Advances in Statistical Methods for Genetic Improvement of Livestock
| Author | : Daniel Gianola |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 554 |
| Release | : 2012-12-06 |
| ISBN-10 | : 9783642744877 |
| ISBN-13 | : 3642744877 |
| Rating | : 4/5 (877 Downloads) |
Download or read book Advances in Statistical Methods for Genetic Improvement of Livestock written by Daniel Gianola and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in statistics and computing as well as their application to genetic improvement of livestock gained momentum over the last 20 years. This text reviews and consolidates the statistical foundations of animal breeding. This text will prove useful as a reference source to animal breeders, quantitative geneticists and statisticians working in these areas. It will also serve as a text in graduate courses in animal breeding methodology with prerequisite courses in linear models, statistical inference and quantitative genetics.
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