Pawan K. Amrate, M. K. Shrivastava, Munmi Borah, Gowtham Kumar Routhu, Stuti Sharma, Vennampally Nataraj, Dinesh K. Pancheshwar, Gyanendra Singh
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Simultaneously, in another experiment, forty-seven agronomically superior soybean genotypes were evaluated for YMD resistance for four consecutive growing seasons (2017–2020) under hot-spot conditions at J.N.K.V.V., Jabalpur. Percent Disease Incidence (PDI) and symptoms severity grade (0–5) based Coefficient of Infection (CI) were employed in measuring the genotypic differences for YMD resistance. Friedman test indicated significant genotypic differences for PDI and CI, across four seasons. A BLUP (Best Linear Unbiased Prediction) based mixed model, WAASB (Weighted Average of Absolute Scores) and superiority index WAASBY (a combination of WAASB and Disease score) were employed on CI of yellow mosaic disease for identifying the stable and superior sources of resistance. Through WAASBY superiority index, out of forty seven genotypes, DS 3106 (WAASBY score = 93.90) was found to be superior with respect to stability and resistance, followed by SL 955 (WAASBY score = 90.08) and JS 21–75 (WAASBY score = 78.21). Through cluster analysis, based on PDI and CI, DS 3106, SL 955 and JS 21–75 were grouped together. Hence, these three genotypes can be employed as candidate resistant sources in breeding for high yielding and YMD resistant varieties suitable for cultivation in central India. Through Pearson’s correlation analysis, CI was found to be positively correlated with WFP (Whitefly Population) (r = 0.91<sup>*</sup>) and atmospheric mean temperature (r = 0.77), indicating the role of the vector and weather variables in aggravating the disease severity.</p></div>","PeriodicalId":8598,"journal":{"name":"Australasian Plant Pathology","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13313-022-00902-8.pdf","citationCount":"0","resultStr":"{\"title\":\"Molecular characterization of soybean yellow mosaic virus isolates and identification of stable resistance sources in central India\",\"authors\":\"Pawan K. Amrate, M. K. Shrivastava, Munmi Borah, Gowtham Kumar Routhu, Stuti Sharma, Vennampally Nataraj, Dinesh K. 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引用次数: 0
摘要
在印度,大豆生产在该国中部占主导地位。黄花叶病(YMD)发病率的逐渐增加是该地区大豆生产的一个主要问题。使用外壳蛋白(CP)基因特异性引物对从印度中部三个不同地点采集的病毒感染样本进行分子鉴定,结果表明所有三个样本都感染了印度黄花叶病毒(MYMIV)。通过序列相似性和系统发育分析,发现MYMIV的Jabalpur分离株(OM643233)与印度和世界各地的MYMIV其他分离株具有最大的同源性(高达97.9%)。同时,在另一项实验中,在J.N.K.V.V.,Jabalpur的热点条件下,对47种农业上优越的大豆基因型连续四个生长季节(2017-2020)的YMD抗性进行了评估。采用基于疾病发病率百分比(PDI)和症状严重程度等级(0-5)的感染系数(CI)来测量YMD耐药性的基因型差异。Friedman检验显示PDI和CI在四季间存在显著的基因型差异。采用基于BLUP(Best Linear Unbiased Prediction)的混合模型WAASB(Weighted Average of Absolute Scores)和优势指数WAASBY。通过WAASBY优势指数,在47个基因型中,DS 3106(WAASBY评分 = 93.90)在稳定性和抗性方面优于SL 955(WAASBY评分 = 90.08)和JS 21-75(WAASBY分数 = 78.21)。通过聚类分析,基于PDI和CI,将DS 3106、SL 955和JS 21-75分组在一起。因此,这三种基因型可作为候选抗性来源,用于选育适合在印度中部种植的高产和抗YMD品种。通过Pearson相关分析,CI与WFP(Whitefly Population)呈正相关(r = 0.91*)和大气平均温度(r = 0.77),表明媒介和天气变量在加重疾病严重程度中的作用。
Molecular characterization of soybean yellow mosaic virus isolates and identification of stable resistance sources in central India
In India, soybean production is predominant in central part of the country. Gradual increase in incidence of Yellow Mosaic Disease (YMD) is a major concern for soybean production in this region. Molecular characterization of virus infected samples collected from three different locations of central India, using coat protein (CP) gene specific primers revealed that all the three samples were infected with Mungbean Yellow Mosaic India Virus (MYMIV). Through sequence similarity and phylogenetic analyses, Jabalpur isolate of MYMIV (OM643233) was found to share maximum homology (up to 97.9%) with other isolates of MYMIV in India and across the world. Simultaneously, in another experiment, forty-seven agronomically superior soybean genotypes were evaluated for YMD resistance for four consecutive growing seasons (2017–2020) under hot-spot conditions at J.N.K.V.V., Jabalpur. Percent Disease Incidence (PDI) and symptoms severity grade (0–5) based Coefficient of Infection (CI) were employed in measuring the genotypic differences for YMD resistance. Friedman test indicated significant genotypic differences for PDI and CI, across four seasons. A BLUP (Best Linear Unbiased Prediction) based mixed model, WAASB (Weighted Average of Absolute Scores) and superiority index WAASBY (a combination of WAASB and Disease score) were employed on CI of yellow mosaic disease for identifying the stable and superior sources of resistance. Through WAASBY superiority index, out of forty seven genotypes, DS 3106 (WAASBY score = 93.90) was found to be superior with respect to stability and resistance, followed by SL 955 (WAASBY score = 90.08) and JS 21–75 (WAASBY score = 78.21). Through cluster analysis, based on PDI and CI, DS 3106, SL 955 and JS 21–75 were grouped together. Hence, these three genotypes can be employed as candidate resistant sources in breeding for high yielding and YMD resistant varieties suitable for cultivation in central India. Through Pearson’s correlation analysis, CI was found to be positively correlated with WFP (Whitefly Population) (r = 0.91*) and atmospheric mean temperature (r = 0.77), indicating the role of the vector and weather variables in aggravating the disease severity.
期刊介绍:
Australasian Plant Pathology presents new and significant research in all facets of the field of plant pathology. Dedicated to a worldwide readership, the journal focuses on research in the Australasian region, including Australia, New Zealand and Papua New Guinea, as well as the Indian, Pacific regions.
Australasian Plant Pathology is the official journal of the Australasian Plant Pathology Society.