Linear Models for the Prediction of Animal Breeding Values

(3)
Linear Models for the Prediction of Animal Breeding Values image
ISBN-10:

0851989969

ISBN-13:

9780851989969

Edition: 1
Released: Mar 01, 1996
Publisher: CABI
Format: Hardcover, 208 pages

Description:

Best Linear Unbiased Prediction (BLUP) has become the most widely accepted method for genetic evaluation of domestic livestock. Since its introduction, the method has evolved; and despite this, there is no simple text on the application of linear models to the prediction of breeding values. This book has been written with a good balance of theory and application to fill this gap. Equations for partitioning breeding values into contributions from various sources of information are derived under the various models. Recent developments in the analysis of longitudinal data with random regression models and the inclusion of genetic marker information in the evaluation of animals have been incorporated. Overall the book has been thoroughly updated since the first edition was published in 1996.

Best prices to buy, sell, or rent ISBN 9780851989969




Related Books

Frequently Asked Questions about Linear Models for the Prediction of Animal Breeding Values

You can buy the Linear Models for the Prediction of Animal Breeding Values book at one of 20+ online bookstores with BookScouter, the website that helps find the best deal across the web. Currently, the best offer comes from and is $ for the .

The price for the book starts from $22.65 on Amazon and is available from 4 sellers at the moment.

If you’re interested in selling back the Linear Models for the Prediction of Animal Breeding Values book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.

As for the Linear Models for the Prediction of Animal Breeding Values book, the best buyback offer comes from and is $ for the book in good condition.

Not enough insights yet.

Not enough insights yet.