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|b .M77 2005
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|a TEC
|x 003020
|2 bisacsh
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|a 636.08/2/015195
|2 22
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|a UAMI
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100 |
1 |
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|a Mrode, R. A.
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245 |
1 |
0 |
|a Linear models for the prediction of animal breeding values /
|c R.A. Mrode ; with a chapter contributed by R. Thompson.
|
250 |
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|a 2nd ed.
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260 |
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|a Wallingford, UK ;
|a Cambridge, MA :
|b CABI Pub.,
|c ©2005.
|
300 |
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|a 1 online resource (xiii, 344 pages) :
|b illustrations
|
336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
|
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|a online resource
|b cr
|2 rdacarrier
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347 |
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|a data file
|
490 |
1 |
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|a CAB books
|
504 |
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|a Includes bibliographical references (pages 333-340) and index.
|
505 |
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|a Preface; 1 Genetic Evaluation with Different Sources of Records; 2 Genetic Covariance Between Relatives; 3 Best Linear Unbiased Prediction of Breeding Value: Univariate Models with One Random Effect; 4 Best Linear Unbiased Prediction of Breeding Value: Models with Random Environmental Effects; 5 Best Linear Unbiased Prediction of Breeding Value: Multivariate Models; 6 Maternal Trait Models: Animal and Reduced Animal Models; 7 Analysis of Longitudinal Data; 8 Use of Genetic Markers in Prediction of Breeding Values; 9 Non-additive Animal Models.
|
520 |
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|a 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 predictions 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 m.
|
588 |
0 |
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|a Print version record.
|
546 |
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|a English.
|
590 |
|
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
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0 |
|a Livestock
|x Breeding
|x Mathematical models.
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650 |
|
0 |
|a Livestock
|x Breeding
|x Statistical methods.
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650 |
|
0 |
|a Livestock
|x Genetics
|x Mathematical models.
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650 |
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0 |
|a Livestock
|x Genetics
|x Statistical methods.
|
650 |
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2 |
|a Animals, Domestic
|x genetics
|
650 |
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4 |
|a Animal Sciences.
|
650 |
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4 |
|a Agriculture.
|
650 |
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4 |
|a Earth & Environmental Sciences.
|
650 |
|
6 |
|a Bétail
|x Génétique
|x Modèles mathématiques.
|
650 |
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6 |
|a Bétail
|x Génétique
|x Méthodes statistiques.
|
650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Agriculture
|x Animal Husbandry.
|2 bisacsh
|
650 |
|
7 |
|a Alleles.
|2 cabt
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650 |
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7 |
|a Animal breeding.
|2 cabt
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650 |
|
7 |
|a Animal models.
|2 cabt
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7 |
|a Best Linear Unbiased Prediction.
|2 cabt
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7 |
|a Breeding value.
|2 cabt
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|a Calculation.
|2 cabt
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|
7 |
|a Categorical traits.
|2 cabt
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|a Data analysis.
|2 cabt
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650 |
|
7 |
|a Domestic animals.
|2 cabt
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650 |
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7 |
|a Environmental factors.
|2 cabt
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650 |
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7 |
|a Estimation.
|2 cabt
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650 |
|
7 |
|a Genetic analysis.
|2 cabt
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650 |
|
7 |
|a Genetic covariance.
|2 cabt
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650 |
|
7 |
|a Genetic effects.
|2 cabt
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650 |
|
7 |
|a Genetic markers.
|2 cabt
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650 |
|
7 |
|a Genetic parameters.
|2 cabt
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650 |
|
7 |
|a Inbreeding.
|2 cabt
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650 |
|
7 |
|a Kinship.
|2 cabt
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650 |
|
7 |
|a Linear models.
|2 cabt
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650 |
|
7 |
|a Livestock.
|2 cabt
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650 |
|
7 |
|a Mathematical models.
|2 cabt
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650 |
|
7 |
|a Multivariate analysis.
|2 cabt
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650 |
|
7 |
|a Prediction.
|2 cabt
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650 |
|
7 |
|a Quantitative traits.
|2 cabt
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650 |
|
7 |
|a Record keeping.
|2 cabt
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650 |
|
7 |
|a Records.
|2 cabt
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650 |
|
7 |
|a Threshold models.
|2 cabt
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650 |
|
7 |
|a Livestock
|x Breeding
|x Mathematical models
|2 fast
|
650 |
|
7 |
|a Livestock
|x Breeding
|x Statistical methods
|2 fast
|
650 |
|
7 |
|a Livestock
|x Genetics
|x Statistical methods
|2 fast
|
700 |
1 |
|
|a Thompson, R.
|
758 |
|
|
|i has work:
|a Linear models for the prediction of animal breeding values (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFKf9yV8HyvF9cwVV8rbbd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Mrode, R.A.
|t Linear models for the prediction of animal breeding values.
|b 2nd ed.
|d Wallingford, UK ; Cambridge, MA : CABI Pub., ©2005
|w (DLC) 2004021196
|
830 |
|
0 |
|a CAB books.
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=289168
|z Texto completo
|
880 |
3 |
|
|6 520-00/(S
|a This second edition presents the use of linear models, particularly Best Linear Unbiased Prediction (BLUP), for the genetic evaluation of domestic livestock. The 13 chapters discuss genetic evaluation with different sources of records, genetic covariance between relatives, BLUP of breeding value using univariate models with one random effect, BLUP of breeding value using models with random environmental effects, BLUP of breeding value using multivariate models, maternal trait models, analysis of longitudinal data, the use of genetic markers in predicting breeding values, non-additive animal models, analysis of ordered categorical traits, estimation of genetic parameters, the application of Gibbs sampling in variance component estimation and prediction of breeding value and solving linear equations. Appendices with additional information on introductory matrix algebra, fast algorithms for calculating inbreeding, methods for obtaining approximate reliability for genetic evaluations, procedure for computing de-regressed breeding values, calculating the φ matrix of legendre polynomials at different ages or time periods and computing the covariance matrix of additive genetic effect of marked quantitative trait loci (MQTL) are also included. This book will be of interest to advanced students and practitioners of animal breeding and genetics.
|
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