https://jopr.mpob.gov.my Wed, 01 Apr 2026 00:11:12 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 https://jopr.mpob.gov.my/genetic-diversity-of-mpob-zaire-oil-palm-elaeis-guineensis-jacq-germplasm-population-by-multivariate-analysis/ Sun, 10 Nov 2024 23:30:37 +0000 https://jopr.mpob.gov.my/?p=13937 Information on the genetic diversity of the oil palm germplasms is important for the establishment of an ex-situ core collection. In this study, the assessment of genetic diversity in the MPOB-Zaire oil palm germplasm collection may prove to be valuable in developing appropriate sampling strategies for conservation. Data for 18 phenotypic variables for 55 populations were analysed for principal component analysis (PCA) and cluster analysis (CA). Five paramount principal components with eigenvalues >1.0 accounted for 82.7% of the total variability. PC1 revealed the highest contribution and predominantly attributed to average bunch weight, leaf area index, and bunch weight variables. PC2 was highly associated with oil to bunch, mesocarp to fruit and oil to dry mesocarp. The evaluated populations were grouped into two major clusters, each comprising a few sub-clusters based on phenotypic variables. The study revealed that the MPOB-Zaire germplasm has potential, where selected populations e.g. ZER21, which show dwarf (28.12 cm yr^-1) and high kernel (8.03%) characteristics can be used in introgression programmes to further improve advanced breeding lines and develop new breeding material. These results may assist in the selection strategies of populations for regeneration purposes and secure a greater range of diversity compared to sampling at random. Molecular-based diversity patterns could be integrated in future to effectively conserve and exploit.

]]> https://jopr.mpob.gov.my/genetic-variability-of-mpob-cameroon-oil-palm-germplasm-based-on-morphological-traits-using-multivariate-analysis/ Fri, 08 Jul 2022 03:48:31 +0000 https://jopr.mpob.gov.my/?p=12423 Understanding genetic variability and its distribution among breeding materials is a prerequisite to improveconservation programmes and design breeding strategies. In this study, 31 populations of dura palmsfrom MPOB-Cameroon oil palm germplasm were evaluated for 21 quantitative traits. Data retrieved fromthe MPOB Breeding Information System (MPOB-BIS™) was investigated for genetic variability usingprincipal component analysis (PCA) and cluster analysis (CA). The first six principal components (PC1-PC6) with eigenvalue >1.0, accounted for 91.89% of the total variability. The first principal component,PC1 which accounted for 38.35% of the total variation was the largest, contributed by oil yield and totaleconomic product. Whilst PC2 with 16.86% total variation was positively associated with bunch index,bunch number and kernel yield. Population CMR 03 is considered extremely distinct and most positivealong PC1 as it performed well in most of bunch quality traits. Population CMR 13 is most positive towardsPC2 and among the most negative towards PC1 due to good performance in some vegetative traits studied.CA revealed greater variation among the materials evaluated. Complementing this study with molecularanalysis provides the impetus for leveraging new genetic resources in future oil palm improvements andmore tractable conservation of oil palm germplasm.

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