Agriculture Communications最新文献

{"title":"Transcriptional analysis of maize elite inbred line Jing24 and the function of ZmMAPKKK21 in the response to drought stress","authors":"Wen Ren ,&nbsp;Zi Shi ,&nbsp;Yongxin Zhao ,&nbsp;Qian Zhang ,&nbsp;Miaoyi Zhou ,&nbsp;Chen Cheng ,&nbsp;Mengyuan Liu ,&nbsp;Bingbing Zhao ,&nbsp;Yuhui Guo ,&nbsp;Hewei Du ,&nbsp;Xiaozeng Yang ,&nbsp;Ya Liu","doi":"10.1016/j.agrcom.2024.100063","DOIUrl":"10.1016/j.agrcom.2024.100063","url":null,"abstract":"<div><div>Drought, one of the most devastating abiotic stresses to affect agricultural production worldwide, causes significant crop yield loss. In China, the yield and value of maize, a drought-sensitive staple crop, is significantly affected by drought conditions. Jing24 (J24), an elite, robust, and drought-resistant maize inbred line, yet the underlying genetic basis for this resistance remains imperfectly understood. We characterized the overall performance of three maize varieties (J24, B73, and X178) under moderate and severe drought conditions at seedling and flowering stages. RNA-Seq analysis revealed more genes to respond to drought treatment in J24 than in either B73 or X178, with some drought-responsive genes were common to each line in leaf and root tissues. Gene ontology analysis of common differentially expressed genes in J24 and X178 showed ​that membrane and transporter-related genes were significantly enriched in roots, whereas genes associated with photosynthesis and membrane were most-enriched in leaves. The expression of <em>ZmMAPKKK21</em> was significantly up-regulated in the root of J24 in the moderate drought treatment, the transgenic <em>Arabidopsis</em> plants overexpressing ZmMAPKKK21 we obtained exhibited a substantial reduction in ABA sensitivity and ​an increase in drought tolerance. In contrast, maize plants in which ZmMAPKKK21 was knocked out were more sensitive to water deficiency, and have a smaller root system and a lower survival rate after rewatering than wild type plants. These results suggest that ZmMAPKKK21 is a positive regulator for drought response in J24, which provides insights into the molecular mechanism underlying the strong drought resistance of J24.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 4","pages":"Article 100063"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162571","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":"Integrated omics profiles for exploring the potential mechanism underlying aroma formation in the terpenoid-rich aromatic plant Opisthopappus taihangensis and the bioactivity of its leaf essential oil","authors":"Maolin Liu ,&nbsp;Yushu Li ,&nbsp;Haixia Chen ,&nbsp;Chunjie He ,&nbsp;Lei Sun ,&nbsp;Xiuhai Zhang ,&nbsp;Zongda Xu ,&nbsp;Hua Liu","doi":"10.1016/j.agrcom.2024.100061","DOIUrl":"10.1016/j.agrcom.2024.100061","url":null,"abstract":"<div><div><em>Opisthopappus taihangensis</em> (Anthemideae, Asteraceae), which is rich in bioactive components, produces flowers and leaves with robust fragrances. In this study, we conducted comprehensive metabolomic and transcriptomic analyses to identify changes in terpenoid metabolites and associated gene expression across various <em>O. taihangensis</em> tissues (leaves, buds, and inflorescences at the exposure, initial-bloom, and full-bloom stages). We identified 1370 metabolites using headspace solid-phase micro-extraction/gas chromatography-mass spectrometry (HS-SPME/GC–MS), 308 of which were terpenoid metabolites. The expression of terpenoid synthesis-related genes was relatively consistent with the synthesis of terpenoid metabolites at each examined developmental stage. An analysis of gene networks governing terpenoid synthesis revealed that <em>MCT</em> genes (<em>OtMCT1</em>, <em>OtMCT2</em>, and <em>OtMCT3</em>), <em>TPS</em> genes (<em>OtTPS5</em>, <em>OtTPS9</em>, and <em>OtTPS10</em>), and <em>OtISPS1</em> may be crucial for synthesizing specific metabolites in different tissues. Additionally, the essential oil extracted from leaves by water distillation showed that thujone and camphor were the predominant components. The considerable antioxidant activity of the leaf essential oil was comparable to that of vitamin C (16 ​μg/mL). Notably, its antimicrobial effects against <em>Staphylococcus aureus</em> and <em>Escherichia coli</em> growth were greater than those of ampicillin and vancomycin at the same concentrations. Scanning electron microscopy images indicated that the leaf essential oil significantly disrupted bacterial cell structures. This study thoroughly analyzed the network of genes regulating terpenoid metabolites in different <em>O. taihangensis</em> tissues, and elucidated the antioxidant and antibacterial potential of the leaf essential oil, thus providing valuable insights for breeding, molecular characterization, and the potential application of <em>O. taihangensis</em> in developing useful essential oil-based natural products.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 4","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163102","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":"Transcriptome analysis provides preliminary insights into the response of Sepia esculenta to high salinity stress","authors":"Zan Li ,&nbsp;Xiaokai Bao ,&nbsp;Xiumei Liu ,&nbsp;Yongjie Wang ,&nbsp;Xueyu Zhu ,&nbsp;Yuwei Zhang ,&nbsp;Zhenwei Wang ,&nbsp;Sergei Maslennikov ,&nbsp;Michael Whiteside ,&nbsp;Weijun Wang ,&nbsp;Xiaohui Xu ,&nbsp;Bin Li ,&nbsp;Qihao Luo ,&nbsp;Yan Li ,&nbsp;Shuhai Wang ,&nbsp;Bin Hu ,&nbsp;Jianmin Yang","doi":"10.1016/j.agrcom.2024.100064","DOIUrl":"10.1016/j.agrcom.2024.100064","url":null,"abstract":"<div><div><em>Sepia esculenta</em> is an economically important cephalopod species contributing to aquaculture in China. Global climate changes have increased fluctuations in the ocean salinity level, which is a major problem for <em>S. esculenta</em> populations because extreme changes in salinity may be fatal to marine life. In this study, <em>S. esculenta</em> larvae were subjected to high salinity stress to investigate their stress resistance mechanisms. High-throughput transcriptome sequencing technology was used to detect transcript-level changes in samples. A total of 1126 significant differentially expressed genes were identified. The results of functional enrichment analyses showed that high salinity activated apoptosis and several innate immunity-related pathways in <em>S. esculenta</em> larvae. On the basis of a protein–protein interaction network analysis, PARP1, PIK3CB and FLNA were identified as hub genes involved in larval resistance to high salinity. Quantitative real-time PCR technology was used to analyze gene expression and verify the accuracy of the transcriptome sequencing results. The process of apoptosis can restrict high salinity-induced tissue damage, while the activation of an inflammatory response can maintain cellular homeostasis. Therefore, we speculate that high salinity induces innate immunity and apoptosis in <em>S. esculenta</em> larvae and modulates growth and development. These findings also suggest that aquaculture losses due to increased seawater salinity must be prevented in artificial aquaculture systems.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 4","pages":"Article 100064"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163103","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":"Evaluation of the impact of heat stress at flowering on spikelet fertility and grain quality in barley","authors":"Camilla Beate Hill ,&nbsp;Tefera Tolera Angessa ,&nbsp;Sharon Westcott ,&nbsp;Lee-Anne McFawn ,&nbsp;Hamid Shirdelmoghanloo ,&nbsp;Yong Han ,&nbsp;Chengdao Li","doi":"10.1016/j.agrcom.2024.100066","DOIUrl":"10.1016/j.agrcom.2024.100066","url":null,"abstract":"<div><div>Against the backdrop of a warming climate, heat stress has become one of the most limiting factors to crop productivity and food security worldwide. The flowering stage is susceptible to high temperatures in cereal crops, leading to severe grain yield losses by decreasing fertility and seed-setting rate. Our objective was to (1) assess a global panel of 572 barley varieties with contrasting genetic backgrounds for various agronomic traits related to spikelet fertility and grain quality, (2) identify barley germplasm with superior spikelet fertility and seed set under extreme heat conditions, and (3) understand the relationship between spikelet fertility and grain quality traits under heat stress at flowering time. Delayed sowing in target field environments as well as combined birdcage and heat chamber experiments were conducted in Western Australia for two consecutive years. Twenty-one agronomic traits, including spikelet fertility, grain plumpness, thousand-kernel weight, and screenings, were assessed when heat stress occurred during the crucial flowering period. Our study showed that varieties that flowered during heat stress periods recorded an average of 5–20 ​% lower spikelet fertility than those flowered outside the stress windows. Varieties with high or reduced spikelet fertility under heat stress were identified in the barley panel and showed significant differences of more than 80 ​% in Australian varieties. Based on decreased spikelet fertility, several research lines, but only a few cultivars, maintain spikelet fertility after heat stress compared to control conditions, providing evidence of adaptation to high temperatures in some genotypes. Our study shows that spikelet fertility at high temperatures is a valuable screening tool for heat tolerance during the reproductive phase. Information on heat-tolerant and susceptible varieties can improve the spikelet fertility of the next generation of barley cultivars and enhance adaptation to a changing climate.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 4","pages":"Article 100066"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162570","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":"A pig behavior-tracking method based on a multi-channel high-efficiency attention mechanism","authors":"Qifeng Li ,&nbsp;Zhenyuan Zhuo ,&nbsp;Ronghua Gao ,&nbsp;Rong Wang ,&nbsp;Na Zhang ,&nbsp;Yan Shi ,&nbsp;Tonghui Wu ,&nbsp;Weihong Ma","doi":"10.1016/j.agrcom.2024.100062","DOIUrl":"10.1016/j.agrcom.2024.100062","url":null,"abstract":"<div><div>Given that the pig behavior reflects their health status, continuous and precise monitoring of behavior is important for effective health management and welfare protection. To mitigate potential tracking failures during analysis of video footage, we introduced a novel multi-target pig tracking method that consisted of detection and tracking components. The detection model was enhanced with an efficient attention mechanism and a Cross Stage Partial Darknet backbone network, which significantly improved detection accuracy. The tracking component used the Bytetrack algorithm to accurately track the movement trajectories of individual pigs. Together, these components were combined into the Dual-YOLOX-Tiny-ByteTrack (DYTB) model, which demonstrated superior performance in automatic monitoring of pig behaviors compared to previously published approaches. We established multi-object pig tracking datasets with 180,321 images to evaluate this method. The DYTB method achieved a pig detection accuracy of 98.3% and tracking accuracies of 95.3% and 97.1%. Compared to the YOLOX-Tiny-ByteTrack base model, DYTB showed a 3.4% improvement in multiple object tracking accuracy, making it a robust method for non-contact, intelligent monitoring of pig health and contributing to advances in precision livestock farming.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 4","pages":"Article 100062"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163101","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":"Integration of a parameter combination discriminator improves the accuracy of chlorophyll inversion from spectral imaging of rice","authors":"Fenghua Yu ,&nbsp;Juchi Bai ,&nbsp;Jianyu Fang ,&nbsp;Sien Guo ,&nbsp;Shengfan Zhu ,&nbsp;Tongyu Xu","doi":"10.1016/j.agrcom.2024.100055","DOIUrl":"10.1016/j.agrcom.2024.100055","url":null,"abstract":"<div><p>The PROSPECT model, widely employed for leaf radiation transfer analysis, relies heavily on input biochemical parameters to calculate spectral reflectance. This dependence often results in similar simulated spectra for different parameter combinations, which complicates the inversion of leaf chlorophyll content (Cab). To address this ill-posed problem, we enhanced the model's application by integrating a support vector machine (SVM)-based parameter combination discriminator with the Look-Up Table (LUT) constructed from the PROSPECT model. We marked samples in the LUT to reflect their closeness to measured parameters, facilitating the identification of reasonable versus unreasonable parameter combinations. The discriminator could effectively discriminate between reasonable and unreasonable parameter combinations, achieving accuracies of 0.894 and 0.888 in the training and test sets, respectively. The discriminator was then employed to refine the LUT, and an improved third-generation non-dominated ranking genetic algorithm (NSGA-III) was used to optimize the extreme learning machine. The inversion of rice Cab using the refined LUT and the NSGA-III demonstrated substantial improvements. The LUT was significantly improved after integration with the discriminator, yielding R² and RMSE of 0.665 and 7.220 ​μg ​cm⁻², respectively. The NSGA-III inversion, which utilized the “constraint method” with discriminator results as optimization objectives, achieved the best inversion accuracy, with R² and RMSE values of 0.809 and 4.788, respectively. This study demonstrates that the effective use of a parameter discriminator can significantly enhance the accuracy of Cab inversion based on the PROSPECT model, offering a substantial advancement in addressing its inherent ill-posed challenges.</p></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 3","pages":"Article 100055"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949798124000310/pdfft?md5=0e6d0bea9575791d3d27b69824f5f3e0&pid=1-s2.0-S2949798124000310-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142157827","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":"Functional analysis of maize GRAS transcription factor gene ZmGRAS72 in response to drought and salt stresses","authors":"Meng She ,&nbsp;Dengyu Zheng ,&nbsp;Shipeng Zhang ,&nbsp;Zhao Ke ,&nbsp;Zhongyi Wu ,&nbsp;Huawen Zou ,&nbsp;Zhongbao Zhang","doi":"10.1016/j.agrcom.2024.100054","DOIUrl":"10.1016/j.agrcom.2024.100054","url":null,"abstract":"<div><p>Abiotic stresses, such as drought and salt, are major factors affecting plant growth, development, and productivity. The GRAS gene family is a class of transcriptional regulators in plants that influence plant responses to various biotic and abiotic stresses. In this study, we cloned the maize (<em>Zea mays</em> L.) GRAS gene <em>ZmGRAS72</em> and preliminarily analyzed its biological function. <em>ZmGRAS72</em> was highly expressed in maize stems and young leaves, and was induced by abiotic stress and phytohormone treatments. Transient expression assays of maize protoplasts showed that ZmGRAS72 was localized to the nucleus. Heterologous expression of <em>ZmGRAS72</em> in <em>A. thaliana</em> significantly improved plant tolerance to drought and salt stresses, increased chlorophyll content, decreased malondialdehyde content, and enhanced peroxidase activity. In addition, heterologous expression of <em>ZmGRAS72</em> in <em>A. thaliana</em> upregulated or downregulated the expression levels of abscisic acid biosynthesis genes (<em>NCED3</em>), signaling genes (<em>ABI1</em>, <em>ABI2</em>, <em>ABI4</em>, and <em>ABI5</em>), and stress-related genes (<em>RD22</em>, <em>RD29A</em>, and <em>KIN1</em>) under abiotic stress. These results indicate that <em>ZmGRAS72</em> may be responsive to abiotic stress, which forms a basis for further research on the mechanisms underlying the action of <em>ZmGRAS72</em> in maize.</p></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 3","pages":"Article 100054"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949798124000309/pdfft?md5=82c7b11e7a4f49e60ab268a1b9aca4a8&pid=1-s2.0-S2949798124000309-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136903","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":"Model for prediction of pesticide residues in soybean oil using partial least squares regression with molecular descriptors selected by a competitive adaptive reweighted sampling algorithm","authors":"Yonghong Shi ,&nbsp;Fengzhong Wang ,&nbsp;Hong Xie ,&nbsp;Bei Fan ,&nbsp;Long li ,&nbsp;Zhiqiang Kong ,&nbsp;Yatao Huang ,&nbsp;Zhipeng Wang ,&nbsp;Daoyong Lei ,&nbsp;Minmin Li","doi":"10.1016/j.agrcom.2024.100053","DOIUrl":"10.1016/j.agrcom.2024.100053","url":null,"abstract":"<div><p>We developed a partial least squares regression (PLSR) model based on competitive adaptive reweighted sampling (CARS) to predict the processing factors of 54 pesticides during soybean oil processing. Characteristic variables were selected to improve the performance of the model. Four calculators were used to compute the molecular descriptors used in the model, and the model based on values computed with ChemoPy produced the best results: <em>Rc</em> ​= ​0.94, <em>RMSEc</em> ​= ​0.67, <em>Rp</em> ​= ​0.91, and <em>RMSEp</em> ​= ​0.54 for hot-pressed oil and <em>Rc</em> ​= ​0.93, <em>RMSEc</em> ​= ​0.73, <em>Rp</em> ​= ​0.93, and <em>RMSEp</em> ​= ​0.59 for cold-pressed oil. A rapid and quantitative model of processing factors was established to predict the behaviour and distribution of pesticide residues during food processing. The model was further validated using data from field-grown soybeans; it demonstrated a high correlation coefficient between predicted and measured residue concentrations (<em>Rp</em> ​&gt; ​0.93, <em>RMSEp</em> ​&lt; ​0.72) and successfully predicted the distribution and behaviour of pesticide residues. Our model provides a reference for assessing safety risk and determining the maximum residue limits for pesticides in processed products.</p></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 3","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949798124000292/pdfft?md5=cdd9f7cb543e5c5b02429d2befb05d2c&pid=1-s2.0-S2949798124000292-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142041281","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":"Effects of different water management strategies on critical nitrogen concentration dilution curves, nitrogen accumulation, and grain yield in winter wheat","authors":"Junsheng Lu ,&nbsp;Tiantian Hu ,&nbsp;Yue Li ,&nbsp;Xiaolu Cui ,&nbsp;Minghui Cheng ,&nbsp;Shicheng Yan ,&nbsp;Youzhen Xiang ,&nbsp;Junliang Fan ,&nbsp;Fucang Zhang ,&nbsp;Youcai Xiong","doi":"10.1016/j.agrcom.2024.100052","DOIUrl":"10.1016/j.agrcom.2024.100052","url":null,"abstract":"<div><p>The Nitrogen Nutrition Index (NNI), based on the Critical Nitrogen Concentration (N_c), is widely utilized to evaluate crop nitrogen nutrition. However, the impact of water deficit on crop N_c remains unclear. To address this, a 3-year joint water-nitrogen regulation experiment on winter wheat was conducted to investigate the responses of N_c dilution curve parameters (A1 and A2 in N_c ​= ​A1DM^−A2, where DM represents aboveground dry biomass), nitrogen accumulation (NA), and grain yield (GY) to different water management strategies. The study employed Bayesian statistical methods to establish the N_c dilution curve, which revealed a slightly lower curve compared to that derived using classical methods. The posterior distribution indicated substantial overlap in parameters A1 (89.8%) and A2 (89.4%) between deficit irrigation (DI) and full irrigation (FI). The overlap of parameter A1 was 67.2% between rainfed and irrigated (DI and FI) treatments, whereas for parameter A2, it was only 29.9%. Analysis of variance showed a significant difference (<em>p ​&lt; ​0.05</em>) in parameter A2 between rainfed and irrigated treatments, but no significant differences were found (<em>p ​&gt; ​0.05</em>) between DI and FI treatments. Additionally, NA and GY of winter wheat displayed insignificant differences between irrigation treatments; however, they were, on overage, significantly higher by 31.2% and 23.2%, respectively, under irrigated conditions compared to rainfed conditions. This study is the first to demonstrate that severe water deficit (rainfed conditions) significantly affects parameter A2 of the N_c dilution curve, underscoring the importance of considering actual water conditions in applying the NNI for nitrogen fertilizer management.</p></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 3","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949798124000280/pdfft?md5=571112ed4bbd8a547d1c9cd5f391bd9a&pid=1-s2.0-S2949798124000280-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141979327","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":"Agricultural subsidies and land rental prices: New evidence from meta-analysis","authors":"Junwen Li,&nbsp;Shangpu Li","doi":"10.1016/j.agrcom.2024.100051","DOIUrl":"10.1016/j.agrcom.2024.100051","url":null,"abstract":"<div><p>The capitalization of agricultural subsidies is highly relevant to sustainable agricultural development. This study applies meta-analysis to systematically investigate the overall mean effects of capitalization of agriculture subsidies in China, the EU, and the USA. We explore capitalization rates across different types and recipients, including potential sources of heterogeneity. Our primary objective is to address the debate of whether agricultural subsidies are ultimately capitalized into land rental prices. Results show that the overall mean effect of subsidies on land capitalization in the European Union (5.5%) is greater than that in the United States (2.9%), with no significant and positive effects observed in Chinese markets. Additionally, we conclude that decoupled payments may not reduce the capitalization of agricultural subsidies in the European Union and the USA. Notably, agricultural subsidies received by landowners/contractors tend to be lower than those received by tenants. Finally, the capitalization of agricultural subsidies is influenced by several potential sources of heterogeneity, including farmland scales, aggregated data, sample sizes, lagged subsidies, and the starting and ending dates of publications. These findings provide comprehensive insights into the capitalization of agricultural subsidies and offer practical policy recommendations for the effective mitigation of capitalization rates.</p></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"2 3","pages":"Article 100051"},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949798124000279/pdfft?md5=3c85ed4f266798f8d5714232ba6a1f22&pid=1-s2.0-S2949798124000279-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853801","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}