11
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genotype by environment interaction for 450-day weight of Nelore cattle analyzed by reaction norm models

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Genotype by environment interactions (GEI) have attracted increasing attention in tropical breeding programs because of the variety of production systems involved. In this work, we assessed GEI in 450-day adjusted weight (W450) Nelore cattle from 366 Brazilian herds by comparing traditional univariate single-environment model analysis (UM) and random regression first order reaction norm models for six environmental variables: standard deviations of herd-year (RRMw) and herd-year-season-management (RRMw-m) groups for mean W450, standard deviations of herd-year (RRMg) and herd-year-season-management (RRMg-m) groups adjusted for 365-450 days weight gain (G450) averages, and two iterative algorithms using herd-year-season-management group solution estimates from a first RRMw-m and RRMg-m analysis (RRMITw-m and RRMITg-m, respectively). The RRM results showed similar tendencies in the variance components and heritability estimates along environmental gradient. Some of the variation among RRM estimates may have been related to the precision of the predictor and to correlations between environmental variables and the likely components of the weight trait. GEI, which was assessed by estimating the genetic correlation surfaces, had values < 0.5 between extreme environments in all models. Regression analyses showed that the correlation between the expected progeny differences for UM and the corresponding differences estimated by RRM was higher in intermediate and favorable environments than in unfavorable environments (p < 0.0001).

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: not found

          Estimating covariance functions for longitudinal data using a random regression model

          (To access the full article, please see PDF)
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Selection in different environments: effects on environmental sensitivity (reaction norm) and on mean performance

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              From the Reaktionsnorm to the Adaptive Norm: The Norm of Reaction, 1909–1960

                Bookmark

                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                gmb
                Genetics and Molecular Biology
                Genet. Mol. Biol.
                Sociedade Brasileira de Genética (Ribeirão Preto )
                1678-4685
                2009
                : 32
                : 2
                : 281-287
                Affiliations
                [1 ] Universidade de São Paulo Brazil
                [2 ] Universidade Estadual Paulista Brazil
                [3 ] Universidade Estadual Paulista Brazil
                Article
                S1415-47572009000200013
                8f956271-34e3-4f97-a3c4-fd1cbf4ee73d

                http://creativecommons.org/licenses/by/4.0/

                History
                Product

                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=1415-4757&lng=en
                Categories
                BIOCHEMISTRY & MOLECULAR BIOLOGY
                GENETICS & HEREDITY

                Molecular biology,Genetics
                growth,genotype by environment interaction,plasticity,random regression,robustness

                Comments

                Comment on this article