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Download Selection Index and Introduction to Mixed Model Methods eBook

by L. Dale Van Vleck

Download Selection Index and Introduction to Mixed Model Methods eBook
ISBN:
0849387620
Author:
L. Dale Van Vleck
Category:
Biological Sciences
Language:
English
Publisher:
CRC Press; 1 edition (August 3, 1993)
Pages:
512 pages
EPUB book:
1933 kb
FB2 book:
1774 kb
DJVU:
1159 kb
Other formats
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Rating:
4.4
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865


The similarity between selection index and mixed model methods is demonstrated with simple examples.

The similarity between selection index and mixed model methods is demonstrated with simple examples. The third part of the book introduces basic methods used to estimate genetic parameters such as heritabilities, repeatabilities, and genetic correlations needed for both selection index and mixed model methods.

by L. Dale Van Vleck. The principles covered in Selection Index and Introduction to Mixed Model Methods are developed using easy-to-follow rules for expected values and definitions of variances and covariances

by L. The principles covered in Selection Index and Introduction to Mixed Model Methods are developed using easy-to-follow rules for expected values and definitions of variances and covariances. The principles are reenforced with practice problems and exams. Indexes in retrospect as well as restricted indexes are developed.

The third part of the book introduces basic methods used to estimate genetic parameters .

The third part of the book introduces basic methods used to estimate genetic parameters such as heritabilities, repeatabilities, and genetic correlations needed for both selection index and mixed model methods. oceedings{, title {Selection Index and Introduction to Mixed Model Methods}, author {L. Dale Van Vleck}, year {1993} }. L.

Van Vleck, L. Dale (Lloyd Dale) 1933-. Van Vleck, L. Dale ; 1933-. Lookup the document at: Selection index and introduction to mixed model methods. Selection indexes (Animal breeding). Bibliographic information.

Selection index and introduction to mixed model methods. CRC Press, In. Florida. Vandepitte, W. and L. N. Hazel, 1977.

A common chapter plan facilitates tuition and comprises an introduction (in which the general approach and methods are described) followed by a series of carefully structured scenarios that have been selected to highlight particular aspects of evolutionary modeling.

Selection indexes (Animal breeding), Statistical methods. There's no description for this book yet.

Selection index and introduction to mixed model methods Close. 1 2 3 4 5. Want to Read. Are you sure you want to remove Selection index and introduction to mixed model methods from your list? Selection index and introduction to mixed model methods. by L. Published 1993 by CRC Press in Boca Raton. Selection indexes (Animal breeding), Statistical methods. Lloyd Dale Van Vleck. Introduction to quantitative genetics. The Choleski decomposition L(v) of the variance-covariance matrix V L(v)L(v), can be used for simulation of genetic values for a population of animals with known numerator and dominance relationship matrices, A and D. If the variances of additive and dominance genetic effects are σ2(a) and σ2(d) and v(a) and v(d). A multivariate animal model and multi-generational data from a two-stage selection shrimp breeding program were used to estimate genetic parameters for a genetic nucleus of Penaeus (Litopenaeus) vannamei.

Methods for quantitatively determining lengthwise shrinkage in wood products. Selection Index and introduction to mixed model methods. US Patent Application 10814767. CRC Press, Boca Raton.

The principles covered in Selection Index and Introduction to Mixed Model Methods are developed using easy-to-follow rules for expected values and definitions of variances and covariances. The principles are reenforced with practice problems and exams. Indexes in retrospect as well as restricted indexes are developed. Selection for embedded traits such as maternal, grandmaternal, or paternal effects and for categorically measured traits are discussed. The introduction to mixed models applies expected values to create rules to set up least squares and mixed model equations. The similarity between selection index and mixed model methods is demonstrated with simple examples. The third part of the book introduces basic methods used to estimate genetic parameters such as heritabilities, repeatabilities, and genetic correlations needed for both selection index and mixed model methods. This is an excellent text for advanced undergraduates, graduate students, and researchers who use selection index methods.