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

How to Cite

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

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Section

Articles