Estimation of Genetic Parameters of Lifetime Performance Traits in Murrah Buffaloes

2016 ◽  
Vol 6 (4) ◽  
pp. 645
Author(s):  
Kapil Dev ◽  
S.S. Dhaka ◽  
A.S. Yadav ◽  
C.S. Patil
Keyword(s):  
Genetic Parameters ◽  
Murrah Buffaloes ◽  
Lifetime Performance ◽  
Performance Traits ◽  
Estimation Of Genetic Parameters

scholarly journals Estimation of genetic parameters of weekly test-day milk yields and first lactation 305-day milk yield in Murrah buffaloes

2014 ◽  
Vol 7 (12) ◽  
pp. 1094-1098 ◽  
Author(s):  
Saroj Kumar Sahoo ◽  
Avtar Singh ◽  
A. K. Gupta ◽  
A. K. Chakravarty ◽  
Manvendra Singh ◽  
...  
Keyword(s):  
Milk Yield ◽  
Genetic Parameters ◽  
Murrah Buffaloes ◽  
Estimation Of Genetic Parameters

Genetic parameters among lactational performance traits in Murrah buffaloes

2015 ◽  
Author(s):  
A. Godara ◽  
D. Singh ◽  
S. S. Dhaka
Keyword(s):  
Genetic Correlation ◽  
Milk Yield ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Research Centre ◽  
Murrah Buffaloes ◽  
Performance Traits ◽  
Lactational Performance ◽  
Almost All ◽  
Animal Sciences

The data pertinent to lactational performance traits on Murrah buffaloes calved during period 1987 to 2002, progeny of 52 sires maintained at Buffalo Research Centre, LLR University of Veterinary and Animal Sciences, Hisar were considered. The estimates of heritability were obtained low to moderate for almost all lactational performance traits. All the first lactation traits viz., AC1, SP, CI, MY, LL, PY, DAPY and MY/LL had moderate to high positive genetic correlations among themselves except PY with CI and DAPY with AC1, which is negative. Age at calving (AC2) had moderate positive genetic correlation with second lactational performance traits like SP, MY, LL, PY, MY/LL and MY/CI and had negative correlations with DAPY and DP. Moreover, third lactational traits like milk yield, LL, PY, DAPY, MY/LL and MY/CI had high positive genetic correlations among themselves. However, age at calving during fourth lactation had positive genetic correlations with all the traits except CI, DAPY and DP which had negative genetic correlations with it. It is inferred that information on sip performance and other relatives coupled with better husbandry practices would be required to bring desirable improvement in these lactational performance traits.

scholarly journals Estimation of genetic parameters for milk yield in Murrah buffaloes by Bayesian inference

2010 ◽  
Vol 93 (2) ◽  
pp. 784-791 ◽  
Author(s):  
F.C. Breda ◽  
L.G. Albuquerque ◽  
R.F. Euclydes ◽  
A.B. Bignardi ◽  
F. Baldi ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Milk Yield ◽  
Genetic Parameters ◽  
Murrah Buffaloes ◽  
Estimation Of Genetic Parameters

scholarly journals Use of individual race results in the estimation of genetic parameters of trotting performance for Finnhorse and Standardbred trotters

1999 ◽  
Vol 8 (4-5) ◽  
pp. 353-363 ◽  
Author(s):  
T. THUNEBERG-SELONEN ◽  
J. PÖSÖ ◽  
E. MÄNTYSAARI
Keyword(s):  
Animal Model ◽  
Maximum Likelihood ◽  
Variance Components ◽  
Fixed Effects ◽  
Environmental Effect ◽  
Genetic Parameters ◽  
Genetic Effect ◽  
Additive Genetic Effect ◽  
Performance Traits ◽  
Estimation Of Genetic Parameters

The heritability and repeatability for trotting performance traits were estimated from individual race results. Data comprised of records from 1991 to 1995 for 4808 Finnhorses and from 1993 to 1995 for 5869 Standardbred trotters. The statistical model included the additive genetic effect of an animal and two permanent environmental effects, and the fixed effects of sex, age, starting method*starting lane combination, driver and race. The first permanent environmental effect described repeatability over a horse’s career while the second one characterized repeatability within a racing year. Variance components for three trotting performance traits were estimated by the animal model and the method of restricted maximum likelihood (REML). Heritability and repeatability estimates were moderately high for time at finish (h 2 =0.23–0.28 and r=0.50–0.57), moderate for ranking within a race (h 2 =0.12 and r=0.25) and low for earnings (h 2 =0.05–0.09 and r=0.15–0.18). Time at finish seemed to be the most usable measure of trotting performance because of its wide information substance. However, time at finish does not take into account records of disqualified horses or of those which did not finish, but use of earnings, either from individual race results or preferably from annual records, is one possible way to consider records of such horses.;

Prediction of phenotypic value of lifetime performance traits on the basis of early performance traits in Murrah buffaloes

2017 ◽  
Vol 36 (02) ◽  
Author(s):  
Kapil Dev ◽  
S. S. Dhaka ◽  
A. S. Yadav
Keyword(s):  
Milk Yield ◽  
Life Time ◽  
Research Centre ◽  
Direct Selection ◽  
Murrah Buffalo ◽  
Murrah Buffaloes ◽  
Lifetime Performance ◽  
Performance Traits ◽  
Early Performance ◽  
Calving Intervals

In order to achieve the objective, data pertaining to 171 Murrah buffaloes, progeny of 49 sires maintained at Buffalo Research Centre, Hisar were considered for the prediction of lifetime traits from early lactation traits over a period of 24 years from 1990 to 2013. The prediction of phenotypic values of lifetime performance traits viz. Life time milk yield (LTMY), Production life (PL), Milk yield per day of productive life (MY/PL), herd life (HL) and milk yield per day of herd life (MY/HL) were obtained. The equation having the combination of first five lactation traits is recommended for the prediction of phenotypic value of lifetime traits in Murrah buffalo. Accuracy of direct selection for LTMY, PL, MY/PL, HL and MY/HL was 0.42, 0.51, 0.33, 0.51 and 0.54, respectively. The index involving independent variables of first lactation early performance traits had an accuracy of 0.40, 0.39, 0.37, 0.19 and 0.37 for LTMY, PL, MY/PL, HL and MY/HL, respectively. Generally the first lactation milk yield, first peak milk yield and first calving intervals of all lactations contributed maximum to R2 value for all lifetime traits. Therefore, it may be concluded that selection on the basis of first lactation milk yield, first peak yield and first calving interval would also improve the lifetime performance.

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