Wheat Production Systems Research Articles

Winter Wheat Response to Winter Pea Cover Crop Under Dryland Cropping

AbstractCover cropping with legumes such as winter peas under dryland winter wheat production systems has several benefits that could improve the resiliency of production systems and agroecosystem services. This article demonstrates the use of winter pea cover crops to increase winter wheat yields in the intermediate (12–16 inch) rainfall zone and to improve drought resiliency. Earn 0.5 CEUs in Crop Management by reading the article and taking the quiz at https://web.sciencesocieties.org/Learning‐Center/Courses.

Field Test of Cyanobacteria as Biofertilizer for the Cultivation of Triticum Aestivum (Wheat) Plant

Wheat is rich in carbohydrates, Protein and essential Vitamins and Minerals such Vitamins B and E, Calcium and Iron, as well as fiber. Wheat is an important cereal crop in achieving global Food security. It is cultivated worldwide and is second highest in production. Wheat production is affected mainly by biotic and abiotic stresses all over the world. Maximum yield of wheat can be attained over balanced consumption of all plant nutrient resources. In recent past due to increased cost of chemical fertilizer and with moto of tumbling environmental pollution, creation of amplified awareness on the use of organic sources with bio-fertilizers which are the sources of macro, micro and secondary nutrients to endure both the soil fertility and productivity. The combined nutrient supply contemplates to collective use of inorganic and organic sources of plant nutrient and bio-fertilizers for crop productivity apart from keeping up inspiring soil health. Since past few years, bio-fertilizers like Azotobacter, PSB, (Phosphate solubilizing bacteria). Azospirillum and liquid bio-fertilizers have shown fabulous potential to improve yield of wheat as these are eco-friendly and low-cost agriculture inputs. Managing Nitrogen inputs in wheat production systems is a significant issue in order to attain maximum profitable production, and minimum negative environmental influence. Wheat production can be enhanced to two to three fold by implementing the cyanobacteria based bio fertilizer. Current study indicates a boost in crop growth, height, thickness of stem, increase in number of grain pods and quantity.

Identification of drought tolerant wheat (Triticum aestivum) genotypes using stress tolerance indices in the western terai region of Nepal

Drought is the leading abiotic factor influencing global wheat production. To evaluate the drought performance of wheat genotypes, it is essential to identify and employ stress tolerance indices. These indices are essential for evaluating variation among genotypes in their response to drought, ultimately contributing to the development of more resilient and sustainable wheat production systems worldwide.. Thus, a field experiment was conducted in alpha lattice design with twenty genotypes including three checks viz., Bhrikuti, Gautam, and RR 21 at Institute of Agriculture and Animal Science (IAAS), Paklihawa Campus, Rupandehi, Nepal, under irrigated and drought conditions, to identify drought tolerance wheat in winter season of 2022. In irrigated condition, five irrigations were applied at different critical growth stages. Whereas in drought conditions, only initial irrigation was applied after field preparation, for the germination of seed, and a poly house was constructed, to restrict all forms of natural precipitation. Genotypes were harvested when they attained harvestable maturity, grain yield was recorded, and stress tolerance indices were calculated. The mean grain yield reduction was 86.88 % in drought condition. Correlation analysis showed that Yield under Stress conditions (Ys) had a significant positive correlation with Yield Stability Index (YSI)(0.911**), Geometric Mean Productivity (GMP)(0.918**), and Stress Tolerant Index (STI)(0.911**). Thus, YSI, GMP, and STI are the important stress tolerance indices considered while selecting drought tolerance genotypes. Principal component and biplot analysis revealed that Bhrikuti, BL 5116, NL 1447, NL 1508, and Gautam were stable and high-yielding drought tolerant wheat genotypes.

Deciphering the role of phosphorus management under conservation agriculture based wheat production system

Phosphorus (P) is a vital element required by all living organism (plants, animals and microbes etc.). Its application in agriculture, whether in conventional or conservation agriculture, requires careful attention due to its low use efficiency, which typically does not exceed 20%. With the increasing acceptance of conservation agriculture (CA), it is crucial to develop protocols for P management to ensure sustainable wheat production. Therefore, a field trial was conducted from 2016–2017 to 2017–2018 in the India's semiarid eco-region to study the role of P on wheat productivity, quality, and resource use efficiency under CA-based production system. We assessed the impact of tillage operations and P management practices on wheat productivity, quality, and resource use efficiency. Three tillage and residue management options such as CT-R (conventional tillage without residue); NT-R (no tillage without maize residue) and NT + R (no tillage with maize residue @ 2.5 Mg ha−1) were laid-out in main plot and five P management options subplots viz. P1 (nitrogen and potash according to recommended but not P); P2 (17.2 kg P ha−1); P3 (17.2 kg of P ha−1 + microbial fertilizer); P4 (17.2 kg P ha−1 + compost inoculant culture) and P5 (34.4 kg P ha−1) in split plot design with three replicates. The results indicates that the combination of no-tillage with residue retention (maize residue @ 2.5 Mg ha−1) (NT + R) and the application of 34.4 kg P ha−1 (P5) significantly improved grain yield by ~43.2% compared to the control treatment (conventional tillage with no residue, CT – R, and no phosphorus application). NT + R also resulted in significantly better amino acid (~22.7%) and net protein yield (~21.2%) compared to CT – R. Regarding the P management strategy, the highest amino acid (49.1%) and protein yield (12.5%) were observed under the P5 treatment compared to the no-phosphorus treatment. Conjoint use of NT – R, along with the application of 17.2 kg P ha−1 and PSB (Phosphorus Solubilizing Bacteria), resulted in a significant increase in energy use efficiency of ~58% over other treatments combination. Furthermore, the NT + R plot that received 17.2 kg P ha−1 + PSB demonstrated higher P agronomic efficiency (~43%) and recovery efficiency (~53%) over control. The study's findings underscore the significance of adopting efficient P management strategies in CA to ensure the sustainable production of wheat.

Improving Crop Health, Performance, and Quality in Organic Spring Wheat Production: The Need to Understand Interactions between Pedoclimatic Conditions, Variety, and Fertilization

Organic wheat production systems have lower yields compared with intensive conventional production and often do not achieve the grain protein content and quality thresholds set by millers and bakers. In contrast, organic production methods were reported to result in higher concentrations of nutritionally desirable micronutrients and lower concentrations of the toxic metal Cd in wheat grain and wholegrain flour. However, although N-availability and variety characteristics are known to affect both gain yields and bread-making quality, the exact reasons for the yield gap and differences in grain processing and nutritional quality between organic and conventional spring wheat production in the UK are poorly understood. The overall aim of this study was therefore to determine to what extent changes in variety choice and fertilization regimes may reduce the yield gap and improve processing quality without affecting nutritional quality in organic spring wheat production. To achieve this aim, we compared crop health, yield, grain processing, and nutritional quality parameters in spring wheat produced using (i) six contrasting spring wheat varieties grown with a standard fertilization regime and (ii) one variety widely used by organic farmers (Paragon) with nine different fertilization regimes in (iii) three UK sites/farms with contrasting pedoclimatic conditions. Significant differences in foliar disease severity, grain yield, and quality parameters were detected between six contrasting spring wheat varieties when grown under organic management regimes. Specifically, the varieties Paragon and Tybalt were identified as the best-performing varieties with respect to foliar disease resistance and grain yield under organic farming conditions and also produced high processing and nutritional quality across the three UK sites. However, the highest grain yields were obtained by Paragon at the Gilchester site and Tybalt at the Sheepdrove and Courtyard sites, while the highest protein contents were produced by Tybalt at the Gilchester site and Paragon at the Sheepdrove and Courtyard sites, which suggests that there is a need for site-specific wheat variety selection in the UK organic sector. Although organic fertilizer input type and level also affected wheat performance, differences between fertilization regimes were smaller than those observed between the five contrasting varieties, which suggests that improvements in spring wheat breeding/selection have a greater potential for increasing crop yield and quality in the organic sector compared with changes to fertilization practices. Overall, results suggest it is feasible to breed/select spring wheat varieties that combine high protein, vitamin E, and micronutrients with low toxic metal (Cd, Pb) concentrations when produced under organic farming conditions. These findings also support the hypothesis that differences in variety choice by organic and conventional farmers have contributed to the differences in nutritional quality between organic and conventional wheat products reported in previous studies.

Sustainability of a Rainfed Wheat Production System in Relation to Water and Nitrogen Dynamics in the Soil in the Eyre Peninsula, South Australia

Rainfed wheat production systems are usually characterized by low-fertility soils and frequent droughts, creating an unfavorable environment for sustainable crop production. In this study, we used a processed-based biophysical numerical model to evaluate the water balance and nitrogen (N) dynamics in soils under rainfed wheat cultivation at low (219 mm, Pygery) and medium rainfall (392 mm, Yeelanna) sites in south Australia over the two seasons. Estimated evapotranspiration components and N partitioning data were used to calibrate and validate the model and to compute wheat’s water and N use efficiency. There was a large disparity in the estimated water balance components at the two sites. Plant water uptake accounted for 40–50% of rainfall, more at the low rainfall site. In contrast, leaching losses of up to 25% of seasonal rainfall at the medium rainfall site (Yeelanna) indicate a significant amount of water evading the root zone. The model-predicted N partitioning revealed that ammonia–nitrogen (NH4–N) contributed little to plant N nutrition, and its concentration in the soil remained below 2 ppm throughout the crop season except immediately after the NH4–N-based fertilizer application. Nitrate–nitrogen (NO3–N) contributed to most N uptake during both seasons at both locations. The N losses from the soil at the medium rainfall site (3.5–20.5 kg ha−1) were mainly attributed to NH4–N volatilization (Nv) and NO3–N leaching (NL) below the crop root zone. Water productivity (8–40 kg ha−1 mm−1) and N use efficiency (31–41 kg kg−1) showed immense variability induced by climate, water availability, and N dynamics in the soil. These results suggest that combining water balance and N modeling can help manage N applications to optimize wheat production and minimize N losses in rainfed agriculture.

The effect of silicon fertilizers on agronomic performance of bread wheat under drought stress and non‐stress conditions

AbstractDrought is one of the major constraints of wheat production, especially in rainfed wheat production systems. The objective of this study was to evaluate the effects of different silicon fertilizer formulations on the agronomic performance of diverse wheat genotypes under drought‐stressed conditions. Twenty wheat genotypes were evaluated in field and greenhouse environments under non‐stressed and drought‐stressed and two silicon fertilizer formulations (granular and liquid potassium silicate) and untreated control. The four‐way interaction involving genotype, environment, water regime and silicon formulation had a significant effect (p < .05) for aboveground biomass, productive spike number, hundred seed weight and grain yield. Granular silicon application was the most effective treatment both under non‐stressed and drought‐stressed conditions compared to the liquid and control treatments. Under field and drought conditions, the highest yielding genotype was MC18, which exhibited a mean grain yield of 4.17 t ha−1 with granular silicon, 2.56 t ha−1 with liquid silicon and 2.18 t ha−1 without silicon. The yield of genotype MC18 improved by 91.3% using granular silicon under drought‐stressed and by 44.6% under non‐stressed conditions compared with the untreated control. Granular silicon positively affected the drought stress tolerance indices compared to the liquid silicon and untreated control. The principal component biplot analysis revealed that liquid and granular silicon positively impact yield response for all test genotypes under drought‐stressed and non‐stressed conditions compared with the control. Silicon application reduced genotype variation for agronomic traits and enhanced agronomic trait relationships under drought‐stressed conditions. Drought stress tolerance indices are influenced by silicon application. The effect of silicon has a direct and indirect effect on yield and yield components. Silicon fertilization can be considered as a mitigation measure to cope with the adverse effect of drought stress on wheat.

Dynamic Analysis of the Carbon Footprint in Winter Wheat Production Based on Lifecycle Assessment and the LMDI Model: A Case Study of Jiangsu Province in China

This study applies the lifecycle assessment (LCA) to quantify the carbon footprint within the winter wheat production system in Jiangsu Province during 2011–2020. Additionally, the study employs the Logarithmic Mean Division Index (LMDI) to analyze the driving factors behind its changes. The results show that (1) the greenhouse gas emissions from wheat production in the region increased from 4837.8 kgCO2-eq/hm2 to 5701.1 kgCO2-eq/hm2 with an annual average increase of 95.9 kgCO2-eq/hm2; (2) the primary carbon sequestration method for wheat production in Jiangsu Province is straw returning; (3) the carbon footprint of wheat at yield scale and value scale generally increased during the period, whereas the carbon footprint at cost scale decreased over the years; (4) the driving factors effects’ cumulative contribution rates are as follows: economic level > population size > employment structure > production structure > production efficiency. This research explores the dynamic changes and driving factors influencing the carbon footprint associated with winter wheat production in Jiangsu Province, which could provide theoretical references for the future clean production of winter wheat.

Effect of wood gasification biochar on soil physicochemical properties and enzyme activities, and on crop yield in a wheat-production system with sub-alkaline soil

Biochar may have beneficial effects on soil depending on its properties and pedoclimatic conditions. Highly sloping soils are prone to erosion and organic matter depletion, and biochar can be useful to restore soil fertility and quality, and crop yields. To test the effect of wood gasification biochar (WGB), we conducted a field experiment applying 0 and 60 Mg ha−1 of WGB only (no fertilizer) to a sub-alkaline and fine-textured soil under Mediterranean climate conditions. The effect of WGB on the soil physicochemical properties and on 12 enzyme activities involved in the C, N, P, and S cycles was monitored during a wheat-growing season along with its effect on grain yield. The results show that WGB was rather recalcitrant, and the application of a high dose of it had no effect on most of the soil physicochemical properties, enzyme activities and wheat grain yield. Since enzyme activities involved in the C cycle were similar in WGB-treated and not-treated soils, WGB failed to stimulate organic matter mineralization during the monitored period, with no contribution to N and P supply. Since WGB can contribute to soil C stock with no detrimental effects on wheat yield, wood gasification can allow recycling waste woody materials of urban origin to produce energy and return biochar back to agricultural soils. We suggest that future studies on WGB focus on the effect of its aging in soil on soil physicochemical and biochemical properties, and on crop performances.

Improving Energy Efficiency and Greenhouse Gas Emissions in Small Farm Wheat Production Scenarios Using Data Envelopment Analysis

Assessing the energy cycle and greenhouse gas (GHG) emissions of wheat production in small Egyptian farms is essential to improve wheat productivity to meet population growth and achieve sustainable development. This study aims to compare wheat production in terms of energy use and GHG emissions for different scenarios in the Delta of Egypt and to use Data Envelopment Analysis (DEA) to optimize the wheat production system. Three common scenarios of the wheat production system (S-I, S-II, and S-III) from old lands with one scenario (S-IV) from newly reclaimed land were included in the study. Data were collected from small farmers through a face-to-face questionnaire and interviews in 2022–2023. The results showed that the third scenario (S-III) in the old lands had the lowest input energy consumption (42,555 MJ ha−1) and the highest output energy (160,418 MJ ha−1), with an energy use efficiency of 3.770. In comparison, the input and output energy for the newly reclaimed scenario (S-IV) were 37,575 and 130,581 MJ ha−1, respectively, with an energy use efficiency of 3.475. S-III was an optimum scenario due to its high energy indicators, such as energy productivity of 0.173 kg MJ−1. The total GHG emissions of S-III were the lowest in old lands with a value of 1432.9 kg CO2-eq ha−1, while S-IV had 1290.2 kg CO2-eq ha−1. The highest GHG emissions input was diesel fuel for machinery and irrigation, followed by manure, chemical fertilizers, and agricultural machinery use. Using mechanization in most farming operations for S-III and S-IV led to decreased losses of agricultural inputs with increasing outputs (yield and straw). Therefore, using them in wheat farming practices is recommended to increase the wheat farming system’s energy efficiency and GHG emissions.

Wheat Water Ecophysiology: A Review on Recent Developments

With exceptional tolerance to a wide range of climatic circumstances, from temperate to desert, and from warm to cold regions; wheat (Triticum aestivum L.) is an important food crop on a worldwide scale. This flexibility is linked to the crop's highly flexible DNA (Deoxyribonucleic acid), which is complicated in nature. The impacts of climate change and other stresses on wheat ecophysiology and productivity remain topics of concern despite our very thorough knowledge of wheat physiology, growth, and development. This study emphasizes the implementation of new information in breeding and crop management techniques while concentrating especially on the ecophysiology of water usage in wheat plants. The focus is on comprehending physiological processes at the level of the whole plant and organ, giving breeders and agronomist insightful information. Where necessary to explain physiological responses seen at higher organizational levels, cellular-level explanations are presented. Various topics, including wheat physiology, ecological interactions, and yield determination, are covered in this review that emphasizes recent developments in our knowledge of yield production. The knowledge gathered from this study may be used to help build crop production systems that maximize yield potential. Additionally, this study offers physiological and ecological methods for creating wheat production systems that are high-yielding, resource-efficient, and quality-focused. Although there is a wealth of information on wheat physiology that directly aids agronomists and breeders, more research is needed to fully grasp yield under stress. However, using already available physiological information provides encouraging potential for further development. The review prioritizes yield and yield-forming processes because they have the biggest potential impact on global wheat production, even though other factors like lodging resistance, growth regulator application, weed competition, soil mechanical impedance, and nutrient imbalances are not covered.

Long-Term Tillage and Crop Rotation Regimes Reshape Soil-Borne Oomycete Communities in Soybean, Corn, and Wheat Production Systems.

Soil-borne oomycetes include devastating plant pathogens that cause substantial losses in the agricultural sector. To better manage this important group of pathogens, it is critical to understand how they respond to common agricultural practices, such as tillage and crop rotation. Here, a long-term field experiment was established using a split-plot design with tillage as the main plot factor (conventional tillage (CT) vs. no till (NT), two levels) and rotation as the subplot factor (monocultures of soybean, corn, or wheat, and corn-soybean-wheat rotation, four levels). Post-harvest soil oomycete communities were characterized over three consecutive years (2016-2018) by metabarcoding the Internal Transcribed Spacer 1 (ITS1) region. The community contained 292 amplicon sequence variants (ASVs) and was dominated by Globisporangium spp. (85.1% in abundance, 203 ASV) and Pythium spp. (10.4%, 51 ASV). NT decreased diversity and community compositional structure heterogeneity, while crop rotation only affected the community structure under CT. The interaction effects of tillage and rotation on most oomycetes species accentuated the complexity of managing these pathogens. Soil and crop health represented by soybean seedling vitality was lowest in soils under CT cultivating soybean or corn, while the grain yield of the three crops responded differently to tillage and crop rotation regimes.

Assessment of Wheat Production and Marketing Systems in East Hararghe Zone of Oromia Region, Ethiopia

Assessment of Wheat Production and Marketing Systems in East Hararghe Zone of Oromia Region, Ethiopia

Integrated impacts of irrigation and nitrogen management for balancing winter wheat yield and greenhouse gas emissions

Irrigation and nitrogen (N) input are effective methods of balancing crop yields and greenhouse gas (GHG) emissions. However, the effects of irrigation and N management on the GHG emission of winter wheat production systems have not yet been well documented. Therefore, we conducted 2-year field experiments on winter wheat and studied the effects of irrigation and N reduction/replacement on GHG emissions, grain yield, global warming potential (GWP), and GHG emission intensity (GHGI). The winter wheat was irrigated once or twice with 60 or 90 ​mm each time. Five N reduction/replacement treatments were no N application (CK), 25% traditional urea (U) reduction (75%U), traditional U (U), 25% reduction in polymer-coated U (PCU), and 25% reduction in traditional U combined with organic fertilizers (U ​+ ​OM). The results indicated that N reduction/replacement significantly reduced N2O emissions, but had no significant effect on CH4 emissions. Soil water-filled pore space was the same key factor affecting the emission fluxes of N2O and CH4. Soil temperature significantly affected the fluxes of CH4 (P ​< ​0.001). Irrigation treatment did not exhibit a significant effect on grain yield, but high irrigation input increased the GWP and GHGI. Compared with U, the grain yield of CK, 75%U, PCU, and U ​+ ​OM increased by −46%, −9.2%, −1.8%, and 5.4%, respectively; GWP decreased by 35.9%, 11.6%, 7.3%, and 2.7%, respectively; and GHGI decreased by −22.1%, 3.1%, 6.0%, and 8.0%, respectively. Therefore, sustainable production goals of increasing grain yield and reducing GHG emissions were achieved with N reduction/replacement using U + OM and low irrigation input of 60 ​mm.

Use of life cycle assessment and modeling techniques for prediction of energy-environmental indicators in different wheat production systems

This study was conducted to analyze and model the energy consumption and environmental indicators for different wheat production systems in Qazvin province. Information needed for this study, related to 2021–2022, data was collected by monitoring machinery, and inputs during wheat production were interviewed by farmers and filled out questionnaires. The purpose of this study includes: (1) estimating the fuel consumption and energy of inputs in different wheat production systems, (2) estimating the environmental impact associated with input consumption using life cycle assessment (LCA), and (3) providing suggestions for optimization. The results showed wheat production in irrigated conservation tillage system has energy ratio (2.12) and energy productivity (0.18 kg MJ−1) suitable compared to conventional irrigated and rainfed tillage, and conservation rainfed tillage. Nitrogen fertilizer (55%–68%) and fuel consumption (15%–31%) of affect the energy consumption of four wheat cultivation systems. Three categories of damage to human health, ecosystem and resources in LCA were using the ReCiPe2016 method. Resource damage category for conventional tillage irrigation (76.05 USD2013) has significant pollution. The share of seed emissions, On-Farm emissions and nitrogen emissions affect the categories of damage to human health, ecosystems and resources, respectively. The results of the Cobb-Douglas model showed that T3 (fertilization and weed control) was significant at the level of 1% among other inputs. T1 (chisel packer roller), T2 (planting) and T4 (harvest and straw packaging) were significant at 5% level. The results of artificial neural network (ANN) of conventional rainfed cultivation showed that 6 input layers, 7 hidden layers with 10 hidden neurons and 1 output parameter were selected as the best structure. R2 and RMSE for fuel consumption were 0.95 and 43.65, respectively. As a result, the ANN results show higher accuracy than the Cobb-Douglas model.

Energy Analysis and Global Warming Potential in Wheat Production Systems in South of Ilam

Energy Analysis and Global Warming Potential in Wheat Production Systems in South of Ilam

Year-Round Production of Cotton and Wheat or Rapeseed Regulated by Different Nitrogen Rates with Crop Straw Returning

Double direct seeding of cotton (with wheat or rapeseed) is a new method for cotton-growing regions in the Yangtze River Basin to adapt to the development of mechanization. It would help to reduce manual labor, optimize the amount of nitrogen fertilizer to be used, reduce the physical and chemical production costs, and improve the benefits of cotton fields. We selected five counties from the major cotton-producing areas of Hubei Province for three consecutive seasons, from winter 2020 to spring 2022. The experimental sites used no tillage with straw returning to the field, double direct seeding, late sowing at high density, and one-time fertilization to study the effects of different nitrogen fertilizer rates on the yield characteristics of cotton, wheat, and rape and calculate the economic benefits of the two cultivation modes under different nitrogen fertilizer input levels through parameters such as land-use efficiency, production efficiency, and profitability. In both cotton–wheat and cotton–rapeseed cropping systems, the number of bolls per plant in cotton was the lowest in the N165 (90 cotton + 75 wheat/rape kg ha−1) treatment. The cotton yield was the highest at N247.5 (135 cotton + 112.5 wheat/rape kg ha−1) in the cotton after the wheat system and N412.5 (225 cotton + 187.5 wheat/rape kg ha−1) in the cotton after the rape system. The yield of wheat and rape increased with the increase in the levels of nitrogen fertilizer, with the N165 treatment showing the lowest values. With an increase in nitrogen fertilizer, the harvest index of wheat first maximized and then started decreasing. The harvest index in wheat was the highest at N247.5 (135 cotton + 112.5 wheat/rape kg ha−1) and N330 (180 cotton + 150 wheat/rape kg ha−1), whereas, in rape, it increased with nitrogen fertilizer application, with the highest value at N495 (270 cotton + 225 wheat/rape kg ha−1). Economically, the expenses and income of both cotton–wheat and cotton–rape systems increased as nitrogen fertilizer increased. The net profit and benefit ratio first increased and then decreased with increasing nitrogen fertilizer, with N247.5 (135 cotton + 112.5 wheat/rape kg ha−1) scoring the maximum values for both of these parameters. The land-use efficiency and production efficiency increased with the increase in nitrogen fertilizer, and the production efficiency of the N165 (90 cotton + 75 wheat/rape) treatment was significantly lower than that of the other four treatments. The profitability increased first and then decreased with the increase in nitrogen fertilizer, with the N247.5 (135 cotton + 112.5 wheat/rape) treatment showing the highest profit. The production cycle of cotton–rape was slightly shorter than that of cotton–wheat, and the system productivity was also lower. The expenses and land-use and production efficiency of the rapeseed system were lower than those of wheat, while the gross income, net profit, and productivity of the cotton–rape system were higher than those of cotton–wheat. The application of nitrogen fertilizer in the cotton–wheat double-cropping system under straw return can achieve the maximum net profit, production ratio, and yield at the low nitrogen level of N247.5, (135 cotton + 112.5 wheat/rape kg ha−1). Due to the price advantage of rape, the net profit, production ratio, and income of the cotton–rape production system are higher than those of the cotton–wheat production system.

When my neighbors matter: Spillover effects in the adoption of large‐scale pesticide‐free wheat production

AbstractWe investigate the spillover effects in farmers’ adoption decisions of a novel pesticide‐free wheat production system. To this end, we exploit the variability and asymmetry in the social ties among neighboring farmers. We find evidence of spillover effects in farmers’ adoption decisions as well as in farm and farmer characteristics. Our results further highlight the importance of accounting for potentially heterogeneous social ties in farmer networks beyond pure measures of spatial proximity: spillover effects are only robust once we account for the strength of social ties through farmers’ stated tendency to consult peers on agricultural decisions. Our findings highlight the relevance of peer influence in the diffusion of sustainable agriculture practices even in contexts of well‐functioned institutions and high interest in environmental protection such as European agriculture. We discuss implications for the design of policies and programs for sustainable agriculture, which are currently in the center of attention in agricultural policymaking.

Compression of input to total output index and environmental impacts of dryland and irrigated wheat production systems

Today, reducing costs, energy, and environmental impacts, in addition to increasing technical performance, are important goals of agriculture and industry sectors. The present study was conducted with the aim of evaluating the status of environmental indicators of the dryland and irrigated wheat production systems. The required information was obtained from 100 wheat production farms through questionnaire method. After calculating the input and outputs, environmental indicators were calculated by life cycle assessment method. A novel index as “input to total output” was formulated to evaluate the efficiency of using/consuming each input in production systems. In average, the values of input to total output index for all inputs in dryland wheat production system were 1.45 times higher than those of the irrigated system. In average, the environmental indicators of the dryland wheat production systems had 1.85 times higher values than those of the irrigated systems. Marine water ecotoxicity was the indicator with highest value for both production systems as 12.33 × 104 and 8.22 × 104 kg 1.4 DB eq and the indicator with lowest value was ozone layer depletion as 3.54 × 10−5 and 1.90 × 10−5 kg CFC −11 eq for dryland and irrigated wheat production systems, respectively. In both production systems, nitrogen had the greeted share in all environmental indicators from 15 to 80 %, except for eutrophication and acidification potential which were mostly affected by emissions of wheat farms.

Genomic analysis, trajectory tracking, and field surveys reveal sources and long-distance dispersal routes of wheat stripe rust pathogen in China

Identifying sources of phytopathogen inoculum and determining their contributions to disease outbreaks are essential for predicting disease development and establishing control strategies. Puccinia striiformis f. sp. tritici (Pst), the causal agent of wheat stripe rust, is an airborne fungal pathogen with rapid virulence variation that threatens wheat production through its long-distance migration. Because of wide variation in geographic features, climatic conditions, and wheat production systems, Pst sources and related dispersal routes in China are largely unclear. In the present study, we performed genomic analyses of 154 Pst isolates from all major wheat-growing regions in China to determine Pst population structure and diversity. Through trajectory tracking, historical migration studies, genetic introgression analyses, and field surveys, we investigated Pst sources and their contributions to wheat stripe rust epidemics. We identified Longnan, the Himalayan region, and the Guizhou Plateau, which contain the highest population genetic diversities, as the Pst sources in China. Pst from Longnan disseminates mainly to eastern Liupan Mountain, the Sichuan Basin, and eastern Qinghai; that from the Himalayan region spreads mainly to the Sichuan Basin and eastern Qinghai; and that from the Guizhou Plateau migrates mainly to the Sichuan Basin and the Central Plain. These findings improve our current understanding of wheat stripe rust epidemics in China and emphasize the need for managing stripe rust on a national scale.