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Advancing rust resistance in elite wheat with haplotype mapping and a novel introgression strategy. [PDF]

open access: yesJ Exp Bot
Yadav S   +8 more
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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   +2 more
exaly   +3 more sources

Genomic Selection—Considerations for Successful Implementation in Wheat Breeding Programs

open access: yesAgronomy, 2019
In order to meet the goal of doubling wheat yield by 2050, breeders must work to improve breeding program efficiency while also implementing new and improved technologies in order to increase genetic gain. Genomic selection (GS) is an expansion of marker
Dylan L Larkin, Dennis N Lozada
exaly   +2 more sources

[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   +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   +5 more
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

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