Genetic and phenotypic parameter estimates for reproduction traits in the Boer dam

2009 ◽  
Vol 125 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Chun-Yan Zhang ◽  
Shi-Lin Chen ◽  
Xiang Li ◽  
De-Qing Xu ◽  
Ying Zhang ◽  
...  
2011 ◽  
Vol 44 (5) ◽  
pp. 1007-1015 ◽  
Author(s):  
Tesfaye Kebede ◽  
Aynalem Haile ◽  
Hailu Dadi ◽  
Tesfaye Alemu

1987 ◽  
Vol 28 (5) ◽  
pp. 547-555 ◽  
Author(s):  
T.A. Gipson ◽  
D.W. Vogt ◽  
M.R. Ellersieck ◽  
J.W. Massey

2011 ◽  
Vol 89 (11) ◽  
pp. 3452-3459 ◽  
Author(s):  
K. M. Rolfe ◽  
W. M. Snelling ◽  
M. K. Nielsen ◽  
H. C. Freetly ◽  
C. L. Ferrell ◽  
...  

2016 ◽  
Vol 10 (1) ◽  
pp. 18-29 ◽  
Author(s):  
Guilherme da Silva Pereira ◽  
Larissa Di Cassia Laperuta ◽  
Endson Santana Nunes ◽  
Lourdes Chavarría ◽  
Maria Marta Pastina ◽  
...  

2007 ◽  
Vol 2007 ◽  
pp. 69-69
Author(s):  
E.D. Ilatsia ◽  
T. K. Muasya ◽  
W. B. Muhuyi ◽  
A. K. Kahi

The primary emphasis of the long-term Sahiwal cattle breeding programme is to increase milk yield by selecting cows based on their performance in first three lactations. It is therefore important to have knowledge on the extend of additive genetic variance and genetic parameters for these traits. Genetic and phenotypic parameter estimates normally apply directly to the specific population and environment from which the data were collected. In the Sahiwal cattle in Kenya, very little is known about the genetic variation of milk production traits and their genetic relationships. Furthermore, genetic and phenotypic parameter estimates for the Sahiwal cattle based on multivariate animal model are scarce. This paper presents estimates of variance components and genetic parameters for milk production traits using trivariate animal model.


1992 ◽  
Vol 35 (3) ◽  
pp. 287-298 ◽  
Author(s):  
D. F. Waldron ◽  
J. N. Clarke ◽  
A. L. Rae ◽  
A. H. Kirton ◽  
G. L. Bennett

2000 ◽  
Vol 2000 ◽  
pp. 40-40
Author(s):  
A.D. Hall ◽  
P.R. Bampton ◽  
A.J. Webb

Many traits that are of interest to breeders, such as food intake, are expressed continuously during the life of an animal and the individual's phenotype will change with age. Traditional genetic analysis of these traits has treated as them as discrete traits, ignoring the correlations among records at different ages. Recently methods have been developed to overcome this deficiency and allow an infinite dimensional approach, which can provide more accurate estimates of genetic and phenotypic parameters (Kirkpatrick et al. 1994, Meyer and Hill 1997). The aim of this study was to investigate the effect of stage of growth on the genetic and phenotypic parameter estimates of daily food intake.


1994 ◽  
Vol 45 (2) ◽  
pp. 427 ◽  
Author(s):  
LD Brash ◽  
NM Fogarty ◽  
AR Gilmour

Reproductive performance of ewes in a large Dorset stud flock is reported. The data included 2488 ewes with 10016 joining records over 25 years. Average performance for reproductive traits were: fertility 92%, litter size 1.31, neonatal lamb survival 91%, lamb survival to weaning 85%, with overall lambs born 1.20 and lambs weaned 1.02 per ewe joined. Differences between breeds (Poll Dorset and Dorset Horn), season of birth (spring and autumn) and season of joining (spring and autumn) were significant for most reproduction traits. Linear and quadratic regressions for age of ewe at joining were highly significant for all traits (P < 0.001) with maximum performance between three and six years of age. Estimates of heritability for ewe reproductive traits were: 0.062 � 0-02 for number of lambs born and 0.04 � 0.01 for number of lambs weaned per ewe joined, and component traits, 0.02 �0 -01 for fertility, 0 08 � 0 -02 for litter size and 0.00 � 0.01 for lamb survival. Estimates of repeatability were less than 0.14 for all the reproduction traits, which resulted in substantially higher predicted heritabilities when repeated records were used. Heritability estimates for average ewe lifetime performance, with approximately four records, were 0.08 � 0 06 for lambs born, 0.12 � 0.05 for lambs weaned, 0.08 � 0.04 for fertility, 0.l9 � 0 -04 for litter size and zero for lamb survival. The genetic correlations between litter size and lambs born and weaned were close to unity, whereas those for fertility were lower and declined from lambs born (0.6l � 0.22) to lambs weaned (0-45 � 0.30). The estimated heritability for ewe longevity, defined as the number of years the ewe remained in the breeding flock, was 0.00 � 0.03. The potential for genetic improvement in reproductive rate is discussed in relation to other reports in the literature and in the context of the roles of the Dorset breed in the Australian lamb industry. Increased reproductive rate in Dorset flocks impacts on stud profitability and the rate of genetic improvement from selection for other traits such as liveweight. The parameter estimates derived will be used in compiling breed-specific parameter sets for genetic evaluation in LAMBPLAN.


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