Crop Design最新文献_第3页

Decoding post-translational modifications for understanding stress tolerance in plant 解码翻译后修饰，了解植物的抗逆性

Crop Design Pub Date : 2024-08-30 DOI: 10.1016/j.cropd.2024.100077

Anuradha Pandey, Dipak Gayen

{"title":"Decoding post-translational modifications for understanding stress tolerance in plant","authors":"Anuradha Pandey, Dipak Gayen","doi":"10.1016/j.cropd.2024.100077","DOIUrl":"10.1016/j.cropd.2024.100077","url":null,"abstract":"<div><p>Plants undergo deteriorating stress situations, which has an adverse effect on their overall growth, maturation, and development. To mitigate these situations plants undergo regulatory cellular mechanisms including epigenetic changes at both genomic as well as protein levels. Post-transcriptional as well as translational modifications of proteins enhance its dynamics and complexity along with orchestrating several cellular functions in response to external stimuli. One of the most crucial roles of Post Translational Modification is under the stress tolerance mechanisms in plants. PTM creates a fine-tuning between all regulatory networks and serves as a highly responsible phenomenon. Illustrative analysis of post-translational modification in various signaling pathways has generated new insight for designing crop cultivars towards better development with higher yield and increased tolerance. In this review, we have first introduced post-translational modification and their types. Later, we discussed the prevalent biotic-abiotic stress, plants adaptation to the stress response mechanism, and the participation of PTMs in these stress conditions to highlight better agricultural productivity.</p></div>","PeriodicalId":100341,"journal":{"name":"Crop Design","volume":"3 4","pages":"Article 100077"},"PeriodicalIF":0.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772899424000260/pdfft?md5=2d21151ca4f70ac33815356a00c4ce00&pid=1-s2.0-S2772899424000260-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229530","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}

引用次数: 0

Harnessing image processing for precision disease diagnosis in sugar beet agriculture 利用图像处理对甜菜农业进行精准疾病诊断

Crop Design Pub Date : 2024-08-29 DOI: 10.1016/j.cropd.2024.100075

Varucha Misra , A.K. Mall

{"title":"Harnessing image processing for precision disease diagnosis in sugar beet agriculture","authors":"Varucha Misra , A.K. Mall","doi":"10.1016/j.cropd.2024.100075","DOIUrl":"10.1016/j.cropd.2024.100075","url":null,"abstract":"<div><p>Sugar beet, a sugar crop, faces a persistent threat from foliar and root diseases, leading to substantial yield losses. Traditional methods of disease identification and severity assessment are often time-consuming, error-prone, and impractical, particularly in large production areas. In response to this challenge, researchers have recently turned to innovative solutions involving image processing and machine learning techniques for efficient disease detection in sugar beet plants. Image processing technology has emerged as a rapid and precise disease identification technology in sugar beet. By capitalizing on the ability of image processing to differentiate coloured objects, this approach facilitates the accurate determination of disease severity, enabling timely intervention measures. The urgency of developing faster and more practical methods becomes evident, highlighting the need to decrease human errors in identifying plant diseases and assessing their severity and progression. This review showcases the potential of image processing technology in revolutionizing disease detection strategies for sugar beet crops. The ability to swiftly and accurately determine disease outbreak, severity, and progression addresses a critical gap in current agricultural practices. Image processing technology holds promise as a practical and efficient solution for large-scale disease management in sugar beet cultivation, paving the way for sustainable and high-yield sugar production.</p></div>","PeriodicalId":100341,"journal":{"name":"Crop Design","volume":"3 4","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772899424000247/pdfft?md5=ae186814fb085bc0a759f6c0475af60d&pid=1-s2.0-S2772899424000247-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150698","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}

引用次数: 0

Unveiling the protective role of chitosan in Plant Defense: A comprehensive review with emphasis on abiotic stress management 揭示壳聚糖在植物防御中的保护作用：以非生物胁迫管理为重点的全面综述

Crop Design Pub Date : 2024-08-27 DOI: 10.1016/j.cropd.2024.100076

Pravallika Sree Rayanoothala , Tuward J. Dweh , Sunita Mahapatra , Salma Kayastha

{"title":"Unveiling the protective role of chitosan in Plant Defense: A comprehensive review with emphasis on abiotic stress management","authors":"Pravallika Sree Rayanoothala , Tuward J. Dweh , Sunita Mahapatra , Salma Kayastha","doi":"10.1016/j.cropd.2024.100076","DOIUrl":"10.1016/j.cropd.2024.100076","url":null,"abstract":"<div><p>In agricultural scenario, chitosan, a naturally occurring biopolymer derived from chitins, has the ability to function as both a bio-stimulant and an elicitor. Chitosan is produced from chitins. It is suitable for a wide range of uses because it is non-toxic, does not contaminate the environment, and is biocompatible with living things. It improves physiological reactions and lessens the negative effects of abiotic stimuli through the stress transduction pathway and the use of secondary messengers. Through nitric oxide and hydrogen peroxide-based signalling pathways, chitosan treatment activates antioxidant enzymes. Additionally, it stimulates the production of organic acids, carbohydrates, amino acids, and other metabolites needed for osmotic regulation, stress signalling, and other processes. Additionally, it can combine with heavy metals to produce compounds, and it is used in both phytoremediation and biological remediation of polluted soil. Additionally, this is applied topically to a variety of plants as an anti-transpirant agent, which reduces the quantity of water needed while also providing protection from other negative effects. Due of chitosan's exceptional properties and the way the climate is changing, sustainable farming practises are increasingly incorporating it. Our study is a compendium of current chitosan research that emphasises abiotic stress reactions. These responses could be helpful in upcoming initiatives to increase crop productivity.</p></div>","PeriodicalId":100341,"journal":{"name":"Crop Design","volume":"3 4","pages":"Article 100076"},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772899424000259/pdfft?md5=f016241954b838cfa452e5fc934d78c5&pid=1-s2.0-S2772899424000259-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099472","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}

引用次数: 0

Enhancing rangeland weed detection through convolutional neural networks and transfer learning 通过卷积神经网络和迁移学习增强牧场杂草探测能力

Crop Design Pub Date : 2024-08-01 DOI: 10.1016/j.cropd.2024.100060

{"title":"Enhancing rangeland weed detection through convolutional neural networks and transfer learning","authors":"","doi":"10.1016/j.cropd.2024.100060","DOIUrl":"10.1016/j.cropd.2024.100060","url":null,"abstract":"<div><p>The detection of weed species in rangeland environments is a challenging task due to various factors such as dense, variable species vegetation, ocular occlusion, and a wide variety of plant morphology. Most research in weed detection, however, focuses on croplands. This research addresses the need for accurate rangeland weed detection models by leveraging convolutional neural network (CNN) models enhanced with transfer learning applied to the DeepWeeds data set taken in situ in regional North Eastern Australia. It investigates the effectiveness of transfer learning across seven popular models, utilizing data augmentation and fine-tuning. The performance of these models was evaluated using accuracy metrics and compared against each other. The results demonstrated that transfer learning, coupled with fine tuning, could be a viable solution for generating efficient weed plant detection models with lower demands on computational resources and smaller datasets, despite the challenging conditions of rangeland environments. EfficientNetV2B1 had the highest classification accuracy of 94.2 %, and lowest training times. Moreover, high levels of accuracy were also achieved using InceptionV3, VGG16, and Densenet121, albeit with a training time penalty. This research provides insights into the performance of CNN models in challenging rangeland environments, demonstrates the potential of using transfer learning to enhance weed detection models, and underscores the significance of model selection in agricultural applications of CNNs.</p></div>","PeriodicalId":100341,"journal":{"name":"Crop Design","volume":"3 3","pages":"Article 100060"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772899424000090/pdfft?md5=b5ed423e593946c009845b48ef4441bf&pid=1-s2.0-S2772899424000090-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141414283","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}

引用次数: 0

Modeling reveals synergies among root traits for phosphorus acquisition in pearl millet 建模揭示珍珠粟根性状对磷获取的协同作用

Crop Design Pub Date : 2024-08-01 DOI: 10.1016/j.cropd.2024.100059

{"title":"Modeling reveals synergies among root traits for phosphorus acquisition in pearl millet","authors":"","doi":"10.1016/j.cropd.2024.100059","DOIUrl":"10.1016/j.cropd.2024.100059","url":null,"abstract":"<div><p>Pearl millet is a key food security grain crop in the world's drylands due to its tolerance to abiotic stresses. However, its yield remains low and is negatively impacted by climate change. Root phenes are potential targets to improve crop productivity and resilience to environmental stress. However, the sheer number of combinations resulting from interactions of multiple phenes is a challenge for empirical research. <em>In silico</em> approaches are a plausible alternative to assess the utility of different phene combinations in varying states over diverse environmental contexts. Here, we developed an implementation of the functional-structural plant/soil model – OpenSimRoot, for pearl millet in typical sub-Sahelian soil and environmental conditions. Root architectural, anatomical, and physiological parameters were measured using a popular pearl millet variety (Souna 3) and implemented in the model. The above-ground biomass and root length density predicted by the model were similar to data from field trials. The utility of different root phenes was then evaluated for improved phosphorus uptake and plant growth in P deficient soils. Doubled root hair length and density, shallower root angle (−15°) and doubled long lateral root density were found to improve plant growth by 76 %, 33 % and 33 % respectively under low P conditions. Moreover, these phenes showed synergism when combined <em>in silico</em> and led to optimal biomass production in low P supply conditions that resulted in a 75 % loss of biomass in the reference variety. Our study suggests that these phenotypes could be targeted to improve biomass production in pearl millet and consequently its yield in low-P availability conditions.</p></div>","PeriodicalId":100341,"journal":{"name":"Crop Design","volume":"3 3","pages":"Article 100059"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772899424000089/pdfft?md5=5549435158853fc7a243a39138f2ab18&pid=1-s2.0-S2772899424000089-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141394433","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}

引用次数: 0

Unveiling the potential: BZR1-mediated resistance to sheath blight and optimized agronomic traits in rice 挖掘潜力：BZR1 介导的水稻抗鞘枯病性和优化的农艺性状

Crop Design Pub Date : 2024-06-11 DOI: 10.1016/j.cropd.2024.100061

Huan Chen , Tiange Zhou , Xinrui Li , Yuan Hu Xuan

引用次数: 0

The pentatricopeptide repeat protein TCD6 functions RNA editing and cleavage of ndhA and is required for chloroplast development in early rice seedlings 五叉肽重复蛋白 TCD6 具有 RNA 编辑和切割ndhA 的功能，是早稻幼苗叶绿体发育的必需物质

Crop Design Pub Date : 2024-06-11 DOI: 10.1016/j.cropd.2024.100063

Yunguang Sun , Licheng Kuang , Jinglin Wang , Mengshuang Gu , Yu Chen , Xiaobiao Pan , Dongzhi Lin , Yanjun Dong

{"title":"The pentatricopeptide repeat protein TCD6 functions RNA editing and cleavage of ndhA and is required for chloroplast development in early rice seedlings","authors":"Yunguang Sun , Licheng Kuang , Jinglin Wang , Mengshuang Gu , Yu Chen , Xiaobiao Pan , Dongzhi Lin , Yanjun Dong","doi":"10.1016/j.cropd.2024.100063","DOIUrl":"10.1016/j.cropd.2024.100063","url":null,"abstract":"<div><p>Pentatricopeptide repeat (PPR) proteins compose one of the largest protein families in higher plants and play a role in regulating organellar gene expression. In this study, we discovered that a new rice mutant <em>tcd6</em> exhibited albino phenotype and aberrant chloroplast before the three-leaf (autotrophic) seedling stage. Through Map-based cloning and complementation tests, it was shown that <em>TCD6</em> encodes a chloroplast-located PPR protein, with 14 PPR motifs and an atypical DYW-like motif. In addition, the disruption of <em>TCD6</em> hindered the nuclear-encoded polymerase (NEP)-dependent transcript levels for plastid genes and led to defects in the cleavage and editing of <em>ndhA</em> (encoding NDH subunit<em>)</em> in early <em>tcd6</em> mutant seedlings. Taken together, our results indicate that <em>TCD6</em> is indispensable for chloroplast development and involves in RNA editing and cleavage of <em>ndhA</em> during early seedling (autotrophic) growth of rice.</p></div>","PeriodicalId":100341,"journal":{"name":"Crop Design","volume":"3 3","pages":"Article 100063"},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772899424000120/pdfft?md5=cd0814ee0897a0f12002e6c622df607b&pid=1-s2.0-S2772899424000120-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141407249","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}

引用次数: 0

Development and application of transcriptomics technologies in plant science 植物科学中转录组学技术的开发与应用

Crop Design Pub Date : 2024-05-01 DOI: 10.1016/j.cropd.2024.100057

Han Wang , Yueting Xu , Zhizhong Zhang , Guoping Zhang , Cong Tan , Lingzhen Ye

{"title":"Development and application of transcriptomics technologies in plant science","authors":"Han Wang , Yueting Xu , Zhizhong Zhang , Guoping Zhang , Cong Tan , Lingzhen Ye","doi":"10.1016/j.cropd.2024.100057","DOIUrl":"10.1016/j.cropd.2024.100057","url":null,"abstract":"<div><p>Over the past decade, bulk RNA sequencing (RNA-seq) has become an indispensable tool in molecular biology, and have made the novel development, with two innovative methodologies being developed, single-cell RNA sequencing (scRNA-seq) technology and spatial transcriptome (ST) technology. The scRNA-seq technology allows researchers to analyze gene expression in individual cells, providing more detailed information relative to the past technologies. Meanwhile, ST technology overcomes the limitations of single-cell sequencing in terms of loss of spatial information, enabling scientists to better understand the spatial distribution of gene expression within tissues. These advancements of transcriptomics technologies revolutionize the field of genomics and have been widely used in disease diagnosis and medicine. However, they are less utilized in plant research. This review describes the development, advantage and limitations of three transcriptomics technologies, and presents their applications in plant sciences.</p></div>","PeriodicalId":100341,"journal":{"name":"Crop Design","volume":"3 2","pages":"Article 100057"},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772899424000065/pdfft?md5=268790ea3d3b1417800694d53dc269d9&pid=1-s2.0-S2772899424000065-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140463519","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}

引用次数: 0

Balancing disease resistance and yield Stability: BGL overexpression in rice for resistance against sheath blight and rice blast 平衡抗病性与产量稳定性：在水稻中过表达 BGL 以抵抗鞘枯病和稻瘟病

Crop Design Pub Date : 2024-05-01 DOI: 10.1016/j.cropd.2024.100062

Jingmiao Liu , Yuan Hu Xuan , Tiange Zhou

引用次数: 0

Bacteria manipulate autophagy through acetylation in both fungi and plants 细菌通过乙酰化操纵真菌和植物的自噬作用

Crop Design Pub Date : 2024-05-01 DOI: 10.1016/j.cropd.2024.100058

Sung Un Huh

引用次数: 0