Principal component analysis of breeding values for growth and reproductive traits and genetic association with adult size in beef cattle1

2016 ◽  
Vol 94 (12) ◽  
pp. 5014-5022 ◽  
Author(s):  
A. A. Boligon ◽  
I. S. Vicente ◽  
R. Z. Vaz ◽  
G. S. Campos ◽  
F. R. P. Souza ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Genetic Association ◽  
Principal Component ◽  
Reproductive Traits ◽  
Component Analysis ◽  
Adult Size ◽  
Breeding Values

scholarly journals Using eigenvalues as variance priors in the prediction of genomic breeding values by principal component analysis

2010 ◽  
Vol 93 (6) ◽  
pp. 2765-2774 ◽  
Author(s):  
N.P.P. Macciotta ◽  
G. Gaspa ◽  
R. Steri ◽  
E.L. Nicolazzi ◽  
C. Dimauro ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Genomic Breeding ◽  
Breeding Values

Unravelling biological biotypes for growth, visual score and reproductive traits in Nellore cattle via principal component analysis

2018 ◽  
Vol 217 ◽  
pp. 37-43 ◽  
Author(s):  
Giovana Vargas ◽  
Flavio Schramm Schenkel ◽  
Luiz Fernando Brito ◽  
Haroldo Henrique de Rezende Neves ◽  
Danísio Prado Munari ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Reproductive Traits ◽  
Component Analysis ◽  
Visual Score ◽  
Nellore Cattle

scholarly journals Genetic parameters, genetic trends, and principal component analysis for productive and reproductive traits of Guzera beef cattle

2019 ◽  
Vol 48 ◽  
Author(s):  
Nicole Colucci Tramonte ◽  
Natalia Vinhal Grupioni ◽  
Nedenia Bonvino Stafuzza ◽  
Diego Gomes Freire Guidolin ◽  
Rodrigo Pelicioni Savegnago ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Beef Cattle ◽  
Genetic Parameters ◽  
Principal Component ◽  
Reproductive Traits ◽  
Component Analysis ◽  
Genetic Trends

Genetic parameter estimates and principal component analysis of breeding values of reproduction and growth traits in female Canchim cattle

2013 ◽  
Vol 25 (5) ◽  
pp. 775 ◽  
Author(s):  
M. E. Buzanskas ◽  
R. P. Savegnago ◽  
D. A. Grossi ◽  
G. C. Venturini ◽  
S. A. Queiroz ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Mixed Model ◽  
Growth Traits ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Principal Component ◽  
Component Analysis ◽  
Parameter Estimates ◽  
Breeding Values ◽  
Heritability Estimates

Phenotypic data from female Canchim beef cattle were used to obtain estimates of genetic parameters for reproduction and growth traits using a linear animal mixed model. In addition, relationships among animal estimated breeding values (EBVs) for these traits were explored using principal component analysis. The traits studied in female Canchim cattle were age at first calving (AFC), age at second calving (ASC), calving interval (CI), and bodyweight at 420 days of age (BW420). The heritability estimates for AFC, ASC, CI and BW420 were 0.03 ± 0.01, 0.07 ± 0.01, 0.06 ± 0.02, and 0.24 ± 0.02, respectively. The genetic correlations for AFC with ASC, AFC with CI, AFC with BW420, ASC with CI, ASC with BW420, and CI with BW420 were 0.87 ± 0.07, 0.23 ± 0.02, –0.15 ± 0.01, 0.67 ± 0.13, –0.07 ± 0.13, and 0.02 ± 0.14, respectively. Standardised EBVs for AFC, ASC and CI exhibited a high association with the first principal component, whereas the standardised EBV for BW420 was closely associated with the second principal component. The heritability estimates for AFC, ASC and CI suggest that these traits would respond slowly to selection. However, selection response could be enhanced by constructing selection indices based on the principal components.

scholarly journals Principal Component Analysis (PCA) of the reproductive traits in the Large White sows

2019 ◽  
Vol 102 (2) ◽  
pp. 75-81 ◽  
Author(s):  
S. Kramarenko ◽  
◽  
A. Kramarenko ◽  
S. Lugovoy ◽  
A. Lykhach ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Reproductive Traits ◽  
Component Analysis ◽  
Large White

Genetic association test based on principal component analysis

2017 ◽  
Vol 16 (3) ◽  
Author(s):  
Zhongxue Chen ◽  
Shizhong Han ◽  
Kai Wang
Keyword(s):  
Principal Component Analysis ◽  
Genetic Association ◽  
Rare Variants ◽  
Association Studies ◽  
Principal Component ◽  
Real Data ◽  
Component Analysis ◽  
Association Test ◽  
Simulation Studies ◽  
Special Case

AbstractMany gene- and pathway-based association tests have been proposed in the literature. Among them, the SKAT is widely used, especially for rare variants association studies. In this paper, we investigate the connection between SKAT and a principal component analysis. This investigation leads to a procedure that encompasses SKAT as a special case. Through simulation studies and real data applications, we compare the proposed method with some existing tests.

Principal component analysis of breeding values for growth, reproductive and visual score traits of Nellore cattle

2020 ◽  
Vol 241 ◽  
pp. 104262
Author(s):  
Alexandra Fabielle Pereira Viana ◽  
Paulo Roberto Nogara Rorato ◽  
Fernanda Cristina Breda Mello ◽  
Diego Soares Machado ◽  
Andriele Medianeira Figueiredo ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Breeding Values ◽  
Visual Score ◽  
Nellore Cattle
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