Performance of qDTY QTL introgressed lines of rice (Oryza sativa L.) under target production environment

Drought is an important factor limiting rice productivity in rainfed ecosystem. Development of high yielding drought tolerant rice varieties would increase rice production under such condition. In the present study, 116 qDTY QTL introgressed back crossed inbred lines (BILs) derived from the cros...

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Main Author: M. A. Meena Shankari1 , R. Suresh2*, S. Manonmani2 , M. Raveendran3 , V. Babu Rajendra Prasad4 and S. Muthuramu5
Format: Article
Language:English
Published: Indian Society of Plant Breeders 2023-09-01
Series:Electronic Journal of Plant Breeding
Subjects:
Online Access:https://ejplantbreeding.org/index.php/EJPB/article/view/4914
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author M. A. Meena Shankari1 , R. Suresh2*, S. Manonmani2 , M. Raveendran3 , V. Babu Rajendra Prasad4 and S. Muthuramu5
author_facet M. A. Meena Shankari1 , R. Suresh2*, S. Manonmani2 , M. Raveendran3 , V. Babu Rajendra Prasad4 and S. Muthuramu5
author_sort M. A. Meena Shankari1 , R. Suresh2*, S. Manonmani2 , M. Raveendran3 , V. Babu Rajendra Prasad4 and S. Muthuramu5
collection DOAJ
description Drought is an important factor limiting rice productivity in rainfed ecosystem. Development of high yielding drought tolerant rice varieties would increase rice production under such condition. In the present study, 116 qDTY QTL introgressed back crossed inbred lines (BILs) derived from the crosses viz., ADT (R) 45 * 3/Apo, ADT (R) 45 * 3/ Way Rarem and ADT (R) 45 * 2/Apo // ADT (R) 45 * 2/ Way Rarem along with parents were evaluated to assess their performance under target production environment. Estimates on genetic variability, trait association, direct and indirect effects of yield and yield components and principal component analysis were worked out. The results of genetic variability showed wide variation among the genotypes for different traits. High values of PCV than GCV showed the influence of environment on the traits. Genotypes could be selected based on total number of tillers per plant, number of productive tillers per plant, spikelet fertility, single plant yield, 1000 seed weight and grain yield per plot, which were found to have high heritability and genetic advance. Correlation analysis exhibited high and significant positive correlation of grain yield per plot with single plant yield and non significant positive association of all the traits except plant height that was negatively correlated. Path coefficient analysis of the genotypes showed that total number of tillers per plant had maximum direct effect on grain yield, while number of productive tillers per plant had high indirect effect on grain yield via total number of tillers. Based on genetic variability, correlation and path analysis, selection for six traits, viz., total number of tillers per plant, number of productive tillers per plant, single plant yield, spikelet fertility, 1000 seed weight and grain yield per plot, would be rewarding. The results of principal component analysis revealed that, four out of eleven principal components viz., PC1, PC2, PC3 and PC4 contributed 72.62% of the total variation with eigen values more than 1. PC1 accounted for the highest variability with 24.66% followed by PC2 (20.42%), PC3 (16.19%) and PC4 (11.35%). From this study, the traits contributing for variation were identified and the resulting genotypes would be beneficial for improving yield with drought tolerance.
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spelling doaj.art-8a4516e5bfba4ab79014eefd0f2cfe702023-10-11T07:38:44ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2023-09-01143 1016 1025https://doi.org/10.37992/2023.1403.135Performance of qDTY QTL introgressed lines of rice (Oryza sativa L.) under target production environmentM. A. Meena Shankari1 , R. Suresh2*, S. Manonmani2 , M. Raveendran3 , V. Babu Rajendra Prasad4 and S. Muthuramu501 Department of Genetics and Plant Breeding, CPBG, Tamil Nadu Agricultural University, Coimbatore – 641003. 2 Department of Rice, CPBG, Tamil Nadu Agricultural University, Coimbatore – 641003. 3 Department of Plant Biotechnology, CPMB & B, Tamil Nadu Agricultural University, Coimbatore – 641003. 4 Department of Crop Physiology, DCM, Tamil Nadu Agricultural University, Coimbatore – 641003. 5 Agricultural Research Station, Tamil Nadu Agricultural University, Paramakudi – 623707. *E-Mail: suresh.r@tnau.ac.inDrought is an important factor limiting rice productivity in rainfed ecosystem. Development of high yielding drought tolerant rice varieties would increase rice production under such condition. In the present study, 116 qDTY QTL introgressed back crossed inbred lines (BILs) derived from the crosses viz., ADT (R) 45 * 3/Apo, ADT (R) 45 * 3/ Way Rarem and ADT (R) 45 * 2/Apo // ADT (R) 45 * 2/ Way Rarem along with parents were evaluated to assess their performance under target production environment. Estimates on genetic variability, trait association, direct and indirect effects of yield and yield components and principal component analysis were worked out. The results of genetic variability showed wide variation among the genotypes for different traits. High values of PCV than GCV showed the influence of environment on the traits. Genotypes could be selected based on total number of tillers per plant, number of productive tillers per plant, spikelet fertility, single plant yield, 1000 seed weight and grain yield per plot, which were found to have high heritability and genetic advance. Correlation analysis exhibited high and significant positive correlation of grain yield per plot with single plant yield and non significant positive association of all the traits except plant height that was negatively correlated. Path coefficient analysis of the genotypes showed that total number of tillers per plant had maximum direct effect on grain yield, while number of productive tillers per plant had high indirect effect on grain yield via total number of tillers. Based on genetic variability, correlation and path analysis, selection for six traits, viz., total number of tillers per plant, number of productive tillers per plant, single plant yield, spikelet fertility, 1000 seed weight and grain yield per plot, would be rewarding. The results of principal component analysis revealed that, four out of eleven principal components viz., PC1, PC2, PC3 and PC4 contributed 72.62% of the total variation with eigen values more than 1. PC1 accounted for the highest variability with 24.66% followed by PC2 (20.42%), PC3 (16.19%) and PC4 (11.35%). From this study, the traits contributing for variation were identified and the resulting genotypes would be beneficial for improving yield with drought tolerance.https://ejplantbreeding.org/index.php/EJPB/article/view/4914target production environmentvariabilitycorrelationprincipal component analysis
spellingShingle M. A. Meena Shankari1 , R. Suresh2*, S. Manonmani2 , M. Raveendran3 , V. Babu Rajendra Prasad4 and S. Muthuramu5
Performance of qDTY QTL introgressed lines of rice (Oryza sativa L.) under target production environment
Electronic Journal of Plant Breeding
target production environment
variability
correlation
principal component analysis
title Performance of qDTY QTL introgressed lines of rice (Oryza sativa L.) under target production environment
title_full Performance of qDTY QTL introgressed lines of rice (Oryza sativa L.) under target production environment
title_fullStr Performance of qDTY QTL introgressed lines of rice (Oryza sativa L.) under target production environment
title_full_unstemmed Performance of qDTY QTL introgressed lines of rice (Oryza sativa L.) under target production environment
title_short Performance of qDTY QTL introgressed lines of rice (Oryza sativa L.) under target production environment
title_sort performance of qdty qtl introgressed lines of rice oryza sativa l under target production environment
topic target production environment
variability
correlation
principal component analysis
url https://ejplantbreeding.org/index.php/EJPB/article/view/4914
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