Using Selection Indices to Improve Lactation Curve Parameters in Egypt

Lieferzeit: Lieferbar innerhalb 14 Tagen

67,90 

ISBN: 3659839876
ISBN 13: 9783659839870
Autor: Amin, Amin
Verlag: Scholars‘ Press
Umfang: 136 S.
Erscheinungsdatum: 16.07.2016
Auflage: 1/2016
Format: 0.9 x 22 x 15
Gewicht: 221 g
Produktform: Kartoniert
Einband: Kartoniert

Beschreibung

- The buffalo's number in Egypt is estimated to by 3.9 million. - They are one of the main dairy animals in Egypt; their contribution to the countrys milk production is nearly 45.5 % (FAOSTAT, 2013). - Aims: - Investigating genetic improvement possibilities for TD milk yield traits and their lactation curve parameters. - Determining genetic and phenotypic trends for TD milk, fat and protein yields applying a Random Regression Model. - Generating a S.I. for milk production and persistency using eigenvalue and eigenvector indices derived from Random Regression Model. - Results: - Genetic selection for curve parameters (initial, persistency and maximum milk yield) would improve total milk yield traits especially persistency. - Both of the first and the second eigenvalues explained 96% of the variation in improving milk yield and persistency. - Selection based on the second individual eigenvector index is expected to better improve the persistency. - If the breeding goal is to improve persistency and milk yield, then using the 2nd eigenvector index (I*2) with a relative economic value of 1:25 is recommended.

Autorenporträt

Amin Mohamed Said Amin;Specialization: Animal Breeding and Genetic, History of Education: 2016 - PhD degree in Animal Breeding. 2007 - Master degree in Buffalo Biodiversity. Current Position: Researcher, Buffalo Breeding Research Department, Animal Production Research Institute, Egypt.

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