Estimation of variance components for bodyweight of grasscutters using expectation maximization algorithm of restricted maximum likelihood

Authors

  • I. Udeh Delta State University, Asaba Campus

DOI:

https://doi.org/10.51791/njap.v44i5.1545

Keywords:

body weight, grass cutters, heritability, REML

Abstract

The objective of this study was to estimate the variance components and heritability of bodyweight of grasscutters at 4, 6 and 8 months of age using EM algorithm of REML procedures. The data used for the study were obtained from the bodyweight records of 20 grasscutters from four families at 4, 6 and 8 months of age. The heritability of bodyweight of grasscutters at 4, 6 and 8 months of age were 0.14, 0.10 and 0.12 respectively. This implies that about 10 – 14 % of the phenotypic variability of body weight in this grasscutter population was accounted by additive genetic variance while environmental and gene combination variance made a larger contribution. The implication is that selection of grasscutters in this population should not be based on the information on the animals alone but also information fromits relatives.

Author Biography

  • I. Udeh, Delta State University, Asaba Campus

    Department of Animal Science

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Published

2020-12-31

Issue

Section

Articles

How to Cite

Estimation of variance components for bodyweight of grasscutters using expectation maximization algorithm of restricted maximum likelihood. (2020). Nigerian Journal of Animal Production, 44(5), 5-8. https://doi.org/10.51791/njap.v44i5.1545