Appropriate selection indices for functional traits in dairy cattle breeding schemes.


Journal

The Journal of dairy research
ISSN: 1469-7629
Titre abrégé: J Dairy Res
Pays: England
ID NLM: 2985125R

Informations de publication

Date de publication:
Feb 2019
Historique:
pubmed: 7 12 2018
medline: 16 4 2019
entrez: 7 12 2018
Statut: ppublish

Résumé

The objective of this study was to establish different single or multiple trait selection indices to calculate genetic and economic gains by combining some production, reproduction and udder health traits in a population similar to the overall practical situation in Iran, with and without imposing restrictions on genetic change for some traits. The SelAction software was used to perform the analyses based on selection index theory through a deterministic model. Results indicated that among established indices, the index that showed the highest genetic gain for milk yield did not maximize the total genetic and economic gains. Rather, the index that included all production, reproduction and udder health traits yielded the highest genetic and economic gains. When we placed restriction on the selection indices, the economic gain decreased and the amount of reduction depended on the heritability and the correlation of restricted trait(s) with other traits. Generally, regarding the economic genetic gain per generation, the indices based on records of 200 offspring were 4.819% more efficient than those that used information of 100 offspring.

Identifiants

pubmed: 30520398
pii: S0022029918000821
doi: 10.1017/S0022029918000821
doi:

Substances chimiques

Fats 0
Milk Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

13-18

Auteurs

Arash Chegini (A)

Department of Animal Science,Faculty of Agricultural Sciences,University of Guilan,P.O.Box:41635-1314, Rasht,Iran.

Navid Ghavi Hossein-Zadeh (N)

Department of Animal Science,Faculty of Agricultural Sciences,University of Guilan,P.O.Box:41635-1314, Rasht,Iran.

Seyed Hossein Hosseini Moghaddam (SH)

Department of Animal Science,Faculty of Agricultural Sciences,University of Guilan,P.O.Box:41635-1314, Rasht,Iran.

Abdol Ahad Shadparvar (AA)

Department of Animal Science,Faculty of Agricultural Sciences,University of Guilan,P.O.Box:41635-1314, Rasht,Iran.

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Classifications MeSH