Climate Smart Agriculture最新文献

{"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}

{"title":"Effect of elevated temperature and CO2 on growth of two early-maturing potato (Solanum tuberosum L.) varieties","authors":"Chang Liu ,&nbsp;Yafei Li ,&nbsp;Yibo Liu ,&nbsp;Philip Kear ,&nbsp;Yan Feng ,&nbsp;Lei Wang ,&nbsp;Dong Wang ,&nbsp;Minsang Luo ,&nbsp;Jieping Li","doi":"10.1016/j.csag.2024.100034","DOIUrl":"10.1016/j.csag.2024.100034","url":null,"abstract":"<div><div>Climate change will significantly reduce potato yields across the world and have a profound impact on food security. However, the effects of changing climatic conditions on various traits of early-maturing potatoes at their different stages of growth are not clear. Therefore, 19 plant traits were investigated across the entire growth period of two major early-maturing potato varieties: Favorita and Zhongshu 5. These were grown in a temperature/CO₂-controlled walk-in chamber under four treatments that simulated the changes predicted in these two climate factors by 2100: Control (ambient temperature 21 ​°C; ambient CO₂ 400 ​μmol ​mol⁻¹), eT (elevated temperature 24 ​°C; ambient CO₂ 400 ​μmol ​mol⁻¹), eCO₂ (ambient temperature, 21 ​°C; elevated CO₂ 800 ​μmol ​mol⁻¹), and eTeCO₂ (elevated temperature 24 ​°C; elevated CO₂ 800 ​μmol ​mol⁻¹). Elevating ambient temperature by 3 ​°C (eT), elevating CO₂ concentration to 800 ​μmol ​mol⁻¹ (eCO₂), and a combination of both treatments (eTeCO₂) brought forward potato tuber initiation by approximately 10 days. eT treatment reduced the yield of Favorita by 83 ​% and Zhongshu 5 by 52 ​%, but simultaneously elevating the CO₂ concentration (eTeCO₂) alleviated the negative effects of higher temperature on plant morphology and biomass. Favorita exhibited greater stability than Zhongshu 5 under all treatment conditions. These findings will guide the development, cultivation, and research of climate-resilient potatoes as an adaptation to climate change to strengthen food security.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"2 1","pages":"Article 100034"},"PeriodicalIF":0.0,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747362","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":"Trends in the research on soil nitrogen leaching from farmland: A bibliometric analysis (2014–2023)","authors":"Caixia Hu,&nbsp;Xinrui Wang,&nbsp;Jie Li,&nbsp;Lan Luo,&nbsp;Fang Liu,&nbsp;Wenhao Wu,&nbsp;Yan Xu,&nbsp;Houyu Li,&nbsp;Bingcang Tan,&nbsp;Guilong Zhang","doi":"10.1016/j.csag.2024.100026","DOIUrl":"10.1016/j.csag.2024.100026","url":null,"abstract":"<div><div>This study aims to explore the current progress, hotspots, and future directions in the research on nitrogen (N) leaching from farmlands. We analyzed 793 publications on N leaching published from 2014 to 2023, which were collected from the Web of Science Core Collection database, using bibliometric tools such as CiteSpace and VOSviewer to visualize research networks and the thematic evolution of the field. The results revealed that China and the USA were the leading contributors to this field, which was driven by environmental policies and agricultural challenges in these countries. The Chinese Academy of Sciences, in cooperation with other institutions, produced the highest number of publications, reflecting a significant impact. High-frequency keywords, including “nitrate leaching,” “nitrogen management,” “cropping system,” and “yield,” indicated that the primary research themes were related to optimizing N fertilizer use efficiency while minimizing environmental impacts. Furthermore, emerging terms such as “organic nitrogen,” “controlled release urea,” and “microbial biomass” provided new insights into evolving research directions, emphasizing the crucial role of integrating sustainable nutrient management strategies to address groundwater quality and environmental sustainability goals. Despite these advances, a gap remains in understanding the link between microbial community dynamics, particularly in terms of functional microbes involved in the N cycle, and N leaching. In future studies, researchers should prioritize investigations of the role of microbiomes in N loss from farmlands by employing advanced modeling approaches and utilizing stable isotope tracing techniques to advance the field. These findings provide valuable guidance for future research directions and policy-making efforts to enhance agricultural sustainability and environmental protection.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"1 2","pages":"Article 100026"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663825","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":"The potential to reduce runoff generation through improving cropping and tillage practices in a sub-humid continental climate","authors":"Jian Liu ,&nbsp;David A. Lobb ,&nbsp;Jane A. Elliott ,&nbsp;Merrin L. Macrae ,&nbsp;Helen M. Baulch ,&nbsp;Diogo Costa","doi":"10.1016/j.csag.2024.100021","DOIUrl":"10.1016/j.csag.2024.100021","url":null,"abstract":"<div><div>Agricultural sustainability is threatened by both water deficit and water excess, especially at the presence of extreme meteorological events resulting from climate change. However, there has been lack of demonstrations on management options with long-term values for agricultural adaptation to runoff. Using 20 years of monitoring data (1993–2012) for two experimental fields in the Canadian Prairies as a case study, we quantified the effects of rainfall characteristics, crop type and biomass, and tillage on growing-season runoff generation using regression analyses and thereafter scenario comparisons. With growing-season gross rainfall ranging between 183 and 456 ​mm, runoff responses varied between 0 and 59 ​mm. Over the 20-year study period, 70%–74 ​% of the growing-season runoff was generated by rainfall events &gt;100 ​mm. Compared to high-intensity tillage, long-term conservation tillage reduced both overall runoff and runoff in large events likely by improving water infiltration. Under both tillage methods, growing-season runoff significantly increased with increasing rainfall but decreased with increasing biomass (R² range: 0.40–0.58; <em>p</em> range: 0.0007–0.02). At the event level, the rainfall-runoff relationship followed a piecewise regression model (C_d ​= ​0.82; <em>p</em> ​&lt; ​0.0001; “breakpoint” rainfall event ​= ​105 ​mm), in which runoff increased slowly before reaching the “breakpoint” but rose sharply afterwards. Due to a greater biomass, canola resulted in less runoff than wheat. Scenario analyses showed that increasing crop biomass by 50 ​% under the current average rainfall conditions could reduce runoff by 81–86 ​% in wheat and 100 ​% in canola. The reduction may be attributed to the combined effects of crop on interception, evapotranspiration, and infiltration. In conclusion, although in a sub-humid continental climate like the Canadian Prairies there are generally low amounts of rainfall runoff, this study demonstrates significant runoff in some years, especially following large rainfall events. Runoff generation can be significantly reduced through improving cropping and tillage practices, and such effects on regional water retention should be further assessed by considering the past and future changes in climate and management.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"1 2","pages":"Article 100021"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663872","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":"Leveraging crop yield forecasts using satellite information for early warning in Senegal","authors":"Shweta Panjwani ,&nbsp;Mahesh Jampani ,&nbsp;Mame H.A. Sambou ,&nbsp;Giriraj Amarnath","doi":"10.1016/j.csag.2024.100024","DOIUrl":"10.1016/j.csag.2024.100024","url":null,"abstract":"<div><div>Agricultural losses driven by climate variability and anthropogenic pressures have severely impacted food security in Senegal. There is a crucial need to generate early warning signals for the upcoming season to enhance food security in response to the sudden climate shocks like drought. In this study, we investigated the spatial distribution of maize and groundnut using factor analysis with a principal component approach. We aimed to identify suitable predictors of crop yields for the development of a seasonal yield prediction model. Subsequently, multi-regression analysis was performed to predict crop yield based on various combinations of satellite-derived vegetation and climate (rainfall) datasets as well as agronomic data from Senegal's 40 districts between 2010 and 2021. Studies revealed a strong correlation between seasonal rainfall (May to September) and crop yield: a 10–20 ​% decline in rainfall can lead to crop losses. The accuracy of the yield prediction model, built on the best performing scenarios for each district based on monsoon onset, duration, and planting time, exceeded 0.5 (R-squared) for all districts when combining rainfall and normalized difference vegetation index (NDVI) data. The model prediction accuracy varied between 0.6 and 0.8 for major crop growing areas. The study emphasizes that refining the yield prediction model using machine learning techniques can improve its accuracy and enable its implementation in early warning systems. This enhanced capability could bolster Senegal's resilience to climate change by aiding decision-makers and planners in developing more effective strategies to ensure food security.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"1 2","pages":"Article 100024"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664234","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":"Assessing spatiotemporal variations of soil organic carbon and its vulnerability to climate change: A bottom-up machine learning approach","authors":"Qichen Wang ,&nbsp;Yinuo Shan ,&nbsp;Wenbo Shi ,&nbsp;Fubo Zhao ,&nbsp;Qiang Li ,&nbsp;Pengcheng Sun ,&nbsp;Yiping Wu","doi":"10.1016/j.csag.2024.100025","DOIUrl":"10.1016/j.csag.2024.100025","url":null,"abstract":"<div><div>Soil organic carbon (SOC) is a crucial component of the terrestrial carbon cycle and essential for agricultural productivity. Quantifying its sensitivity to future climate change is vital for sustaining agricultural practices and mitigating greenhouse gas emissions. However, this remains a challenge as long-term SOC data are scarce and substantial uncertainties regarding future climate scenarios. This study presents a bottom-up machine learning framework to assess the spatiotemporal variations of SOC and its vulnerability to climate change in the Jinghe River Basin, a typical loess hilly and gully watershed. Firstly, the long-term (2000–2023) dynamics of SOC was estimated by integrating in-situ measurements with machine learning techniques. Results show that the high SOC values are primarily distributed in the farmland of the mountain-loess transition zone, while the low-value areas are mainly found in the loess region. During the study period, the SOC content exhibited a slight increasing trend with a rate of 0.02 ​g ​kg⁻¹ ​yr⁻¹ (<em>p</em> ​= ​0.449). The vulnerability of farmland surface SOC to future climate change was then evaluated by combining a robust machine learning model with the bottom-up framework. To this end, the study explored a wide range of possible future climates to identify critical climate thresholds and their spatial variation across the basin’s farmlands. Based on this analysis, this research found that the farmland in the northern basin is generally more susceptible to changing climate with even marginal rises in temperature could lead to severe loss in SOC. These results highlight the need for proactive climate adaptation strategies to safeguard SOC in vulnerable agricultural landscapes, ensuring soil health and resilience in the face of climate change.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"1 2","pages":"Article 100025"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663824","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":"Maize–peanut intercropping and N fertilization changed the potential nitrification rate by regulating the ratio of AOB to AOA in soils","authors":"Yongyong Zhang ,&nbsp;Fengyan Zhao ,&nbsp;Zhanxiang Sun ,&nbsp;Wei Bai ,&nbsp;Chen Feng ,&nbsp;Anita C. Risch ,&nbsp;Liangshan Feng ,&nbsp;Beat Frey","doi":"10.1016/j.csag.2024.100023","DOIUrl":"10.1016/j.csag.2024.100023","url":null,"abstract":"<div><div>Maize–peanut intercropping could potentially mitigate nitrogen (N) loss from the soil, a process primarily governed by the net nitrification rate. However, the impact of maize–peanut intercropping on the potential nitrification rate (PNR) and its relationships with key players, such as ammonia-oxidizing archaea (AOA) and ammonia-oxidizing bacteria (AOB), are not well understood. Herein, we conducted a field experiment involving two management systems and two crops, namely, maize (MP_m) and peanut (MP_p) intercropping, maize monoculture (MM), and peanut monoculture (PM), under three N fertilization rates (no N fertilization, 150 ​kg ​N ​ha⁻¹, and 300 ​kg ​N ​ha⁻¹). Under intercropping (MP_m and MP_p), the abundance of AOA <em>amoA</em> gene increased by 64.8 ​% and 60.3 ​% and the abundance of AOB <em>amoA</em> gene increased by 63.2 ​% and 68.2 ​% compared to the MM and PM monoculture systems, respectively. Furthermore, the abundances of AOA and AOB decreased in MP_p and MM, while AOB increased in MP_m and PM across the N fertilization gradient. The PNR increased corresponding to the N fertilization rates, with intercropping enhancing the PNR in peanut-planted soil but reducing the PNR in maize-planted soil compared to monocropping. Notably, no significant positive relationship between the abundances of AOA or AOB and the PNR. Random forest analysis indicated that the AOB/AOA ratio was an important predictor of the PNR. N fertilization and intercropping regulated the AOB/AOA ratio mainly through controlling the ammonia content and the soil C/N, respectively. These findings highlight the substantial impacts of N fertilization and intercropping on PNR, with the AOB/AOA ratio emerging as a valuable predictive indicator for the PNR.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"1 2","pages":"Article 100023"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572083","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":"Unveiling the top-down control of soil viruses over microbial communities and soil organic carbon cycling: A review","authors":"Shuo Wang ,&nbsp;Dong Zhu ,&nbsp;Tida Ge ,&nbsp;Yongfeng Wang ,&nbsp;Ying Zhang ,&nbsp;Chao Liang ,&nbsp;Hanpeng Liao ,&nbsp;Xiaolong Liang","doi":"10.1016/j.csag.2024.100022","DOIUrl":"10.1016/j.csag.2024.100022","url":null,"abstract":"<div><div>Soil viruses play a pivotal yet underexplored role in microbial community succession and soil organic matter (SOM) turnover. This review synthesizes current knowledge on the mechanisms by which soil viruses influence SOM dynamics. It highlights how viral lysis accelerates microbial turnover and restructures microbial communities and how these processes rewire nutrient cycling and substantially fuel microbial metabolism. Furthermore, we also discussed the critical roles of virus-carried auxiliary metabolic genes (AMGs) in microbial processes, the degradation of complex organic materials and nutrient cycling. In together, this review emphasizes the significance of virus-microbe interactions in regulating SOM formation, transformation, and stabilization, and underscores the need and urgency for further research to achieve a comprehensive understanding of how soil viruses contribute to carbon cycling and ecosystem sustainability. Understanding virus-microbe-environment interactions is crucial for developing strategies to enhance soil carbon storage, mitigate climate change, and promote sustainable soil management practices.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"1 2","pages":"Article 100022"},"PeriodicalIF":0.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527510","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":"An exploration of the latest developments, obstacles, and potential future pathways for climate-smart agriculture","authors":"Asif Raihan ,&nbsp;Mohammad Ridwan ,&nbsp;Md Shoaibur Rahman","doi":"10.1016/j.csag.2024.100020","DOIUrl":"10.1016/j.csag.2024.100020","url":null,"abstract":"<div><div>Global climate change presents major challenges to agricultural production, the most significant this century being mitigating greenhouse gas (GHG) emissions and achieving food security. Climate-smart agriculture (CSA) is a conceptual framework that offers potential solutions to these multifaceted problems. Sustainable agriculture can be achieved by implementing strategies aimed at enhancing adaptation, reducing GHG emissions, and safeguarding national food security. However, there has been limited critical examination of the advances made in CSA within emerging and developed nations. This study provides a timely, informative, and comprehensive review of the academic literature, collating recent advances, challenges, and potential future directions of CSA. It identifies and analyzes a range of pertinent issues and obstacles, and offers policy recommendations to foster cooperation and drive forward the objectives of CSA. Future development of CSA is expected to focus on leveraging advanced internet technologies to enhance agricultural data security, optimize cropping patterns, and improve management techniques. This will encompass the integration of precision farming and genetic enhancement technologies to boost crop yields in the face of changing climatic conditions.</div></div>","PeriodicalId":100262,"journal":{"name":"Climate Smart Agriculture","volume":"1 2","pages":"Article 100020"},"PeriodicalIF":0.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358736","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}