WAASB index revealed stable resistance sources for soybean anthracnose in India
Anthracnose caused by Colletotrichum truncatum is a major soybean disease in India. Genetic resistance is the viable option to combat yield losses due to this disease. In the current study, 19 soybean genotypes were evaluated for anthracnose disease resistance at five locations (Medziphema, Palampur...
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| Veröffentlicht in: | The Journal of agricultural science 2021-11, Vol.159 (9-10), p.710-720 |
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| creator | Rajput, L. S. Nataraj, V. Kumar, S. Amrate, P. K. Jahagirdar, S. Huilgol, S. N. Chakruno, P. Singh, A. Maranna, S. Ratnaparkhe, M. B. Borah, M. Singh, K. P. Gupta, S. Khandekar, N. |
| description | Anthracnose caused by Colletotrichum truncatum is a major soybean disease in India. Genetic resistance is the viable option to combat yield losses due to this disease. In the current study, 19 soybean genotypes were evaluated for anthracnose disease resistance at five locations (Medziphema, Palampur, Dharwad, Jabalpur and Indore) for three consecutive years (2017–2019) to identify stable and superior genotypes as resistant sources and to elucidate genotype (G) × environment (E) interactions. Genotype effect, environment effect and G × E interactions were found significant (P < 0.001) where G × E interactions contributed highest (42.44) to the total variation followed by environment (29.71) and genotype (18.84). Through Weighted Average of Absolute Scores (WAASB) stability analysis, PS 1611 (WAASB score = 0.33) was found to be most stable and through WAASBY superiority analysis NRC 128 (WAASBY score = 94.31) and PS 1611 (WAASBY score = 89.43) were found to be superior for mean performance and stability. These two genotypes could be candidate parents for breeding for durable and stable anthracnose resistance. Through principal component analysis, disease score was found to be positively associated with relative humidity, wind speed at 2 m above ground level, effect of temperature on radiation use efficiency and global solar radiation based on latitude and Julian day. Among the five locations, Indore was found to be highly discriminative with the highest mean disease incidence and could differentiate anthracnose-resistant and susceptible genotypes effectively, therefore can be considered an ideal location for breeding for field resistance against anthracnose disease. |
| doi_str_mv | 10.1017/S0021859622000016 |
| format | Article |
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S. ; Nataraj, V. ; Kumar, S. ; Amrate, P. K. ; Jahagirdar, S. ; Huilgol, S. N. ; Chakruno, P. ; Singh, A. ; Maranna, S. ; Ratnaparkhe, M. B. ; Borah, M. ; Singh, K. P. ; Gupta, S. ; Khandekar, N.</creator><creatorcontrib>Rajput, L. S. ; Nataraj, V. ; Kumar, S. ; Amrate, P. K. ; Jahagirdar, S. ; Huilgol, S. N. ; Chakruno, P. ; Singh, A. ; Maranna, S. ; Ratnaparkhe, M. B. ; Borah, M. ; Singh, K. P. ; Gupta, S. ; Khandekar, N.</creatorcontrib><description>Anthracnose caused by Colletotrichum truncatum is a major soybean disease in India. Genetic resistance is the viable option to combat yield losses due to this disease. In the current study, 19 soybean genotypes were evaluated for anthracnose disease resistance at five locations (Medziphema, Palampur, Dharwad, Jabalpur and Indore) for three consecutive years (2017–2019) to identify stable and superior genotypes as resistant sources and to elucidate genotype (G) × environment (E) interactions. Genotype effect, environment effect and G × E interactions were found significant (P < 0.001) where G × E interactions contributed highest (42.44) to the total variation followed by environment (29.71) and genotype (18.84). Through Weighted Average of Absolute Scores (WAASB) stability analysis, PS 1611 (WAASB score = 0.33) was found to be most stable and through WAASBY superiority analysis NRC 128 (WAASBY score = 94.31) and PS 1611 (WAASBY score = 89.43) were found to be superior for mean performance and stability. These two genotypes could be candidate parents for breeding for durable and stable anthracnose resistance. Through principal component analysis, disease score was found to be positively associated with relative humidity, wind speed at 2 m above ground level, effect of temperature on radiation use efficiency and global solar radiation based on latitude and Julian day. Among the five locations, Indore was found to be highly discriminative with the highest mean disease incidence and could differentiate anthracnose-resistant and susceptible genotypes effectively, therefore can be considered an ideal location for breeding for field resistance against anthracnose disease.</description><identifier>ISSN: 0021-8596</identifier><identifier>EISSN: 1469-5146</identifier><identifier>DOI: 10.1017/S0021859622000016</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Agricultural production ; Anthracnose ; Breeding ; Crop diseases ; Crops and Soils Research Paper ; Disease resistance ; Genotype & phenotype ; Genotypes ; Ground level ; Medical screening ; Otology ; Pathogens ; Principal components analysis ; Relative humidity ; Research methodology ; Solar radiation ; Soybeans ; Stability analysis ; Temperature effects ; Variance analysis ; Wind speed</subject><ispartof>The Journal of agricultural science, 2021-11, Vol.159 (9-10), p.710-720</ispartof><rights>Copyright © The Author(s), 2022. Published by Cambridge University Press</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c317t-bbcf51add873f071b032a7b844ab441c70275feef622630da14643ad8d75af953</citedby><cites>FETCH-LOGICAL-c317t-bbcf51add873f071b032a7b844ab441c70275feef622630da14643ad8d75af953</cites><orcidid>0000-0001-8832-3135</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0021859622000016/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,780,784,27924,27925,55628</link.rule.ids></links><search><creatorcontrib>Rajput, L. S.</creatorcontrib><creatorcontrib>Nataraj, V.</creatorcontrib><creatorcontrib>Kumar, S.</creatorcontrib><creatorcontrib>Amrate, P. 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In the current study, 19 soybean genotypes were evaluated for anthracnose disease resistance at five locations (Medziphema, Palampur, Dharwad, Jabalpur and Indore) for three consecutive years (2017–2019) to identify stable and superior genotypes as resistant sources and to elucidate genotype (G) × environment (E) interactions. Genotype effect, environment effect and G × E interactions were found significant (P < 0.001) where G × E interactions contributed highest (42.44) to the total variation followed by environment (29.71) and genotype (18.84). Through Weighted Average of Absolute Scores (WAASB) stability analysis, PS 1611 (WAASB score = 0.33) was found to be most stable and through WAASBY superiority analysis NRC 128 (WAASBY score = 94.31) and PS 1611 (WAASBY score = 89.43) were found to be superior for mean performance and stability. These two genotypes could be candidate parents for breeding for durable and stable anthracnose resistance. Through principal component analysis, disease score was found to be positively associated with relative humidity, wind speed at 2 m above ground level, effect of temperature on radiation use efficiency and global solar radiation based on latitude and Julian day. Among the five locations, Indore was found to be highly discriminative with the highest mean disease incidence and could differentiate anthracnose-resistant and susceptible genotypes effectively, therefore can be considered an ideal location for breeding for field resistance against anthracnose disease.</description><subject>Agricultural production</subject><subject>Anthracnose</subject><subject>Breeding</subject><subject>Crop diseases</subject><subject>Crops and Soils Research Paper</subject><subject>Disease resistance</subject><subject>Genotype & phenotype</subject><subject>Genotypes</subject><subject>Ground level</subject><subject>Medical screening</subject><subject>Otology</subject><subject>Pathogens</subject><subject>Principal components analysis</subject><subject>Relative humidity</subject><subject>Research methodology</subject><subject>Solar radiation</subject><subject>Soybeans</subject><subject>Stability analysis</subject><subject>Temperature effects</subject><subject>Variance analysis</subject><subject>Wind speed</subject><issn>0021-8596</issn><issn>1469-5146</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1UMlOwzAQtRBIlMIHcLPEOeAtcXIsFUulSj0UxDEax2NI1TrFThH9exy1EgfEHGbRvPdmIeSas1vOuL5bMiZ4mVeFECwZL07IiKuiyvLkT8loaGdD_5xcxLhKEM2qckQWb5PJ8p623uI3DfiFsEZLYw9mjamObUp9gzR2u9BgpK4LKd8bBE_B9x8BGt9FTAJ05m0Ll-TMwTri1TGOyevjw8v0OZsvnmbTyTxrJNd9Zkzjcg7Wllo6prlhUoA2pVJglOKNZkLnDtGlewrJLKQrlARbWp2Dq3I5JjcH3W3oPncY-3qVNvRpZC0KJTirBBcJxQ-oJnQxBnT1NrQbCPuas3r4W_3nb4kjjxzYmNDad_yV_p_1Aywxbnk</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Rajput, L. 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S.</au><au>Nataraj, V.</au><au>Kumar, S.</au><au>Amrate, P. K.</au><au>Jahagirdar, S.</au><au>Huilgol, S. N.</au><au>Chakruno, P.</au><au>Singh, A.</au><au>Maranna, S.</au><au>Ratnaparkhe, M. B.</au><au>Borah, M.</au><au>Singh, K. P.</au><au>Gupta, S.</au><au>Khandekar, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>WAASB index revealed stable resistance sources for soybean anthracnose in India</atitle><jtitle>The Journal of agricultural science</jtitle><addtitle>J. Agric. Sci</addtitle><date>2021-11-01</date><risdate>2021</risdate><volume>159</volume><issue>9-10</issue><spage>710</spage><epage>720</epage><pages>710-720</pages><issn>0021-8596</issn><eissn>1469-5146</eissn><abstract>Anthracnose caused by Colletotrichum truncatum is a major soybean disease in India. Genetic resistance is the viable option to combat yield losses due to this disease. In the current study, 19 soybean genotypes were evaluated for anthracnose disease resistance at five locations (Medziphema, Palampur, Dharwad, Jabalpur and Indore) for three consecutive years (2017–2019) to identify stable and superior genotypes as resistant sources and to elucidate genotype (G) × environment (E) interactions. Genotype effect, environment effect and G × E interactions were found significant (P < 0.001) where G × E interactions contributed highest (42.44) to the total variation followed by environment (29.71) and genotype (18.84). Through Weighted Average of Absolute Scores (WAASB) stability analysis, PS 1611 (WAASB score = 0.33) was found to be most stable and through WAASBY superiority analysis NRC 128 (WAASBY score = 94.31) and PS 1611 (WAASBY score = 89.43) were found to be superior for mean performance and stability. These two genotypes could be candidate parents for breeding for durable and stable anthracnose resistance. Through principal component analysis, disease score was found to be positively associated with relative humidity, wind speed at 2 m above ground level, effect of temperature on radiation use efficiency and global solar radiation based on latitude and Julian day. Among the five locations, Indore was found to be highly discriminative with the highest mean disease incidence and could differentiate anthracnose-resistant and susceptible genotypes effectively, therefore can be considered an ideal location for breeding for field resistance against anthracnose disease.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S0021859622000016</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-8832-3135</orcidid></addata></record> |
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| subjects | Agricultural production Anthracnose Breeding Crop diseases Crops and Soils Research Paper Disease resistance Genotype & phenotype Genotypes Ground level Medical screening Otology Pathogens Principal components analysis Relative humidity Research methodology Solar radiation Soybeans Stability analysis Temperature effects Variance analysis Wind speed |
| title | WAASB index revealed stable resistance sources for soybean anthracnose in India |
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