Luiz Peternelli

Genetic Covariances of Relatives

A Matrix Algebra Approach

• Broschiertes Buch

Produktbeschreibung

In a word of competition and increasing necessity for finding or developing more productive organisms, Genetics and Plant Breeding contributes importantly, analyzing and exploring their genetic variability. Mainly in Plant Breeding, mating designs are useful to estimate genetic variability of some population. In this sense breeders and geneticists might aim at some point to obtain covariance of relatives. However, depending on the complexity of a particular mating design, or a combination of them, some difficulties to identify this genetic covariance may occur. On this matter many results are available from the literature on Quantitative Genetics. However, their derivation may be, sometimes, cumbersome. The present work shows how to construct an algorithm, using simple matrix algebra, to obtain covariance of relatives, that could be implemented in any software that allow for matrix algebra calculation. Besides, it brings an extensive revision about important topics in quantitative genetics and the use of the method detailed on a practical problem.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 136
• Erscheinungstermin: 13. September 2010
• Englisch
• Abmessung: 220mm x 150mm x 9mm
• Gewicht: 221g
• ISBN-13: 9783838322889
• ISBN-10: 3838322886
• Artikelnr.: 27988433

Autorenporträt

Luiz A. Peternelli, PhD: Agronomist. MSc in Genetics and Plant Breeding at the Federal University of Viçosa, UFV, Brazil. Ph.D. in Statistics and Plant Breeding at Iowa State University, USA. Post-doctorate at Michigan State University, USA, in the area of advanced statistical methods applied to plant breeding. Currently a professor at UFV.