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Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature

Recent predictions on climate change indicate that high temperature episodes are expected to impact rice production and productivity worldwide. The present investigation was undertaken to assess the yield stability of 72 rice hybrids and their parental lines across three temperature regimes over two...

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Autores principales: Senguttuvel, P., Sravanraju, N., Jaldhani, V., Divya, B., Beulah, P., Nagaraju, P., Manasa, Y., Prasad, A. S. Hari, Brajendra, P., Gireesh, C., Anantha, M. S., Suneetha, K., Sundaram, R. M., Madhav, M. Sheshu, Tuti, M. D., Subbarao, L. V., Neeraja, C. N., Bhadana, V. P., Rao, P. R., Voleti, S. R., Subrahmanyam, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338964/
https://www.ncbi.nlm.nih.gov/pubmed/34349182
http://dx.doi.org/10.1038/s41598-021-95264-4
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author Senguttuvel, P.
Sravanraju, N.
Jaldhani, V.
Divya, B.
Beulah, P.
Nagaraju, P.
Manasa, Y.
Prasad, A. S. Hari
Brajendra, P.
Gireesh, C.
Anantha, M. S.
Suneetha, K.
Sundaram, R. M.
Madhav, M. Sheshu
Tuti, M. D.
Subbarao, L. V.
Neeraja, C. N.
Bhadana, V. P.
Rao, P. R.
Voleti, S. R.
Subrahmanyam, D.
author_facet Senguttuvel, P.
Sravanraju, N.
Jaldhani, V.
Divya, B.
Beulah, P.
Nagaraju, P.
Manasa, Y.
Prasad, A. S. Hari
Brajendra, P.
Gireesh, C.
Anantha, M. S.
Suneetha, K.
Sundaram, R. M.
Madhav, M. Sheshu
Tuti, M. D.
Subbarao, L. V.
Neeraja, C. N.
Bhadana, V. P.
Rao, P. R.
Voleti, S. R.
Subrahmanyam, D.
author_sort Senguttuvel, P.
collection PubMed
description Recent predictions on climate change indicate that high temperature episodes are expected to impact rice production and productivity worldwide. The present investigation was undertaken to assess the yield stability of 72 rice hybrids and their parental lines across three temperature regimes over two consecutive dry seasons using the additive main effect and multiplicative interaction (AMMI), genotype and genotype × environment interaction (GGE) stability model analysis. The combined ANOVA revealed that genotype × environment interaction (GEI) were significant due to the linear component for most of the traits studied. The AMMI and GGE biplot explained 57.2% and 69% of the observed genotypic variation for grain yield, respectively. Spikelet fertility was the most affected yield contributing trait and in contrast, plant height and tiller numbers were the least affected traits. In case of spikelet fertility, grain yield and other yield contributing traits, male parent contributed towards heat tolerance of the hybrids compared to the female parent. The parental lines G74 (IR58025B), G83 (IR40750R), G85 (C20R) and hybrids [G21 (IR58025A × KMR3); G3 (APMS6A × KMR3); G57 (IR68897A × KMR3) and G41 (IR79156A × RPHR1005)] were the most stable across the environments for grain yield. They can be considered as potential genotypes for cultivation under high temperature stress after evaluating under multi location trials.
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spelling pubmed-83389642021-08-05 Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature Senguttuvel, P. Sravanraju, N. Jaldhani, V. Divya, B. Beulah, P. Nagaraju, P. Manasa, Y. Prasad, A. S. Hari Brajendra, P. Gireesh, C. Anantha, M. S. Suneetha, K. Sundaram, R. M. Madhav, M. Sheshu Tuti, M. D. Subbarao, L. V. Neeraja, C. N. Bhadana, V. P. Rao, P. R. Voleti, S. R. Subrahmanyam, D. Sci Rep Article Recent predictions on climate change indicate that high temperature episodes are expected to impact rice production and productivity worldwide. The present investigation was undertaken to assess the yield stability of 72 rice hybrids and their parental lines across three temperature regimes over two consecutive dry seasons using the additive main effect and multiplicative interaction (AMMI), genotype and genotype × environment interaction (GGE) stability model analysis. The combined ANOVA revealed that genotype × environment interaction (GEI) were significant due to the linear component for most of the traits studied. The AMMI and GGE biplot explained 57.2% and 69% of the observed genotypic variation for grain yield, respectively. Spikelet fertility was the most affected yield contributing trait and in contrast, plant height and tiller numbers were the least affected traits. In case of spikelet fertility, grain yield and other yield contributing traits, male parent contributed towards heat tolerance of the hybrids compared to the female parent. The parental lines G74 (IR58025B), G83 (IR40750R), G85 (C20R) and hybrids [G21 (IR58025A × KMR3); G3 (APMS6A × KMR3); G57 (IR68897A × KMR3) and G41 (IR79156A × RPHR1005)] were the most stable across the environments for grain yield. They can be considered as potential genotypes for cultivation under high temperature stress after evaluating under multi location trials. Nature Publishing Group UK 2021-08-04 /pmc/articles/PMC8338964/ /pubmed/34349182 http://dx.doi.org/10.1038/s41598-021-95264-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Senguttuvel, P.
Sravanraju, N.
Jaldhani, V.
Divya, B.
Beulah, P.
Nagaraju, P.
Manasa, Y.
Prasad, A. S. Hari
Brajendra, P.
Gireesh, C.
Anantha, M. S.
Suneetha, K.
Sundaram, R. M.
Madhav, M. Sheshu
Tuti, M. D.
Subbarao, L. V.
Neeraja, C. N.
Bhadana, V. P.
Rao, P. R.
Voleti, S. R.
Subrahmanyam, D.
Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature
title Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature
title_full Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature
title_fullStr Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature
title_full_unstemmed Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature
title_short Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature
title_sort evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338964/
https://www.ncbi.nlm.nih.gov/pubmed/34349182
http://dx.doi.org/10.1038/s41598-021-95264-4
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