首页 > 最新文献

Agriculture Communications最新文献

英文 中文
Coordinated ubiquitination of OsHIPP56 and blast fungus MAX effectors by OsFBX388 regulates rice immunity OsFBX388协同泛素化OsHIPP56和稻瘟病菌MAX效应物调控水稻免疫
Pub Date : 2026-01-06 DOI: 10.1016/j.agrcom.2026.100123
Tiancheng Qiu , Yapu Cheng , Kexing Fang , Yayan Feng , Qingyuan Bai , Vijai Bhadauria , Jun Yang , You-Liang Peng , Wensheng Zhao
Protein ubiquitination by E3 ligases is crucial for plant growth and stress resistance. However, the mechanisms by which E3 ligases regulate rice immunity remain largely unclear. A previous study identified OsFBX388 as an E3 ligase that negatively regulates rice blast resistance. Here, we demonstrate that OsFBX388 interacts with OSK25 via its N-terminal F-box domain, thereby is a component of the SCF complex. Using its C-terminal domain, OsFBX388 targets OsHIPP56, a heavy metal-associated isoprenylated plant protein, for ubiquitination and degradation by the 26S proteasome. Meanwhile, knockout of OsFBX388 or overexpression of OsHIPP56 leads to substantial accumulation of OsHIPP56. Moreover, OsHIPP56 overexpression enhances resistance to multiple blast fungus strains and to bacterial blight without compromising yield. The HMA domain of OsHIPP56 is structurally similar to the integrated domains (IDs) of the sensor NLRs RGA5 and Pikp-1, which recognize the MAX effectors AvrPia and AvrPik-D from the blast fungus, respectively. We found that OsHIPP56 interacts with both AvrPia and AvrPik-D. Notably, AvrPia and AvrPik-D are also targeted by OsFBX388 for ubiquitination and degradation by the 26S proteasome. The interactions between OsHIPP56 and these MAX effectors accelerate the OsFBX388-mediated degradation of both OsHIPP56 and the MAX effectors. Furthermore, OsHIPP56 interacts with the HMA domains of the NLR receptors RGA5 and Pikp-1. Co-expression of OsHIPP56 with the NLR pairs RGA4/RGA5 or Pikp-1/Pikp-2 triggers cell death in rice protoplasts. Collectively, these findings reveal a coordinated regulatory mechanism in rice immunity, where an E3 ligase mediates the ubiquitination of both a host target and pathogen effectors.
E3连接酶介导的蛋白质泛素化对植物生长和抗逆性至关重要。然而,E3连接酶调节水稻免疫的机制在很大程度上仍不清楚。先前的研究发现OsFBX388是一种负调控水稻稻瘟病抗性的E3连接酶。在这里,我们证明OsFBX388通过其n端F-box结构域与OSK25相互作用,因此是SCF复合物的一个组成部分。OsFBX388利用其c端结构域靶向OsHIPP56(一种重金属相关的异戊二烯基化植物蛋白),使其被26S蛋白酶体泛素化和降解。同时,敲除OsFBX388或过表达OsHIPP56会导致OsHIPP56大量积累。此外,OsHIPP56过表达增强了对多种爆炸真菌菌株和细菌性枯萎病的抗性,而不影响产量。OsHIPP56的HMA结构域在结构上与传感器NLRs RGA5和Pikp-1的集成结构域(IDs)相似,这两个NLRs分别识别来自blast真菌的MAX效应物AvrPia和AvrPik-D。我们发现OsHIPP56与AvrPia和AvrPik-D相互作用。值得注意的是,AvrPia和AvrPik-D也是OsFBX388的靶标,可被26S蛋白酶体泛素化和降解。OsHIPP56和这些MAX效应物之间的相互作用加速了osfbx388介导的OsHIPP56和MAX效应物的降解。此外,OsHIPP56与NLR受体RGA5和Pikp-1的HMA结构域相互作用。OsHIPP56与NLR对RGA4/RGA5或Pikp-1/Pikp-2共表达可触发水稻原生质体细胞死亡。总之,这些发现揭示了水稻免疫的协调调节机制,其中E3连接酶介导宿主靶标和病原体效应物的泛素化。
{"title":"Coordinated ubiquitination of OsHIPP56 and blast fungus MAX effectors by OsFBX388 regulates rice immunity","authors":"Tiancheng Qiu ,&nbsp;Yapu Cheng ,&nbsp;Kexing Fang ,&nbsp;Yayan Feng ,&nbsp;Qingyuan Bai ,&nbsp;Vijai Bhadauria ,&nbsp;Jun Yang ,&nbsp;You-Liang Peng ,&nbsp;Wensheng Zhao","doi":"10.1016/j.agrcom.2026.100123","DOIUrl":"10.1016/j.agrcom.2026.100123","url":null,"abstract":"<div><div>Protein ubiquitination by E3 ligases is crucial for plant growth and stress resistance. However, the mechanisms by which E3 ligases regulate rice immunity remain largely unclear. A previous study identified OsFBX388 as an E3 ligase that negatively regulates rice blast resistance. Here, we demonstrate that OsFBX388 interacts with OSK25 via its N-terminal F-box domain, thereby is a component of the SCF complex. Using its C-terminal domain, OsFBX388 targets OsHIPP56, a heavy metal-associated isoprenylated plant protein, for ubiquitination and degradation by the 26S proteasome. Meanwhile, knockout of <em>OsFBX388</em> or overexpression of <em>OsHIPP56</em> leads to substantial accumulation of OsHIPP56. Moreover, <em>OsHIPP56</em> overexpression enhances resistance to multiple blast fungus strains and to bacterial blight without compromising yield. The HMA domain of OsHIPP56 is structurally similar to the integrated domains (IDs) of the sensor NLRs RGA5 and Pikp-1, which recognize the MAX effectors AvrPia and AvrPik-D from the blast fungus, respectively. We found that OsHIPP56 interacts with both AvrPia and AvrPik-D. Notably, AvrPia and AvrPik-D are also targeted by OsFBX388 for ubiquitination and degradation by the 26S proteasome. The interactions between OsHIPP56 and these MAX effectors accelerate the OsFBX388-mediated degradation of both OsHIPP56 and the MAX effectors. Furthermore, OsHIPP56 interacts with the HMA domains of the NLR receptors RGA5 and Pikp-1. Co-expression of OsHIPP56 with the NLR pairs RGA4/RGA5 or Pikp-1/Pikp-2 triggers cell death in rice protoplasts. Collectively, these findings reveal a coordinated regulatory mechanism in rice immunity, where an E3 ligase mediates the ubiquitination of both a host target and pathogen effectors.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"4 1","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Settlements extraction and spatiotemporal analysis with SAM and random forest from high-resolution remote sensing 基于SAM和随机森林的高分辨率遥感聚落提取与时空分析
Pub Date : 2026-01-05 DOI: 10.1016/j.agrcom.2026.100121
Miao Liu , Jing Chen , Xiuyu Liu , Lixin Gao , Zhenhai Li
The pace of urbanization has accelerated with the implementation of the rural revitalization strategy, thereby intensifying spatial changes in rural settlements. Consequently, accurate and efficient extraction of settlements has become crucial. Current methods often rely on manual calibration, which is time-consuming and labor-intensive. Remote sensing technology, capable of capturing surface features over a wide range with high accuracy, offers a viable solution. This study utilized high-resolution multisource remote sensing images from the Google Earth Engine (GEE) to extract settlements in Laoling City. A key contribution was the integrated application of the Segment Anything Model (SAM) algorithm and a random forest (RF) classifier for settlement extraction. Finally, the spatiotemporal changes in settlements across 2002, 2012, and 2022 were analyzed. The following results were obtained: (1) July, August, and September were identified as the best classification periods for settlement extraction. (2) Settlement extraction based on the SAM-RF method had the best classification results, with an overall accuracy of 0.98 and a kappa coefficient of 0.97. (3) Most township settlements expanded gradually, with the most remarkable change observed in Shizhong Subdistrict. The remote sensing-based settlement extraction approach in this study is significant for the coordinated development of urban and rural areas. It also provides strong support for the implementation of revitalization, resource management, and environmental protection.
随着乡村振兴战略的实施,城市化步伐加快,乡村聚落空间变化加剧。因此,准确和有效地提取聚落已变得至关重要。目前的方法往往依赖于人工校准,这是费时费力的。遥感技术能够在大范围内以高精度捕获地表特征,提供了一个可行的解决方案。本研究利用谷歌地球引擎(GEE)的高分辨率多源遥感影像提取了老岭市的聚落。一个关键的贡献是将分段任意模型(SAM)算法和随机森林(RF)分类器集成在沉降提取中。最后,分析了2002年、2012年和2022年城市聚落的时空变化特征。结果表明:(1)7月、8月和9月为沉降提取的最佳分类时段。(2)基于SAM-RF方法的沉降提取分类效果最好,总体准确率为0.98,kappa系数为0.97。(3)大多数乡镇居民点规模逐渐扩大,其中市中区的变化最为显著。本文研究的基于遥感的聚落提取方法对城乡协调发展具有重要意义。它还为实施振兴、资源管理和环境保护提供了有力支撑。
{"title":"Settlements extraction and spatiotemporal analysis with SAM and random forest from high-resolution remote sensing","authors":"Miao Liu ,&nbsp;Jing Chen ,&nbsp;Xiuyu Liu ,&nbsp;Lixin Gao ,&nbsp;Zhenhai Li","doi":"10.1016/j.agrcom.2026.100121","DOIUrl":"10.1016/j.agrcom.2026.100121","url":null,"abstract":"<div><div>The pace of urbanization has accelerated with the implementation of the rural revitalization strategy, thereby intensifying spatial changes in rural settlements. Consequently, accurate and efficient extraction of settlements has become crucial. Current methods often rely on manual calibration, which is time-consuming and labor-intensive. Remote sensing technology, capable of capturing surface features over a wide range with high accuracy, offers a viable solution. This study utilized high-resolution multisource remote sensing images from the Google Earth Engine (GEE) to extract settlements in Laoling City. A key contribution was the integrated application of the Segment Anything Model (SAM) algorithm and a random forest (RF) classifier for settlement extraction. Finally, the spatiotemporal changes in settlements across 2002, 2012, and 2022 were analyzed. The following results were obtained: (1) July, August, and September were identified as the best classification periods for settlement extraction. (2) Settlement extraction based on the SAM-RF method had the best classification results, with an overall accuracy of 0.98 and a kappa coefficient of 0.97. (3) Most township settlements expanded gradually, with the most remarkable change observed in Shizhong Subdistrict. The remote sensing-based settlement extraction approach in this study is significant for the coordinated development of urban and rural areas. It also provides strong support for the implementation of revitalization, resource management, and environmental protection.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"4 1","pages":"Article 100121"},"PeriodicalIF":0.0,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
miR-493-3p promotes porcine muscle satellite cells differentiation and the formation of slow muscle fibers through MKK7/JNK axis miR-493-3p通过MKK7/JNK轴促进猪肌卫星细胞分化和慢肌纤维的形成
Pub Date : 2025-12-01 DOI: 10.1016/j.agrcom.2025.100114
Lingling Wu , Zhaolu Wang , Xiaoting Wu, Yidi Zhang, Gongshe Yang, Jianjun Jin, Xin'e Shi
MicroRNAs (miRNAs) are key regulators of porcine myogenesis. In this study, we elucidated the regulatory role of miR-493-3p in skeletal muscle development. miR-493-3p showed a preferential expression pattern in skeletal muscle, with significantly higher expression in slow-twitch muscle than in fast-twitch muscle. Functional analyses revealed that overexpression of miR-493-3p inhibited the proliferation of porcine primary muscle satellite cells (MSCs) while promoting their differentiation and slow-twitch myofiber formation. In mouse, adeno-associated virus (AAV)-mediated overexpression of miR-493-3p significantly increased the cross-sectional area (CSA) of tibialis anterior muscle and promoted the proportion of slow-twitch myofibers. Furthermore, bioinformatic analysis and Dual-Luciferase Reporter Assay identified MAP kinase kinase 7 (MKK7) as a direct target of miR-493-3p. The miR-493-3p inhibited MKK7 expression, consequently reducing phosphorylated c-Jun N-terminal kinase (p-JNK) levels. Overall, our data demonstrate that miR-493-3p promotes porcine MSC differentiation and slow-twitch myofiber formation via inhibiting the MKK7/JNK axis. This finding enhances our understanding of miRNA-regulated skeletal muscle developmental networks and provides a potential strategy for improving pork production and meat quality.
MicroRNAs (miRNAs)是猪肌肉发生的关键调控因子。在这项研究中,我们阐明了miR-493-3p在骨骼肌发育中的调节作用。miR-493-3p在骨骼肌中表现出优先表达模式,在慢肌肌中的表达明显高于在快肌肌中的表达。功能分析显示,miR-493-3p的过表达抑制了猪原代肌卫星细胞(MSCs)的增殖,同时促进其分化和慢肌纤维的形成。在小鼠中,腺相关病毒(AAV)介导的miR-493-3p过表达显著增加了胫骨前肌的横截面积(CSA),促进了慢肌纤维的比例。此外,生物信息学分析和双荧光素酶报告试验鉴定MAP激酶激酶7 (MKK7)是miR-493-3p的直接靶点。miR-493-3p抑制MKK7的表达,从而降低磷酸化的c-Jun n -末端激酶(p-JNK)水平。总体而言,我们的数据表明,miR-493-3p通过抑制MKK7/JNK轴促进猪间充质干细胞分化和慢肌纤维形成。这一发现增强了我们对mirna调控的骨骼肌发育网络的理解,并为提高猪肉产量和肉质提供了潜在的策略。
{"title":"miR-493-3p promotes porcine muscle satellite cells differentiation and the formation of slow muscle fibers through MKK7/JNK axis","authors":"Lingling Wu ,&nbsp;Zhaolu Wang ,&nbsp;Xiaoting Wu,&nbsp;Yidi Zhang,&nbsp;Gongshe Yang,&nbsp;Jianjun Jin,&nbsp;Xin'e Shi","doi":"10.1016/j.agrcom.2025.100114","DOIUrl":"10.1016/j.agrcom.2025.100114","url":null,"abstract":"<div><div>MicroRNAs (miRNAs) are key regulators of porcine myogenesis. In this study, we elucidated the regulatory role of miR-493-3p in skeletal muscle development. miR-493-3p showed a preferential expression pattern in skeletal muscle, with significantly higher expression in slow-twitch muscle than in fast-twitch muscle. Functional analyses revealed that overexpression of miR-493-3p inhibited the proliferation of porcine primary muscle satellite cells (MSCs) while promoting their differentiation and slow-twitch myofiber formation. In mouse, adeno-associated virus (AAV)-mediated overexpression of miR-493-3p significantly increased the cross-sectional area (CSA) of tibialis anterior muscle and promoted the proportion of slow-twitch myofibers. Furthermore, bioinformatic analysis and Dual-Luciferase Reporter Assay identified <em>MAP kinase kinase 7</em> (<em>MKK7</em>) as a direct target of miR-493-3p. The miR-493-3p inhibited <em>MKK7</em> expression, consequently reducing phosphorylated c-Jun N-terminal kinase (p-JNK) levels. Overall, our data demonstrate that miR-493-3p promotes porcine MSC differentiation and slow-twitch myofiber formation <em>via</em> inhibiting the MKK7/JNK axis. This finding enhances our understanding of miRNA-regulated skeletal muscle developmental networks and provides a potential strategy for improving pork production and meat quality.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100114"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The mechanisms of Wickhamomyces anomalus in control of postharvest black spot disease in tomatoes and the preparation of its biocontrol solid products 反常柳杉防治番茄采后黑斑病的机理及其生物防治固体制品的制备
Pub Date : 2025-12-01 DOI: 10.1016/j.agrcom.2025.100112
Xi Zhang, Marui Zhu, Dhanasekaran Solairaj, Kaili Wang, Qiya Yang, Hongyin Zhang
Postharvest black spot of tomato causes considerable economic losses to the tomato industry. Biological control presents a sustainable and efficient alternative. This study investigated the biocontrol mechanism of Wickhamomyces anomalus and optimized its lyoprotectant formulation using response surface methodology. Results revealed that W. anomalus effectively antagonizes Alternaria alternata by colonizing tomato tissues and inhibiting spore germination and hyphal growth in vitro. Response surface analysis identified the optimal lyoprotectant formulation as follows: sorbitol (6.44 ​g/100 ​mL), skimmed milk powder (10.49 ​g/100 ​mL), L-glutamine sodium (3.18 ​g/100 ​mL), and trehalose (4.94 ​g/100 ​mL). Under this formulation, the survival rate of lyophilized W. anomalus was 85.9 ​%. Notably, the formulation maintained high storage stability, with a survival rate of 67.0 ​% after 90 days. During storage, the biocontrol efficacy against black spot remained robust – the rot rate of W. anomalus-treated tomatoes only increased from 14.1 ​% to 24.0 ​%, demonstrating its persistent biocontrol activity. In conclusion, an efficient and stable biocontrol agent based on W. anomalus has been developed, offering a promising solution for controlling postharvest diseases in tomatoes.
番茄采后黑斑病给番茄产业造成了相当大的经济损失。生物防治是一种可持续和有效的替代方法。本研究利用响应面法研究了柳杉的生物防治机理,并优化了柳杉的药剂配方。结果表明,异常W. anomalus通过在番茄组织中定殖,抑制孢子萌发和菌丝生长,能有效拮抗交替稻瘟病菌。响应面分析确定最佳冻液保护剂配方为:山梨醇(6.44 g/100 mL)、脱脂奶粉(10.49 g/100 mL)、l -谷氨酰胺钠(3.18 g/100 mL)、海藻糖(4.94 g/100 mL)。在此配方下,冻干后的褐飞虱成活率为85.9%。值得注意的是,该配方保持了较高的储存稳定性,90天后的存活率为67.0%。在贮藏过程中,对黑斑病的生物防治效果保持稳定,处理过的番茄腐烂率仅从14.1%提高到24.0%,显示出其持续的生物防治作用。综上所述,开发出了一种高效、稳定的番茄采后病害防治药剂,为防治番茄采后病害提供了一种有前景的解决方案。
{"title":"The mechanisms of Wickhamomyces anomalus in control of postharvest black spot disease in tomatoes and the preparation of its biocontrol solid products","authors":"Xi Zhang,&nbsp;Marui Zhu,&nbsp;Dhanasekaran Solairaj,&nbsp;Kaili Wang,&nbsp;Qiya Yang,&nbsp;Hongyin Zhang","doi":"10.1016/j.agrcom.2025.100112","DOIUrl":"10.1016/j.agrcom.2025.100112","url":null,"abstract":"<div><div>Postharvest black spot of tomato causes considerable economic losses to the tomato industry. Biological control presents a sustainable and efficient alternative. This study investigated the biocontrol mechanism of <em>Wickhamomyces anomalus</em> and optimized its lyoprotectant formulation using response surface methodology. Results revealed that <em>W. anomalus</em> effectively antagonizes <em>Alternaria alternata</em> by colonizing tomato tissues and inhibiting spore germination and hyphal growth <em>in vitro</em>. Response surface analysis identified the optimal lyoprotectant formulation as follows: sorbitol (6.44 ​g/100 ​mL), skimmed milk powder (10.49 ​g/100 ​mL), L-glutamine sodium (3.18 ​g/100 ​mL), and trehalose (4.94 ​g/100 ​mL). Under this formulation, the survival rate of lyophilized <em>W. anomalus</em> was 85.9 ​%. Notably, the formulation maintained high storage stability, with a survival rate of 67.0 ​% after 90 days. During storage, the biocontrol efficacy against black spot remained robust – the rot rate of <em>W. anomalus</em>-treated tomatoes only increased from 14.1 ​% to 24.0 ​%, demonstrating its persistent biocontrol activity. In conclusion, an efficient and stable biocontrol agent based on <em>W. anomalus</em> has been developed, offering a promising solution for controlling postharvest diseases in tomatoes.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
From plants to pest targets: Revisiting botanical insecticides for lepidopteran pest management 从植物到害虫目标:重新审视鳞翅目害虫管理的植物性杀虫剂
Pub Date : 2025-12-01 DOI: 10.1016/j.agrcom.2025.100113
Farman Ullah , Guru-Pirasanna-Pandi Govindharaj , Moazam Hyder , Satyabrata Sarangi , Hina Gul , Xiaowei Li , Raul Narciso C. Guedes , Nicolas Desneux , Yaobin Lu
Botanical insecticides, derived from plant sources, have been used for millennia, long before the advent of synthetic chemicals. Though marginalized since the Green Revolution, growing concerns about the environmental and health impacts of synthetic insecticides have revived interest in these natural alternatives. Lepidopteran pests, particularly caterpillars, remain among the most damaging agricultural threats and are still predominantly managed with synthetic insecticides. Botanical insecticides offer a promising alternative due to their biodegradability, reduced environmental persistence, and diverse bioactivities—including insecticidal, antifeedant, and repellent effects—linked to compounds from neem, jatropha, rotenone-containing plants, and other sources. Recent breakthroughs in nanoformulations, such as nanoemulsions and metallic or polymeric nanoparticles, have significantly enhanced the efficacy, delivery efficiency, and stability of botanical insecticides. Nano-encapsulated extracts—like neem or rosemary extracts combined with silver nanoparticles—have shown superior pest control at lower dosages and reduced phytotoxicity. Yet, these technological advances have outpaced our understanding of their ecological implications. Key knowledge gaps remain regarding long-term environmental impacts, resistance evolution in target pests, and non-target organism effects. Most research continues to focus on a narrow range of plant species and active ingredients, while broader issues like large-scale production, and field-scale efficacy are underexplored. To fully exploit the potential of botanical insecticides, future efforts must prioritize ecological risk assessment, broaden the spectrum of studied plants, and integrate molecular tools such as CRISPR-Cas9, RNA interference (RNAi), transcriptomics, and machine learning. These tools provide deeper insights into pest physiology and resistance mechanisms, promoting precision, resilience, and environmental safety. Realizing this vision will require interdisciplinary collaboration to develop greener extraction methods, establish harmonized regulatory pathways, and conduct rigorous ecological risk assessments.
从植物中提取的植物性杀虫剂已经使用了几千年,远远早于合成化学品的出现。尽管自绿色革命以来被边缘化,但对合成杀虫剂对环境和健康影响的日益关注,重新引起了人们对这些天然替代品的兴趣。鳞翅目害虫,特别是毛虫,仍然是最具破坏性的农业威胁之一,仍然主要使用合成杀虫剂进行管理。植物性杀虫剂是一种很有前途的替代品,因为它们具有生物可降解性,减少了环境持久性,以及多种生物活性——包括杀虫、拒食和驱避作用——与印楝树、麻风树、含鱼藤酮的植物和其他来源的化合物有关。最近在纳米配方方面的突破,如纳米乳液和金属或聚合物纳米颗粒,显著提高了植物性杀虫剂的功效、释放效率和稳定性。纳米胶囊提取物——如印楝树或迷迭香提取物与纳米银颗粒结合——显示出较低剂量的优良害虫防治效果,并降低了植物毒性。然而,这些技术进步已经超过了我们对其生态影响的理解。在长期环境影响、目标害虫的抗性进化和非目标生物效应方面,仍然存在关键的知识空白。大多数研究仍然集中在狭窄的植物种类和活性成分范围内,而大规模生产和田间规模功效等更广泛的问题尚未得到充分探索。为了充分利用植物杀虫剂的潜力,未来的工作必须优先考虑生态风险评估,扩大研究植物的范围,并整合分子工具,如CRISPR-Cas9, RNA干扰(RNAi),转录组学和机器学习。这些工具提供了对害虫生理学和抗性机制的更深入的了解,提高了精度、弹性和环境安全性。实现这一愿景需要跨学科合作,开发更环保的提取方法,建立统一的监管途径,并进行严格的生态风险评估。
{"title":"From plants to pest targets: Revisiting botanical insecticides for lepidopteran pest management","authors":"Farman Ullah ,&nbsp;Guru-Pirasanna-Pandi Govindharaj ,&nbsp;Moazam Hyder ,&nbsp;Satyabrata Sarangi ,&nbsp;Hina Gul ,&nbsp;Xiaowei Li ,&nbsp;Raul Narciso C. Guedes ,&nbsp;Nicolas Desneux ,&nbsp;Yaobin Lu","doi":"10.1016/j.agrcom.2025.100113","DOIUrl":"10.1016/j.agrcom.2025.100113","url":null,"abstract":"<div><div>Botanical insecticides, derived from plant sources, have been used for millennia, long before the advent of synthetic chemicals. Though marginalized since the Green Revolution, growing concerns about the environmental and health impacts of synthetic insecticides have revived interest in these natural alternatives. Lepidopteran pests, particularly caterpillars, remain among the most damaging agricultural threats and are still predominantly managed with synthetic insecticides. Botanical insecticides offer a promising alternative due to their biodegradability, reduced environmental persistence, and diverse bioactivities—including insecticidal, antifeedant, and repellent effects—linked to compounds from neem, jatropha, rotenone-containing plants, and other sources. Recent breakthroughs in nanoformulations, such as nanoemulsions and metallic or polymeric nanoparticles, have significantly enhanced the efficacy, delivery efficiency, and stability of botanical insecticides. Nano-encapsulated extracts—like neem or rosemary extracts combined with silver nanoparticles—have shown superior pest control at lower dosages and reduced phytotoxicity. Yet, these technological advances have outpaced our understanding of their ecological implications. Key knowledge gaps remain regarding long-term environmental impacts, resistance evolution in target pests, and non-target organism effects. Most research continues to focus on a narrow range of plant species and active ingredients, while broader issues like large-scale production, and field-scale efficacy are underexplored. To fully exploit the potential of botanical insecticides, future efforts must prioritize ecological risk assessment, broaden the spectrum of studied plants, and integrate molecular tools such as CRISPR-Cas9, RNA interference (RNAi), transcriptomics, and machine learning. These tools provide deeper insights into pest physiology and resistance mechanisms, promoting precision, resilience, and environmental safety. Realizing this vision will require interdisciplinary collaboration to develop greener extraction methods, establish harmonized regulatory pathways, and conduct rigorous ecological risk assessments.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100113"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Engineering plants to replace fossil carbon 工程工厂取代化石碳
Pub Date : 2025-12-01 DOI: 10.1016/j.agrcom.2025.100116
Robert J. Henry
Reduction in carbon emissions from the use of fossil fuels can be addressed by engineering plants to become a renewable resource to replace fossil carbon. Plant-based production of fuels and chemicals needs to be sustainable and cost competitive. The most abundant source of renewable carbon is lignocellulosic plant biomass. Conversion of this biomass to end products currently generates low yields due to the recalcitrance of lignified biomass. Improved processing technologies have contributed to making this economically feasible but widespread adoption of lignocellulose as a replacement for fossil carbon will require genetically improved plants with a biomass composition that facilitates processing. Large-scale production requires concentrated efforts on species delivering the highest biomass yields. Recent advances in biomass pre-treatment have delivered more cost-effective processing. Developments in the genomics of key biomass species and the availability of advanced spatial omics and gene editing now promise to provide pathways to engineer plant biomass to become a better raw material for these processes and drive rapid adoption.
减少使用化石燃料的碳排放可以通过工程工厂来解决,使其成为替代化石碳的可再生资源。以植物为基础的燃料和化学品生产需要具有可持续性和成本竞争力。可再生碳最丰富的来源是木质纤维素植物生物量。由于木质化生物质的顽固性,目前将这种生物质转化为最终产品的产量很低。改进的加工技术有助于使这种方法在经济上可行,但广泛采用木质纤维素作为化石碳的替代品将需要具有促进加工的生物质成分的基因改良植物。大规模生产需要集中精力在生物量产量最高的物种上。生物质预处理的最新进展提供了更具成本效益的处理。关键生物质物种基因组学的发展以及先进空间组学和基因编辑的可用性,现在有望为设计植物生物质提供途径,使其成为这些过程的更好原料,并推动快速采用。
{"title":"Engineering plants to replace fossil carbon","authors":"Robert J. Henry","doi":"10.1016/j.agrcom.2025.100116","DOIUrl":"10.1016/j.agrcom.2025.100116","url":null,"abstract":"<div><div>Reduction in carbon emissions from the use of fossil fuels can be addressed by engineering plants to become a renewable resource to replace fossil carbon. Plant-based production of fuels and chemicals needs to be sustainable and cost competitive. The most abundant source of renewable carbon is lignocellulosic plant biomass. Conversion of this biomass to end products currently generates low yields due to the recalcitrance of lignified biomass. Improved processing technologies have contributed to making this economically feasible but widespread adoption of lignocellulose as a replacement for fossil carbon will require genetically improved plants with a biomass composition that facilitates processing. Large-scale production requires concentrated efforts on species delivering the highest biomass yields. Recent advances in biomass pre-treatment have delivered more cost-effective processing. Developments in the genomics of key biomass species and the availability of advanced spatial omics and gene editing now promise to provide pathways to engineer plant biomass to become a better raw material for these processes and drive rapid adoption.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100116"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Achieving precision nutrition in pigs through the utilization of mathematical modeling as a fundamental tool: A review of recent work 通过利用数学建模作为基本工具来实现猪的精确营养:最近工作的回顾
Pub Date : 2025-12-01 DOI: 10.1016/j.agrcom.2025.100115
Qile Hu , Yingying Li , Xiangshi Luo , Shuya Zhang , Zhe Li , Xue Bao , Li Wang , Wenxuan Dong , Enkai Li , Lu Wang , Changhua Lai , Shuai Zhang
The pig industry is entering a new era characterized by artificial intelligence (AI) and interdisciplinary integration, with numerous innovative techniques facilitating the achievement of precision nutrition. This review summarizes relevant research on precision pig nutrition based on mathematical modeling conducted at the Ministry of Agriculture and Rural Affairs Feed Industry Centre (MAFIC), China Agricultural University, and compares these findings with studies from other research groups. Previous studies have shown that mathematical modeling is an effective tool for data integration and prediction. However, models in animal nutrition face challenges such as insufficient data and outdated algorithms. Therefore, developing and applying new data-collection methodologies, advanced algorithms, and platforms are necessary to achieve precision nutrition. Two novel, non-invasive, cost-effective, portable, and reproducible techniques – heart rate monitoring and bioelectrical impedance analysis – facilitate real-time predictions of heat production and enable analysis of body composition in pigs. The newly developed algorithms, including classification algorithms, artificial neural networks, data augmentation algorithms, interpretable machine learning algorithms, and multi-objective formulation algorithms, are utilized to forecast the net energy values of feedstuffs, construct nutrient requirement tables, and predict the growth performance of pigs in the context of big data and numerous parameters. Additionally, introducing new software and hardware, such as establishing big data analysis platforms and AI feed formulation software based on large language model architecture, is also significant. Moreover, future advancements in precision feeding equipment are of great interest. Integrating mathematical models with these new methods, algorithms, and software will enable the precise formulation of personalized nutrition plans and optimal adjustment of dietary structures for pigs, providing robust theoretical and practical guidance for the successful implementation of precision nutrition in pig production.
养猪业正在进入以人工智能和跨学科融合为特征的新时代,众多创新技术促进了精准营养的实现。本文综述了中国农业大学农业农村部饲料工业中心(MAFIC)基于数学建模的猪精准营养相关研究,并与其他课题组的研究结果进行了比较。以往的研究表明,数学建模是数据整合和预测的有效工具。然而,动物营养模型面临着数据不足和算法过时等挑战。因此,开发和应用新的数据收集方法、先进的算法和平台是实现精准营养的必要条件。心率监测和生物电阻抗分析这两种新颖、无创、低成本、便携和可重复的技术有助于实时预测猪的产热,并使分析猪的身体成分成为可能。新开发的算法包括分类算法、人工神经网络、数据增强算法、可解释机器学习算法、多目标配方算法等,在大数据和众多参数的背景下,用于预测饲料净能值、构建养分需求表、预测猪的生长性能。此外,引入新的软件和硬件,如建立大数据分析平台和基于大语言模型架构的AI饲料配方软件也很重要。此外,精密进料设备的未来发展是非常有趣的。将数学模型与这些新方法、算法和软件相结合,可以精确制定猪的个性化营养计划,优化调整猪的日粮结构,为猪生产中精确营养的成功实施提供强有力的理论和实践指导。
{"title":"Achieving precision nutrition in pigs through the utilization of mathematical modeling as a fundamental tool: A review of recent work","authors":"Qile Hu ,&nbsp;Yingying Li ,&nbsp;Xiangshi Luo ,&nbsp;Shuya Zhang ,&nbsp;Zhe Li ,&nbsp;Xue Bao ,&nbsp;Li Wang ,&nbsp;Wenxuan Dong ,&nbsp;Enkai Li ,&nbsp;Lu Wang ,&nbsp;Changhua Lai ,&nbsp;Shuai Zhang","doi":"10.1016/j.agrcom.2025.100115","DOIUrl":"10.1016/j.agrcom.2025.100115","url":null,"abstract":"<div><div>The pig industry is entering a new era characterized by artificial intelligence (AI) and interdisciplinary integration, with numerous innovative techniques facilitating the achievement of precision nutrition. This review summarizes relevant research on precision pig nutrition based on mathematical modeling conducted at the Ministry of Agriculture and Rural Affairs Feed Industry Centre (MAFIC), China Agricultural University, and compares these findings with studies from other research groups. Previous studies have shown that mathematical modeling is an effective tool for data integration and prediction. However, models in animal nutrition face challenges such as insufficient data and outdated algorithms. Therefore, developing and applying new data-collection methodologies, advanced algorithms, and platforms are necessary to achieve precision nutrition. Two novel, non-invasive, cost-effective, portable, and reproducible techniques – heart rate monitoring and bioelectrical impedance analysis – facilitate real-time predictions of heat production and enable analysis of body composition in pigs. The newly developed algorithms, including classification algorithms, artificial neural networks, data augmentation algorithms, interpretable machine learning algorithms, and multi-objective formulation algorithms, are utilized to forecast the net energy values of feedstuffs, construct nutrient requirement tables, and predict the growth performance of pigs in the context of big data and numerous parameters. Additionally, introducing new software and hardware, such as establishing big data analysis platforms and AI feed formulation software based on large language model architecture, is also significant. Moreover, future advancements in precision feeding equipment are of great interest. Integrating mathematical models with these new methods, algorithms, and software will enable the precise formulation of personalized nutrition plans and optimal adjustment of dietary structures for pigs, providing robust theoretical and practical guidance for the successful implementation of precision nutrition in pig production.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100115"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development and application of the SNP14K array to accelerate Brassica rapa genetic research SNP14K阵列的开发与应用加速油菜遗传研究
Pub Date : 2025-11-07 DOI: 10.1016/j.agrcom.2025.100111
Bin Zhang , Tongbing Su , Xiaoyun Xin , Weihong Wang , Xiuyun Zhao , Deshuang Zhang , Yangjun Yu , Fenglan Zhang , Peirong Li , Shuancang Yu
Brassica rapa is one of the most important vegetable crops with the largest cultivation area in China. Compared with other genotyping technologies, the Affymetrix Axiom genotyping with single nucleotide polymorphism (SNP) array has become popular due to its high-throughput, flexibility, and efficiency. In this study, we successfully developed the first SNP14K array for B. rapa based on resequencing data from 189 accessions. The array contains 148,399 high-quality SNPs evenly distributed across the genome. Minor Allele Frequency (MAF) analysis indicated that these SNPs are highly polymorphic. Principal component analysis (PCA) clearly distinguished different subspecies among the 189 ​B. rapa accessions. Population structure and phylogenetic analyses demonstrated that the 148,399 high-quality SNPs are representative. Next, we assessed the genetic relationships of 97 ​B. rapa varieties using the SNP14K array on the Axiom genotyping system. Phylogenetic analysis showed that these 97 cultivars were divided into seven distinct subpopulations: Chinese cabbage, Pak choi, Wawacai, Baibangkuaicai, Qingbangkuaicai, Caixin, and one mixed type. In addition, major quantitative trait loci (QTLs) related to leaf trichome and flowering time were accurately identified using the SNP14K array. This newly developed SNP14K array provides a valuable tool for genetic diversity analysis, gene/QTL mapping, and molecular breeding in B. rapa.
油菜是中国种植面积最大、最重要的蔬菜作物之一。与其他基因分型技术相比,Affymetrix Axiom单核苷酸多态性(SNP)阵列基因分型因其高通量、灵活性和高效性而受到广泛欢迎。在这项研究中,我们基于189份材料的重测序数据成功开发了第一个rapa的SNP14K阵列。该阵列包含148,399个高质量snp,均匀分布在整个基因组中。小等位基因频率(Minor Allele Frequency, MAF)分析表明,这些snp具有高度多态性。主成分分析(PCA)能明显区分出189个亚种。拉伯登记入册。种群结构和系统发育分析表明,148,399个高质量snp具有代表性。接下来,我们评估了979b的亲缘关系。在Axiom基因分型系统上使用SNP14K阵列检测rapa品种。系统发育分析表明,97个品种可划分为7个不同的亚群:大白菜、小白菜、娃娃菜、百帮快菜、青帮快菜、财新亚群和1个混合亚群。此外,利用SNP14K阵列准确鉴定了与叶片毛状体和开花时间相关的主要数量性状位点。这一新开发的SNP14K阵列为rapa的遗传多样性分析、基因/QTL定位和分子育种提供了有价值的工具。
{"title":"Development and application of the SNP14K array to accelerate Brassica rapa genetic research","authors":"Bin Zhang ,&nbsp;Tongbing Su ,&nbsp;Xiaoyun Xin ,&nbsp;Weihong Wang ,&nbsp;Xiuyun Zhao ,&nbsp;Deshuang Zhang ,&nbsp;Yangjun Yu ,&nbsp;Fenglan Zhang ,&nbsp;Peirong Li ,&nbsp;Shuancang Yu","doi":"10.1016/j.agrcom.2025.100111","DOIUrl":"10.1016/j.agrcom.2025.100111","url":null,"abstract":"<div><div><em>Brassica rapa</em> is one of the most important vegetable crops with the largest cultivation area in China. Compared with other genotyping technologies, the Affymetrix Axiom genotyping with single nucleotide polymorphism (SNP) array has become popular due to its high-throughput, flexibility, and efficiency. In this study, we successfully developed the first SNP14K array for <em>B. rapa</em> based on resequencing data from 189 accessions. The array contains 148,399 high-quality SNPs evenly distributed across the genome. Minor Allele Frequency (MAF) analysis indicated that these SNPs are highly polymorphic. Principal component analysis (PCA) clearly distinguished different subspecies among the 189 ​<em>B. rapa</em> accessions. Population structure and phylogenetic analyses demonstrated that the 148,399 high-quality SNPs are representative. Next, we assessed the genetic relationships of 97 ​<em>B. rapa</em> varieties using the SNP14K array on the Axiom genotyping system. Phylogenetic analysis showed that these 97 cultivars were divided into seven distinct subpopulations: Chinese cabbage, Pak choi, Wawacai, Baibangkuaicai, Qingbangkuaicai, Caixin, and one mixed type. In addition, major quantitative trait loci (QTLs) related to leaf trichome and flowering time were accurately identified using the SNP14K array. This newly developed SNP14K array provides a valuable tool for genetic diversity analysis, gene/QTL mapping, and molecular breeding in <em>B</em>. <em>rapa</em>.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100111"},"PeriodicalIF":0.0,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tracking plant growth using image sequence analysis 利用图像序列分析跟踪植物生长
Pub Date : 2025-11-01 DOI: 10.1016/j.agrcom.2025.100110
Yiftah Szoke , Guy Shani
Automated plant phenotyping can help to monitor the growth process of crops, eliminating the high costs associated with traditional manual approaches. Using low-cost devices (e.g., digital cameras), RGB images can be captured under field or greenhouse conditions to track various phenotypes. In this paper, we focused on a particular task – tracking plant growth by identifying and monitoring plant nodes in greenhouse-grown crops. We used a setup where a digital camera captured images at 1-h intervals, with object detection algorithms employed to facilitate rapid and cost-effective tracking of nodes. The main challenge addressed in this paper involved tracking nodes that were hidden temporarily caused by diurnal leaf movements – leaves obscure some nodes at different times throughout the day. Because a node may be hidden for a few hours but visible at other times during the day, one can predict its location while it is hidden. We proposed two approaches, clustering and linear interpolation, for estimating hidden node locations. We collected a set of greenhouse datasets for different crops and conducted empirical comparisons of our methods. Results showed that our approach predicted the node location with an average error of less than 4 ​cm.
自动化植物表型分析可以帮助监测作物的生长过程,消除与传统人工方法相关的高成本。使用低成本设备(例如,数码相机),可以在田间或温室条件下捕获RGB图像,以跟踪各种表型。在本文中,我们专注于一个特定的任务-跟踪植物生长通过识别和监测植物节点在温室种植作物。我们使用了一种设置,其中数码相机每隔1小时捕获图像,并使用目标检测算法来促进快速和经济地跟踪节点。本文解决的主要挑战是跟踪由于叶片昼夜运动而暂时隐藏的节点——叶片在一天中的不同时间掩盖了一些节点。因为一个节点可能会隐藏几个小时,但在一天中的其他时间是可见的,所以人们可以在它隐藏的时候预测它的位置。我们提出了两种方法,聚类和线性插值,以估计隐藏节点的位置。我们收集了一组不同作物的温室数据集,并对我们的方法进行了实证比较。结果表明,该方法预测节点位置的平均误差小于4 cm。
{"title":"Tracking plant growth using image sequence analysis","authors":"Yiftah Szoke ,&nbsp;Guy Shani","doi":"10.1016/j.agrcom.2025.100110","DOIUrl":"10.1016/j.agrcom.2025.100110","url":null,"abstract":"<div><div>Automated plant phenotyping can help to monitor the growth process of crops, eliminating the high costs associated with traditional manual approaches. Using low-cost devices (e.g., digital cameras), RGB images can be captured under field or greenhouse conditions to track various phenotypes. In this paper, we focused on a particular task – tracking plant growth by identifying and monitoring plant nodes in greenhouse-grown crops. We used a setup where a digital camera captured images at 1-h intervals, with object detection algorithms employed to facilitate rapid and cost-effective tracking of nodes. The main challenge addressed in this paper involved tracking nodes that were hidden temporarily caused by diurnal leaf movements – leaves obscure some nodes at different times throughout the day. Because a node may be hidden for a few hours but visible at other times during the day, one can predict its location while it is hidden. We proposed two approaches, clustering and linear interpolation, for estimating hidden node locations. We collected a set of greenhouse datasets for different crops and conducted empirical comparisons of our methods. Results showed that our approach predicted the node location with an average error of less than 4 ​cm.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-objective optimization of cold chain distribution routes considering traffic congestion 考虑交通拥堵的冷链配送路线多目标优化
Pub Date : 2025-09-04 DOI: 10.1016/j.agrcom.2025.100104
Zhipeng Nan , Xinting Yang , Luis Ruiz-Garcia , Jingna Qiu , Yimeng Feng , Jiawei Han
This study presents an advanced multi-objective optimization model for cold chain distribution (CCD) that explicitly accounts for the impact of traffic congestion on key cost components. By integrating fixed costs, transportation costs, refrigeration costs, and carbon emission costs, along with customer satisfaction, the model aims to minimize total distribution costs while satisfying both environmental and operational constraints. An improved genetic algorithm (I-GA) is applied to optimize CCD routes under these constraints. Simulation results demonstrate that the I-GA significantly outperforms the traditional genetic algorithm (T-GA) in terms of the number of vehicles used and total travel distance. Notably, although incorporating traffic congestion into the model increases the overall CCD cost by 7.06 ​%, it concurrently reduces carbon emission costs by 3.72 ​%. Furthermore, the study identifies a synergistic effect when optimizing refrigeration costs and carbon emission costs jointly: this dual optimization results in only minimal increases in overall cost. This research provides a valuable decision-support tool for enterprises to develop more efficient, sustainable, and profitable CCD strategies.
提出了一种先进的冷链配送(CCD)多目标优化模型,该模型明确考虑了交通拥堵对关键成本构成的影响。通过整合固定成本、运输成本、冷藏成本和碳排放成本,以及客户满意度,该模型旨在最小化总分销成本,同时满足环境和运营约束。在这些约束条件下,采用改进的遗传算法(I-GA)优化CCD路径。仿真结果表明,在车辆使用数量和总行驶距离方面,I-GA显著优于传统遗传算法(T-GA)。值得注意的是,虽然将交通拥堵纳入模型使CCD的总成本增加了7.06%,但同时减少了3.72%的碳排放成本。此外,该研究还确定了在共同优化制冷成本和碳排放成本时的协同效应:这种双重优化只会导致总成本的最小增加。本研究为企业制定更高效、可持续和盈利的CCD战略提供了有价值的决策支持工具。
{"title":"Multi-objective optimization of cold chain distribution routes considering traffic congestion","authors":"Zhipeng Nan ,&nbsp;Xinting Yang ,&nbsp;Luis Ruiz-Garcia ,&nbsp;Jingna Qiu ,&nbsp;Yimeng Feng ,&nbsp;Jiawei Han","doi":"10.1016/j.agrcom.2025.100104","DOIUrl":"10.1016/j.agrcom.2025.100104","url":null,"abstract":"<div><div>This study presents an advanced multi-objective optimization model for cold chain distribution (CCD) that explicitly accounts for the impact of traffic congestion on key cost components. By integrating fixed costs, transportation costs, refrigeration costs, and carbon emission costs, along with customer satisfaction, the model aims to minimize total distribution costs while satisfying both environmental and operational constraints. An improved genetic algorithm (I-GA) is applied to optimize CCD routes under these constraints. Simulation results demonstrate that the I-GA significantly outperforms the traditional genetic algorithm (T-GA) in terms of the number of vehicles used and total travel distance. Notably, although incorporating traffic congestion into the model increases the overall CCD cost by 7.06 ​%, it concurrently reduces carbon emission costs by 3.72 ​%. Furthermore, the study identifies a synergistic effect when optimizing refrigeration costs and carbon emission costs jointly: this dual optimization results in only minimal increases in overall cost. This research provides a valuable decision-support tool for enterprises to develop more efficient, sustainable, and profitable CCD strategies.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100104"},"PeriodicalIF":0.0,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145247994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Agriculture Communications
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1