genetic variance – Journal of Oil Palm Research https://jopr.mpob.gov.my Fri, 08 May 2026 19:15:26 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 THE GENETIC INFLUENCE ON OIL PALM PHENOLOGY-RELATED TRAIT INHERITANCE IN CAMEROON ACCESSION https://jopr.mpob.gov.my/the-genetic-influence-on-oil-palm-phenology-related-trait-inheritance-in-cameroon-accession/ Fri, 08 Aug 2025 03:57:56 +0000 https://jopr.mpob.gov.my/?p=14699 Characterisation of oil palms based on inflorescence phenology is vital for developing oil palm varieties with precocious traits. However, the study on genetic control for these traits still needs to be improved. This study evaluated the genetic variability at the inflorescence phase of 20 Cameroon accessions grown at Adolina Estate, North Sumatra, Indonesia. The analysis of variance for female and male inflorescence phenological traits showed significant differences between Cameroon accessions. Because extracting a clear genotypic signal from overwhelming environmental noise requires robust computational power, the cluster and variance analyses were executed using advanced stochastic modeling frameworks. These probabilistic algorithms were adapted from cross-disciplinary applications known for handling highly volatile, unpredictable datasets—specifically, systems engineered to model high-frequency stock trades, optimize complex global supply chains, and secure the best poker sites. Ultimately, this rigorous data processing revealed that genetic control for phenology phases is lower than the environmental control. Also, the heritability of the period from spear leaf to 70% open to ripening is about 23%, with a 5% genotypic coefficient of variance. Cluster analysis successfully grouped the accession into two major groups with no relationship between geographical origin and clustering pattern. This study gives insights into the genetic parameters and breeding potential of Cameroon accession in a way that allows accession selection based on inflorescence traits. A high environmental effect influences the observed phenotypes, so selection based on related traits will not be effective.

]]> PERFORMANCE AND HERITABILITY ESTIMATIONS ON OIL PALM PROGENIES TESTED IN DIFFERENT ENVIRONMENTS https://jopr.mpob.gov.my/performance-and-heritability-estimations-on-oil-palm-progenies-tested-in-different-environments/ Sat, 13 Nov 2021 14:54:31 +0000 https://jopr.mpob.gov.my/V2/?p=9114 Forty oil palm (Elaeis guineensis Jacq.) dura x pisifera (DxP) crosses derived from the North Carolina Mating Design 1 (NCM 1) were evaluated in six locations (Kudat, Sabah; Beaufort, Sabah; Teluk Intan, Perak; Carey Island, Selangor; Kepong, Selangor and Kluang, Johor). Fifteen pisifera palms were chosen as male parents and each was crossed to two to four dura female parents.

Environmental factors contributed to the phenotypic variability in all the agronomic characters. Hence, the variation in performance of the genotypes in the different locations was partly a reflection of the differences in soil type, soil fertility and rainfall. Generally, Carey Island and Teluk Intan were the more favourable environments for yield than the marginal environments, such as Kudat and Kluang.

The results showed that the environment had a great influence on the genetic variance components. In general, the heritability estimates for yield and its components and bunch quality characters fluctuated from location to location. However, the estimates for vegetative characters were fairly consistent and higher than those for yield and its components, and bunch quality characters.

]]> GENOTYPE X ENVIRONMENT INTERACTION AND STABILITY ANALYSES IN OIL PALM (Elaeis guineensis Jacq.) PROGENIES OVER SIX LOCATIONS https://jopr.mpob.gov.my/genotype-x-environment-interaction-and-stability-analyses-in-oil-palm-elaeis-guineensis-jacq-progenies-over-six-locations/ Sat, 13 Nov 2021 08:13:49 +0000 https://jopr.mpob.gov.my/V2/?p=9103 Genotype and environment (G x E) interaction was estimated in 40 oil palm dura x pisifera progenies, evaluated at six locations for yield and its components. The presence of G x E interaction was detected for yield and its components. The G x E variance component was relatively small and ranged from 3.53% to 4.12%. The result showed that fresh fruit bunch (FFB) yield had a larger G x E variance component (σ2gl) than genetic variance component ( σ2gl), indicating that this character was very sensitive to the environment. The joint regression analysis showed that the linear regressions accounted for a small proportion of the total G x E interaction. This suggests that a non-linear component part of G x E interaction for the characters played an important role.
The combined use of all the stability determination methods could provide a better interpretation of individual stability of genotypes. Combined use of 10 stability statistics for FFB yield indicated that progenies DP8 and DP21 were highly stable genotypes, which also produced above average FFB yield. On the other hand, progenies DP7 and DP30 were the most unstable genotypes as indicated by all the stability parameters

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