PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.)

Appropriate parental selection is the breeder’s main concern to exploit the highest genetic diversity and generate superior genotypes for subsequent breeding programs. Hence, the presented investigation proceeded to evaluate 353 breeding lines of rice at three breeding zones (Rajshahi, Cumilla, and...

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Autor principal: Khatun, M.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Society for the Advancement of Breeding Research in Asia and Oceania 2023
Acceso en línea:https://hdl.handle.net/10568/163878
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author Khatun, M.
author_browse Khatun, M.
author_facet Khatun, M.
author_sort Khatun, M.
collection Repository of Agricultural Research Outputs (CGSpace)
description Appropriate parental selection is the breeder’s main concern to exploit the highest genetic diversity and generate superior genotypes for subsequent breeding programs. Hence, the presented investigation proceeded to evaluate 353 breeding lines of rice at three breeding zones (Rajshahi, Cumilla, and Gazipur) in Bangladesh in replicated yield trials during the Boro season of 2018–2019 to identify the best genotypes and utilize them as parental materials. Data recorded on 12 yield-related traits helped to determine the best breeding lines with higher predicted breeding values. The first five principal components (PC1, PC2, PC3, PC4, and PC5) represented more than 70% (75.1%) contribution to the variability of the data. Three hundred fifty-three rice genotypes incurred distribution into five clusters over three environments. Clusters I, II, III, IV, and V comprised 66, 51, 83, 79, and 74 genotypes, respectively. Based on estimated breeding values (EBVs), IR107971-B-B RGA-B RGA-202 showed the highest value (0.395), followed by IR 108000-B-B-B-B-13 (0.329), IR 103309-B-B RGA-B RGA-194 (0.321), IR 107982-B-41-1-2-1 (0.291), IRRI 174 (0.264), and IR 107976-B-B RGA-B RGA-254 (0.234). The lowest EBV (0.022) appeared in IR103309-B-B RGA-B RGA- 204 among the top 20 genotypes. Both IR 103309-B-B RGA-B RGA-194 (0.321) and IR 107982-B-41- 1-2-1 (0.291) could benefit as parents for further breeding programs having higher EBVs and higher genetic diversity.
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spelling CGSpace1638782026-01-05T13:39:57Z PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.) Khatun, M. Appropriate parental selection is the breeder’s main concern to exploit the highest genetic diversity and generate superior genotypes for subsequent breeding programs. Hence, the presented investigation proceeded to evaluate 353 breeding lines of rice at three breeding zones (Rajshahi, Cumilla, and Gazipur) in Bangladesh in replicated yield trials during the Boro season of 2018–2019 to identify the best genotypes and utilize them as parental materials. Data recorded on 12 yield-related traits helped to determine the best breeding lines with higher predicted breeding values. The first five principal components (PC1, PC2, PC3, PC4, and PC5) represented more than 70% (75.1%) contribution to the variability of the data. Three hundred fifty-three rice genotypes incurred distribution into five clusters over three environments. Clusters I, II, III, IV, and V comprised 66, 51, 83, 79, and 74 genotypes, respectively. Based on estimated breeding values (EBVs), IR107971-B-B RGA-B RGA-202 showed the highest value (0.395), followed by IR 108000-B-B-B-B-13 (0.329), IR 103309-B-B RGA-B RGA-194 (0.321), IR 107982-B-41-1-2-1 (0.291), IRRI 174 (0.264), and IR 107976-B-B RGA-B RGA-254 (0.234). The lowest EBV (0.022) appeared in IR103309-B-B RGA-B RGA- 204 among the top 20 genotypes. Both IR 103309-B-B RGA-B RGA-194 (0.321) and IR 107982-B-41- 1-2-1 (0.291) could benefit as parents for further breeding programs having higher EBVs and higher genetic diversity. 2023-12-27 2024-12-19T12:53:09Z 2024-12-19T12:53:09Z Journal Article https://hdl.handle.net/10568/163878 en Society for the Advancement of Breeding Research in Asia and Oceania KHATUN, M. 2023. PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.). SABRAOJBG, Volume 55 no. 6 p. 1886-1896
spellingShingle Khatun, M.
PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.)
title PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.)
title_full PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.)
title_fullStr PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.)
title_full_unstemmed PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.)
title_short PRINCIPAL COMPONENT ANALYSIS AND ESTIMATED BREEDING VALUES FOR SELECTING SUITABLE PARENTAL GENOTYPES IN RICE (ORYZA SATIVA L.)
title_sort principal component analysis and estimated breeding values for selecting suitable parental genotypes in rice oryza sativa l
url https://hdl.handle.net/10568/163878
work_keys_str_mv AT khatunm principalcomponentanalysisandestimatedbreedingvaluesforselectingsuitableparentalgenotypesinriceoryzasatival