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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Indian Society of Plant Breeders
2023-09-01
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Series: | Electronic Journal of Plant Breeding |
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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. |
first_indexed | 2024-03-11T18:52:45Z |
format | Article |
id | doaj.art-8a4516e5bfba4ab79014eefd0f2cfe70 |
institution | Directory Open Access Journal |
issn | 0975-928X |
language | English |
last_indexed | 2024-03-11T18:52:45Z |
publishDate | 2023-09-01 |
publisher | Indian Society of Plant Breeders |
record_format | Article |
series | Electronic Journal of Plant Breeding |
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 |
work_keys_str_mv | AT mameenashankari1rsuresh2smanonmani2mraveendran3vbaburajendraprasad4andsmuthuramu5 performanceofqdtyqtlintrogressedlinesofriceoryzasativalundertargetproductionenvironment |