Results 11 to 20 of about 104,971 (293)

Genomic Selection in Cereal Breeding

open access: yesAgronomy, 2019
Genomic Selection (GS) is a method in plant breeding to predict the genetic value of untested lines based on genome-wide marker data. The method has been widely explored with simulated data and also in real plant breeding programs.
Charlotte D. Robertsen   +2 more
doaj   +3 more sources

Reliabilities of genomic estimated breeding values in Danish Jersey

open access: yesAnimal, 2012
In order to optimize the use of genomic selection in breeding plans, it is essential to have reliable estimates of the genomic breeding values. This study investigated reliabilities of direct genomic values (DGVs) in the Jersey population estimated by three different methods. The validation methods were (i) fivefold cross-validation and (ii) validation
Thomasen, J R   +4 more
openaire   +9 more sources

Efficient Breeding by Genomic Mating

open access: yesFrontiers in Genetics, 2016
Selection in breeding programs can be done by using phenotypes (phenotypic selection), pedigree relationship (breeding value selection) or molecular markers (marker assisted selection or genomic selection).
Deniz Akdemir, Julio Isidro Sanchez
doaj   +3 more sources

Preliminary investigation on reliability of genomic estimated breeding values in the Danish Holstein population

open access: yesJournal of Dairy Science, 2010
This study investigated the reliability of genomic estimated breeding values (GEBV) in the Danish Holstein population. The data in the analysis included 3,330 bulls with both published conventional EBV and single nucleotide polymorphism (SNP) markers. After data editing, 38,134 SNP markers were available.
Su, G   +3 more
openaire   +4 more sources

Genomic prediction and quantitative trait locus discovery in a cassava training population constructed from multiple breeding stages [PDF]

open access: yes, 2020
Open Access Article; Published online: 11 Dec 2019Assembly of a training population (TP) is an important component of effective genomic selection‐based breeding programs.
Egesi, C.   +11 more
core   +1 more source

Genomic Selection in Sugarcane: Current Status and Future Prospects

open access: yesFrontiers in Plant Science, 2021
Sugarcane is a C4 and agro-industry-based crop with a high potential for biomass production. It serves as raw material for the production of sugar, ethanol, and electricity.
Channappa Mahadevaiah   +9 more
doaj   +1 more source

EM algorithm for Bayesian estimation of genomic breeding values [PDF]

open access: yesBMC Genetics, 2010
In genomic selection, a model for prediction of genome-wide breeding value (GBV) is constructed by estimating a large number of SNP effects that are included in a model. Two Bayesian methods based on MCMC algorithm, Bayesian shrinkage regression (BSR) method and stochastic search variable selection (SSVS) method, (which are called BayesA and BayesB ...
Iwata Hiroyoshi, Hayashi Takeshi
openaire   +3 more sources

Genetic architecture of fresh-market tomato yield

open access: yesBMC Plant Biology, 2023
Background The fresh-market tomato (Solanum lycopersicum) is bred for direct consumption and is selected for a high yield of large fruits. To understand the genetic variations (distinct types of DNA sequence polymorphism) that influence the yield, we ...
Prashant Bhandari   +2 more
doaj   +1 more source

Dominance and G×E interaction effects improvegenomic prediction and genetic gain inintermediate wheatgrass (Thinopyrumintermedium) [PDF]

open access: yes, 2020
Genomic selection (GS) based recurrent selection methods were developed to accelerate the domestication of intermediate wheatgrass [IWG, Thinopyrum intermedium (Host) Barkworth & D.R. Dewey].
Bajgain P.   +14 more
core   +1 more source

Using the Pareto principle in genome-wide breeding value estimation [PDF]

open access: yesGenetics Selection Evolution, 2011
Genome-wide breeding value (GWEBV) estimation methods can be classified based on the prior distribution assumptions of marker effects. Genome-wide BLUP methods assume a normal prior distribution for all markers with a constant variance, and are computationally fast.
Yu Xijiang, Meuwissen Theo HE
openaire   +3 more sources

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