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[Bayesian methods for genomic breeding value estimation].

Yi chuan = Hereditas, 2014
Estimation of genomic breeding values is the key step in genomic selection. The successful application of genomic selection depends on the accuracy of genomic estimated breeding values, which is mostly determined by the estimation method. Bayes-type and BLUP-type methods are the two main methods which have been widely studied and used.
Chonglong, Wang, Xiangdong, Ding, Jianfeng, Liu, Zongjun, Yin, Qin, Zhang   +4 more
openaire   +3 more sources

Comparative study of estimation methods for genomic breeding values

Science Bulletin, 2016
Estimation of genomic breeding values is important in genomic selection. Bayesian and BLUP methods are the main techniques employed. In this study, we conducted a comparative study of BayesA, BayesB, BayesCπ and GBLUP methods in simulated data and real data of Chinese Holstein cattle.
Chonglong Wang, Qin Zhang, Li Jiang, Rong Qian, Xiangdong Ding, Yaofeng Zhao   +5 more
openaire   +1 more source

Shrinkage estimation of the genomic relationship matrix can improve genomic estimated breeding values in the training set

Theoretical and Applied Genetics, 2015
We evaluated several methods for computing shrinkage estimates of the genomic relationship matrix and demonstrated their potential to enhance the reliability of genomic estimated breeding values of training set individuals. In genomic prediction in plant breeding, the training set constitutes a large fraction of the total number of genotypes assayed ...
Dominik, Müller, Frank, Technow, Albrecht E, Melchinger   +2 more
openaire   +2 more sources

Increase in accuracy using multi-trait genomic breeding value estimation

Advances in Animal Biosciences, 2010
Introduction Genomic selection is becoming common practice in animal breeding. It uses genome-wide dense marker maps, to accurately predict the genetic ability of animals, without the need to record phenotypic performance from the animal itself or from close relatives.
MPL Calus, RF Veerkamp
openaire   +1 more source

Genomic Best Linear Unbiased Prediction (gBLUP) for the Estimation of Genomic Breeding Values

2013
Genomic best linear unbiased prediction (gBLUP) is a method that utilizes genomic relationships to estimate the genetic merit of an individual. For this purpose, a genomic relationship matrix is used, estimated from DNA marker information. The matrix defines the covariance between individuals based on observed similarity at the genomic level, rather ...
Samuel A, Clark, Julius, van der Werf
openaire   +2 more sources

Practical Workflow from High-Throughput Genotyping to Genomic Estimated Breeding Values (GEBVs)

2020
The global climate is changing, resulting in significant economic losses worldwide. It is thus necessary to speed up the plant selection process, especially for complex traits such as biotic and abiotic stresses. Nowadays, genomic selection (GS) is paving new ways to boost plant breeding, facilitating the rapid selection of superior genotypes based on ...
Felice, Contaldi, Elisa, Cappetta, Salvatore, Esposito   +2 more
openaire   +2 more sources

Genomic data and breeding value estimation in dairy cattle: theory, practice, problems

Journal of Animal Breeding and Genetics, 2016
2016
Strandén, Ismo, Mäntysaari, Esa
openaire   +2 more sources

Estimation of genomic breeding values for residual feed intake in a multi-breed cattle population

Journal of animal science, 2014
Residual feed intake (RFI) is a measure of the efficiency of animals in feed utilization. The accuracies of GEBV for RFI could be improved by increasing the size of the reference population. Combining RFI records of different breeds is a way to do that.
M, Khansefid, J E, Pryce, S, Bolormaa, S P, Miller, Z, Wang, C, Li, M E, Goddard   +6 more
openaire   +2 more sources