Scientific Papers Animal Science and Biotechnologies (Oct 2023)

Genetic parameters in a Swine Population

  • Dana Popa,
  • Razvan Popa,
  • Cristina Diaconescu,
  • Carmen Nicolae,
  • Livia Vidu,
  • Marius Maftei,
  • Nicoleta Isfan

Journal volume & issue
Vol. 43, no. 1
pp. 215 – 215

Abstract

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The estimation of the variance-covariance components is a very important step in animal breeding because these components are necessary for: estimation of the genetic parameters, prediction of the breeding value and design of animal breeding programs. The estimation of genetic parameters is the first step in the development of a swine breeding program, using artificial insemination. Various procedures exist for estimation of heritability. There are three major procedures used for estimating heritability: analysis of variance (ANOVA), parents-offspring regression and restricted maximum likelihood (REML). By using ANOVA methodology or regression method it is possible to obtain aberrant values of genetic parameters (negative or over unit value of heritability coefficient, for example) which can not be interpreting because is out of biological limits. genetic parameters is the first step in the development of a sThe estimation of the variance-covariance components is a very important step in animal breeding because these components are necessary for: estimation of the genetic parameters, prediction of the breeding value and design of animal breeding programs. The estimation of genetic parameters is the first step in the development of a swine breeding program, using artificial insemination. Various procedures exist for estimation of heritability. There are three major procedures used for estimating heritability: analysis of variance (ANOVA), parents-offspring regression and restricted maximum likelihood (REML). By using ANOVA methodology or regression method it is possible to obtain aberrant values of genetic parameters (negative or over unit value of heritability coefficient, for example) which can not be interpreting because is out of biological limits. ical limits.

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