Variance Components
Relevance of Additive and Nonadditive Genetic Relatedness for Genomic Prediction in Rice Population under Recurrent Selection Breeding
Authors: Odilon P. Morais J�ºnior, Jo�£o Batista Duarte, Fl�¡vio Breseghello, Alexandre S. G. Coelho, Tereza C. O. Borba, Jordene T. Aguiar, P�©ricles C. F. Neves, and Orlando P. Morais
In genomic recurrent selection programs of self-pollinated crops, additive genetic effects (breeding values) are effectively relevant for selection of superior progenies as new parents. However, considering additive and nonadditive genetic effects can improve the prediction of genome-enhanced breeding values (GEBV) of progenie.. Read More»
- Genet. Mol. Res. 16(4):
- gmr16039849
- DOI:
- 10.4238/gmr16039849
Influence of animals obtained using embryo transfer on the genetic evaluation of growth in Simmental beef cattle with random regression models
Authors: R.R. Mota, P.S. Lopes, L.F.A. Marques, L.P. Silva,M. Concei�§�£o Pessoa, R. Almeida Torres, M.D.V. Resende
Weight records of Simmental beef cattle were used in a genetic evaluation of growth with and without embryo transfer (ET). A random regression model in which ET individuals were excluded (RRM1) contained 29,510 records from 10,659 animals, while another model that did not exclude these animals (RRM2) contained 62,895 records f.. Read More»
- Genet. Mol. Res. 12(4):
- 2013.November.22.17
- DOI:
- 10.4238/2013.November.22.17
Genetic parameters for growth traits of a Brazilian Bos taurus x Bos indicus beef composite
Authors: Mourao GB, Ferraz JBS, Eler JP, Balieiro JCC, Bueno RS, Mattos EC and Figueiredo LGG
The genetic analysis of composite data is very complicated, mainly because it is necessary to adjust data to the effects of heterosis and breed complementarity, and because there is usually considerable confounding of these data with several other effects, such as contemporary group effects, breed composition of the animal and.. Read More»
- Genet. Mol. Res. 6(4):
Genetic evaluation using multi-trait and random regression models in Simmental beef cattle
Authors: R.R. Mota, L.F.A. Marques, P.S. Lopes, L.P. da Silva, F.R.A. Neto, M.D.V. de Resende and R.A. Torres
The Brazilian Association of Simmental and Simbrasil Cattle Farmers provided 29,510 records from 10,659 Simmental beef cattle; these were used to estimate (co)variance components and genetic parameters for weights in the growth trajectory, based on multi-trait (MTM) and random regression models (RRM). The (co)variance components and genetic parameters wer.. Read More»
- Genet. Mol. Res. 12(3):
- 2013.July.24.2
- DOI:
- 10.4238/2013.July.24.2
Effect of inclusion or non-inclusion of short lactations and cow and/or dam genetic group on genetic evaluation of Girolando dairy cattle
Authors: A.W. Canaza-Cayo, M.V.G.B. Silva, J.A. Cobuci, M.F. Martins and P.S. Lopes
The objective of this study was to evaluate the effects of inclusion or non-inclusion of short lactations and cow (CGG) and/or dam (DGG) genetic group on the genetic evaluation of 305-day milk yield (MY305), age at first calving (AFC), and first calving interval (FCI) of Girolando cows. Covariance components were estimated by .. Read More»
- Genet. Mol. Res. 15(2):
- gmr.15027768
- DOI:
- 10.4238/gmr.15027768