dc.description.abstract |
Efforts to improve genetic quality of cattle through selection require information on genetic
parameters of cattle breed population. Without estimation of genetic parameters, breeding
program setting which could be used as a tool for breed improvement program seems hardly
possible. With this fact data found at Metekel Ranch was used to analyze with the objectives of
estimating genetic parameters of growth and reproduction traits of Fogera cattle and estimating
the breeding value of sire. The implications of non-genetic/environmental effects on growth and
reproductive performance of the Fogera cattle were assessed in relation to the effects of sex of
the calf, season, year and parity of the dam. The OLM procedure of (SAS, 2004) was used to
analyze the effects of these fixed effects. WOMBAT was used to estimate genetic parameters, sire
breeding value and inbreeding levels of the population. The data set used for analysis consisted
of5513, 3223 and 3223 recordsfor BWT, AWWT, and PADO respectively and 1008,1029,1250
and 1359 records for AFC, DO, OL and Cl respectively. Result offixed effect analysis revealed
that all the fixed effects analyzed show a significant (p<0. 001) effect and cause variation in birth
weight (BWT) and adjusted weaning weight (AWWT). Sex had no significant effect for pre
weaning average daily gain (PADO) and for all reproductive traits. For age at first calving
(AFC) only year has shown a significant (p<0.001) effect. Results of the analysis on non-genetic
factors on growth and reproductive performance suggest that presence of inconsistency in
management activity of the ranch. Four models (Modell (Y= Xb + Zia + e); Model2 (Y= Xb +
Zia + Z3C+ e); Model3 (Y= Xb + Zia + Z2m + e; cov a,m = 0) and Model4 (Y= Xb + Zia + Z2m
+ Z3C + e; cov a,m = 0) were used to estimate genetic parameters and model 4 was the best
model for all traits. Heritability value and additive variance for all traits were low. Estimates of
direct heritability of growth performance traits from the best model ranged from 0.03 ± 0.02 for
BWT to 0.06 ± 0.03 for A WWT and for reproductive traits ranged from 0.00 ± 0.03 for OL and
Cl to 0.013 ± 0.03 for DO. The error variance (the variation due to temporary environment) was
VI
high for both growth and reproductive traits. The estimates confirmed the presence of high
environmental effect among the study population. Given the low heritability estimates obtained,
effective improvement in growth and reproduction performance of Fogera cattle could be
achieved by improving the production conditions and through crossbreeding. The phenotypic
correlation between growth ranged from -0.10 ± 0.02 for BWT and PADG to 0.99 ± O.Olfor
AWWT and PADG and between reproductive traits rangedfrom 0.003 ± 0.034 for Cl and GL to
0.321 ± 0.041 for Cl and DO. Genetic correlation between growth traits were rangedfrom 0.5 ±
0.27 for BWT and PADG to 0.99 ± O.OOforA WWT and PADG, between growth and AFC ranged
from 0.77 ± 0.24 for BWT and AFC to 0.87 ± 0.03 for PADG and AFC and between reproductive
traits ranged from -0.94 ± 0.2 for DO and GL to 0.83 ± 0.579 for Cl and DO. The phenotypic
and genetic correlation between BWT and GL were 0.026 ± 0.05 and -0.84 ± 0.013. The result of
genetic correlation between considered traits were ranged from moderate to high and it
indicates that selection for one trait would have a significant effect on the other traits not
considered however selection must be done with caution. Estimated overall mean breeding
values for BWT, AWWT and PADG were 0.046 ± 0.23 kg, 0.26 ± 2.4 kg and 0.0002 ± 0.009kg,
respectively. The estimated inbreeding value (0.11%) was lower than the critical level (0.5%)
and only 60 animals were found inbred. The trends of sire breeding values for all growth traits
were negative. The hypothesis that selection based on phenotypic performance of animals will
bring genetic progress in the herd was rejected and it is concluded that selection based on
physical appraisal did not bring genetic progress. The selection method should be updated and
must be based on genetic evaluation of individual animals. |
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