Climate Smart Agriculture最新文献

{"title":"Establishing water-adaptive cropping systems to combat aquifer depletion in North China","authors":"Meng Yuan ,&nbsp;Dongbao Sun ,&nbsp;Daozhi Gong ,&nbsp;Enke Liu ,&nbsp;Qingsuo Wang","doi":"10.1016/j.csag.2025.100051","DOIUrl":"10.1016/j.csag.2025.100051","url":null,"abstract":"<div><div>Groundwater exploitation has facilitated the strengthening of world food security as populations have rapidly grown, but preventing overexploitation is a major challenge. North China has one of the world's largest groundwater depression cones due to its average annual groundwater overdraft of nearly 9.0 ​km³. To achieve a balance between extraction and recharge of aquifers, groundwater use by agriculture must be reduced by 4.746 ​km³ annually, alongside water diversion. In order to explore the sustainability of agricultural development in the context of reduced groundwater extraction in North China, which does not jeopardize Chinese food security, is economically feasible, and socially recognized, we selected 10 water-saving planting schemes and 2 scenarios (whether or not to replace surface irrigation with drip irrigation for vegetables and fruit trees) based on multi-source data including the area where water-saving alternatives can be implemented, big data from crop water-saving field trials such as the irrigation quotas, water consumption, and yield, water-saving subsidies from the government, and local costs and prices of crop production from an actual survey, and expected to obtain the optimization schemes of sustainable water-adaptive cropping systems matching with water availability. We obtained the feasible water-adaptive cropping solutions to address the groundwater overexploitation in North China, i.e. the annual winter wheat–summer maize double cropping system should be maintained rather than the annual single cropping system or afforestation; drip irrigation (a water-saving irrigation method) should be applied to all fields of vegetables and fruit trees; limited irrigation (a water-saving irrigation regime) of winter wheat in well-irrigation regions should be implemented (for example, one irrigation event across 50 ​% of the area or two events over 100 ​% rather than three irrigation events); and cotton planting (a water-saving cropping system) should be appropriately increased by replacing winter wheat. These adaptations will keep the increase in net income of farmers without decreasing and the total water-saving subsidies payable by the Chinese government to below 10 ​× ​10⁹ Chinese Yuan while resulting in an annual loss of the national wheat and/or maize production of less than 5 ​%.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 2","pages":"Article 100051"},"PeriodicalIF":0.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Farm typology-based strategy for targeted climate-smart agriculture interventions: A case study in the Guinea Savannah agro-ecological zone of Ghana","authors":"Meron Awoke Eshetae ,&nbsp;Yodit Balcha ,&nbsp;Stephen Yeboah ,&nbsp;Zenebe Adimassu ,&nbsp;Wuletawu Abera","doi":"10.1016/j.csag.2025.100050","DOIUrl":"10.1016/j.csag.2025.100050","url":null,"abstract":"<div><div>Farms in Ghana’s Guinea Savannah are highly vulnerable to climate shocks, threatening food security and agricultural development. While climate-smart solutions exist, they often overlook the specific needs of farmers, including their social dynamics, resource endowments, and priorities. This study applies a farm typology approach to identify and characterize farm types and develop a tailored climate-smart agricultural (CSA) intervention strategy suited to the Guinea Savannah agro-ecological zone, covering four regions: Bono East, Northern, Upper West, and Upper East. Factor Analysis for Mixed Data was used to analyze farm typology, integrating principal component analysis and multiple correspondence analysis. This revealed four distinct farm types: Low, medium, medium-to-high, and high resource-endowed farms. Medium-to-high resource-endowed farms (43 ​%) predominated, followed by medium resource-endowed farms (28 ​%). Distribution of farm types varied across regions of the study zone: Low and medium-to-high resource-endowed farms were dominant in the Northern and Bono East regions, respectively, while medium and high resource-endowed farms were most common in the Upper West and Upper East regions, respectively. Climate risks faced by each farm type were identified. Drought was the primary risk to all farm types but its impact was most severe on low and high resource-endowed farms. A multi-step approach was then applied to develop CSA strategies tailored to each farm type, with context-specific CSA practices recommended to enhance farm resilience and agricultural development.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 2","pages":"Article 100050"},"PeriodicalIF":0.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impacts of bacterivorous nematode identity and abundances on soil greenhouse gas emissions","authors":"Yao Yu ,&nbsp;Xianwen Long ,&nbsp;Yaping Lin ,&nbsp;Tibor Magura ,&nbsp;Siqi Wang ,&nbsp;Xionghui Liao ,&nbsp;Jiangnan Li ,&nbsp;Jie Zhao","doi":"10.1016/j.csag.2025.100049","DOIUrl":"10.1016/j.csag.2025.100049","url":null,"abstract":"<div><div>Soil organisms are essential drivers of greenhouse gas (GHG) emissions, with bacterivorous nematodes playing a crucial role in regulating soil carbon and nitrogen cycling processes. These nematodes influence microbial communities and nutrient dynamics, which in turn affect GHG fluxes. However, their species-specific contributions to GHG dynamics remain poorly understood. This study investigated the effects of two bacterivorous nematode species, <em>Protorhabditis</em> spp. and <em>Caenorhabditis elegans</em> on soil GHG emissions using a 20-day microcosm experiment. Seven treatments were established: a control (without nematodes) and inoculations of <em>Protorhabditis</em> spp. or <em>C. elegans</em> at densities of 1, 2, and 3 individuals per gram of dry soil. The results showed that <em>C. elegans</em> significantly increased the cumulative emissions of CO₂ and N₂O compared to the control. Random forest analysis identified <em>C. elegans</em> abundance was the most critical factor influencing cumulative GHG production. However, <em>Protorhabditis</em> spp. did not significantly affect CO₂ emissions compared to the control, despite its faster population growth rate and higher abundance over the experimental period. The contrasting effects of the two bacterivorous nematodes on GHG emissions highlight the distinct ecological roles of nematode species in regulating soil processes. These findings suggest that nematode species-specific traits exert a greater influence on soil GHG emissions than nematode abundance alone. In addition, the density-dependent effects observed for <em>C. elegans</em> demonstrate that abundance can also be an important determinant of GHG fluxes. This study provides novel insights into the differential roles of bacterivorous nematodes in soil biogeochemical processes and underscores the importance of species composition in regulating soil GHG emissions.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 2","pages":"Article 100049"},"PeriodicalIF":0.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecular cloning, expression profiling and functional characterization of three small heat shock protein genes in Sogatella furcifera reveals their roles in heat tolerance","authors":"Yuechao Zhao ,&nbsp;Mingli Yu ,&nbsp;Yao Chi ,&nbsp;Jinyang Wang ,&nbsp;Xueping Shi ,&nbsp;Yongli Fu ,&nbsp;Xingya Wang","doi":"10.1016/j.csag.2025.100041","DOIUrl":"10.1016/j.csag.2025.100041","url":null,"abstract":"<div><div>The white-backed planthopper (WBPH), <em>Sogatella furcifera</em> (Horváth), is a destructive rice pest in Asia that causes significant economic losses in China's major rice-growing regions. Small heat shock proteins (shsps) play a vital role in temperature adaptation across a wide range of organisms. To evaluate the impact of shsp on high-temperature tolerance in <em>Sogatella furcifera</em>, we cloned the complete cDNA sequences of <em>SfHsp21.9</em>, <em>SfHsp22.4</em>, and <em>SfHsp23.1</em>, and analyzed their expression under high-temperature conditions. Additionally, we confirmed their functionality using RNA interference (RNAi). Overall, the results indicated that the <em>SfHsp21.9, SfHsp22.4,</em> and <em>SfHsp23.1</em> genes encode 192, 199, and 192 amino acids, respectively. Their molecular weights were 21.69, 22.47, and 21.81 ​kDa, respectively. Phylogenetic analysis revealed the relative conservation of three <em>shsp</em> genes in the WBPH. Real-time quantitative PCR (qPCR) showed that all three <em>shsp</em> genes were significantly upregulated after 1 ​h of high-temperature exposure, with their expression levels increasing progressively as the temperature increased. RNAi experiments demonstrated that the injection of double-stranded RNAs (dsRNAs) targeting these three <em>shsp</em> genes effectively inhibited their expression at the transcriptional level and significantly reduced the survival rate of the WBPH. After high-temperature treatment, silencing these proteins leads to an increased mortality rate. Accordingly, our study contributes to a better understanding of the heat tolerance mechanisms in this species and provides valuable insights for the integrated pest management of rice planthoppers in eastern Asia.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 1","pages":"Article 100041"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Institutional efforts and regional distribution of climate-smart agriculture (CSA) initiatives in Ghana","authors":"Michael Gameli Dziwornu ,&nbsp;Powell Mponela ,&nbsp;Sandra Sawdiatu Inusah ,&nbsp;Fred Fosu Agyarko ,&nbsp;Stephen Yeboah ,&nbsp;Osman Tahidu Damba ,&nbsp;Isaac Boatey Akpatsu ,&nbsp;Wuletawu Abera","doi":"10.1016/j.csag.2024.100038","DOIUrl":"10.1016/j.csag.2024.100038","url":null,"abstract":"<div><div>Mapping climate-smart agriculture (CSA) initiatives enable countries to account for emissions and develop adaptation measures. While discourse on <span>CSA</span> implementation exists, developing countries lack empirical evidence to support intervention design. This study analyzes actor networks and assesses social benefits through a comprehensive review of 153 CSA projects across Ghana's 16 regions from 1971 to 2023. The Northern region hosted the highest concentration (17 ​%) of CSA projects, followed by Upper West, Upper East, Bono, Eastern, and Ashanti regions, primarily focusing on drought adaptation. Crop production emerged as the dominant system (56 ​%), with governmental entities leading 80.4 ​% of initiatives. Regional variations show post-harvest loss reduction as the primary aim in southern regions, while forestry and aquaculture initiatives concentrate in Eastern and Western regions to address flood vulnerability in degraded landscapes. The study reveals spatial and temporal patterns in Ghana's CSA implementation, identifying gaps in coverage and stakeholder participation. These findings provide an evidence base for policymakers to optimize resource allocation, strengthen underserved regions' climate resilience, and align CSA initiatives with national sustainable development goals.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 1","pages":"Article 100038"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing global agricultural monitoring system for climate-smart agriculture","authors":"Le Yu ,&nbsp;Zhenrong Du ,&nbsp;Xiyu Li ,&nbsp;Jinhui Zheng ,&nbsp;Qiang Zhao ,&nbsp;Hui Wu ,&nbsp;Duoji weise ,&nbsp;Yuanzhen Yang ,&nbsp;Quan Zhang ,&nbsp;Xinyue Li ,&nbsp;Xiaorui Ma ,&nbsp;Xiaomeng Huang","doi":"10.1016/j.csag.2024.100037","DOIUrl":"10.1016/j.csag.2024.100037","url":null,"abstract":"<div><div>Global agricultural monitoring systems face unprecedented challenges due to intensifying climate change. This paper reviews the advancements in existing global agricultural monitoring systems, highlighting deficiencies in addressing extreme weather events, data integration, and real-time analysis. To overcome these limitations, we introduce the Earth System Model-Coupled Global Agricultural Monitoring System (ESM-GAMS), an advanced framework that combines satellite and near-surface remote sensing, artificial intelligence-driven modeling, supercomputing, and crop model to enhance the accuracy and timeliness of crop monitoring and yield predictions under diverse climate scenarios. By integrating multi-source remote sensing data, ESM-GAMS mitigates delays caused by satellite revisit cycles and weather interference, enabling near real-time monitoring with results available at hourly or minute-level intervals. Additionally, the system demonstrated high accuracy in yield simulations under extreme weather, with the improved WOFOST model achieving robust R² values ranging from 0.55 to 0.77, indicating its reliability in predicting yields across diverse conditions. ESM-GAMS not only enables detailed daily monitoring of crop growth, but also provides early-warning capabilities for extreme weather and its impact on prediction. By optimizing resource allocation, supporting climate resilience, and enabling global data computing, ESM-GAMS represents a further step toward achieving climate-smart agriculture.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 1","pages":"Article 100037"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adoption decisions for climate-smart dairy farming practices: Evidence from smallholder farmers in the Salale highlands of Ethiopia","authors":"Abraham Abera Feyissa ,&nbsp;Adugna Tolera ,&nbsp;Feyera Senbeta ,&nbsp;Dawit Diriba","doi":"10.1016/j.csag.2024.100039","DOIUrl":"10.1016/j.csag.2024.100039","url":null,"abstract":"<div><div>The adoption rate of climate-smart livestock production in Ethiopia has remained low, despite its potential to increase animal productivity and reduce greenhouse gas emissions. Understanding the factors that influence smallholder farmers' (SHFs) decisions to adopt improved practices is crucial for tailoring strategies for stakeholders and policymakers. The present study examines factors that determine adoption and the intensity of adoption of multiple climate-smart dairy (CSD) farming practices, including improved breeds, feed, and feeding conditions, forage, and manure management, using data from 480 SHFs in Salale highlands. The study employed a multivariate probit model (MVP) to analyze the simultaneous adoption of multiple CSD farming practices and an ordered probit model to examine factors influencing the degree of adoption. The results indicate that about 90 ​% of the smallholder farmers have adopted at least two of the CSD farming practices. Improved breed, improved feed, and improved feeding conditions are the most commonly adopted farming practices, whereas improved forage is the least adopted improved practice in the study area. Our result showed that most CSD farming practices have complementary associations. Furthermore, gender, dependency ratio, land size, Tropical Livestock Unit (TLU), off-farm activity, access to extension services, farmer-to-farmer communication, and distance to the nearest market significantly influence smallholder farmers' adoption and intensity of adoption of multiple CSD farming practices. The result suggest that the government bodies should prioritize encouraging the uptake of improved forages and should take the required steps to facilitate their implementation. To accelerate the adoption of CSD farming practices for SHFs and promote their widespread implementation across the region, policymakers and implementers must recognize the synergies between these practices. Interventions that improve access to agricultural resources, supply chain inputs and outputs, as well as service provision, will further facilitate the adoption and effective implementation of CSD farming practices.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 1","pages":"Article 100039"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Moderating effects of grassland ecological compensation policy in linking climatic risk and farmers' livelihood resilience in China","authors":"Ruoyan Zhang ,&nbsp;Shengqiang Zhou ,&nbsp;Ru Chen","doi":"10.1016/j.csag.2025.100040","DOIUrl":"10.1016/j.csag.2025.100040","url":null,"abstract":"<div><div>China is harmonizing the symbiotic relationship between humans and nature through efforts to implement grassland ecological compensation policies (GECP), which have triggered changes in the resilience of farmers' livelihoods within grassland ecosystems. This study examines the direct impacts of climate change on the livelihood resilience of farm households and the direct and moderating effects of GECP on livelihood resilience by constructing a robust empirical strategy using sample data from a multi-year tracking of the regions where GECP was implemented. The results showed that the level of livelihood resilience of farm households showed an increasing trend during the period 2010–2019, buffering capacity and learning capacity are important components in the livelihood resilience of farm households, and higher temperatures and reduced precipitation have negative impacts on the livelihood resilience of farm households. The direct effect of GECP implementation significantly increased the level of livelihood resilience of farm households in the second cycle, but GECP was shown to play a significant moderating role in the relationship between climate change risk and livelihood resilience. The policy moderating effect attenuated the impact of climate change risk on the resilience of farmers' livelihoods and was more pronounced for farmers in husbandry-oriented livelihood strategies. Subsidy intensity is a key factor influencing the moderating effect, more so among farmers with lower levels of resilience and livestock-reducing production decisions. Enhancing the diversity and precision of subsidies is a future direction of improvement for GECP.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 1","pages":"Article 100040"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of crop straw with different C/N ratio affects CH4 emission and Cd accumulation in rice (Oryza sativa L.) in Cd polluted paddy soils","authors":"Qiongli Bao ,&nbsp;Jiahao Shi ,&nbsp;Zewei Liu ,&nbsp;Yundi Kan ,&nbsp;Wankui Bao","doi":"10.1016/j.csag.2024.100036","DOIUrl":"10.1016/j.csag.2024.100036","url":null,"abstract":"<div><div>Return straw to field is a common practice for straw utilization. However, effects of crop straw with different C/N ratio incorporation on the CH₄ emission and Cd phytoavailaility in Cd-contaminated paddy soils have not been simultanously evaluated. Here, we investigated the impacts of rice straw (RS) and pea straw (PS) incorporation on CH₄ emission and rice Cd available in heavily Cd polluted soil (HP) and lightly polluted soil (LP) through a pot experiment. Results showed that RS and PS significantly increased CH₄ emission in the two soils (<em>p</em> ​&lt; ​0.05). CH₄ emission in PS treatment were greater than that in RS treatment. PS with lower C/N ratio favored to increase soil DOC and SOM (<em>p</em> ​&lt; ​0.05), and promote dominant methanogens of <em>Methanobacterium uliginosum</em> and uncultured <em>Methanocellales</em> archeaon growth (<em>p</em> ​&lt; ​0.05), which mainly contributed to higher CH₄ emisison. The significant influences of straw application on soil chemical parmeters subsequently affected soil different Cd fractions (<em>p</em> ​&lt; ​0.05). Specifically, straw significantly decreased water soluble ​+ ​exchangeable Cd and manganese oxides Cd, but significantly increased other Cd fractions in HP soil (<em>p</em> ​&lt; ​0.05); whereas there were nearly opposite trendancies in LP soil. Thus, roots Cd was mainly determined by soil soluble ​+ ​changeable Cd in HP soil, while it was more likely affected by other Cd fractions except for the soluble ​+ ​exchangeable Cd in LP soil, thereby reduced Cd transport from roots to stems in both soils. Greater effects of PS were displayed in inhibiting rice growth and reducing organs Cd than RS in HP soil, while higher efficiency of RS treatment on improving rice growth than that of PS was found in LP soil (<em>p</em> ​&lt; ​0.05). The results can provide a basis for scientific straw returning in Cd contaminated paddy field, achieving safe rice production and reducing carbon emission.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 1","pages":"Article 100036"},"PeriodicalIF":0.0,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Amine ester improves rice growth and resistance by promoting ammonium and potassium uptake","authors":"Dandan Li ,&nbsp;Zhonghua Sun ,&nbsp;Jin Chu ,&nbsp;Hao Zheng ,&nbsp;Weichang Xu ,&nbsp;Cui Wan ,&nbsp;Xianfu Zheng ,&nbsp;Yuanhu Xuan","doi":"10.1016/j.csag.2024.100035","DOIUrl":"10.1016/j.csag.2024.100035","url":null,"abstract":"<div><div>Fertilizers play a crucial role in improving crop yields; however, excessive fertilizer application leads to environmental pollution, increases greenhouse gas emissions, and contributes to global warming. Therefore, improving fertilizer efficiency is of great significance for crop production and ecological security. Octanoic acid (OA), a type of straight-chain saturated fatty acid commonly found in plants and animals, is known to promote plant growth. In this study, we synthesized amine esters (AE) using OA as the precursor. AE demonstrated a greater growth-promoting effect than OA. To further explore the mechanism underlying AE-induced growth promotion, the responses of macro-element transporter mutants to AE were analyzed. Genetic and physiological studies indicated that mutants of <em>potassium channel AKT1</em> and <em>ammonium transporter 1</em> (<em>AMT1</em>) inhibited AE-induced growth promotion in rice seedlings, whereas mutants of <em>nitrate transporter 1.1B</em> (<em>NRT1.1B</em>) and <em>phosphate transporter 8</em> (<em>PT8</em>) did not significantly inhibit AE-induced growth. Additionally, yeast rescue assays revealed that AE significantly enhanced the absorption of ammonium and potassium ions. <em>Glutamine synthetase 1</em> (<em>gs1;1</em>) mutants exhibited a response similar to that of <em>AMT1</em> RNAi, which inhibited AE-induced growth promotion. Furthermore, the administration of AE led to increased chlorophyll accumulation and enhanced resistance to rice blast and sheath blight (ShB) via the potassium and ammonium pathways, respectively. AE also improved tolerance to saline and saline-alkaline stresses through these pathways. In conclusion, AE represents a novel fertilizer additive that promotes rice growth and enhances tolerance to biotic and abiotic stresses by activating ammonium and potassium uptake.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 1","pages":"Article 100035"},"PeriodicalIF":0.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}