Food and Energy Security最新文献

Boro rice cultivation in the Haor (wetland) environment of northeastern Bangladesh is extremely vulnerable to flash floods. This study examines how flash floods in the Haor region affect crop income and household food consumption. For this research, household-level data were generated from the “Bangladesh Integrated Household Survey (BIHS) 2018-19,” which is a nationwide dataset of 5604 households across 64 districts of the country. However, this paper represents a sample of 428 farm households in six Haor-concentrated districts (Sunamganj, Sylhet, Habiganj, Maulvibazar, Kishoreganj, and Netrakona) of northeastern Bangladesh. These districts were selected based on the climate shock data (damaged Boro land due to flash floods) from the “Yearbook of Agricultural Statistics-2018.” Descriptive results uncover that in 2017, flash floods inundated about one-third of the standing Boro rice lands of Haor farmers. This study employed simultaneous quantile regression, which reveals flash floods extensively decrease crop income. Nevertheless, a male-headed and educated family, a larger farm, and livestock asset availability in the household are the pivotal determinants that protect crop income. Moreover, flash floods negatively impact the consumption of home-produced food, but the consumption of purchased food remains unaffected. Notably, possession of farmlands and livestock assets encourages food consumption from own production, while household access to credit enhances consumption of purchased food. Livestock-raising households could increase their consumption of self-produced food, increase their agricultural income, and be more resilient to climatic shocks. Hence, this study emphasizes the policy intervention that prioritizes the upbringing of livestock assets in farm households. In addition, policy-enhancing farmers' credit access is crucial for smoothing their purchased food consumption and mitigating the adverse effects of climatic events. Therefore, livestock assets and credit availability in farm households are profoundly resilient against the adverse effects of climatic shocks in northeastern Bangladesh.

Seasonal drought and traditional water-fertilizer management limit the increase in the grain yield of summer maize in Southwest China. Drip fertigation mode (HM) can effectively improve crop yields. However, research on drip fertigation has not been conducted in Southwest China. A 2-year field experiment about HM was carried out with the traditional water-fertilizer management mode (FM) as control. The plant densities were 5.25 × 10⁴ plants ha⁻¹ and 8.25 × 10⁴ plants ha⁻¹ in 2022 and 6.00 × 10⁴ plants ha⁻¹ and 9.00 × 10⁴ plants ha⁻¹ in 2023. The effects of HM on the aboveground biomass, leaf area index, yield, and resource utilization rate of summer maize were studied. Compared with the FM treatment, the HM treatment significantly increased the yield (25.18%), aboveground biomass (25.58%), leaf area index (34.87%), and leaf area duration (29.60%). HM optimized the canopy structure with an 11.05% improvement in light transmission at the top and a significant 61.32% increase in cumulative light radiation interception per unit area at the bottom of the canopy. The nitrogen partial factor productivity (NPFP), radiation utilization efficiency (RUE), heat utilization efficiency (HUE), and economic benefits of the HM treatment significantly increased by 39.58%, 49.45%, 25.92%, and 32.53%, respectively. In addition, dense planting increased the irrigation water use efficiency (IWUE) by 14.25%. In summary, drip irrigation combined with water and fertilizer can significantly improve maize grain yield, resource utilization efficiency, and economic benefits by increasing light interception in Southwest China. This study will lay a theoretical foundation for filling the relevant research gap in the region.

Climate-smart agriculture (CSA) is a set of economically and environmentally friendly practices that can address the issues of food security under the new realities of climate change. However, the adoption of these practices among smallholder farmers is still low, especially in developing countries like Ethiopia. Thus, the main objective of this study was to assess the factors determining rural farm households' adoption of CSA practices and their impact on food security in the Sidama region, Ethiopia. Primary data for this study were obtained from a randomly selected sample of 523 households using a pre-tested, structured questionnaire. The collected data were analyzed using descriptive statistics, multivariate probit, and an endogenous switching regression model. The study found that, in the study area, conservation of agriculture is the most popular CSA practice, which is adopted by 96.2% of the adopters, followed by soil fertility management (82.2%), crop diversification (62.3%), small-scale irrigation (47.9%), and crop–livestock integration (40.7%). The multivariate probit model revealed that the sex of the household head, age of the household head, educational level of the household head, extension contact, information on climate change, and distance to the market were identified as determinants for the adoption of CSA practices. Furthermore, the endogenous switching regression model analysis revealed that adoption of CSA practices increased rural farm household food security status. Therefore, this paper suggests that smallholder farmers should incorporate CSA practices to improve their food security.

Climate migrants and their food accessibility are a pressing issue in Bangladesh that has not been adequately addressed in previous studies. This research aimed to examine the food security status and its associated drivers among climate migrant households' residing in urban informal settlements in Khulna city. This study was conducted in three selected wards (12, 21, and 31) known for their urban informal settlements and high concentrations of climate migrants. Data were collected on socioeconomic, demographic, COVID-19 impacts, and the Household Food Insecurity Access Scale using an interview schedule. Descriptive (mean, standard deviation, and percentage) and inferential statistics (chi-square test and binary logit model) were used to analyze the data. The study found a large portion of households to be food insecure (83.3%). Several socio-demographic and economic issues, including the household head's education, occupation, and health, the number of working members, monthly income, savings, debt, and access to a safety net, were identified as significant drivers of food insecurity. Moreover, COVID-19 impacts, considering loss of employment, income, and savings, shortages of daily needs, and price hikes on food items, were identified as the significant contributors to food insecurity. Responsible stakeholders may utilize the outcomes of this study to combat food insecurity and hunger among climate migrants residing in urban informal settlements through necessary policy measures.

Planting green manure to improve cash crop yield and soil health has been widely recognized, and understanding cash crop performance after green manure integration is pivotal for determining its potential to bolster and enhance crop productivity and sustainable production. However, it is unclear whether the effects of different types of green manure on subsequent cash crops are uniform. In order to clarify this issue, we systematically analyzed the effects of green manure types and nitrogen (N) application rates on succeeding cotton agronomic performance, yield, biomass, yield stability, and nutrient uptake. A split-plot experiment with two factors was designed, main factor includes four cover cropping systems monoculture cotton (MC), February orchid/cotton cover cropping (FoC), hairy vetch/cotton cover cropping (HvC), and a mixture of February orchid and hairy vetch/cotton cover cropping (FHC), and sub-main factor include four N application levels (0 (N0), 112.5 (N1), 168.75 (N2), and 225 (N3) kg N ha⁻¹). Results suggests that nonlegume green manure (February orchid) accumulated more biomass, N, P, and K nutrients than the legume green manure (hairy vetch) and green manure mixture. Compared with cotton yield of MC, the FoC, HvC, and FHC system increased by 5.8%, 7.6%, and 15%, respectively. N use efficiency was more significantly influenced by the N application rates than by cropping systems. Specifically, as N application rates increased, N use efficiency decreased under MC, HvC, and FHC systems, while it increased under the FoC system. Additionally, we observed a trade-off between cotton yield and yield stability, with the highest yield stability when cotton yield reached 2633 kg ha⁻¹. This study provides evidence that nonlegume green manure (February orchid) with greater advantages on cotton vegetative organ growth, legume green manure (hairy vetch) can promote nutrient uptake compared to other green manure, while green manure mixture (February orchid and hairy vetch mixture) significantly increased cotton yield and yield stability. These findings provide evidence-based insights highlighting the respective benefits of incorporating diverse species of green manure into cotton-based cropping systems in the Yellow River Basin of China.

This study examines cumulative energy (CEnC), exergy (CExC), CO₂ emissions (CCO₂C), and life cycle assessment of sweet red pepper (SRP) paste production. A whole system approach in five improvement scenarios including different packaging materials and precision farming encompasses the supply chain from farm to fork and cradle to gate. The largest impact on SRP farming is caused by the use of diesel oil, the excessive use of chemical fertilizers, and the use of electricity. In SRP farming step, the CEnC is mainly caused by 86.5% fertilizer and 11% diesel usage. Hotspot impact categories were determined as abiotic (fossil) depletion potential, global warming potential, and human toxicity potential. The base case scenario has the greatest values for CEnC, CExC, and CCO₂C and impact assessment results. A CEnC value reduction of 48.6%, 50%, and 30% in the factory processing, packaging-transportation step and whole process, respectively, is observed when the biodiesel scenario is performed. With a 40% reduction in global warming potential value, the combination of polyethylene terephthalate packaging, biodiesel, and precision farming scenario yielded the best results for each impact category analyzed in this study.

Maize starch is an important source of industrial starch in the world, and its production is seriously affected by water deficit. Waxy maize starch is composed of nearly pure amylopectin, which endows with its high economic value. The effects of mild, moderate, and severe drought stresses during grain filling on the structural and functional properties of waxy maize starch were evaluated using two hybrids as materials. In general, the starch granule size enlarged, the branching degree decreased, and amylopectin chain length and relative crystallinity increased when both hybrids suffered post-silking water deficit in 2 years. Meanwhile, the influence of drought degree on these starch structures depended on the hybrid and year. Peak, breakdown, and setback viscosities gradually decreased with the severity of water shortage, and trough and final viscosities were the lowest under severe drought conditions. Gelatinization enthalpy gradually decreased with the water supply decrease, and gelatinization temperatures showed an opposite trend and were the highest during severe drought. Correlation analysis indicated that the decrease in pasting viscosities and gelatinization enthalpy and the increase in gelatinization peak temperature may be due to the high proportion of low-molecular-weight amylopectin, low proportion of DP 25–36 chains and large granule size of starch. Furthermore, drought stress was easily destroyed the starch structure of JKN2000 and the pasting viscosities and gelatinization enthalpy of SYN5. In conclusion, water deficit during grain filling affected the structural and physicochemical properties of waxy maize starch. The lowest pasting viscosities and gelatinization enthalpy and the highest gelatinization temperatures were observed when these plants suffered severe water shortage during grain filling.

On-farm trials were performed to investigate the nitrogen (N) uptake, N translocation, and grain yield of rice planted via different direct seeding methods into a field after wheat straw incorporation. The study conducted using two direct seeding methods, dry direct seeding of rice (DDSR) and wet direct seeding of rice (WDSR), in a field without or with straw incorporation demonstrated that straw incorporation negatively influenced both grain yield and N uptake in direct-seeded rice. Compared with WDSR, DDSR suffered significant negative effects, with a 7.2% decrease in grain yield and an 8.0% decrease in N uptake. Additionally, N uptake in direct-seeded rice with straw addition decreased by 6.5% at the middle stage and 9.5% at the late stage compared with that without straw incorporation. Straw incorporation prolonged the initial phase of growth and thus shortened the N uptake days in the last two phases. Moreover, the total N uptake of rice was positively associated with the uptake rate and the uptake days during the latter stages. Specifically, WDSR exhibited a higher N uptake rate, N uptake days, and N translocation ability than DDSR, which increased the N uptake in stem and panicle, total N uptake, and grain yield at maturity. These results indicated that straw incorporation decreased grain yield and N uptake, which was related to the fewer N uptake days in the latter stages caused by the prolonged early growth stage for direct-seeded rice. Nevertheless, using WSDR in a field incorporated with straw alleviated the losses in N uptake and grain yield.

Future frequent droughts threaten summer maize production in the North China Plain (NCP). A proper combination of irrigation and nitrogen (N) application can improve water and N use efficiency while maintaining summer maize yield. However, the optimal irrigation and N application strategies (OINASs) for summer maize during future drought years in the NCP require further exploration. This study applied the DSSAT-CERES-Maize model to investigate OINASs for summer maize for all drought years during 2021–2050 under three shared socioeconomic pathways (SSP1-2.6, SSP2-4.5, and SSP5-8.5). The performance of the OINASs was subsequently evaluated against no irrigation and N application (CK) condition and a conventional irrigation and N application strategy (CINAS). The results highlight the following: (1) For all drought years under the three SSP scenarios, the base fertilizer rate should be 60 kg/hm², after that the irrigation and N application are required during the jointing and heading periods. Under the SSP1-2.6 scenario, the average values of irrigation and N application during each earlier period are 35.5 mm and 22 kg/hm². Under the SSP2-4.5 and SSP5-8.5 scenarios, the average values are (34.5 mm, 23 kg/hm²) and (47.5 mm, 18 kg/hm²). (2) Under all SSP scenarios, the optimal irrigation amounts and N application rates are much lower than those under the CINAS. After applying OINASs for summer maize, an average of 1.16–1.22 billion kg of N and 2.98–5.19 billion m³ of freshwater will be saved per future drought year in the NCP. (3) Under all SSP scenarios, the summer maize yields under the OINASs are slightly and significantly greater than those under the CINAS and CK conditions. Moreover, both water and N use efficiencies improved under the OINASs compared with those under the CINAS, with more significant improvements in N use efficiency. The OINASs provide a practical way to ensure food security and environmental sustainability.

Drought stress is the primary abiotic threat to soybean production. Drought tolerance mechanisms in Mexican soybeans have not yet been fully studied. We examined the responses of three Mexican soybean genotypes, with varying maturities, to progressive drought stress and recovery irrigation, regarding plant water status, biomass traits, root system architecture, and their relationships. Genotypes I1240, I700 (intermediate maturity), and E2309 (early maturity) were examined since they showed drought tolerance characteristics under field conditions in previous studies. Drought stress was applied at the R2 growth stage for 17 days, after that irrigation was restored. Control plants were irrigated normally throughout the study. Responses to severe drought stress were different depending on the genotype. Early genotype E2309 exhibited a wider root system and tolerated drought stress maintaining shoot biomass and root characteristics at a low plant water potential. Intermediate genotypes, I1240 and I700, avoided drought stress achieving a greater root system at a higher plant water potential. Due to drought, genotype I1240 showed a more prominent increase in root diameter; meanwhile, root biomass was not decreased in genotype I700. Genotype I700 displayed a longer root system with the highest root-to-shoot ratio and recovered root growth more efficiently after recovery irrigation. General effects also indicated a longer root system in this genotype. Therefore, it could be used as a genetic source to improve root traits to cope with drought. Morphological and biomass root traits are suitable for selecting drought stress–tolerant soybean genotypes.