Genotype by environment interactions for body weight in Mediterranean buffaloes using reaction norm models

被引:0
作者
Rodrigues, Fernando B. [1 ]
Malhado, Carlos H. M. [2 ]
Carneiro, Paulo L. S. [2 ]
Ambrosini, Diego P. [2 ]
Rezende, Marcos P. G. [2 ]
Bozzi, Riccardo [3 ]
Song, Jiuzhou [4 ]
机构
[1] Fed Inst Northern Minas Gerais, Montes Claros, MG, Brazil
[2] State Univ Southwest Bahia, Jeguie, BA, Brazil
[3] Univ Firenze, DISPAA, Florence, Italy
[4] Univ Maryland, College Pk, MD 20742 USA
关键词
bayesian inference; breeding value; buffaloes; environment; environmental gradient; genetic evaluation; genotypes; genotype by environment interaction; hierarchical reaction; rank correlations; reaction norm models; POST-WEANING GAIN; PHENOTYPIC PLASTICITY; YEARLING WEIGHT; CATTLE; MURRAH; PARAMETERS; SELECTION;
D O I
10.17533/udea.rccp.v34n2a05
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Background: Buffalo breeding has significantly increased in Brazil over recent years. However, few genetic evaluations have been conducted. Objective: To assess Genotype x Environment Interactions in the Mediterranean Water Buffalo in Brazil, for weight at 205 days of age, using reaction norm models via random regression. Methods: Data for buffaloes born between 1990 and 2014 were collected from five farms ascribed to the Brazilian Buffalos Improvement Program, located in the North (1), Northeast (1), South (2) and Southeast (1) regions of Brazil. The initial database consisted of 5,280 observations at 205 days of age (W205). We assessed fit using two hierarchical reaction norm models: a two-step (HRNM2s) and a one-step (HRNM1s). Model fit was estimated using the Deviance Information Criterion, Deviance Based on Bayes Factors and Deviance based on Conditional Predictive Ordinate. The environmental descriptors were created to group individuals into common production environments based on year, season, herd and sex. Results: The best fit was obtained for the hierarchical reaction norm model with one-step (HRNM1s). Direct heritability estimates for this model ranged from 0.17 to 0.67 and the maternal heritability from 0.02 to 0.11 with increasing environmental gradient. Lower correlations among the sire classifications were obtained in comparison with HRNM1s in environments with low and high management, confirming the presence of genotype x environment interactions. Conclusion: We recommend a wider application of genetic evaluation in buffalo aimed at identifying optimal genotypes within specific environments.
引用
收藏
页码:166 / 176
页数:11
相关论文
共 34 条
[1]   Reaction norms of direct and maternal effects for weight at 205 days in Polled Nellore cattle in north-eastern Brazil [J].
Ambrosini, Diego Pagung ;
Mendes Malhado, Carlos Henrique ;
Braccini Neto, Jose ;
Martins Filho, Raimundo ;
Antunes de Mello Affonso, Paulo Roberto ;
Souza Carneiro, Paulo Luiz .
ARCHIV FUR TIERZUCHT-ARCHIVES OF ANIMAL BREEDING, 2014, 57
[2]   Genotype x environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil [J].
Ambrosini, Diego Pagung ;
Souza Carneiro, Paulo Luiz ;
Neto, Jose Braccini ;
Mendes Malhado, Carlos Henrique ;
Martins Filho, Raimundo ;
Cardoso, Fernando Flores .
PESQUISA AGROPECUARIA BRASILEIRA, 2012, 47 (10) :1489-1495
[3]  
Bastianetto E., 2009, Revista Brasileira de Reproducao Animal, V33, P98
[4]  
Bernardes O., 2007, Revista Brasileira de Reproducao Animal, V31, P293
[5]   Genotype by environment interaction characterization and model comparison for post weaning gain adjustment of Devon cattle via reaction norms [J].
Braganca Correa, Marcela Bicca ;
Laurino Dionello, Nelson Jose ;
Cardoso, Fernando Flores .
REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2009, 38 (08) :1468-1477
[6]   Convergence assessment techniques for Markov chain Monte Carlo [J].
Brooks, SP ;
Roberts, GO .
STATISTICS AND COMPUTING, 1998, 8 (04) :319-335
[7]   Linear reaction norm models for genetic merit prediction of Angus cattle under genotype by environment interaction [J].
Cardoso, F. F. ;
Tempelman, R. J. .
JOURNAL OF ANIMAL SCIENCE, 2012, 90 (07) :2130-2141
[8]  
Cardoso F.F., 2010, APPL BAYESIAN INFERE
[9]   Hierarchical Bayesian models for genotype x environment estimates in post-weaning gain of Hereford bovine via reaction norms [J].
Cardoso, Leandro Lunardini ;
Neto, Jose Braccini ;
Cardoso, Fernando Flores ;
Cobuci, Jaime Arajo ;
Biassus, Igor de Oliveira ;
Jardim Barcellos, Julio Otavio .
REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2011, 40 (02) :294-300
[10]   Selection and phenotypic plasticity in evolutionary biology and animal breeding [J].
de Jong, G ;
Bijma, P .
LIVESTOCK PRODUCTION SCIENCE, 2002, 78 (03) :195-214