کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11010702 | 1806801 | 2019 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Genomic selection for meat quality traits in Nelore cattle
ترجمه فارسی عنوان
انتخاب ژنومی برای صفات کیفیت گوشت در گاو نولور
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کلمات کلیدی
رسوب چربی، ژنومیکس، ترکیب گوشت، حساسیت گوشت،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش تغذیه
چکیده انگلیسی
The objective of this study was to present heritability estimates and accuracy of genomic prediction using different methods for meat quality traits in Nelore cattle. Approximately 5000 animals with phenotypes and genotypes of 412,000 SNPs, were divided into two groups: (1) training population: animals born from 2008 to 2013 and (2) validation population: animals born in 2014. A single-trait animal model was used to estimate heritability and to adjust the phenotype. The methods of GBLUP, Improved Bayesian Lasso and Bayes CÏ were performed to estimate the SNP effects. Accuracy of genomic prediction was calculated using Pearson's correlations between direct genomic values and adjusted phenotypes, divided by the square root of heritability of each trait (0.03-0.19). The accuracies varied from 0.23 to 0.73, with the lowest accuracies estimated for traits associated with fat content and the greatest accuracies observed for traits of meat color and tenderness. There were small differences in genomic prediction accuracy between methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Meat Science - Volume 148, February 2019, Pages 32-37
Journal: Meat Science - Volume 148, February 2019, Pages 32-37
نویسندگان
Ana FabrÃcia Braga Magalhães, Flavio Schramm Schenkel, Diogo Anastácio Garcia, Daniel Gustavo Mansan Gordo, Rafael Lara Tonussi, Rafael Espigolan, Rafael Medeiros de Oliveira Silva, Camila Urbano Braz, Gerardo Alves Fernandes Júnior, Fernando Baldi,