Selecting sequence variants to improve genomic predictions for dairy cattle
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Influence of epistasis on response to genomic selection using complete sequence data.Incorporation of causative quantitative trait nucleotides in single-step GBLUP.Meta-analysis of sequence-based association studies across three cattle breeds reveals 25 QTL for fat and protein percentages in milk at nucleotide resolution.Weighted single-step genomic BLUP improves accuracy of genomic breeding values for protein content in French dairy goats: a quantitative trait influenced by a major gene.
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Selecting sequence variants to improve genomic predictions for dairy cattle
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 07 March 2017
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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Selecting sequence variants to improve genomic predictions for dairy cattle
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Selecting sequence variants to improve genomic predictions for dairy cattle.
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Selecting sequence variants to improve genomic predictions for dairy cattle
@en
Selecting sequence variants to improve genomic predictions for dairy cattle.
@nl
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Selecting sequence variants to improve genomic predictions for dairy cattle
@en
Selecting sequence variants to improve genomic predictions for dairy cattle.
@nl
P2093
P2860
P1476
Selecting sequence variants to improve genomic predictions for dairy cattle
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Jeffrey R O'Connell
Melvin E Tooker
Paul M VanRaden
P2860
P2888
P356
10.1186/S12711-017-0307-4
P577
2017-03-07T00:00:00Z
P6179
1084249885