Literature DB >> 26440159

Genetic principal components for reproductive and productive traits in dual-purpose buffaloes in Colombia.

D A Agudelo-Gómez, R Pelicioni Savegnago, M E Buzanskas, A S Ferraudo, D Prado Munari, M F Cerón-Muñoz.   

Abstract

A multitrait model (MC) and 5 reduced-rank models with principal component structure (components PC, PC, PC, PC, and PC) were compared. The objectives were to determine the most appropriate model for estimating genetic parameters and to evaluate the genetic progress of dual-purpose buffaloes in Colombia using that model. The traits evaluated were weaning weight (WW), yearling weight (W12), weight at 18 mo of age (W18), weight at 2 yr of age (W24), age at first calving (AFC), and milk yield at 270 d of first lactation (MY270). Genealogy and productive information from 34,326 buffaloes born in Colombia between 1997 and 2014 were used. Colombian Association of Buffalo Breeders (ACB) provided the data. Direct additive genetic and residual random effects were included for all the traits. In addition, the maternal additive genetic effect and permanent environmental random effect were included for WW, while a maternal additive genetic effect was included for W12. The fixed effects were contemporary group (farm, year, and calving season: January to April, May to August, or September to December; for all traits) and sex (for WW, W12, W18, and W24). Additionally, parity was included as a fixed effect for WW and W12. Age at weighing was used as a covariate for WW, W12, W18, and W24. Genetic progress of all traits was analyzed using a generalized smooth model (GAM). According to the Akaike information criteria (AIC), the best model was the one with reduced rank and first 3 principal components (PC). This model maintained 100% of the original variance. Genetic parameters estimated with this model were similar to those estimated by MC, but with smaller standard errors. Heritability for weight-related traits ranged between 0.23 and 0.44. Heritabilities for AFC and MY270 were 0.14 and 0.24, respectively. The genetic correlations obtained between all weights (WW, W12, W18, and W24) were positive and high. Correlations between all weights with AFC were negative and moderate. Correlations between all weights with MY270 were positive and moderate, and between MY270 with AFC were negative and low.

Entities:  

Mesh:

Year:  2015        PMID: 26440159     DOI: 10.2527/jas.2015-8940

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  3 in total

1.  Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP.

Authors:  Francisco Ribeiro de Araujo Neto; Daniel Jordan de Abreu Santos; Gerardo Alves Fernandes Júnior; Rusbel Raul Aspilcueta-Borquis; André Vieira do Nascimento; Leonardo de Oliveira Seno; Humberto Tonhati; Henrique Nunes de Oliveira
Journal:  J Appl Genet       Date:  2019-11-01       Impact factor: 3.240

2.  An Integrative Genomic Prediction Approach for Predicting Buffalo Milk Traits by Incorporating Related Cattle QTLs.

Authors:  Xingjie Hao; Aixin Liang; Graham Plastow; Chunyan Zhang; Zhiquan Wang; Jiajia Liu; Angela Salzano; Bianca Gasparrini; Giuseppe Campanile; Shujun Zhang; Liguo Yang
Journal:  Genes (Basel)       Date:  2022-08-11       Impact factor: 4.141

3.  Multivariate analysis of body morphometric traits in conjunction with performance of reproduction and milk traits in crossbred progeny of Murrah × Jafarabadi buffalo (Bubalus bubalis) in North-Eastern Brazil.

Authors:  Breno Araújo de Melo; Alberto de Gusmão Couto; Fabiane de Lima Silva; Kuang Hongyu; Filipe Chagas Teodózio de Araújo; Sybelle Georgia Mesquita da Silva; Raisa Rodrigues Santos Rios; Micheline Thais Dos Santos; Angelina Bossi Fraga
Journal:  PLoS One       Date:  2020-04-21       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.