Candidate traits for index selection in choice of oil palm ortets for clonal propagation

The objective of the study was to examine the usefulness of: principal component scores (PC), factor analysis cum stepwise regression identified traits (FASR) and selected traits based on their higher heritabilities and genetic correlations to the objective traits (HGC); as selection traits in a des...

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Main Authors: Soh, A.C., Chow, C.S., Iyama, S., Yamada, Y.
Format: Article
Language:English
Published: Springer Science and Business Media LLC 1994
Online Access:http://psasir.upm.edu.my/id/eprint/115071/
http://psasir.upm.edu.my/id/eprint/115071/1/115071.pdf
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author Soh, A.C.
Chow, C.S.
Iyama, S.
Yamada, Y.
author_facet Soh, A.C.
Chow, C.S.
Iyama, S.
Yamada, Y.
author_sort Soh, A.C.
building UPM Institutional Repository
collection Online Access
description The objective of the study was to examine the usefulness of: principal component scores (PC), factor analysis cum stepwise regression identified traits (FASR) and selected traits based on their higher heritabilities and genetic correlations to the objective traits (HGC); as selection traits in a desired gains selection index (Yamada et al., 1975) to improve objective traits (oil yield, kernel oil yield, height increment, bunch index and leaf area ratio) as compared to those based on all the observed traits (AO); in selecting oil palm ortets for cloning. Based on the required selection intensities (i*) to achieve the desired gains AO indices having smaller i*'s were most efficient followed by PC, HGC and FASR indices. Expected selection response (1/i*), however, is expected to increase with additional selection traits. As such HGC (bunch number, kernel to fruit and mesocarp to fruit) and FASR (mesocarp to fruit, fresh fruit bunch yield, fruit to bunch and average bunch weight) indices would be useful as they achieved expected selection responses close to AO indices with a small number of traits and would also minimise the contribution of highly correlated traits to sampling errors. The results also suggested considering selection indices for only two objective traits-oid yield and kernel oil yield-instead of all five objective traits in which case screening of impracticably large populations is needed to obtain desired genetic gains.
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spelling upm-1150712025-02-19T02:55:56Z http://psasir.upm.edu.my/id/eprint/115071/ Candidate traits for index selection in choice of oil palm ortets for clonal propagation Soh, A.C. Chow, C.S. Iyama, S. Yamada, Y. The objective of the study was to examine the usefulness of: principal component scores (PC), factor analysis cum stepwise regression identified traits (FASR) and selected traits based on their higher heritabilities and genetic correlations to the objective traits (HGC); as selection traits in a desired gains selection index (Yamada et al., 1975) to improve objective traits (oil yield, kernel oil yield, height increment, bunch index and leaf area ratio) as compared to those based on all the observed traits (AO); in selecting oil palm ortets for cloning. Based on the required selection intensities (i*) to achieve the desired gains AO indices having smaller i*'s were most efficient followed by PC, HGC and FASR indices. Expected selection response (1/i*), however, is expected to increase with additional selection traits. As such HGC (bunch number, kernel to fruit and mesocarp to fruit) and FASR (mesocarp to fruit, fresh fruit bunch yield, fruit to bunch and average bunch weight) indices would be useful as they achieved expected selection responses close to AO indices with a small number of traits and would also minimise the contribution of highly correlated traits to sampling errors. The results also suggested considering selection indices for only two objective traits-oid yield and kernel oil yield-instead of all five objective traits in which case screening of impracticably large populations is needed to obtain desired genetic gains. Springer Science and Business Media LLC 1994 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/115071/1/115071.pdf Soh, A.C. and Chow, C.S. and Iyama, S. and Yamada, Y. (1994) Candidate traits for index selection in choice of oil palm ortets for clonal propagation. Euphytica, 76 (1-2). pp. 23-32. ISSN 0014-2336; eISSN: 1573-5060 https://link.springer.com/article/10.1007/BF00024017?error=cookies_not_supported&code=06249999-d82b-4cb7-b8e8-7d742639e118 10.1007/BF00024017
spellingShingle Soh, A.C.
Chow, C.S.
Iyama, S.
Yamada, Y.
Candidate traits for index selection in choice of oil palm ortets for clonal propagation
title Candidate traits for index selection in choice of oil palm ortets for clonal propagation
title_full Candidate traits for index selection in choice of oil palm ortets for clonal propagation
title_fullStr Candidate traits for index selection in choice of oil palm ortets for clonal propagation
title_full_unstemmed Candidate traits for index selection in choice of oil palm ortets for clonal propagation
title_short Candidate traits for index selection in choice of oil palm ortets for clonal propagation
title_sort candidate traits for index selection in choice of oil palm ortets for clonal propagation
url http://psasir.upm.edu.my/id/eprint/115071/
http://psasir.upm.edu.my/id/eprint/115071/
http://psasir.upm.edu.my/id/eprint/115071/
http://psasir.upm.edu.my/id/eprint/115071/1/115071.pdf