4.5 Article

Quantitative trait loci for production traits in pigs: a combined analysis of two Meishan x Large White populations

期刊

ANIMAL GENETICS
卷 39, 期 5, 页码 486-495

出版社

WILEY-BLACKWELL
DOI: 10.1111/j.1365-2052.2008.01756.x

关键词

fat; growth rate; mapping; QTL; swine

资金

  1. PIC (UK)
  2. Gottingen University (Germany)
  3. Jiangxi Agricultural University (China)
  4. BBSRC
  5. Defra
  6. British Pig Breeding Consortium
  7. BBSRC [BBS/E/R/00001604, BBS/E/D/05191132] Funding Source: UKRI
  8. Biotechnology and Biological Sciences Research Council [BBS/E/R/00001604, BBS/E/D/05191132] Funding Source: researchfish

向作者/读者索取更多资源

Combined analysis of data from two or more resource populations can improve the power and accuracy of QTL mapping and allow some cross-validation of results. In this study, we performed a genome-wide scan using combined data from two F(2) populations derived from a cross between Large White and Chinese Meishan pigs. A total of 739 pigs were included in the analysis. In total 187 markers were genotyped in the two populations, including 115 markers genotyped in both populations, and these markers covered 2282 cM of the pig genome with an average of 13.58 cM between markers. Seven traits (teat number, birth weight, weaning weight, test-end weight, fat depth at shoulder, fat depth at mid back and fat depth at loin) were analysed for both individual populations and the combined population. There were 9 (2, 10), 1 (4, 4) and 14 (5, 18) QTL that achieved 1% genome-wide, 5% genome-wide and suggestive significance levels respectively in population 1 (population 2, combined population). Additive effects of QTL detected in the two populations at all significance levels were largely consistent suggesting that the QTL represent real genetic effects, but this was not the case for dominance or imprinting effects. There were also a number of significant interactions between detected QTL effects and population.

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