Results 281 to 290 of about 48,815 (295)

Genomic Selection in Plant Breeding: Methods, Models, and Perspectives

Trends in Plant Science, 2017
JOSÉ Crossa, Paulino Pérez-Rodríguez, Jaime Cuevas   +2 more
exaly  

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

Journal of Animal Science, 2014
M. Khansefid, J. E. Pryce, S. Bolormaa, S. P. Miller, Z. Wang, C. Li, M. E. Goddard   +6 more
openaire   +1 more source

Contribution of domestic production records, Interbull estimated breeding values, and single nucleotide polymorphism genetic markers to the single-step genomic evaluation of milk production

Journal of Dairy Science, 2013
Luboš Vostrý, Ludmila Zavadilová
exaly  

Comparison of genomic and traditional BLUP‐estimated breeding value accuracy and selection response under alternative trait and genomic parameters

Journal of Animal Breeding and Genetics, 2007
W M Muir
exaly  

The effect of genomic information on optimal contribution selection in livestock breeding programs

Genetics Selection Evolution, 2013
Julius H J Van Der Werf, Clark Samuel A, Hickey John M   +2 more
exaly  

Breeding schemes for the implementation of genomic selection in wheat ( Triticum spp . )

Plant Science, 2016
Filippo M Bassi, Alison R Bentley, Gilles Charmet   +2 more
exaly  

KIWIFRUIT BREEDING: FROM THE PHENOTYPIC ANALYSIS OF PARENTS TO THE GENOMIC ESTIMATION OF THEIR BREEDING VALUE (GEBV)

Acta Horticulturae, 2011
openaire   +1 more source

Genomic Selection in Plant Breeding

Methods in Molecular Biology, 2014
Mark A Newell, Jean-Luc Jannink, Jannink Jean-Luc   +2 more
exaly  

Genomic selection across multiple breeding cycles in applied bread wheat breeding

Theoretical and Applied Genetics, 2016
Sebastian Michel, Christian Ametz, Huseyin Güngör   +2 more
exaly  

Genome selection for predicting the estimated breeding value of Canadian Holstein cattle

The objective of this study is to identify a subset of SNPs from a genome-wide dense panel of SNPs to predict the estimated breeding values (EBVs) of bulls. This requires selecting variables from a high-dimensional variable space (thousands of SNPs) with a much smaller sample size (hundreds of available animals).
openaire   +1 more source