Genotype × birth type or rearing-type interactions for growth and ultrasound scanning traits in Merino sheep
A. Dakhlan A B D , N. Moghaddar A C and J. H. J. van der Werf A C
+ Author Affiliations
- Author Affiliations
A School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
B On study leave from The University of Lampung, Indonesia.
C CRC for Sheep Industry Innovation, Armidale, NSW 2351, Australia.
D Corresponding author. Email: dakhmad@myune.edu.au; akhmad.dakhlan@fp.unila.ac.id
Animal Production Science 59(6) 1016-1021 https://doi.org/10.1071/AN17464
Submitted: 5 June 2017 Accepted: 15 May 2018 Published: 1 August 2018
Abstract
This study explores the interaction between genetic potential for growth in Merino lambs and their birth type (BT) or rearing type (RT). Data on birthweight (BWT), weaning weight (WWT), post-weaning weight (PWWT), scan fat (PFAT) and eye muscle depth (PEMD) were used from 3920 single and 4492 twin-born lambs from 285 sires and 5279 dams. Univariate analysis showed a significant sire × BT interaction accounting for 1.59% and 2.49% of the phenotypic variation for BWT and WWT, respectively, and no significant effect for PWWT, PFAT and PEMD. Sire × RT interaction effects were much smaller and only significant for PEMD. Bivariate analysis indicated that the genetic correlation (rg) between trait expression in lambs born and reared as singles versus those born and reared as twins were high for BWT, WWT, PWWT (0.91 ± 0.02 – 0.96 ± 0.01), whereas rg for PFAT and PEMD were lower (0.81 ± 0.03 and 0.86 ± 0.02). The rg between traits expressed in lambs born and reared as singles versus those born as twins but reared as singles were lower: 0.77 ± 0.08, 0.88 ± 0.03, 0.66 ± 0.06 and 0.61 ± 0.08 for WWT, PWWT, PFAT and PEMD, respectively. A different RT only affected the expression of breeding values for PFAT and PEMD (rg 0.62 ± 0.04 and 0.47 ± 0.03, respectively). This study showed genotype × environment interaction for BWT and WWT (sire × BT interaction) and for PEMD (sire by RT interaction). However, sires’ breeding value of a model that accounts for sire × BT interaction provides a very similar ranking of sires compared with a model that ignores it, implying that there is no need to correct for the effect in models for genetic evaluation.
Additional keywords: genotype × environment interaction, growth traits, univariate and bivariate analysis.
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