Sire by finishing environment interactions for beef cattle carcass
and meat quality traits
P.L. CHARTERIS, D.J. GARRICK & S.T. MORRIS
Institute of Veterinary, Animal and Biomedical Sciences,
Massey University, Palmerston North, New Zealand
ABSTRACT
Genotype by environment interactions can result in bulls having
different genetic merits applicable to different environments. Beef
cattle have traditionally been finished on pasture in New Zealand.
The desire to meet perceived market requirements for meat quality
has encouraged progeny testing and led to feedlotting. The objectives
of this study were to evaluate sires on the basis of performance
of their pasture-finished steer progeny, their feedlot-finished
steer progeny and to compare the assessments of these sires from
offspring in each environment.
Carcass and meat quality measures were obtained from 300 purebred
steers representing the progeny of 23 Angus sires. Fourteen of these
sires had progeny in both environments comprising 54 pasture-finished
steers and 148 feedlot-finished steers. Estimated Breeding Values
(EBVs) of each sire were obtained separately for eight traits that
were measured for both pasture and feedlot progeny. Evaluations
were obtained using single-trait Best Linear Unbiased Prediction
procedures. Product-moment correlations between sire EBVs based
on pasture-finished progeny and EBVs based on feedlot-finished progeny
averaged 0.11 (range -0.16 meat colour to 0.50 subcutaneous fat
depth) and rank correlations between sire EBVs averaged 0.11 (range
-0.13 fat colour to 0.49 subcutaneous fat depth).
The expected distributions of these correlations between EBVs were
obtained by simulation for a range of null hypotheses determined
by the true genetic correlation between performance in the two environments
using Monte Carlo simulation. The expected distributions of correlations
between environments were determined for differing numbers of progeny
per sire and for the effect of preselecting prior to entering the
progeny test. The distributions of correlations were used to test
whether the low observed correlations between EBVs estimated from
each environment were likely to have arisen from chance sampling
or were truly indicative of GxE interaction. The observed correlations
were not sufficiently low to reject the null hypothesis at P=0.05
since critical values were -0.18 or -0.36 for true genetic correlations
of 1.0 or 0.5. Increasing the number of progeny per sire would increase
the chance of detecting an interaction should one truly exist. In
that case separate progeny testing programmes for each feeding environment
may be necessary.
Presented at the 57th Annual conference of the New Zealand Society
of Animal Production, Lincoln University, Feb 11-14, 1997.
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