Crop & Pasture Science最新文献_第6页

Transcriptome analysis showed the metabolic pathway of differentially expressed genes (DEGs) in resistant and susceptible soybean (Glycine max) to sclerotinia stem rot (SSR) and candidate gene mining 转录组分析显示了大豆(Glycine max)对菌核病(sclerotinia stem rot, SSR)的抗性和易感性差异表达基因(DEGs)的代谢途径和候选基因挖掘

4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp23171

Dongming Sun, Ruiqiong Li, Jinglin Ma, Shuo Qu, Ming Yuan, Zhenhong Yang, Changjun Zhou, Junrong Xu, Yuhang Zhan, Xue Zhao, Yingpeng Han, Weili Teng

{"title":"Transcriptome analysis showed the metabolic pathway of differentially expressed genes (DEGs) in resistant and susceptible soybean (Glycine max) to sclerotinia stem rot (SSR) and candidate gene mining","authors":"Dongming Sun, Ruiqiong Li, Jinglin Ma, Shuo Qu, Ming Yuan, Zhenhong Yang, Changjun Zhou, Junrong Xu, Yuhang Zhan, Xue Zhao, Yingpeng Han, Weili Teng","doi":"10.1071/cp23171","DOIUrl":"https://doi.org/10.1071/cp23171","url":null,"abstract":"Context Sclerotinia stem rot (SSR) is one of the diseases that seriously affect soybean yield, leading to heavy losses all over the world. A well-known SSR resistant variety is ‘Maple Arrow’.Aims In this study, transcriptome sequencing analysis of resistant variety ‘Maple Arrow’ and susceptible variety ‘Hefeng25’ was conducted to understand the resistance mechanism of resistant and susceptible soybean varieties to SSR and to look for candidate genes.Methods RNA sequencing of Maple Arrow and Hefeng25 generated 75.09GB and 64.97GB clean readings, respectively. In total, 417 differentially expressed genes (DEGs) were found among the different comparable groups. Gene ontology enrichment, Kyoto Encyclopedia of Genes and Genomes analysis and haplotype analysis were performed for genes with different expression levels in Maple Arrow and Hefeng25.Key results It was found that DEGs from Maple Arrow and Hefeng25 were involved in the regulation of ‘oxidation–reduction process’, ‘regulation of transcription’, ‘amino acid metabolism’, ‘methylation’ and ‘membrane’, ‘integral component of membrane’ and ‘epidermal growth-factor receptor substrate 15’. In total, 31 haplotypes of 12 genes were screened out with significant or extremely significant differences among soybeans with different levels of SSR resistance.Conclusions These genes may be involved in the relevant pathways of soybean sclerotiniose.Implications To provide excellent gene resources for further disease-resistance breeding.","PeriodicalId":51237,"journal":{"name":"Crop & Pasture Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135448610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Use of interpretive machine learning and a crop model to investigate the impact of environment and management on soybean yield gap 利用解释性机器学习和作物模型研究环境和管理对大豆产量缺口的影响

4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp23032

Alireza Nehbandani, Patrick Filippi, Parisa Alizadeh-Dehkordi, Amir Dadrasi, Afshin Soltani

{"title":"Use of interpretive machine learning and a crop model to investigate the impact of environment and management on soybean yield gap","authors":"Alireza Nehbandani, Patrick Filippi, Parisa Alizadeh-Dehkordi, Amir Dadrasi, Afshin Soltani","doi":"10.1071/cp23032","DOIUrl":"https://doi.org/10.1071/cp23032","url":null,"abstract":"Context Management and environmental conditions are the main factors influencing yield of soybean (Glycine max (L.) Merr.). Despite an increase in average soybean yield in recent years in Iran, a considerable gap remains between actual yield and potential yield.Aims The objective of this study was to identify critical climate and management factors affecting soybean yield in Iran’s major soybean production area.Methods A combination of machine learning approaches (using gradient boosted decision trees, XGBoost) and the SSM-iCrop2 simulation model was used. Critical management factors affecting soybean yield were determined through interpretive machine learning using information collected from 268 soybean fields over a 5-year period. Potential yield and water-limited potential yield at six weather stations were estimated for 30years via the SSM-iCrop2 simulation model. Water limitation was determined by considering the ratio of water-limited yield potential to potential yield, and heat stress status was quantified as the number of days with maximum temperature >36°C during the soybean growing season.Key results The XGBoost models adequately described the observed changes in soybean yield. Root-mean-square error and Lin’s concordance correlation coefficient values of the calibrated model were 262kgha−1 and 0.96, respectively, which indicated that the predictor variables could describe most of the variation in soybean yield for the studied dataset.Conclusions We identified 15 climatic and management variables that affect soybean yield. A large part of the studied area is under high water stress and low heat stress.Implications Optimal planting date and improved irrigation management are the main options for reducing the yield gap in the study area.","PeriodicalId":51237,"journal":{"name":"Crop & Pasture Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135699522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Differential responses of yield and shoot traits of five tropical grasses to nitrogen and distance to trees in silvopastoral systems 五种热带禾草产量和梢部性状对氮素和离树距离的差异响应

4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp23081

Laíse da Silveira Pontes, Emilio A. Laca

{"title":"Differential responses of yield and shoot traits of five tropical grasses to nitrogen and distance to trees in silvopastoral systems","authors":"Laíse da Silveira Pontes, Emilio A. Laca","doi":"10.1071/cp23081","DOIUrl":"https://doi.org/10.1071/cp23081","url":null,"abstract":"Context Light intensity and nitrogen availability are important factors influencing the growth of C4 forage species. Trade-offs may occur in the adaptive responses of species to shading and nitrogen inputs, and functional shoot traits can help to explain the consequences of these responses for species performance.Aims Our objective was to gain understanding of the mechanisms involving shoot traits of grasses that determine above-ground dry matter yield (DMY) when resources, light and nitrogen all vary.Methods Five C4 perennial forage grasses were grown in six shading conditions (full sunlight vs five positions between Eucalyptus dunnii rows) with two nitrogen levels (0vs 300kgNha−1year−1) and clipped when the canopy reached 95% light interception. Path analysis was used to explore the relationship between DMY, shading levels, nitrogen nutrition index and shoot traits.Key results Yield increased between 126 and 569g dry matter m−2 with nitrogen fertilisation. Plant nitrogen concentration was the most important predictor of DMY. Increased shading reduced DMY by 6.94–12.5g dry matter m−2 for each 1% increase in shading. DMY was also modulated by shoot traits such as specific leaf area, sheath length and leaf area index (via leaf area and tiller density), but with different responses according to species.Conclusions The five species compared adopted different mechanisms involving shoot traits, revealing different strategies to cope with changes in light and nitrogen availability.Implications Agroforestry practitioners may want to choose forages that are more likely to maintain biomass yield as trees grow.","PeriodicalId":51237,"journal":{"name":"Crop & Pasture Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136303916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of environment similarities using a crop model to assist the cultivation and breeding of a new crop in a new region 利用作物模型识别环境相似性，以帮助在新地区培育和育种新作物

4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp23177

Yashvir S. Chauhan, Doug Sands, Steve Krosch, Peter Agius, Troy Frederiks, Karine Chenu, Rex Williams

引用次数: 0

Water use dynamics of dryland wheat grown under elevated CO2 with supplemental nitrogen 高CO2配氮条件下旱地小麦水分利用动态

IF 1.9 4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp22344

S. Uddin, S. Parvin, R. Armstrong, Glenn Fitzgerald, M. Löw, A. Houshmandfar, E. Tavakkoli, S. Tausz-Posch, G. O'Leary, M. Tausz

引用次数: 0

Environmental consequences of a consumer shift from dairy- to soy-based products 消费者从乳制品转向以大豆为基础的产品的环境后果

IF 1.9 4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp23034

Aaron T. Simmons, Miguel Brandão, Zita Ritchie, Guy Roth

引用次数: 0

Remote detection of Fusarium crown rot in broadacre bread wheat and durum wheat through use of aerial imagery 利用航空影像对大面积面包小麦和硬粒小麦镰刀菌冠腐病进行遥感检测

IF 1.9 4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp23091

M. Buster, S. Simpfendorfer, C. Guppy, M. Sissons, M. Tighe, R. Flavel

引用次数: 0

Genome-wide identification and expression profiling of 4-coumarate:coenzyme A ligase genes influencing soybean isoflavones at the seedling stage 4-香豆酸辅酶A连接酶基因在苗期影响大豆异黄酮的全基因组鉴定和表达谱分析

4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp23147

Zhenhong Yang, Xu Wu, Jinglin Ma, Ming Yuan, Yuhang Zhan, Yonguang Li, Haiyan Li, Weili Teng, Xue Zhao, Yingpeng Han

{"title":"Genome-wide identification and expression profiling of 4-coumarate:coenzyme A ligase genes influencing soybean isoflavones at the seedling stage","authors":"Zhenhong Yang, Xu Wu, Jinglin Ma, Ming Yuan, Yuhang Zhan, Yonguang Li, Haiyan Li, Weili Teng, Xue Zhao, Yingpeng Han","doi":"10.1071/cp23147","DOIUrl":"https://doi.org/10.1071/cp23147","url":null,"abstract":"Context The 4-coumarate:coenzyme A ligase (4CL) genes are involved in the phenylalanine pathway of the plant flavonoid biosynthesis pathway, controlling the synthesis of flavonoid secondary metabolites. Isoflavone is an important quality component of soybean (Glycine max).Aims The purpose of this study was to investigate the effects of different 4CL gene family members on isoflavone synthesis in soybean seedlings, and to identify those with a positive effect on soybean isoflavone content.Methods Genome identification and bioinformatics analyses of Gm4CL gene family members were conducted based on soybean genome annotation and Bio-Analytic Resource online data. Quantitative real-time PCR was used to detect the expression of Gm4CL genes, and genes related to the isoflavone synthesis pathway. Ultra-high-performance liquid chromatography was used to detect the contents of various isoflavones.Key results The study revealed 20 members of the Gm4CL gene family distributed on 13 chromosomes, with expression mainly distributed in cytoplasmic peroxisomes, and showing homology to the 4CL genes of peanut (Arachis hypogaea) and Arabidopsis. Gene structure analysis showed that Gm4CL genes had between two and seven exons. Gm4CL promoter sequences were shown to contain abundant cis-acting elements, with Gm4CL4 and Glyma.11G1945001 containing MBSI cis-acting elements. Notably, the expression of Gm4CL genes varied with the synthesis of isoflavones at seedling stage.Conclusions At seedling stage, Gm4CL4 activated enzymes related to the isoflavone synthesis pathway, catalysing isoflavone synthesis, whereas Glyma.17G06440.1 and Glyma.17G0645001 tended to serve the lignin synthesis pathway and inhibit isoflavone synthesis. These results suggest that isoflavone synthesis in seedling leaves may be regulated by other mechanisms.Implications The study provides a basis for further research into the synthesis and accumulation mechanism of isoflavones.","PeriodicalId":51237,"journal":{"name":"Crop & Pasture Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134987819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stem, leaf and cotyledon resistance responses to a prevalent Sclerotinia sclerotiorum pathotype in Australia highlight new opportunities to improve white mould resistance in common bean 茎、叶和子叶对澳大利亚常见菌核菌病型的抗性反应为提高普通豆的抗白霉性提供了新的机会

4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp23211

Muhammad Azam Khan, Dawid Brink Wentzel, Ming Pei You, Sally L. Norton, Martin J. Barbetti

{"title":"Stem, leaf and cotyledon resistance responses to a prevalent Sclerotinia sclerotiorum pathotype in Australia highlight new opportunities to improve white mould resistance in common bean","authors":"Muhammad Azam Khan, Dawid Brink Wentzel, Ming Pei You, Sally L. Norton, Martin J. Barbetti","doi":"10.1071/cp23211","DOIUrl":"https://doi.org/10.1071/cp23211","url":null,"abstract":"Context White mould (Sclerotinia sclerotiorum) inflicts major yield losses on common bean (Phaseolus vulgaris); yet, commercial cultivars known for their high yields and market-adapted grains lack physiological resistance to this disease.Aims This study aimed to test diverse common bean genotypes for resistance in stem, leaf and cotyledon tissues.Methods Thirty-four common bean genotypes with a wide range of agronomic traits and grain types, including genotypes noted previously for susceptible and resistant responses to white mould, were inoculated with the prevalent S. sclerotiorum isolate MBRS-1. Then they were assessed for resistance in stem, leaf and cotyledon tissues under controlled environment conditions, by inoculating plants with a 105mL−1 hyphal fragment concentration.Key results There was significant (P<0.001) variation in resistance responses in stem, leaf and cotyledon tissues across the genotypes. Contender, ICA Bunsi, XAN 280 and Taisho-Kintoki showed the highest resistance in stems, whereas Norvell 2558, Pico de Oro, Sanilac, Othelo and Negro Argel exhibited notable resistance in leaves. Metis, Canario 107, Pico de Oro, Pogonion and Jubilejnaja 287 displayed the most resistance in cotyledons.Conclusions This is the first reported attempt to determine the response of common bean germplasm to a prevalent pathotype of S. sclerotiorum in Australia. Bean genotypes exhibiting high-level resistance to white mould identified in this study can be used as parental lines for crosses in common bean breeding programs and/or directly as improved cultivars.Implications The study highlighted both the value of screening under controlled environmental conditions to reliably locate new stem, leaf and/or cotyledon resistances and the possibility of using rapid cotyledon screening to indicate stem resistances because the expression of resistances in cotyledons generally correlated strongly with those in stems.","PeriodicalId":51237,"journal":{"name":"Crop & Pasture Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135260961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek) 利用无人机图像评估绿豆(Vigna radiata, L.)生长参数Wilczek)

4区农林科学

Crop & Pasture Science Pub Date : 2023-01-01 DOI: 10.1071/cp22335

Yiyi Xiong, Lucas Mauro Rogerio Chiau, Kylie Wenham, Marisa Collins, Scott C. Chapman

引用次数: 0