Estimation of genetic parameters of semen characteristics and reproductive traits in AI boars

2005 ◽  
Vol 86 (1-2) ◽  
pp. 119-130 ◽  
Author(s):  
J. Smital ◽  
J. Wolf ◽  
L.L. De Sousa
Keyword(s):  
Genetic Parameters ◽  
Reproductive Traits ◽  
Semen Characteristics ◽  
Estimation Of Genetic Parameters

scholarly journals Genetic diversity derived from pedigree information and estimation of genetic parameters for reproductive traits of Limousine and Charolais cattle raised in Italy

2020 ◽  
Vol 19 (1) ◽  
pp. 762-771 ◽  
Author(s):  
Marcos Paulo Gonçalves de Rezende ◽  
Carlos Henrique Mendes Malhado ◽  
Stefano Biffani ◽  
Paulo Luis Souza Carneiro ◽  
Riccardo Bozzi
Keyword(s):  
Genetic Diversity ◽  
Genetic Parameters ◽  
Reproductive Traits ◽  
Pedigree Information ◽  
Charolais Cattle ◽  
Estimation Of Genetic Parameters

SIMULTANEOUS ESTIMATION OF GENETIC PARAMETERS OF LIFETIME REPRODUCTIVE TRAITS IN MICE

1988 ◽  
Vol 68 (4) ◽  
pp. 1291-1295 ◽  
Author(s):  
J. NAGAI ◽  
C. Y. LIN ◽  
A. J. McALLISTER
Keyword(s):  
Genetic Parameters ◽  
Mixed Model ◽  
Reproductive Traits ◽  
Bivariate Analysis ◽  
Simultaneous Estimation ◽  
Mixed Model Analysis ◽  
Reproductive Life ◽  
Genetic And Phenotypic Correlations ◽  
Estimation Of Genetic Parameters ◽  
Selection Of

Heritabilities and correlations between the length of reproductive life and number of parturitions during lifetime in mice were estimated from bivariate full-sib mixed-model analysis. Heritability estimates from sire components were low (0.01) for the two traits and those from dam components were slightly higher (0.06 and 0.05). Estimates of genetic and phenotypic correlations ranged from 0.89 to 0.99. It was concluded that the two traits are virtually the same trait biologically. Implication of these results for selection of lifetime production in mice and dairy cattle is discussed. Key words: Genetic parameters, reproductive trait, bivariate analysis

scholarly journals Estimation of genetic parameters and genetic trends for reproductive traits in Saanen goats

2013 ◽  
Vol 63 (2-3) ◽  
pp. 269-277 ◽  
Author(s):  
A. Kasap ◽  
B. Mioc ◽  
D. Skorput ◽  
Vesna Pavic ◽  
Z. Antunovic
Keyword(s):  
Genetic Parameters ◽  
Reproductive Traits ◽  
Estimation Of Genetic Parameters ◽  
Genetic Trends

Bayesian estimation of genetic parameters of litter size at birth in crossbred Mule ewes using repeatability and multiple trait threshold models

2007 ◽  
Vol 2007 ◽  
pp. 66-66
Author(s):  
W. Mekkawy ◽  
R. Roehe ◽  
R. M. Lewis ◽  
M. H. Davies ◽  
A. M. Van Heelsum ◽  
...  
Keyword(s):  
Litter Size ◽  
Reproductive Performance ◽  
Genetic Parameters ◽  
Reproductive Traits ◽  
Threshold Models ◽  
Multiple Trait ◽  
Repeated Observations ◽  
Improvement Programs ◽  
Size At Birth ◽  
Estimation Of Genetic Parameters

The reproductive performance of ewes is a major factor influencing the economic success of lowland flocks. Even so reproductive traits have not often been included in sheep genetic improvement programs because of their low heritabilities compared with other performance traits like body weight and carcass merit. Litter size is one of the most important traits affecting reproductive performance. There are two important factors to be considered in the genetic analysis of litter size. First, several authors have suggested that litter size in different parities is controlled in part by different genes, and therefore should be treated as different traits. Second, ignoring the categorical nature of litter size and analysing it using a linear model does not account for its non-normal distribution. As a consequence, threshold models are likely to be more appropriate for the analysis of categorical traits (Gianola and Foulley, 1983). Therefore, the objective of the current study was to estimate the genetic parameters for litter size of Mule ewes using both repeatability and a multiple trait threshold models for repeated observations of litter size across four different parities.

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