common bean varieties to accurately select superior varieties that contribute to agricultural productivity. The objective of this study was to identify promising large mottled bean varieties through analysis of multi-environment trials (MET) data using multiplicative spatial mixed models. In this study, 16–18 large mottled common bean varieties, including one check, were sown across nine growing environments in Ethiopia using lattice and alpha lattice designs, with three replications laid out in a square or rectangular (row by column) array of plots, respectively during the main cropping season from 2015 to 2018. We present a linear mixed model analysis that integrates spatial and factor analytic (FA) models, and the heritability measure was used to evaluate the efficiency of these models with the conventional analysis. The analysis of the spatial model, and more significantly, the spatial+FA model, revealed a notable enhancement in heritability. With the exception of a trial conducted at Kobo, a genotype DAP 292, found to be good performing for days to flowering and maturity, but for yield only across four clusters of trials, C2, C3, C5 and C7, formed with trials of relatively high genetic variance. Across these clusters, the yield advantage of this variety over the check ranged from 10–32%. This genotype also has a yield that is somewhat comparable to the check across the remaining clusters. Overall, both the spatial and factor analytic models proved to be effective approaches for analyzing the data in this study. The analysis of multi-environment trial data through the use of more efficient statistical models can provide a more robust platform for evaluating common bean varieties with greater confidence in selecting superior varieties across a range of environments. Hence, scaling up the use of this efficient analysis method is indispensable for enhancing the selection of superior varieties. [ABSTRACT FROM AUTHOR]

In recent years, Rwanda, especially its Eastern Province, has been contending with water shortages, primarily due to prolonged dry spells and restricted water sources. This situation poses a substantial threat to the country's agriculture-based economy and food security. The impact may escalate with climate change, exacerbating the frequency and severity of droughts. However, there is a lack of comprehensive spatiotemporal analysis of meteorological and agricultural droughts, which is an urgent need for a nationwide assessment of the drought's impact on vegetation and agriculture. Therefore, the study aimed to identify meteorological and agricultural droughts by employing the Standardized Precipitation Evapotranspiration Index (SPEI) and the Vegetation Health Index (VHI). VHI comprises the Vegetation Condition Index (VCI) and the Temperature Condition Index (TCI), both derived from the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). This study analyzed data from 31 meteorological stations spanning from 1983 to 2020, as well as remote sensing indices from 2001 to 2020, to assess the spatiotemporal patterns, characteristics, and adverse impact of droughts on vegetation and agriculture. The results showed that the years 2003, 2004, 2005, 2006, 2013, 2014, 2015, 2016, and 2017 were the most prolonged and severe for both meteorological and agricultural droughts, especially in the Southern Province and Eastern Province. These extremely dry conditions led to a decline in both vegetation and crop production in the country. It is recommended that policymakers engage in proactive drought mitigation activities, address climate change, and enforce water resource management policies in Rwanda. These actions are crucial to decreasing the risk of drought and its negative impact on both vegetation and crop production in Rwanda. [ABSTRACT FROM AUTHOR]

The maturity of fruits and vegetables such as tomatoes significantly impacts indicators of their quality, such as taste, nutritional value, and shelf life, making maturity determination vital in agricultural production and the food processing industry. Tomatoes mature from the inside out, leading to an uneven ripening process inside and outside, and these situations make it very challenging to judge their maturity with the help of a single modality. In this paper, we propose a deep learning-assisted multimodal data fusion technique combining color imaging, spectroscopy, and haptic sensing for the maturity assessment of tomatoes. The method uses feature fusion to integrate feature information from images, near-infrared spectra, and haptic modalities into a unified feature set and then classifies the maturity of tomatoes through deep learning. Each modality independently extracts features, capturing the tomatoes' exterior color from color images, internal and surface spectral features linked to chemical compositions in the visible and near-infrared spectra (350 nm to 1100 nm), and physical firmness using haptic sensing. By combining preprocessed and extracted features from multiple modalities, data fusion creates a comprehensive representation of information from all three modalities using an eigenvector in an eigenspace suitable for tomato maturity assessment. Then, a fully connected neural network is constructed to process these fused data. This neural network model achieves 99.4% accuracy in tomato maturity classification, surpassing single-modal methods (color imaging: 94.2%; spectroscopy: 87.8%; haptics: 87.2%). For internal and external maturity unevenness, the classification accuracy reaches 94.4%, demonstrating effective results. A comparative analysis of performance between multimodal fusion and single-modal methods validates the stability and applicability of the multimodal fusion technique. These findings demonstrate the key benefits of multimodal fusion in terms of improving the accuracy of tomato ripening classification and provide a strong theoretical and practical basis for applying multimodal fusion technology to classify the quality and maturity of other fruits and vegetables. Utilizing deep learning (a fully connected neural network) for processing multimodal data provides a new and efficient non-destructive approach for the massive classification of agricultural and food products. [ABSTRACT FROM AUTHOR]

Cereal crops are crucial for global food security; however, they are susceptible to various environmental stresses that significantly hamper their productivity. In response, melatonin has emerged as a promising regulator, offering potential benefits for stress tolerance and crop growth. This review explores the effects of melatonin on maize, sorghum, millet, rice, barley, and wheat, aiming to enhance their resilience to stress. The application of melatonin has shown promising outcomes, improving water use efficiency and reducing transpiration rates in millet under drought stress conditions. Furthermore, it enhances the salinity and heavy metal tolerance of millet by regulating the activity of stress-responsive genes. Similarly, melatonin application in sorghum enhances its resistance to high temperatures, low humidity, and nutrient deficiency, potentially involving the modulation of antioxidant defense and aspects related to photosynthetic genes. Melatonin also exerts protective effects against drought, salinity, heavy metal, extreme temperatures, and waterlogging stresses in maize, wheat, rice, and barley crops by decreasing reactive oxygen species (ROS) production through regulating the antioxidant defense system. The molecular reactions of melatonin upregulated photosynthesis, antioxidant defense mechanisms, the metabolic pathway, and genes and downregulated stress susceptibility genes. In conclusion, melatonin serves as a versatile tool in cereal crops, bolstering stress resistance and promoting sustainable development. Further investigations are warranted to elucidate the underlying molecular mechanisms and refine application techniques to fully harness the potential role of melatonin in cereal crop production systems. [ABSTRACT FROM AUTHOR]