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Context: The rice-wheat (RW) system, spanning 13.5 million hectares in South Asia, is crucial for food security and livelihoods. However, intensive conventional tillage-based practices have harmed soil and environmental health, decreased productivity trends and increased greenhouse gas emissions. Objective: This study aims to develop resilient, climate-smart cropping systems within the RW system, focusing on soil and crop productivity, economic viability, and reduced greenhouse gas (GHG) emissions. Methods: Over eight years, the study evaluated diverse parameters compared to farmer practices (FP) in seven scenarios (Sc), including one representing FP (Sc1) and six based on conservation agriculture (CA) principles. The study assessed system crop productivity, economic returns, soil quality (organic carbon; OC, nitrogen; N, phosphorus; P, potassium; K contents, bulk density; BD, soil aggregation, infiltration rates, microbial counts, and earthworm density), and GHG emissions. Results: CA-based scenarios (Sc2 to Sc7) showed improved soil quality, lower bulk density, enhanced soil aggregation, and increased infiltration rates compared to Sc1. In the 0–15 cm layer, surface soil organic carbon (OC) and C stock were 63.7 % and 49.6 % higher, respectively, in CA-based scenarios. Additionally, available N, P and K contents in the surface layer increased by 10.2 %, 28.6 %, and 21.8 % under CA-based scenarios. Adoption of CA in intensified maize-based scenarios (Sc4 and Sc5) led to the increased system and economic yields, higher soil quality index (SQI), reduced GHG emissions and increased C stock compared to Sc1. Implications: The study highlights that Conservation Agriculture (CA) practices and diversified crop rotations can address issues like falling crop productivity, reduced economic returns, soil degradation, and increasing environmental impacts in northwestern India's traditional rice-wheat system. However, widespread adoption requires government policies, including C credit payments and guaranteed markets with supportive pricing.

Crop diversification offers numerous synergistic advantages over intensive monocultures via belowground interspecific interactions. The plant–soil–microbiome interactions that trigger cascading effects underpin the benefits of crop diversification. Unlocking the potential of cascading effects in diversified cropping systems can alleviate common obstacles in intensive monoculture farming. Strategically selecting species and varieties that complement and facilitate one another can enhance agricultural productivity with fewer agrochemical inputs. Crop diversification practices offer numerous synergistic benefits. So far, research has traditionally been confined to exploring isolated, unidirectional single-process interactions among plants, soil, and microorganisms. Here, we present a novel and systematic perspective, unveiling the intricate web of plant–soil–microbiome interactions that trigger cascading effects. Applying the principles of cascading interactions can be an alternative way to overcome soil obstacles such as soil compaction and soil pathogen pressure. Finally, we introduce a research framework comprising the design of diversified cropping systems by including commercial varieties and crops with resource-efficient traits, the exploration of cascading effects, and the innovation of field management. We propose that this provides theoretical and methodological insights that can reveal new mechanisms by which crop diversity increases productivity. [ABSTRACT FROM AUTHOR]

Declining natural pollinator populations are a potential threat to global food supplies. Mass flowering summer annual oilseeds can provide much needed crop diversity and floral resources to support pollinator communities.We evaluated how managing planting date affects floral phenology, floral accumulation (flower coverage time × flower area), pollinator visitation, pollinator diversity and yield of nine oilseed crops.Borage (Borago officinalis L.), calendula (Calendula officinalis L.), crambe (Crambe abyssinica Hochst), cuphea (Cuphea viscosissima Jacq. × Cuphea lanceolata W. T. Aiton), echium (Echium plantagineum L.), flax (Linum usitatissimum L.), spring camelina (Camelina sativa (L.) Crantz), spring canola (Brassica napus L.) and sunflower [Helianthus annuus L.] were grown in Morris, Minnesota during the summers of 2013 and 2014. Each crop was planted on a "standard" planting date of mid‐May and additional planting dates of early May, early June and early July.Shifting planting dates affected flowering phenology, floral accumulation, pollinator visitation and crop yield. Later planting dates led to later onset of flowering for all crops and affected total floral accumulation for crambe, cuphea and echium. Pollinator visitations changed with planting date and were generally greater with the later planting dates. At least two of the four planting dates supported high yield for each crop.The ability to maintain high crop yield across a window of planting dates affords growers management options for their fields and can be used to design complementary resource pairing and improve pollinator health through crop diversification and management. [ABSTRACT FROM AUTHOR]

Mixed cropping with legumes may mitigate negative impacts of maize, Zea mays L. (Poaceae), production on arthropods by providing additional habitat structures and food resources. Still, knowledge about effects of less common legume partner crops for mixed cropping of maize is scarce. Activity density of epigeic predatory arthropods and proxies for ecosystem functions related to biological pest control were assessed on an experimental field. Plots of mixed cropping of maize and sainfoin, Onobrychis viciifolia Scop. (Fabaceae), and respective single plant species (plot size: 6 × 5 m; n = 48) differed in combination of the seed rate of each partner crop and tillage treatment. Using the "rapid ecosystem function assessment" approach in each plot on three occasions, we tested whether the activity density of generalist arthropod predators and their associated ecosystem functions can be promoted by mixed cropping of maize with sainfoin. Our data show that, compared with tilled maize as a pure culture, mixed cropping can increase activity density of generalist arthropod predators and insect predation potential but effects were limited to strip‐tilled cropping systems and partly depended on sampling date. Thus, from an ecological viewpoint, mixed cropping of sainfoin and maize in strip‐till systems offers the possibility to promote predatory insects and their potential for pest regulation. However, this system is inherently more prone to weed occurrence. Competition effects between cropping partners and weeds may reduce yields and hence lead to trade‐offs between enhancement of arthropods and economic viability. [ABSTRACT FROM AUTHOR]

Bangladesh's agriculture is highly rice-centric. Although economically rational, this is also risky, and arguably unsustainable. As a result, there is increasing interest in crop diversification (CD). This study examines the policy environment and the implementation of projects promoting CD in Bangladesh from 1971 to the present. An integrated analytical framework, developed by the International Wheat and Maize Improvement Center (CIMMYT) was used. Despite numerous policies and projects aimed at promoting CD, progress remains limited due to historical biases and various challenges. This research identifies a significant gap in existing approaches, which primarily focus on production aspects while neglecting market systems for new crops. Additionally, inadequate coordination among government agencies has impacted the effectiveness of projects implemented by development partners. The study highlights that CD efforts have been largely project-driven and short-lived, emphasizing the need for mainstreaming CD with dedicated annual funding to ensure long-term sustainability. Key challenges in funding, market development, and implementation are identified. The study recommends mainstreaming CD through annual budgets and enhancing market linkages. Furthermore, it provides actionable guidelines for policymakers and practitioners to effectively promote and sustain crop diversification in Bangladesh's agriculture. [ABSTRACT FROM AUTHOR]

Background: Crop rotation is an important agricultural practice that often affects the metabolic processes of soil microorganisms through the composition and combination of crops, thereby altering nutrient cycling and supply to the soil. Although the benefits of crop rotation have been extensively discussed, the effects and mechanisms of different crop combinations on the soil microbial community structure in specific environments still need to be analyzed in detail. Materials and methods: In this study, six crop rotation systems were selected, for which the spring crops were mainly tobacco or gramineous crops: AT (asparagus lettuce and tobacco rotation), BT (broad bean and tobacco rotation), OT (oilseed rape and tobacco rotation), AM (asparagus lettuce and maize rotation), BM (broad bean and maize rotation), and OR (oilseed rape and rice rotation). All crops had been cultivated for > 10 years. Soil samples were collected when the rotation was completed in spring, after which the soil properties, composition, and functions of bacterial and fungal communities were analyzed. Results: The results indicate that spring cultivated crops play a more dominant role in the crop rotation systems than do autumn cultivated crops. Crop rotation systems with the same spring crops have similar soil properties and microbial community compositions. pH and AK are the most important factors driving microbial community changes, and bacteria are more sensitive to environmental responses than fungi. Rotation using tobacco systems led to soil acidification and a decrease in microbial diversity, while the number of biomarkers and taxonomic indicator species differed between rotation patterns. Symbiotic network analysis revealed that the network complexity of OT and BM was the highest, and that the network density of tobacco systems was lower than that of gramineous systems. Conclusions: Different crop rotation combinations influence both soil microbial communities and soil nutrient conditions. The spring crops in the crop rotation systems had stronger dominating effects, and the soil bacteria were more sensitive than the fungi were to environmental changes. The tobacco rotation system can cause soil acidification and thereby affect soil sustainability, while the complexity of soil microbial networks is lower than that of gramineous systems. These results provide a reference for future sustainable applications of rotation crop systems. [ABSTRACT FROM AUTHOR]

Rainfed agriculture is primarily limited by unstable low precipitation, poor soil fertility and monocropping, which are the main factors leading to decreased crop production. This long-term research was conducted under a rainfed agroecosystem from 2019 to 2023 on the sierozem soil of the Karshi steppe, Uzbekistan. Along with winter wheat (WW) which was the main crop covering 50% of each proposed cropping pattern, chickpea (CH), safflower (SA), flax (FL), barley (BA) and canola (CA) were evaluated to find the most suitable rotation systems under no-till (NT) i.e. NT1: WW-CH-WW-FL, NT2: CH-WW-SA-WW, NT3: WW-SA-WW-BA and NT4: SA-WW-CA-WW compared against continuous WW produced with conventional tillage (CT). Results showed that the integrated effect of NT x crop diversification x residue retention positively affected crop productivity; however, their impact were significantly higher under the NT2 treatment, but not with continuous WW under CT. The highest grain yield of W Win the 2020-2021 growing season was recorded under NT2 and NT4 treatments with values of 1.47 and 1.30 Mg ha-1, while the lowest index (1.02 Mg ha-1) was found at the CT treatment. The grain yield in the NT treatments increased with the improvement of soil chemical and physical parameters, i.e. NPK and humus content. When comparing NT2 to CT treatment at the project end, the total N, P, and K values at the 0-20 cm soil profile were 27.9%, 13.9%, and 33.9% higher, respectively. This study concluded that implementation of NT along with strategic selection of legumes incorporated into the cropping system and residue management can be prioritized as rehabilitation measures in rainfed croplands. [ABSTRACT FROM AUTHOR]

This study investigates the determinants and extent of crop diversification and its impact on farm households’ income and income diversification in rural Bangladesh, utilizing data from 450 households across the districts of Manikganj, Tangail, and Gaibandha. The findings reveal moderate to high levels of crop and income diversification across these sites. Using a Tobit model, the study identifies significant socio-economic factors influencing crop diversification, including literacy, farm size, and market distance. Additionally, it shows that crop diversification intensity, the household head’s age and education, and on- and off-farm income significantly affect income diversification. These factors, along with farm size, also significantly impact crop income. This research addresses a significant gap in the literature by exploring the underexamined interaction between crop diversification and income diversification in Bangladesh. It contributes to a broader understanding of how diversification strategies can enhance agricultural productivity and income stability and offers valuable policy implications. [ABSTRACT FROM AUTHOR]

In Eastern and Southern Africa (ESA), smallholder rain-fed systems are vital, yet they are challenged by land degradation, soil fertility decline, and climate risks. To address these challenges, crop diversification has been promoted as a potential pathway to enhance productivity, improve nutritional security, and offer a viable pathway out of poverty and hunger. This study explores crop diversification among 150 smallholder households in the Kasungu, Mchinji, and Lilongwe districts of Malawi, where the project Sustainable Intensification of Maize Legume Systems in East and Southern Africa (SIMLESA) has engaged the smallholder farmers in conservation agriculture (CA)-based sustainable intensification participatory research and development for seven years since 2010. This study used Simpson's diversity index (SDI) to estimate crop diversification, and a multiple linear regression model (MLRM) to analyze how smallholder farmers' socio-economic characteristics influence adoption. The findings show a prevalence of small farms of less than 1.5 hectares, with most farmers perceiving crop diversification as beneficial for soil fertility. Key adoption constraints include labor shortages and a lack of legume seeds. SIMLESA participants lead in crop rotations, with a 63% higher adoption rate, and show the highest crop diversity, with a 99% increase in farmers growing three crops and a 74% increase in those growing four crops compared to non-SIMLESA farmers. The SDI values were 0.39 for non-SIMLESA, 0.48 for SIMLESA neighbors, and 0.57 for SIMLESA participants. Access to NGO inputs, larger farm sizes, and participation in research programs were positively associated with diversification, while food insufficiency was negatively associated with its adoption. The study highlights the importance of integrating participatory research methods to promote development initiatives effectively. [ABSTRACT FROM AUTHOR]

Intensive agriculture often comes at the expense of soil health. A shift towards practices that foster soil health will support yield and defences against pests and diseases. Growing crops in monoculture is the standard in modern agriculture, though strip‐cropping, in which different crops are planted in strips, is a promising strategy in the transition towards sustainable agriculture. Increasing crop diversity is hypothesized to positively influence arbuscular mycorrhizal fungi (AMF), thereby enhancing soil health, but the mechanisms by which AMF‐plant symbioses contribute to higher yields and reduced pest populations in strip‐cropping systems remain unclear. We used a green‐house experiment with potato plants to explore the soil legacy effects of mono‐cropping versus strip‐cropping systems, AMF inoculation and aphid infestation on AMF root colonization, the induction of plant defences (untargeted LCMS‐based metabolomics), aphid population size and potato yield. We found that potato plants grown in strip‐cropping soil had higher AMF colonization than plants grown in mono‐cropping soil. Potato plants grown in strip‐cropping soil also had higher shoot nitrogen content, increased solamargine levels, and reduced aphid populations. AMF root colonization was only enhanced by the addition of commercial AMF in mono‐cropping soils. Potato plant metabolites were affected by strip‐cropping soil, including jasmonic acid (JA) derivatives. Structural equation models revealed that strip‐cropping soil directly reduced aphid populations and also had a negative direct effect on the JA precursor OPC‐8, and hydroxyJA‐glucosides, indicating complex effects of strip‐cropping soils on JA‐inducible plant defences. Indirect benefits of strip‐cropping soil and AMF inoculation on tuber yield were mediated by their direct positive effects on plant nitrogen content. Our results emphasize the potential of strip‐cropping to enhance AMF root colonization in the field. We show that soil legacy effects of strip‐cropping alter the plant metabolome in ways that suppress of aphid populations. Strip‐cropping legacy effects are the result of crop diversity, crop neighbour and edge effects resulting from crop management practices. While the mechanisms by which soil from strip‐cropping supresses pest populations still need to be identified, our study underscores the potential for strip‐cropping to enhance pest control and yield via soil mediated processes. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

Climate change is projected to decrease maize yields due to warmer temperatures and their consequences. Studies using crop growth models (CGMs), however, have predicted that, through a combination of alterations to planting date, flowering time, and maturity, these yield losses can be mitigated or even reversed. Here, we examine three assumptions of such studies: (1) that climate has driven historical phenological trends, (2) that CGM ensembles provide unbiased estimates of yields under high temperatures, and (3) that the effects of temperature on yields are an emergent property of interactions between phenology and environment. We used data on maize phenology from the United States Department of Agriculture, a statistical model of maize hybrid heat tolerance derived from 80 years of public yield trial records across four US states, and outputs of an ensemble of CMIP6 climate models. While planting dates have advanced historically, we found a trend toward later planting dates after 2005 and no trend for silking or maturity, shifting more time into the reproductive period. We then projected maize yields using the historical model and crop calendars devised using three previously proposed adaptation strategies. In contrast to studies using CGMs, our statistical yield model projected severe yield losses under all three strategies. Finally, we projected maize yields accounting for historical genetic variability for heat tolerance, discovering that it was insufficient to overcome the negative effects of projected warming. These projections are driven by greater heat stress exposure under all crop calendars and climate scenarios. Combined with analysis of the internal sensitivities of CGMs to temperature, our results suggest that current projections do not adequately account for the effects of increasing temperatures on maize yields. Climate adaptation in the US Midwest must utilize a richer set of strategies than phenological adaptation, including improvements to heat tolerance and crop diversification. [ABSTRACT FROM AUTHOR]

Background: In the face of rising global food demand, climate change, and economic uncertainties, crop diversification has emerged as a crucial tool for achieving both economic and environmental sustainability. In Bangladesh, where the economy heavily relies on agriculture, crop diversification can play a vital role in enhancing farmers' livelihoods and domestic food production. Results: This study focuses on Rangpur district, an agricultural hub in Bangladesh, analyzing data from 122 farmers to assess the status, determinants, and effects of crop diversification. The Simpson Diversification Index (SDI) analysis revealed that 29% and 68% of the farmers exhibit very high and high degrees of crop diversification, respectively. The Tobit model identified significant drivers of crop diversification, including education, household size, farming experience, non‐farm income, mobile phone information access, experience with climatic shocks, and land type. Additionally, the Log‐Linear model indicated that each unit increase in the SDI score corresponds to a 2.41% increase in farmers' income. Conclusion: The study demonstrates that crop diversification is a key strategy for enhancing economic sustainability and increasing income among farmers in Bangladesh. By improving both economic outcomes and resilience, crop diversification supports sustainable agricultural practices in the region. [ABSTRACT FROM AUTHOR]

Cover cropping consists in sowing non-cash crops to improve regulating and supporting services without seeking provisioning services. Cover cropping has the potential for spatio-temporal diversification of cropping systems to help address food security while also improving environmental sustainability. However, cover crops are still poorly adopted by farmers worldwide. One of the key reasons behind this poor adoption is the difficulties in ensuring cover crop establishment that is further exacerbated by the current knowledge gaps. On the other hand, no study has yet summarized key published and unpublished information on cover crop emergence and field establishment that may help fill these knowledge gaps. In light of this, for the first time, we comprehensively review the literature to summarize and quantify information related to cover crop emergence and propose strategies for improving their field establishment. The major findings are as follows. (1) Detailed statistics on the share of arable land sown to cover crops are lacking, but the available information suggests that this share is increasing over the years ranging from 4% in the USA to 9% in the EU. (2) Four key factors—regulations and public policy incentives, economic factors, knowledge factors, and environmental factors—influence the adoption or non-adoption of cover crops by farmers. (3) Poor emergence and field establishment, due to unfavorable environmental conditions, is one of the most important obstacles to cover crop adoption across temperate regions worldwide. (4) Five forms of cover crop sowing are practiced by farmers that can be grouped into two major sowing strategies—sowing before and after harvesting cash crops—each of them presenting several strengths and limits. (5) A wide range of sowing equipment is available for farmers but their choice depends on several factors including work output and costs. Finally, we emphasize the role of a decision support system and modeling, for an optimal cover crop sowing and field establishment, which are key for enhanced quantity of biomass production and ecosystem service provisioning. [ABSTRACT FROM AUTHOR]

Understanding the dynamics of soil phosphorus (P) over extended periods of soil and crop management practices is essential for sustainable P management. This study assessed the impact of four crop rotations [maize-wheat (M-W), maize-wheat-mungbean (M-W-Mb), maize-wheat-maize-chickpea (M-W-M-C), and pigeonpea-wheat (P-W)] each with three levels of nutrient management [control (CT), integrated nutrient management (suboptimal fertilizer+ farmyard manure + crop residue + bio-fertilizers; INM), and sole-chemical fertilizers (CF)] on soil inorganic and organic P (Pi and Po) pools and crop–soil relationships at the end of 15-year cropping. Legume-inclusive rotations resulted in higher labile-P pools, being higher with M-W-M-C and P-W. M-W-M-C rotation had higher moderately labile organic P (Po) in both surface (+23%) and subsurface (+18%) depths over M-W. Di-calcium P (Ca2-P) (+6%) and microbial biomass P (MBP) (+46%) increased in M-W-Mb over M-W, while iron-P (Fe-P) was reduced (−12%) in subsurface soil. INM enhanced bioavailable-P [soluble-P (+17%), labile-Pi (+15%) labile-Po (+12%), MBP (+96%), moderately labile-Po (+22%)] over CF in surface soil, while CF had a higher Fe-P (+16%). Legumes in rotation caused notable changes in the surface-to-subsurface ratio (SSBR) of Ca2-P (1.18–1.50) and occluded-P (1.64–2.78). INM had a higher SSBR of labile-P pools but had a lower SSBR of occluded-P facilitating mobilization of the later in the surface. Hence, in tropical soils, legume-inclusive diversification (particularly with chickpea) and INM involving crop residue recycling could be a sustainable option to improve P use efficiency, crop productivity, and save fertilizer resources. [ABSTRACT FROM AUTHOR]

AbstractWe use three waves (2011–2012 to 2016–2017) of nationally representative repeated cross section surveys to study the impact of crop diversification (number of crops grown) on household welfare, measured by real adult equivalent consumption and food expenditure and dietary diversity, in Afghanistan. Diversification is very low (almost half grow only one crop and fewer than a fifth grow three or more crops) but increased during the period. A multinomial endogenous switching regression (MESR) addressing selection bias and endogeneity is used to estimate average treatment effects of moving from one crop to two crops and then to three or more crops. The analysis shows that crop diversification increases household consumption and food spending, and, to a modest extent, dietary diversity compared to undiversified households. This holds irrespective of conflict although the effect varies; households experiencing violence tend to divert spending to food from other consumption spending and only the most diversified are able to increase spending compared to undiversified households. The evidence implies that supporting crop diversification can improve food security (through combined effects on spending and food diversity) and mitigate the negative impacts of conflict. [ABSTRACT FROM AUTHOR]

Women of reproductive age are particularly vulnerable to low‐quality diets due to their higher micronutrients needs. The minimum dietary diversity for women (MDDW) is a proxy for micronutrient adequacy in this group of women. Its relationship with other aspects that lead to malnutrition is not fully elucidated and depends on the context. In this study, we assessed the prevalence of MDDW among women of a rural area in Chad and its association with socioeconomical, agricultural, dietary and food security data. A cross‐sectional study was conducted. Following a multistage cluster sampling, 984 women of reproductive age were randomly selected and interviewed in March 2019. We obtained food consumption data through unquantified 24 h recalls and computed MDDW as consuming at least five out of 10 predefined food groups. We constructed a Food Production Diversity Score (FPDS) with crop and livestock information. We obtained multivariable logistic regression models including different covariates. MDDW was achieved by only 33% of women in the sample. In our final model, we identified a significant association of MDDW with the FPDS and gathering of wild plants. Women in households with the highest FPDS had 70% more chances of achieving MDDW than those with the lowest FPDS. Gathering wild plants doubled these chances. Areas of cultivated land, Water, Sanitation and Hygiene resources, and a high level of food security, measured with the Household Food Insecurity Access Scale, were also significantly related to the achievement of MDDW. This illustrates the importance of nutrition‐sensitive policies, also considering biodiversity and food production diversification. [ABSTRACT FROM AUTHOR]

The application of the resilience concept within socioecological systems has recently received much attention. Assessing the characteristics of cocoa agroecosystems in the dry and moist semi-deciduous ecological zones has become critical for resilience analysis in this era of climate change and the constant shrinking of cocoa suitability areas. Previous studies have used one of the dimensions of resilience to analyse complex adaptive systems, excluding critical factors and variables. This study applied a multi-criteria decision-making process, the Analytic Hierarchy Process (AHP) that accommodates the three dimensions of resilience, i.e., buffer capacity, adaptive capacity and self-organisation. The AHP is a multi-criteria decision-making tool that proceeds with the design of a hierarchy system for the goal, criteria, attributes and variables. Selected cocoa farmers were assigned weights related to criteria, attributes and variables in a comparison matrix. The resilience of the cocoa agroecosystems in Offinso Municipal and Adansi North Districts was 2.75 ± 0.06 (mean ± SD) and 3.23 ± 0.10 (mean ± SD), respectively. Buffer capacity contributed the highest proportion (44.3%) in the Offinso Municipal District, followed by adaptive capacity (38.7%) and self-organisation (17%). A similar trend was recorded for the Adansi North District: buffer capacity (42.9%), adaptive capacity (42.9%) and self-organisation (14.3%). Across the two study areas, shade trees, crop diversification, soil quality, cocoa variety, farm size, farm age, alternative livelihood, annual income and co-operative membership contributed prominently to the construction of cocoa agroecosystem resilience. The assessment of agroecosystem resilience is location-specific, and the study provides a simplified methodology for evaluating resilience. The paper aims to understand the importance of the components of the cocoa agroecosystem, and a simplified methodology for evaluating its resilience to perturbations. It presents a conceptual and methodological framework for the analysis and measurement of agroecosystem resilience in a participatory manner. [ABSTRACT FROM AUTHOR]

Due to rising population, the globe confronts serious issues with food security, unemployment, and ecological damage. In comparison to 9.9% in 2020 and 8.4% in 2019, about 10% of the world's population experienced hunger in 2021 (FAO, 2022). Diseases like anemia, thyroid, and night blindness can all be driven forth by malnutrition. Many low-income households find it expensive to eat animal products. A variety of neglected vegetables can serve as a substitute for vitamins, minerals, and secondary plant metabolites that support health. Under-utilized legumes, abundant in plant-based protein, offer an affordable alternative to address protein deficiency. The significant folic acid content of several underutilized green vegetables contributes to minimizing the risk of coronary ailments. Crop diversification is a strategy that considerably increases food security, health and nutrition, climate resilience, and environmental sustainability. In small-scale farming, the integration of a variety of crops not only enables more effective utilization of agro-ecological processes, but also contributes to the diversity of the human diet and raises family income. Vegetable crop diversification has potential to enhance availability and financial affordability of healthy and fresh food. Additionally, by cultivating a diverse range of crops locally, there will be rise in economic opportunities. [ABSTRACT FROM AUTHOR]

Agriculture is vulnerable to extreme weather shocks. Climate change increases both the frequency and the intensity of such shocks. To safeguard farmers' income and food production, climate adaptation measures are required. This article aims to examine the effectiveness of crop diversification as an adaptation measure, using Italy as a case study. We apply a control function approach to a panel dataset of 20,790 Italian farms, which considers (i) the crop diversification decision and (ii) the influence of crop diversification on farmers' levels of crop income and income risk. We find that, while specialisation can increase income, crop diversification reduces income risk most effectively when growing four different crops. At this level of diversification, income risk is approximately 29% lower as opposed to monoculture farming. Although the Common Agricultural Policy's greening payments for crop diversification make sense from an ecological and risk‐reducing point of view, we find that they are potentially insufficient to cover the loss of expected crop income from diversification. While crop diversification reduces income risk in general, we find no specific benefit in terms of weather shock‐induced risks. This may be because a price increase following a weather shock buffers its adverse effect. However, identifying the reasons requires further research. [ABSTRACT FROM AUTHOR]

Drought events are a major cause of large crop yield losses with implications for food security and farmers' incomes. Growing multiple crops simultaneously during a cropping season is a well‐known on‐farm risk management strategy to cope with these drought risks. However, the effectiveness of this crop diversification under different severity levels of drought and how this effectiveness is influenced by the crop composition is unclear. This article provides new methodological and empirical insights to assess the effectiveness of such diversification, in particular to cope with extreme drought. We apply and evaluate nested Archimedean copulas and elliptical copulas to assess simultaneous farm‐level yield losses of different cash crops in German agriculture (winter wheat, winter barley, winter rapeseed, sugar beet, and grain maize) under different drought severity levels (N = 249,756; regionally pooled farm‐level crop‐yield pairs, 1995–2019). We show that on‐farm crop diversification contributes to cope with drought risks, but its effectiveness varies considerably across regions, crop pairs, and drought severity. Our results underline that cropping system diversification alone is often not sufficient to cope with drought risks, but that the right crop combinations are needed. For example, during a severe drought (one in 20 years event), 26.4% of farmers in eastern Germany suffered simultaneous yield losses of at least 20% in winter wheat and winter barley, while 19.1% of farmers in eastern Germany suffered simultaneous yield losses of at least 20% in winter wheat and sugar beet. Farmers should therefore be encouraged to grow crops with more diverse phenological requirements throughout the year. [ABSTRACT FROM AUTHOR]

Sustainable agricultural practices need to be continuously sought after so that a greater number of producers can adopt them, taking into account, above all, the food security scenario, land use efficiency, and climate change. Intercropping—a cultivation system in which two or more species are grown in close proximity in the same field—is one strategy to increase diversity in the agroecosystem. However, for intercropping systems to be adopted, their productive and economic advantages over monoculture must be clearly demonstrated. Banana (Musa sp.) growers are interested in crop diversification as a potential strategy to increase production yields and, consequently, economic income. The management of banana crops can be facilitated by intercropping, as this system plays an important role in increasing biodiversity and reducing the need for weed control in the crop rows, promoting better land use efficiency. However, this system should be evaluated alongside other indicators. Banana intercropping has significant potential and many benefits, but success depends on the interaction between the component species, appropriate management practices, and favorable environmental conditions. This review aims to provide an overview of recent studies on banana intercropping systems, focusing on the contextualization of land use, monoculture and intercropping, and evaluating intercropping indicators, as well as the benefits, risks, and disadvantages discussed in the literature, and the main outcomes of banana-based intercropping systems. The main findings relate to the possibility of using intercrops with aromatic species and the preliminary reports on the contributions of intercrops to the suppression of Fusarium wilt disease. [ABSTRACT FROM AUTHOR]

Agricultural transformation in Punjab, spurred by the Green Revolution of the mid-1960s, has led to significant shifts in land use patterns, crop diversification, and cropping dynamics. This transformation has profound implications for sustainability and economic resilience. This study delves into the complex relationship among agricultural growth, instability, and environmental sustainability in Punjab. It examines the growth and instability in the state's key crops' area, production, and yield/productivity over 56 years, from 1966–1967 to 2021–2022. Using secondary data, this study employs an assortment of methodologies, including compound annual growth rate, simple linear regression, diversity indices such as the Herfindahl index and Simpson diversity index, instability analysis, and decomposition analysis. The results indicate an increase in cropping intensity, indicating agricultural intensification, with a shift towards wheat and rice monoculture from once diverse cropping patterns. The instability analysis reveals that wheat and rice emerge as the most stable crops in their area, production, and yield, while others exhibit instability, raising concerns about diminishing crop diversity and its implications for Punjab's natural resources. The study emphasizes the urgent necessity for sustainable agricultural practices and policies to counteract monoculture's adverse effects and ensure long-term agricultural resilience. [ABSTRACT FROM AUTHOR]

Abstract It is evident that the means of subsistence of the community have a significant impact on the management of natural resources. This study examined the socio-economic drivers of LULCC and assessed the impacts of such changes on rural livelihoods in Shato forest, southwest Ethiopia. To map the land use and land cover, supervised classifications were used. The data were collected from 358 household heads through semi-structured questionnaires. A logistic regression model was employed to investigate the dependence of rural households on forest resources. LULC analysis results showed that about 308.29 ha of wetland and 3215.6 ha of natural forest were converted to other land use types during the last 30 years. The findings reveal that a household’s education level, household size, distance from the market, total land owned, skills and social network significantly affect their dependency on forest resources. Respondents gave high rankings to covariates such as erratic rainfall (1.70), market price (1.53), low crop output (1.28), and inadequate infrastructure (1.24). These covariates force rural communities of the study area into two major livelihood diversification strategies. These were crop and income diversification. The study comes to conclude that, the extensive and imprudent use of natural resources is a result of changes in livelihood strategies to cope up with the aforementioned shocks. Thus, the decreasing nature of forest resources results in covariate shocks in the study area and needs serious intervention mechanisms to tackle this trajectory of catastrophe.

Abstract Intensification of staple crops through conventional agricultural practices with chemical synthetic inputs has yielded positive outcomes in food security but with negative environmental impacts. Ecological intensification using cropping systems such as maize edible-legume intercropping (MLI) systems has the potential to enhance soil health, agrobiodiversity and significantly influence crop productivity. However, mechanisms underlying enhancement of biological soil health have not been well studied. This study investigated the shifts in rhizospheric soil and maize-root microbiomes and associated soil physico-chemical parameters in MLI systems of smallholder farms in comparison to maize-monoculture cropping systems (MMC). Maize-root and rhizospheric soil samples were collected from twenty-five farms each conditioned by MLI and MMC systems in eastern Kenya. Soil characteristics were assessed using Black oxidation and Walkley methods. High-throughput amplicon sequencing was employed to analyze fungal and bacterial communities, predicting their functional roles and diversity. The different MLI systems significantly impacted soil and maize-root microbial communities, resulting in distinct microbe sets. Specific fungal and bacterial genera and species were mainly influenced and enriched in the MLI systems (e.g., Bionectria solani, Sarocladium zeae, Fusarium algeriense, and Acremonium persicinum for fungi, and Bradyrhizobium elkanii, Enterobacter roggenkampii, Pantoea dispersa and Mitsuaria chitosanitabida for bacteria), which contribute to nutrient solubilization, decomposition, carbon utilization, plant protection, bio-insecticides/fertilizer production, and nitrogen fixation. Conversely, the MMC systems enriched phytopathogenic microbial species like Sphingomonas leidyi and Alternaria argroxiphii. Each MLI system exhibited a unique composition of fungal and bacterial communities that shape belowground biodiversity, notably affecting soil attributes, plant well-being, disease control, and agroecological services. Indeed, soil physico-chemical properties, including pH, nitrogen, organic carbon, phosphorus, and potassium were enriched in MLI compared to MMC cropping systems. Thus, diversification of agroecosystems with MLI systems enhances soil properties and shifts rhizosphere and maize-root microbiome in favor of ecologically important microbial communities.

Chromosome structural variations (SVs), such as deletion, duplication, inversion, and translocation, are important contributors to genetic diversification and crop improvement. Using genome editing tools such as clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR‐associated nuclease (Cas9), desired SVs involving large DNA fragments have been created in rice (Oryza sativa L.), maize (Zea mays L.), and Arabidopsis (Arabidopsis thaliana L.). However, it is still uncertain whether the size of DNA fragment involved could be a prohibiting factor to generate Cas9‐mediated SVs. In this study, we constructed five CRISPR/Cas9 vectors, each expressing two single‐guide RNAs (sgRNAs), to cut two sites spacing at 0.5, 5, 10, 20, and 30 Mb on rice chromosome 4 (Chr4), respectively. Meanwhile, another CRISPR/Cas9 vector cutting two sites, one on Chr4 and the other on Chr1, was also constructed for creation of chromosomal translocation between Chr1 and Chr4. These vectors were transfected into rice protoplasts by polyethylene glycol–mediated transformation. Specific primers were designed to detect desired SV events. The results showed that all designed SVs could be effectively generated by CRISPR/Cas9 in rice protoplasts. This study suggested that the size of DNA fragment involved is unlikely a prohibiting factor for creation of desired SV events. [ABSTRACT FROM AUTHOR]

Role of crop diversification on productivity has been studied widely but its impact on soil carbon dynamics is least studied. The present study was designed to compare the effects of crop diversification in terms of rice‐based mixed crops viz. wheat (RW), chickpea (RC), and flaxseed (RF) and mono‐crops viz. pigeonpea (PP) and mustard (MU) on major soil quality including physical, chemical and biological parameters, total crop biomass, and carbon input (CI) in a tropical rainfed dryland agroecosystem. Trend of total crop biomass observed was: pigeonpea > rice > wheat > mustard > flaxseed > chickpea. Across all the crop sequences, CI into the soil through crop residues including stubbles and root biomass varied considerably and followed the trend: PP > RW > RF > RC > MU. Levels of soil organic carbon (SOC), humic acid, fulvic acid, water holding capacity (WHC), macro‐aggregate fraction, microbial biomass carbon and phosphorus, enzyme activities of alkaline phosphatase, and β‐glucosidase were higher whereas bulk density, meso‐, and micro‐aggregate fractions were lower in the mixed crops than mono‐crops. SOC was positively correlated to all the attributes except bulk density, meso‐, and micro‐aggregate fractions. Lower values of the various soil quality attributes in PP despite the highest CI into the soil as compared to all the mixed crops might be due to the soil carbon priming effect. This study indicated that the quantity of CI through mixed crops had less impact in sustaining soil fertility and productivity of agroecosystems and suggests that the quality of CI play vital role. Mixed cropping sequence especially rice‐wheat was found to be the better option for the dry tropics. [ABSTRACT FROM AUTHOR]

Simple crop rotations like maize and soyabean grown in succession often coincide with simple weed management tactics, resulting in weed infestations that are highly adapted to the conditions maintained for the selected crops. Amaranthus tuberculatus is a prominent weed species which possesses biological characteristics that allow it to persist in maize–soyabean rotations. Spring wheat and oats emerge earlier than A. tuberculatus and are grown in narrower rows than maize and soyabean, which may increase their competitive capability. A field study which measured morphological and phenological characteristics of three A. tuberculatus cohorts that emerged under fallow, maize, soyabean, spring wheat and oats was conducted to compare their competitive ability. Early emerged A. tuberculatus grew similarly in fallow, maize and soyabeans and grew to heights of >150 cm but was significantly reduced in spring wheat and oats, never exceeding 40 cm. Heights of the last emerged cohorts were more influenced by crop canopies never reaching 15 cm in spring wheat and oats compared to >70 cm in fallow. Early emerged A. tuberculatus canopy diameter and branches plant−1 were reduced by >80% in spring wheat and oats compared to fallow. Flowering was delayed in spring wheat and oats compared to fallow and seed production and biomass were reduced by 99% across cohorts. Growth suppression of A. tuberculatus, based on the findings, can be achieved under dense, competitive crop canopies such as in spring wheat and oats and these crops should be considered as additional crops in maize–soyabean rotations. [ABSTRACT FROM AUTHOR]

It is evident that the means of subsistence of the community have a significant impact on the management of natural resources. This study examined the socio-economic drivers of LULCC and assessed the impacts of such changes on rural livelihoods in Shato forest, southwest Ethiopia. To map the land use and land cover, supervised classifications were used. The data were collected from 358 household heads through semi-structured questionnaires. A logistic regression model was employed to investigate the dependence of rural households on forest resources. LULC analysis results showed that about 308.29 ha of wetland and 3215.6 ha of natural forest were converted to other land use types during the last 30 years. The findings reveal that a household's education level, household size, distance from the market, total land owned, skills and social network significantly affect their dependency on forest resources. Respondents gave high rankings to covariates such as erratic rainfall (1.70), market price (1.53), low crop output (1.28), and inadequate infrastructure (1.24). These covariates force rural communities of the study area into two major livelihood diversification strategies. These were crop and income diversification. The study comes to conclude that, the extensive and imprudent use of natural resources is a result of changes in livelihood strategies to cope up with the aforementioned shocks. Thus, the decreasing nature of forest resources results in covariate shocks in the study area and needs serious intervention mechanisms to tackle this trajectory of catastrophe. [ABSTRACT FROM AUTHOR]

Background: Cereal-legume intercropping is an age-old practice in most of the countries. Among the major cereals, maize is a better choice to include in legume intercropping due to its morphology and wider row spacing. Therefore, legume intercropping in consort with proper nutrient management can enhance overall productivity of the system, further improving crop diversification, nutritional security and agriculture sustainability. Considering these aspects, the present study was performed to examine the growth and productivity of maize as influenced by precision nutrient management and cowpea intercropping. Methods: The present study was carried out during rabi season of 2022-23 at P. G. Research Farm of M.S. Swaminathan School of Agriculture, Odisha, India. The experiment was laid out in split-plot design with five intercropping combinations and five nutrient management treatments. All the treatments were replicated thrice. The plot size maintained was 5.0 m x 4.8 m. In case of maize and cowpea, high yielding hybrid 'JKMH 4510' and 'KBC 9' variety were taken for the study, respectively. Result: The results revealed that the growth parameters were significantly affected by intercropping ratios and nutrient management treatments. Although the yield attributes of maize were differed non significantly among the intercropping treatments but were significantly influenced by the nutrient treatments. In case of grain yield of maize, the Green Seeker-based nutrient management gave highest value with cowpea intercropping ratio of 1:1 and 2:2. LER and ATER were greater than unity, which indicated that the intercropping was advantageous. However, the maximum LER and Area Time Equivalent Ratio (ATER) were obtained from C3 (M+C 1:2) with 140:70:70 kg N, P2O5, K2O/ha, respectively. The study concluded that intercropping of maize + cowpea in 1:2 row ratio with Green Seeker-based nutrient management were advantageous over pure stand of maize fertilised with conventional nutrient management. [ABSTRACT FROM AUTHOR]

Food and feed production worldwide heavily relies on wheat (Triticum aestivum). However, current agricultural practices face numerous challenges including a shortage of land for cultivation, a desire to reduce the use of chemical pesticides and fertilizers, and the development of resistance towards employed pesticides and virulence towards host resistance in the most widely grown varieties. In this paper, we demonstrate based on the literature that cultivating wheat variety mixtures generally leads to increased yield and yield stability across years and environments, reduced severity of multiple diseases, and a decreased risk of lodging before harvest compared to the cultivation of pure stands. Moreover, mixtures may delay fungicide resistance development and increase genetic diversity, ultimately prolonging the durability of resistance genes. Furthermore, growing mixtures may lower the risk of crop failure due to more extreme weather events and lead to better utilization of water and nutrients. We discuss a Danish case study advocating the cropping of wheat varieties in mixtures as an example of how variety mixtures can be utilized in integrated pest management strategies. The study shows that if all involved stakeholder groups promote the adoption of variety mixtures, a major uptake by farmers can be reached, potentially reducing the dependency on pesticides in current cropping schemes. [ABSTRACT FROM AUTHOR]

In the face of evolving agricultural practices and climate change, tools towards an integrated biovigilance platform to combat crop diseases, spore sampling, DNA diagnostics and predictive trajectory modelling were optimized. These tools revealed microbial dynamics and were validated by monitoring cereal rust fungal pathogens affecting wheat, oats, barley and rye across four growing seasons (2015–2018) in British Columbia and during the 2018 season in southern Alberta. ITS2 metabarcoding revealed disparity in aeromycobiota diversity and compositional structure across the Canadian Rocky Mountains, suggesting a barrier effect on air flow and pathogen dispersal. A novel bioinformatics classifier and curated cereal rust fungal ITS2 database, corroborated by real‐time PCR, enhanced the precision of cereal rust fungal species identification. Random Forest modelling identified crop and land‐use diversification as well as atmospheric pressure and moisture as key factors in rust distribution. As a valuable addition to explain observed differences and patterns in rust fungus distribution, trajectory HYSPLIT modelling tracked rust fungal urediniospores' northeastward dispersal from the Pacific Northwest towards southern British Columbia and Alberta, indicating multiple potential origins. Our Canadian case study exemplifies the power of an advanced biovigilance toolbox towards developing an early‐warning system for farmers to detect and mitigate impending disease outbreaks. [ABSTRACT FROM AUTHOR]

Agroecosystem simplification for greater food production has led to the loss of ecosystem services such as pest control by predators. Plant diversification has shown excellent potential to improve the diversity of crop predators such as spiders.However, in agroecosystems with frequent disturbances such as annual crops, it is unknown whether the effect of plant diversification on spiders depends on the surrounding landscape and the stages of the agricultural cycle (i.e., periods with differences in vegetation, weather and agricultural practices).Here, we evaluated the effect and interaction of local management (plant diversification), landscape (forest areas) and agricultural cycle on the richness and abundance from the main spider guilds of a maize polyculture in Mexico.We found that greater crop diversification (i.e., addition of legumes and leafy plants) caused a greater abundance of ground‐hunting spiders. We also show that a larger area of forest around the crop favours a greater richness and abundance of ground‐ and vegetation‐hunting spiders.We found that each stage of the agricultural cycle had a different spider richness and abundance, ground hunters were more common at the beginning of the agricultural cycle, while vegetation hunters and web‐builders were more common during the peak developmental stages of the crops.Our findings support the idea that to foster functionally diverse spider communities that potentially enhance natural pest control, we must jointly manage plant elements within the crop, in the surrounding landscape, considering the high dynamics of spider communities throughout the agricultural cycle. [ABSTRACT FROM AUTHOR]

Climate‐smart agriculture (CSA) is key to addressing climate change threats faced by smallholder farmers in Ghana. Nonetheless, evidence of the barriers challenging smallholder farmers in the implementation of CSA practices remains limited in Ghana. This study, therefore, investigated the barriers opposing smallholder cassava farmers in implementing CSA practices in the Afigya Kwabre South District, Ghana. The study used descriptive statistics and content analysis to analyze primary data collected through 200 household surveys and 10 key informant interviews from four selected communities (Aboabogya, Aduamoa, Aduman Old Town, and Aduman New Town) in the district. Results revealed that the smallholder cassava farmers implemented key CSA practices including mulching (89%), mixed farming (86%), crop diversification (84%), and crop rotation (81%) to build their resilience in food systems. Furthermore, the results showed that the critical enablers to the farmers' utilization of CSA practices were access to weather and climate services (82%), a secured land tenure system (75%), and knowledge of the effects of climate change (68%). Also, the results indicated that the key barriers challenging smallholder cassava farmers in the implementation of CSA practices were inadequate technological assistance (91%), the incidence of pests and diseases (90%), and a lack of knowledge and understanding of CSA (90%). We recommend that smallholder cassava farmers adopt improved varieties of cassava that are resistant to pests and diseases, drought tolerant, high yielding, and possessing desirable quality traits. Smallholder cassava farmers can also participate in contract farming schemes that link them to agribusinesses that can offer them access to quality inputs, credit, training, and guaranteed markets for their produce. [ABSTRACT FROM AUTHOR]

In the north-western part of India, especially in Punjab and Haryana plains, the groundwater overdraft increases the cost of its withdrawal for irrigation and causes inequality in its access to farmers. As a result, groundwater markets are gradually emerging as pervasive agrarian institutions. In this research, the groundwater market structure has been studied in Haryana state and Karnal district has been chosen as the study area. For the survey, three villages are selected by the purposive sampling technique. The 300 households (100 households from each village) are selected by the simple random sampling technique. The primary data are collected by close-ended structured scheduled, interviews, and focus group discussions methods from the selected villages between the periods of May to September 2019. The study reveals that groundwater markets help to mitigate the increasing inequalities in groundwater access. The results show that almost 50% of the farming households have participated in the groundwater markets. There is a positive correlation (R2 = 0.6176) between water selling and farm size and a negative correlation (R2 = − 0.9828) between water buying and farm size. Groundwater scarcity, land fragmentation, and no tubewell on their own land have been observed as primary factors for the participation of farmers in groundwater markets. The most popular mode of water transactions is cash-based (hourly), which shows the mature stage of groundwater markets in the study area. Groundwater trade for irrigation is maximum under two crops, rice (45%) and wheat (46%), which significantly puts pressure on the groundwater resources. The study is suggested to change the cropping pattern and moving to two crops combination (rice and wheat) to crop diversification. A community-based approach is essential for efficient groundwater resource use in a water-scarce environment via effective institutional arrangements. [ABSTRACT FROM AUTHOR]

The constant changes experienced in agricultural activities due to climate change pose a great challenge to melon production. Hence, this research examined the determinants of melon farmers' adaptation strategies to cope with climate change hazards in southern–southern Nigeria. The research ultimately depended on primary data collected by using a set of questionnaires and interviews. The data were obtained from 260 samples retrieved from melon farmers by using multistage sampling techniques. The data were analyzed using the multivariate probit (MVP) model and partial eta squared test. The results of the MVP model showed that age (− 0.009), marital status (0.200), access to information on climate change (0.567) and crop insurance (0.214) were significant at the 0.01 level, while household size (− 0.030) was significant at the 0.05 level and determined the adoption of crop diversification. Educational level (0.012), extension contact (0.138) and access to credit (0.122) were significant at the 0.05 level, while access to information on climate change (0.415) was significant at the 0.01 level and determined the adoption of change in planting dates. Age (− 0.010) and access to information on climate change (0.381) were significant at the 0.01 level, while sex (− 0.139), marital status (0.158) and off-farm income (− 2.3E-7) were significant at the 0.05 level and determined the adoption of mixed farming. Farming experience (0.005) is significant at the 0.05 level, while access to information on climate change (0.529) and crop insurance (0.272) are significant at the 0.01 level and determine the adoption of drought-tolerant crop species. Access to information on climate change (0.536) is significant at the 0.01 level, indicating the adoption of improved crop species. Age (− 0.010), farm size (− 0.085) and crop insurance (0.206) were significant at the 0.05 level, while access to information on climate change (0.353) was significant at the 0.01 level and determined the adoption of off-farm job opportunities. The study recommends the availability and accessibility of credit, climate-smart agricultural practices, and the establishment of public‒private partnerships, among others. [ABSTRACT FROM AUTHOR]

Introduction: In France, land use is dominated by a narrow range of crops. As crop diversification is increasingly promoted to transform the food system, outlets for diversification crops need to be identified. We assess the scope for introducing diversification crops from farmers' fields to canteen plates, and the agroecological, environmental, work-related and nutritional impacts of their introduction. Methods: We focus on three diversification crops: chickpea, squash, and millet, to partly replace soft wheat, potato, and durum wheat, respectively. For each crop, we define three scenarios of low (1), medium (2) and high (3) integration into institutional catering on a national scale. We assess the scenarios against the amount of diversification cropland area needed and their expected impacts. Results: Diversification crops can be developed through institutional catering. Taking the case of chickpea, in Scenario 1, chickpea flour is introduced in a cake served once every 20 days, replacing 30% of the soft wheat flour used. This amounts to 874 ha cropped. In Scenario 2, chickpea flour partly replaces wheat flour in all preparations, and 4,048 ha are required. In Scenario 3, raw chickpeas are also introduced into new recipes and 20,958 ha are needed. All three diversification crops support the establishment of agroecological cropping systems, with enhanced nutrient cycling in particular, and reduce their environmental footprint, notably by avoiding pesticide use. Diversification crops do not generate work constraints for farmers and cooks. However, they have a lower productivity per unit area than the reference crops, although they do improve several nutrition parameters such as fiber intake. Discussion: We show for the first time that institutional catering provides a tangible outlet for developing diversification crops and improving the sustainability of agriculture. Our scenarios can support concerted actions between farmers, supply-chain actors, cooks and policy makers, as well as communication to eaters surrounding their impacts on agriculture. [ABSTRACT FROM AUTHOR]

During the Spring and Autumn Period and the Warring States Period, the Yan state attached great importance to the production of grain crops and became a famous dry farming area, where dry crops were mainly planted. Millet, broomcorn and beans were the main grain crops, while wheat, hemp and so on were in a subordinate position. The planting of grain crops had obvious regional differences in the Yan state, which fully reflected the principle of adapting to local conditions. The people of Yan used stone pestle, mortar, grinding disc and grinding rod to peel and husk grains, and stone mills were probably used in the Warring States period. The storage methods of grain in the Yan state were varied and the storage technologies were relatively superior, mainly through castles, cellars and granaries for large-scale storage, and containers were mostly used for temporary storage. Youlin was an important organization for grain storage and management in the Yan state which also had the function of making utensils. Situ was most possibly in charge of agriculture in Yan state, and there were officials under Situ who directly managed granaries. The diversification of grain crops and large-scale grain storage became an important means of preparing for famine and war. [ABSTRACT FROM AUTHOR]

Aims: The surface crust formed by the drop impact of rainfall and/or irrigation is a prevalent characteristic in many Mediterranean soils. However, the temporal variation of soil hydraulic properties induced by surface crust during the high-frequency irrigation has rarely been investigated. Methods: Beerkan infiltration tests in conjunction with the BEST method were used to investigate the effects of surface crusting on the spatio-temporal variation of saturated soil hydraulic conductivity (Ks, mm s−1), sorptivity (S, mm s−0.5), mean pore size (r, mm), number of effective pores per unit area (N, m−2) in Agramunt, NE Spain. Results: In response to autumn tillage, intensive tillage (IT) increased Ks and S due to higher r and N, but both declined after 60 days. Reduced tillage (RT), maintained comparable Ks and S values, despite having a lower N value. After the spring tillage, both IT and RT developed crusted layers, resulting in decreased Ks, S and N. Long-term no-tillage (NT) showed an increasing trend of Ks and S over time, except for the last sampling. Spatial variation (i.e., between the rows, B-row vs. within the row of crops, W-row) of Ks and S was found, and non-crusted soils (W-row) had consistently higher Ks and S than crusted soils (B-row). Conclusions: Conservation tillage i.e., RT and NT improve the surface soil structure and reduce the risk of crust development. Surface cover by crops may help to prevent crust formation within the row of crops, improving soil hydraulic conductivity. [ABSTRACT FROM AUTHOR]

Agricultural landscapes are currently suffering and generating severe ecological issues. This is especially true in intensively managed alluvial contexts, where biodiversity is declining and ecosystem services (ES) delivery capacity is being depleted. The aim of our study is to set up and test a synthetic analytical methodology that allows us to: understand current agricultural landscape ecological quality drivers (structural and functional traits); identify context-specific strategies to correct current negative trends (landscape ecology design approach); and assess the changes in the landscape ecological behavior provided by design scenarios. The applied methodology is low-cost and low-time-demanding and is based on multi-scale landscape ecology and land-use-based ES assessment; it implements a pattern-process-design approach. Analyses are applied to four northern Italian alluvial agricultural landscape systems. We specifically address landscape biodiversity support functions (landscape ecology indicators) and landscape multifunctionality (ES spatial assessment). We test the agroforestry approach (landscape feature insertions and crop diversification) as a key strategy to enhance ecological quality and ES, and we account for its contributions to context-specific design scenarios. This analytical toolkit might serve for future applications on similar case studies. [ABSTRACT FROM AUTHOR]

Rice based cropping systems are the most predominantly grown systems in India contributing a major share to India's food grain production. However, systems i.e., rice-rice and rice-wheat brought us second generation sustainability issues over long run. Cowpea being a multi-role legume crop can be considered for the intensification of rice-based system with limited resources and its residue having lower C:N ratio can easily decompose in soil and enhance soil fertility. Following experiment was conducted at Institutional Research Farm, ICAR-National Rice Research Institute, Cuttack, Odisha during kharif, rabi and summer season during 2017-18 and 2018-19. The treatments were laid out in split plot design and consisted of three replications. The main plot consisted of two rice-based cropping systems i.e., rice-maize-cowpea (R-M-C) and rice-groundnut-cowpea (R-G-C), sub-plots consisted of five nutrient and residue management practices i.e., C-C-C, R-R-R, RI+R75-R-R, RI+R75-SM+R-R and RI+R75-SM+R-R50. The pooled value for the season 2017-18 and 2018-19 revealed that, RI+R75-SM+R-R and RI+R75-SM+R-R50 resulted higher yield i.e., pod yield, seed yield, stover yield, HI, nutrient content, nutrient uptake, economic return i.e., gross return, net return and B:C ratio, higher CH4 flux and lower N2O flux than R-R-R. Between two cropping systems, R-M-C cropping system recorded highest yield and is more feasible to take over R-G-C. Among nutrient management, RI+R75-SM+R-R recorded higher growth and yield but due to consistent residue retention and incorporation, even if using 50% of recommended dose of fertilizer in cowpea i.e., RI+R75-SM+R-R50 recorded similar growth, yield, economic return, and even higher B:C ratio than RI+R75-SM+R-R and recommended. Cowpea residue incorporation and 25% reduced dose of chemical fertilizer application in rice crop, rice straw mulch in rabi maize and 50% reduction in chemical fertilizer application in summer cowpea (RI+R75-SM+R-R50) received highest cowpea yield, and economic return and this system-based nutrient management should be recommended in R-M-C cropping system. [ABSTRACT FROM AUTHOR]

This study evaluated the effects of partial biofertilization with Azolla filiculoides Lam. on growth, photosynthetic rate, bulb quality, and yield in Allium sativum L. cultivars 'Chinese' and 'Napuri' in Punta de Bombón, Arequipa, Peru (2018-2019). The research involved two experiments: one under monoculture with partial biofertilization + 1/2NPK (PBM) and conventional NPK fertilization (CFM), and the other in intercropping with maize (Zea mays), using both partial biofertilization + 1/2NPK (PBI) and conventional fertilization (CFI). Results showed that partial biofertilization outperformed conventional fertilization in monoculture settings. The 'Chinese' cultivar exhibited superior root, leaf, and bulb growth under partial fertilization, whereas 'Napuri' excelled in bulb quality components like dry weight, diameter, and clove number. Photosynthesis peaked at 82 days after sowing (DAS) for 'Chinese' and 112 DAS for 'Napuri'. In terms of yield, 'Chinese' outperformed 'Napuri' in both monoculture and intercropping, with the highest yield recorded in 2019 (12641 kg/ha for 'Chinese' and 9597 kg/ha for 'Napuri'). These findings suggest that combining chemical and organic fertilizers, along with crop diversification, can sustain high yields while being environmentally friendly. [ABSTRACT FROM AUTHOR]

Crop diversification and the reduction of nitrogen (N) inputs are key issues in the EU for more sustainable agriculture. An experiment was set up in a semiarid rainfed Mediterranean system. Our hypothesis was that these challenges could be addressed by introducing new crops and using pig slurries (PSs). The experimental factors were N fertilization at sowing (with or without PS) combined (according to a split-block design) with N fertilization as topdressing (the control, two N mineral rates, and two N rates from PS). Barley, rapeseed, and pea performances were evaluated in two different crop sequences: (i) barley–rapeseed or rapeseed–barley after a fallow season, and (ii) barley–pea or pea–barley after a fallow season followed by a non-fertilized barley crop. The results of the four-year study demonstrated that under a spring drought risk, barley performed better than peas in terms of relative crop yield maintenance. After fallow, N can be saved while maintaining the yields and total biomass of barley and rapeseed. In the second crop sequence, maximum pea and barley yields were associated with a minimum topdressing of 60 or 120 kg mineral N ha−1, respectively. However, slurry fertilization at sowing also allowed the highest yields for barley. Rapeseed and peas can be introduced to reduce N fertilization inputs. However, the obtained yield plateau for pea and rapeseed (3 and 4 Mg ha−1, respectively) and the effect of a yield spring drought on pea yields (50% reduction) might be a constraint for the success of EU policies on crop diversification. [ABSTRACT FROM AUTHOR]

Crop diversification is a potential strategy that farmers can employ to address household food insecurity and low farm incomes. Smallholder coffee farmers face low and insufficient levels of crop diversification in Kirinyaga East and Central SubCounties, Kirinyaga County, Kenya. This study examines those factors that influence household decisions to diversify crops and further attempts to analyze the factors that influence the extent to which diversification takes place among smallholder coffee farmers. The study was guided by utility theory and used a descriptive survey design. Structured questionnaires were used to collect the survey data and a sample size of 408 smallholder farmers was chosen using multistage sampling procedure. The crop diversification index was 0.390 on average. Cragg’s double-hurdle model findings at the first stage of the model revealed that there was a positive and significant relationship at p < 0.05 between access to extension services (6.5%) and land size (8.8%) on the probability of the farmer participating in crop diversification. The extent of crop diversification was positively and significantly associated with land size (6.7%), where (p < 0.05), while gender (5.3%) had a negative influence. Farmers should be encouraged to diversify their crops to maximize land productivity through increased crop yields. Finally, the findings suggest that the government should allocate resources to supplement existing extension programs and policies that improve skills and knowledge of farmers concerning crop diversification. [ABSTRACT FROM AUTHOR]

Background: The key focus of crop diversification is the selection of compatible crops for increasing biodiversity, efficient use of resources and enhancing system productivity. Monocropped coconut gardens provide ample scope for crop diversification through the inclusion of several crops as intercrops. The present study was conducted to assess the feasibility of intercropping maize, finger millet, black gram and green gram in coconut garden. Methods: Field experiments were conducted during two consecutive summer seasons to assess the suitability of maize, finger millet, black gram and green gram as intercrops in coconut garden. Result: The present investigation revealed that maize (cereal) and finger millet (millet) were suitable as intercrops in coconut garden. The adaptability of the tested crops and system productivity were assessed and discussed. On the whole, the nutrient balance sheet revealed the importance of soil test based nutrient management for intercropping in coconut garden. [ABSTRACT FROM AUTHOR]

Conservation agriculture (CA) is a set of principles thought to be able to enhance crop productivity while minimizing impacts on the environment. The evidence base for CA can be challenging to synthesize because it encompasses many different practices and social and agroecological outcomes. To facilitate synthesis of CA evidence we have created a dataset organizing 218 response variables from five common categories of CA: cover crops, tillage management, pest management, nutrient management, and crop diversification. These data cover the Midwestern United States (U.S.) from 1980–2020. The dataset is also summarized and visualized on the AgEvidence website, which enables users to interactively explore, filter, and download data. We hope this dataset will help a wide variety of stakeholders, including researchers, policy makers, advocacy groups, and growers access the evidence needed to make informed and impactful decisions about how to produce food with less negative environmental impact. [ABSTRACT FROM AUTHOR]

In Ethiopia, on-farm agrobiodiversity and the Productive Safety Net Program (PSNP) play a key role in building smallholders' resilience. However, the impact of PSNP on on-farm agrobiodiversity is not yet well investigated. In this paper, we develop an analytical framework that links PSNP participation to on-farm agrobiodiversity. Both diverse farming systems and PSNP require labour inputs while providing income stabilization, which might result in a negative relationship between the two. Conversely, higher income from PSNP might allow farmers to increase their long-term on-farm investments, as opposed to the strategies oriented toward the highest immediate profit or calorie intake outcome. We base our empirical analysis on the World Bank's Ethiopian Socioeconomic Survey, a panel dataset encompassing nearly 3000 respondents and a Tobit model, based on Difference-in-Difference and the Propensity-Score Matching methods. We find that Ethiopia's PSNP has a negative impact on farm labour input, both in terms of labour intensity and duration. Furthermore, our results show that participation in the program is associated, on average, with lower on-farm crop diversity. We conclude that the PSNP participation may be crowding-out production stabilizing farming activities, such as intercropping or cover cropping, that are more labour intensive. Our findings call for embedding tools in the new phase of the PSNP (2021–2025) that could incentivise on-farm resilience-oriented investments, in particular leading to higher crop diversification. [ABSTRACT FROM AUTHOR]

Bangladesh’s agriculture is highly rice-centric. Although economically rational, this is also risky, and arguably unsustainable. As a result, there is increasing interest in crop diversification (CD). This study examines the policy environment and the implementation of projects promoting CD in Bangladesh from 1971 to the present. An integrated analytical framework, developed by the International Wheat and Maize Improvement Center (CIMMYT) was used. Despite numerous policies and projects aimed at promoting CD, progress remains limited due to historical biases and various challenges. This research identifies a significant gap in existing approaches, which primarily focus on production aspects while neglecting market systems for new crops. Additionally, inadequate coordination among government agencies has impacted the effectiveness of projects implemented by development partners. The study highlights that CD efforts have been largely project-driven and short-lived, emphasizing the need for mainstreaming CD with dedicated annual funding to ensure long-term sustainability. Key challenges in funding, market development, and implementation are identified. The study recommends mainstreaming CD through annual budgets and enhancing market linkages. Furthermore, it provides actionable guidelines for policymakers and practitioners to effectively promote and sustain crop diversification in Bangladesh’s agriculture.

South Asiaʼs Eastern Indo-Gangetic Plains (EIGP) is home to approximately 450 million people. This region is characterized by the highest global concentration of rural poverty and a predominant reliance on agriculture for nutritional sustenance and economic livelihoods. Agriculture in the EIGP is highly cereal-centric, making crop diversification indispensable for its development. This data article is part of the research conducted by an interdisciplinary team of researchers analysing the status and determinants of crop diversification in South Asiaʼs EIGP. The data presented here were collected from 1,400 farm households across 72 communities in eight locations within the EIGP of India, Nepal, and Bangladesh during the year 2023. The research employed a simple random sampling method for empirical data collection. The primary agricultural decision-makers were given a tailored questionnaire comprising seven modules. These modules sought comprehensive data on livelihood practices, changes in agriculture, aspirations, diet, food security, mechanization, demographics, and asset ownership. The questionnaire was translated from English into Nepali and Bangla to facilitate a thorough understanding of the farmers' livelihoods in the study areas. The survey successfully ended with 1400 properly filled and captured questionnaires, which was quite representative. The cross-sectional data presented here describe location-specific farm-level crop distribution, enabling the analysis of geographic variations in crop diversification. The generation of this dataset addresses a significant gap in the availability of information on the current state of crop diversification in the EIGP, offering a foundational baseline for future research and interventions by regional governments and development partners. We employed the Herfindahl–Hirschman Index (HHI) to calculate crop diversification and a Tobit Regression Model to identify the region-specific determinants of crop diversification. The dataset is hereby made available as it is considered vital for regional policy and practical recommendations.

Push-pull technology is a companion cropping system whose success in soil fertility improvement and management of agricultural pests has been established in cereal-based systems. Push-pull has also been proposed as a template for the sustainable intensification of agriculture in Africa. However, the application of the technology has remained on a field scale and is restricted to cereal-based systems. Trees in agricultural landscapes are considered a strategy for climate change mitigation by storing carbon in soils and woody biomass. However, their potential has not been quantified in push-pull systems. This study characterized 45 smallholder farms in western Kenya to establish the land use categories within which push-pull is integrated, the diversity and structure of perennials on the farms, and the aboveground carbon stored within those farms. The area of each land use category varied depending on the size of the land use category on each farm. The amount of carbon stored in aboveground biomass was estimated using an existing allometric equation. This study found that trees are integrated on farms with push-pull in homesteads (45), cropland (38), woodlots (26), boundaries (4), and grazing land (2) farms. A total of 9159 trees from 97 different species were recorded over 34 ha. Farms in Vihiga and Kisumu had more trees (38 % and 37 % of all trees recorded) than those in Siaya (25 %). There were more trees in woodlots (total=4518) and homesteads (total=3327), and the least in grazing land (total=18). Overall, the highest species richness, Shannon, and Simpson diversity were observed in the homestead (86 species, H’=2.52 and D = 0.86). Farms in Kisumu, Vihiga, and Siaya stocked an average of 12.1, 9.4, and 7.3 Mg C ha−1 in aboveground biomass respectively. Variations were observed in land use categories, where woodlots had the greatest amount of carbon (55.5 Mg C ha−1) while grazing land had the least (2.4 Mg C ha−1). Eucalyptus spp., Grevillea robusta, and Markhamia lutea were the most dominant trees in abundance at 50 %, 16 %, and 11 % respectively. Conservation of trees on farms should be encouraged, as they protect biodiversity and store carbon thus contributing to climate change mitigation. This study's findings contribute to knowledge valuable to farmers and policymakers in making decisions on tree species and land use categories that have a high potential to sequester carbon in agroforestry systems.