Food and Energy Security最新文献

{"title":"Do Agricultural Ecology and Food Security Promote Each Other? Evidence From China","authors":"Yihang Hu,&nbsp;Junbiao Zhang,&nbsp;Binli Chang,&nbsp;Chenjie Ni","doi":"10.1002/fes3.70059","DOIUrl":"https://doi.org/10.1002/fes3.70059","url":null,"abstract":"<p>Based on a spatiotemporal perspective, this study evaluates the agricultural ecology and food security levels of 31 provinces in China from 2013 to 2022 using the rank-sum ratio method. It analyzes the trajectory changes through the center-of-gravity model and explores the dynamic relationship between the two with the VAR model. The results show that China's agricultural ecosystem has recovered since 2019, with a 21% increase in food security capability. Geographically, the agricultural ecology index shows higher values in the east and lower in the west, while food security levels are unevenly distribution across the country. Notably, the centers of gravity are located in Nanyang, Henan, with a northwestward shift, indicating advancements in the northwest region. The synergistic enhancement of agricultural ecology and food security has significantly improved stability and sustainability, highlighting the importance of their mutual complementarity. The conclusions drawn from this study may offer insights into promoting regional agricultural sustainability and developing effective policies.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 3","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Crop Nutrition in Arid and Semiarid Regions of Africa Through Genome Editing Using CRISPR/Cas","authors":"Erick Amombo,&nbsp;Rita H. Mumm,&nbsp;Abdelaziz Nilahyane,&nbsp;Abdelaziz Hirich,&nbsp;Mohamed Hijri,&nbsp;Valentine Otang Ntui","doi":"10.1002/fes3.70068","DOIUrl":"https://doi.org/10.1002/fes3.70068","url":null,"abstract":"<p>Food insecurity is a pressing issue in Africa, aggravated by escalating drought, jeopardizing the region's ability to meet nutritional requirements for human health. In arid and semiarid regions, crop yield is severely affected by drought and salinity. Thus, obtaining an effective crop development requires striking the right balance between growth and defense. This review delves into the potential of CRISPR/Cas genome editing technology to tackle these challenges by improving the nutritional quality of climate-resilient crops for SSA in the context of drought and soil salinity. We describe in detail opportunities for climate-resilient crops with nutritional traits that could be developed using CRISPR/Cas systems for potential cultivation in arid and semiarid regions of Africa. We discussed the crops, genes and specific pathways that could be targeted. Furthermore, we emphasize the importance of aligning these scientific solutions with evolving policy frameworks, particularly favorable biosafety regulations concerning genome editing. In addition, we underscore the significance of capacity-building programs, which have the potential to revolutionize crop value chains, tapping solutions enabled through genome editing. By strategically integrating CRISPR/Cas technology and supporting policies alongside capacity-building initiatives and communication strategies, Africa can bolster food and nutritional security amidst climate change challenges. This approach not only addresses immediate nutritional needs but also fosters long-term resilience in the region's agricultural systems.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 3","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mitigating CO2 Emissions: China-East Asia Trade, Digitalization, and Geography's Impact on Sustainable Environmental Development","authors":"Umer Shahzad,&nbsp;Changhong Miao","doi":"10.1002/fes3.70085","DOIUrl":"https://doi.org/10.1002/fes3.70085","url":null,"abstract":"<p>Technological advancement and favorable geographical factors significantly increase environmental development. This study contributes to the existing body of knowledge by examining the impact of China-East Asia trade, geography, and digitalization on CO₂ emissions, aiming to assess sustainable environmental development in East Asia from 1990 to 2021. The analysis employs Feasible Generalized Least Squares (FGLS) and the Dumitrescu and Hurlin (DH) causality tests to provide comprehensive insights. The findings reveal that China-East Asia trade positively contributes to sustainable environmental development in East Asia by promoting economic integration and cleaner technological practices. However, the direct impact of geographical factors worsens sustainable environmental development, likely due to challenges related to distance, terrain, and natural resource distribution. Furthermore, the results highlight that digitalization significantly reduces CO₂ emissions, enhancing sustainable environmental development. Additionally, the threshold effect indicates that digitalization plays a crucial role in either amplifying or mitigating the impact of trade and geography by enhancing technological efficiency and facilitating information exchange, ultimately contributing to sustainable environmental development. The DH causality test results confirm that China-East Asia trade, geography, and digitalization exhibit predictive power for sustainable environmental development, highlighting their interconnected roles in shaping environmental outcomes. This study concludes with key policy recommendations aimed at promoting sustainable environmental development by strengthening digitalization and refining trade policies to mitigate geographical constraints.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70085","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143857175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Melatonin and Hydrogen Sulfide Signaling Synergistically Enhance Iron Bioavailability and Stress Resilience in Strawberry Under Iron Deficiency","authors":"Cengiz Kaya","doi":"10.1002/fes3.70084","DOIUrl":"https://doi.org/10.1002/fes3.70084","url":null,"abstract":"<p>Iron (Fe) deficiency is a critical constraint on global food security, particularly affecting high-value horticultural crops such as strawberries (<i>Fragaria × ananassa</i>). This study examines the roles of melatonin and hydrogen sulfide (H₂S) signaling in mitigating Fe deficiency stress by improving Fe bioavailability and enhancing plant resilience. Strawberry plants were cultivated under Fe-sufficient and Fe-deficient conditions and treated with 100 μM melatonin and 3 mM dl-propargylglycine (PAG), an inhibitor of L-cysteine desulfhydrase (L-DES), which regulates H₂S production. Fe deficiency significantly reduced chlorophyll content and photosynthetic efficiency while elevating oxidative stress markers such as hydrogen peroxide (H₂O₂), malondialdehyde (MDA), and electrolyte leakage (EL). Melatonin application alleviated Fe deficiency effects by enhancing Fe utilization, stimulating L-DES activity, and promoting H₂S production. Melatonin also improved antioxidant defenses by boosting the activities of superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD), as well as maintaining ascorbate-glutathione (AsA-GSH) redox dynamics. The addition of 3 mM PAG inhibited L-DES activity, resulting in reduced H₂S levels and diminished melatonin-induced benefits, underscoring the essential role of L-DES-mediated H₂S synthesis. Despite the presence of PAG, the co-application of 0.2 mM sodium hydrosulfide (NaHS) and melatonin restored Fe bioavailability, growth, and antioxidant capacity, suggesting a synergistic interaction between melatonin and H₂S. This study highlights the potential of melatonin and H₂S signaling to improve Fe homeostasis and mitigate oxidative stress in Fe-deficient plants. The findings offer strategies to enhance crop resilience and productivity in nutrient-deficient soils, thereby promoting sustainable agriculture and global food security.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics of Plant Type and Lodging Resistance in Unmanned Aerial Seeding Rice With Optimal Basal Seedlings","authors":"Haibin Zhu,&nbsp;Xizhan Lu,&nbsp;Yuan Feng,&nbsp;Kaiwei Zhang,&nbsp;Yuankun Gu,&nbsp;Zhipeng Xing,&nbsp;Haiyan Wei,&nbsp;Qun Hu,&nbsp;Hongcheng Zhang","doi":"10.1002/fes3.70083","DOIUrl":"https://doi.org/10.1002/fes3.70083","url":null,"abstract":"<p>Unmanned aerial seeding (UAS) is a promising rice direct seeding method with excellent regional adaptability, operational efficiency, and economic benefits. To characterize the plant type and lodging resistance of the optimal UAS population and to distinguish it from other unmanned planting methods, a 2-year field experiment was conducted. Four UAS populations (UAS105, UAS150, UAS195 and UAS240 = 105, 150, 195 and 240 seedlings m⁻²) were established using the inbred <i>japonica</i> cultivar Nanjing5718 as the material, and the appropriate unmanned populations of dry direct seeding (UDDS) and carpet transplanting (UCT) were employed as controls. The results showed that more UAS basic seedlings caused lower grain yield per panicle (9.56%–29.48%), worse leaf and culm configurations, and higher lodging risk (2.43%–9.11% and 0.86%–10.60% in the 2nd and 3rd basal internodes, respectively). But the proper increase (UAS195) improved population yield (3.38%–16.52%), leaf area index (LAI) and grain-leaf ratio. Among the methods, UAS195 ranked behind UCT in all aspects of plant type and lodging resistance, as well as population yield and grain-leaf ratio, and only the LAI excelled. However, it produced more population yield (4.86% on average) and larger panicles (2.02% on average in grain yield per panicle) than UDDS, due to the larger basal and drooping angles, longer pillow distances, and higher SPAD values in high-efficiency leaves, more LAI, and grain-leaf ratio. Furthermore, UAS195 had taller plant height, gravity center height, and basal internodes with more bending moment, but its relative gravity center height and lodging index did not deteriorate significantly. This was attributed to increased breaking strength from stronger internodes with thicker walls. The findings suggest that the optimal increase in UAS basic seedlings (UAS195) could produce more population yield by improving photometric area and grain-leaf ratio, despite compromises in plant type and lodging resistance. Furthermore, not comparable to UCT, but it provides better vertical canopy structure and population yield than UDDS and maintains similar lodging resistance.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143827045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensor-Guided Smart Irrigation for Tomato Production: Comparing Low and Optimum Soil Moisture in Greenhouse Environments","authors":"Ibrahim Dirlik,&nbsp;Ferhat Uğurlar,&nbsp;Cengiz Kaya","doi":"10.1002/fes3.70082","DOIUrl":"https://doi.org/10.1002/fes3.70082","url":null,"abstract":"<p>Effective irrigation management is crucial for optimizing crop production, particularly in water-scarce regions. This study evaluated the performance of an Arduino-based system designed to monitor and control soil moisture in a greenhouse setting, focusing on its impact on tomato plant growth, fruit yield, and fruit size under two different irrigation treatments. Treatment 1 (T1) involved low moisture with significant fluctuations (55%–85% soil moisture), while Treatment 2 (T2) maintained optimal and stable moisture levels (70%–85%). Soil moisture dynamics revealed that in T1, moisture levels oscillated significantly, dropping to 55% before irrigation restored them to 85%. This cyclical pattern indicates a stress-response mechanism triggered by the system, which is essential for mitigating plant stress and ensuring optimal growth. Conversely, the optimal moisture treatment maintained more stable soil moisture levels between 70% and 85%, promoting healthy plant development and physiological functions. The correlation between sensor readings and gravimetric measurements was analyzed using a 45° diagonal correlation approach, demonstrating strong agreement between the two methods and reinforcing the reliability of sensor-based irrigation. Physiological assessments indicated that seedlings under optimal irrigation experienced a 30% increase in fresh weight, a 6% increase in dry weight, a 16% increase in plant height, and a 25% higher SPAD values compared to T1 at the young stage. At maturity, T2 plants exhibited a 52% increase in fresh weight, a 78% increase in dry weight, and a 121% increase in plant height. Fruit yield increased by 47% in T2, with an average of 56 fruits per plant compared to 45 in T1, and the average fruit weight was 85 g in T2 compared to 56 g in T1. Future research should explore the integration of advanced sensors, machine learning algorithms, and predictive models to further optimize irrigation strategies, with an emphasis on scalability and environmental impact. By refining these technologies, agriculture can achieve more sustainable and productive outcomes in the face of increasing environmental challenges.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of Artisanal Mining and Environmental Pollutants on Food Security in Southern Africa: A Systematic Review","authors":"Tatiana J. Marrufo,&nbsp;Bettencourt P. S. Capece,&nbsp;Maria-Raquel G. Silva","doi":"10.1002/fes3.70080","DOIUrl":"https://doi.org/10.1002/fes3.70080","url":null,"abstract":"<p>Environmental pollutants caused by mining activities are an emerging global problem of the current century, contributing to millions of deaths and significant economic and social effects. Mining discharges of heavy metals are the most studied, but their impact on food security is not well understood. The main objective of this study is to provide an overview of the environmental pollutants related to food insecurity in Southern Africa involving artisanal mining activities. A systematic review of peer-reviewed publications was conducted using available electronic databases (PubMed, Science Direct, Scielo, EBSCO-b-on, and Google Scholar) from January 2013 to September 2023. Information on environmental exposure and consequent human risks and impacts in artisanal mining in Southern Africa was selected, analyzed, and synthesized. Our search yielded 867 records, and after systematic screening, 74 scientific publications were retained for the final analysis. Most studies (58%) focused on environmental pollutants related to nutritional conditions and food security. However, only 12% of the studies were related to artisanal and small-scale contexts, with mercury being the most studied heavy metal in occupational and environmental hazards. In addition, few studies focused on vulnerable groups, such as women in reproductive ages and children, and none addressed water or vector-borne diseases and/or malnutrition conditions. Environmental hazards related to mining activities are poorly described in the pathways that may influence food safety in surrounding communities exposed to mining activities. Most studies were related to occupational risks and hazards, with mercury being the primary focus. Future research should address the diversity of environmental hazards to which artisanal and small-scale mining communities are exposed, including pathways of contact with pollutants and their consequences for the health and well-being of the most vulnerable groups.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70080","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143793905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Advanced Agriculture Technologies and Energy Consumption on Crop Yields in Modern Agriculture Using Deep Learning Techniques","authors":"Khan Baz,&nbsp;Zhu Zhen,&nbsp;Hashmat Ali","doi":"10.1002/fes3.70076","DOIUrl":"https://doi.org/10.1002/fes3.70076","url":null,"abstract":"<p>Growing concern over food security has drawn worldwide scholarly attention. Addressing food security issues highlights the vulnerability of agricultural yield to the complexity of agriculture inputs. Therefore, this study considers the intricacies of cultivation inputs and their effect on cereal production across 20 developing Asian countries from 1990 to 2022. First, advanced machine learning algorithms are employed to investigate the combined impact of the farming Product Complexity Index on agricultural yields. Second, the Granger causality test was used to uncover the causality direction between agricultural yield and exogenous variables. Both the causal inference neural network (CINN) and deep neural network (DNN) models show a rapid initial decrease in loss during the early epochs, followed by a more gradual decline, indicating effective learning and convergence. Notably, the CINN model consistently starts with a lower loss compared to the DNN model, suggesting superior performance in minimizing the training loss. These machine learning techniques have successfully predicted the synergistic relationships, leading to significant improvements in cereal yield forecasting. The Granger causality results revealed feedback causality between the agricultural Product Complexity Index and crop yields and the use of fertilizer and agricultural yields on different lags. These results emphasize the potential for targeted guidelines that harness the interactions between complexities in agriculture and the application of fertilizer to improve cereal yields.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70076","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Ecological Service Function in Cotton-Based Multiple Cropping Systems","authors":"Chun-yan Chang,&nbsp;Jia-rui Deng,&nbsp;Fei Liu,&nbsp;Xin-dong Liu,&nbsp;Jun-ke Wu,&nbsp;Min Gao,&nbsp;Xiao-yi Liang,&nbsp;Zhuo Li","doi":"10.1002/fes3.70081","DOIUrl":"https://doi.org/10.1002/fes3.70081","url":null,"abstract":"<p>Double cropping in cotton fields is a prominent agricultural practice in the Yellow River basin, enhancing yields and overall cotton production benefits. However, there is limited research on the agronomic performance and long-term ecological sustainability of cotton-based cropping systems. This study evaluates the ecological service functions of various cotton-based cropping systems, focusing on crop productivity and ecological security. Field experiments were conducted to examine the dynamics of insect pest and natural enemy populations, soil nutrients, agricultural investment, and economic benefits across different cropping systems, including monoculture cotton with (MC₁) or without chemical pesticides (MC₂), garlic-cotton rotation with (GC₁) or without chemical pesticides (GC₂), wheat-cotton rotation with (WC₁) or without chemical pesticides (WC₂), and cotton-garlic intercropping with (CG₁) or without chemical pesticides (CG₂) in Jinxiang and Shanxian. The results showed that garlic-cotton rotation significantly improved species richness, conserved natural enemies, and enhanced economic benefits (GC₁: +692.99%; GC₂: +692.40%) compared to other systems. However, wheat or garlic rotation without pest control significantly decreased soil organic matter. Overall, garlic-cotton rotation proved to be a sustainable and efficient cropping system for traditional cotton-growing areas in the Yellow River basin, providing theoretical and technical support for environmentally friendly cotton production in China.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143778253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intermittent Supplemental Irradiation With Blue Light Promotes Leafy Heads in Lettuce","authors":"Yanke Liu,&nbsp;Yiqun Chen,&nbsp;Rongcheng Lin,&nbsp;Ep Heuvelink,&nbsp;Yang Li","doi":"10.1002/fes3.70079","DOIUrl":"https://doi.org/10.1002/fes3.70079","url":null,"abstract":"<p>Red and blue lights are the most effective spectral components absorbed by plants and are typically applied in a constant spectrum in plant factory agricultural practices. Research and application of non-constant light modes are relatively rare. In this study, we examined the impacts of varying blue light photon intensity and durations at 5-, 15-, 30-, and 45-min intervals of intermittent exposure on the growth and development of lettuce (<i>Lactuca sativa</i>) in plant factories while maintaining a constant red light photon flux and daily light integral (DLI). Compared to the constant light condition, intermittent blue light irradiation treatments accelerated the emergence of the leafy head trait in lettuce without compromising photosynthetic capacity and biomass. Specifically, intermittent blue light treatment with 15-min intervals led to a reduction of 8 days in the time needed for half of the lettuce plants to reach the heading stage. Furthermore, the petiole bending angle in treated lettuce was just 70.2% of that observed under constant light conditions, with strong correlations between multiple hormone levels and bending angle in petioles. Transcriptome sequencing analyses revealed significant differential expression of signaling-related genes between constant and intermittent blue light treatments. The transient and dynamic expression of light-responsive and hormone metabolism-related genes indicated that 15-min intermittent blue light exposure better maintained the rhythmic differential expression of response genes, leading to different hormone accumulations and consequently accelerating the development of leafy heads.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}