Acta Veterinaria et Zootechnica Sinica ›› 2020, Vol. 51 ›› Issue (9): 2089-2097.doi: 10.11843/j.issn.0366-6964.2020.09.006

• ANIMAL GENETICS AND BREEDING • Previous Articles     Next Articles

Comparative Analysis of Different Implementation Strategies on Genomic Selection in Large White Pigs

DONG Linsong1,2, TAN Cheng1, CAI Gengyuan1,2, WU Zhenfang1,2*   

  1. 1. WENS Foodstuff Group Co., Ltd., Xinxing 527400, China;
    2. National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
  • Received:2020-03-07 Online:2020-09-25 Published:2020-09-25

Abstract: At present, genomic selection (GS) has been applied in pigs breeding, but some implementation strategies, such as the determination of genotyping ratios or early selection rates for piglets, are required to obtain a higher benefit using this technology. The Large White pigs born from 2011 to 2016 at WENS Foodstuff Group Co.,Ltd were chose as the research objects, including more than 45 000 growth measurement records, more than 70 000 reproduction records and 2 090 individuals with genotyping-by-sequencing (GBS) data. The 440 individuals born from July to December in 2016 were used as the candidate individuals. The traits included two growth traits, age at 100 kg and backfat thickness at 100 kg, and one reproduction trait, number of total born. To compare the prediction effects, four prediction scenarios were designed according to including or ignoring the phenotypic or genotypic information of candidate individuals when predicting their breeding values. The predictive reliability of different scenarios and rankings of selection indices of individuals would be compared. The results showed that the results using the phenotypic and genotypic information was more reliable than ignoring them to predict the breeding values of candidate individuals. When genomic selection indices were calculated before and after performances testing for the growth traits, the individuals ranking in the top 30% of indices after testing were all found in the individuals ranking in the top 60% of indices before testing. If the piglets with the top 60% of traditional BLUP indices were only selected, around 15% of individuals with good genetic potentials would be omitted. This study suggests that all healthy piglets after birth are genotyped and their genomic selection indices are calculated, and then the individuals ranking in the top 60% of indices are chose to perform growth measurement.

Key words: genomic selection, predictive reliability, breeding strategy, breeding pigs

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