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Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India

In the present study, a total of 53 promising salt-tolerant genotypes were tested across 18 salt-affected diverse locations for three years. An attempt was made to identify ideal test locations and mega-environments using GGE biplot analysis. The CSSRI sodic environment was the most discriminating l...

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Autores principales: Krishnamurthy, S. L., Sharma, P. C., Sharma, D. K., Ravikiran, K. T., Singh, Y. P., Mishra, V. K., Burman, D., Maji, B., Mandal, S., Sarangi, S. K., Gautam, R. K., Singh, P. K., Manohara, K. K., Marandi, B. C., Padmavathi, G., Vanve, P. B., Patil, K. D., Thirumeni, S., Verma, O. P., Khan, A. H., Tiwari, S., Geetha, S., Shakila, M., Gill, R, Yadav, V. K., Roy, S. K. B., Prakash, M., Bonifacio, J., Ismail, Abdelbagi, Gregorio, G. B., Singh, Rakesh Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554213/
https://www.ncbi.nlm.nih.gov/pubmed/28801586
http://dx.doi.org/10.1038/s41598-017-08532-7
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author Krishnamurthy, S. L.
Sharma, P. C.
Sharma, D. K.
Ravikiran, K. T.
Singh, Y. P.
Mishra, V. K.
Burman, D.
Maji, B.
Mandal, S.
Sarangi, S. K.
Gautam, R. K.
Singh, P. K.
Manohara, K. K.
Marandi, B. C.
Padmavathi, G.
Vanve, P. B.
Patil, K. D.
Thirumeni, S.
Verma, O. P.
Khan, A. H.
Tiwari, S.
Geetha, S.
Shakila, M.
Gill, R
Yadav, V. K.
Roy, S. K. B.
Prakash, M.
Bonifacio, J.
Ismail, Abdelbagi
Gregorio, G. B.
Singh, Rakesh Kumar
author_facet Krishnamurthy, S. L.
Sharma, P. C.
Sharma, D. K.
Ravikiran, K. T.
Singh, Y. P.
Mishra, V. K.
Burman, D.
Maji, B.
Mandal, S.
Sarangi, S. K.
Gautam, R. K.
Singh, P. K.
Manohara, K. K.
Marandi, B. C.
Padmavathi, G.
Vanve, P. B.
Patil, K. D.
Thirumeni, S.
Verma, O. P.
Khan, A. H.
Tiwari, S.
Geetha, S.
Shakila, M.
Gill, R
Yadav, V. K.
Roy, S. K. B.
Prakash, M.
Bonifacio, J.
Ismail, Abdelbagi
Gregorio, G. B.
Singh, Rakesh Kumar
author_sort Krishnamurthy, S. L.
collection PubMed
description In the present study, a total of 53 promising salt-tolerant genotypes were tested across 18 salt-affected diverse locations for three years. An attempt was made to identify ideal test locations and mega-environments using GGE biplot analysis. The CSSRI sodic environment was the most discriminating location in individual years as well as over the years and could be used to screen out unstable and salt-sensitive genotypes. Genotypes CSR36, CSR-2K-219, and CSR-2K-262 were found ideal across years. Overall, Genotypes CSR-2K-219, CSR-2K-262, and CSR-2K-242 were found superior and stable among all genotypes with higher mean yields. Different sets of genotypes emerged as winners in saline soils but not in sodic soils; however, Genotype CSR-2K-262 was the only genotype that was best under both saline and alkaline environments over the years. The lack of repeatable associations among locations and repeatable mega-environment groupings indicated the complexity of soil salinity. Hence, a multi-location and multi-year evaluation is indispensable for evaluating the test sites as well as identifying genotypes with consistently specific and wider adaptation to particular agro-climatic zones. The genotypes identified in the present study could be used for commercial cultivation across edaphically challenged areas for sustainable production.
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spelling pubmed-55542132017-08-15 Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India Krishnamurthy, S. L. Sharma, P. C. Sharma, D. K. Ravikiran, K. T. Singh, Y. P. Mishra, V. K. Burman, D. Maji, B. Mandal, S. Sarangi, S. K. Gautam, R. K. Singh, P. K. Manohara, K. K. Marandi, B. C. Padmavathi, G. Vanve, P. B. Patil, K. D. Thirumeni, S. Verma, O. P. Khan, A. H. Tiwari, S. Geetha, S. Shakila, M. Gill, R Yadav, V. K. Roy, S. K. B. Prakash, M. Bonifacio, J. Ismail, Abdelbagi Gregorio, G. B. Singh, Rakesh Kumar Sci Rep Article In the present study, a total of 53 promising salt-tolerant genotypes were tested across 18 salt-affected diverse locations for three years. An attempt was made to identify ideal test locations and mega-environments using GGE biplot analysis. The CSSRI sodic environment was the most discriminating location in individual years as well as over the years and could be used to screen out unstable and salt-sensitive genotypes. Genotypes CSR36, CSR-2K-219, and CSR-2K-262 were found ideal across years. Overall, Genotypes CSR-2K-219, CSR-2K-262, and CSR-2K-242 were found superior and stable among all genotypes with higher mean yields. Different sets of genotypes emerged as winners in saline soils but not in sodic soils; however, Genotype CSR-2K-262 was the only genotype that was best under both saline and alkaline environments over the years. The lack of repeatable associations among locations and repeatable mega-environment groupings indicated the complexity of soil salinity. Hence, a multi-location and multi-year evaluation is indispensable for evaluating the test sites as well as identifying genotypes with consistently specific and wider adaptation to particular agro-climatic zones. The genotypes identified in the present study could be used for commercial cultivation across edaphically challenged areas for sustainable production. Nature Publishing Group UK 2017-08-11 /pmc/articles/PMC5554213/ /pubmed/28801586 http://dx.doi.org/10.1038/s41598-017-08532-7 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Krishnamurthy, S. L.
Sharma, P. C.
Sharma, D. K.
Ravikiran, K. T.
Singh, Y. P.
Mishra, V. K.
Burman, D.
Maji, B.
Mandal, S.
Sarangi, S. K.
Gautam, R. K.
Singh, P. K.
Manohara, K. K.
Marandi, B. C.
Padmavathi, G.
Vanve, P. B.
Patil, K. D.
Thirumeni, S.
Verma, O. P.
Khan, A. H.
Tiwari, S.
Geetha, S.
Shakila, M.
Gill, R
Yadav, V. K.
Roy, S. K. B.
Prakash, M.
Bonifacio, J.
Ismail, Abdelbagi
Gregorio, G. B.
Singh, Rakesh Kumar
Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India
title Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India
title_full Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India
title_fullStr Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India
title_full_unstemmed Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India
title_short Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India
title_sort identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554213/
https://www.ncbi.nlm.nih.gov/pubmed/28801586
http://dx.doi.org/10.1038/s41598-017-08532-7
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