Xu Z.-Q.,South China Agricultural University |
Chen J.,South China Agricultural University |
Zhang Y.,Wens Nanfang Poultry Breeding Co. |
Ji C.-L.,Wens Nanfang Poultry Breeding Co. |
And 2 more authors.
Journal of Integrative Agriculture | Year: 2014
Marker assisted selection (MAS) for residual feed intake (RFI) is considered to be one of the powerful means to improve feed conversion efficiency, and therefore reduce production costs. To test the inner relationship among body compositions, growth traits and RFI, four models were proposed to assess the extensively explanatory variables accounting for partial variables in feed intake besides metabolic body weight and growth rate. As a result, the original model (Koch's model) had the lowest R2 (80.78%) and the highest Bayesian information criterion (1 323.3) value among the four models. Moreover, the effects on RFI caused by single nucleotide polymorphisms (SNPs) were assessed in this study. Twelve SNPs from 7 candidate genes were genotyped in 2 Chinese native strains. rs14743490 of RPLP2 gene showed suggestively significant association with initial body weight in both strains (P<0.10). rs15047274 of TAF15 was significantly associated with growth weight, final weight, and feed intake (P<0.05) in N301 strain, in contrast, it was only suggestively significant associated with feed intake (P<0.10) in N414 strain. rs15869967 was significantly associated with RFI in N414 strain but not in N301 strain. This study has identified potential genetic markers suitable for MAS in improving the above mentioned traits, but these associations need to be rectified in other larger populations in future. © 2014 Chinese Academy of Agricultural Sciences. Source
Zhang D.X.,South China Agricultural University |
Zhang D.X.,Wens Nanfang Poultry Breeding Co. |
Xu Z.Q.,South China Agricultural University |
He J.,Wens Nanfang Poultry Breeding Co. |
And 3 more authors.
Journal of Animal Science | Year: 2015
Somatotropic axis–related genes contribute to reproduction of ducks. Five SNP in the 5′-flanking regions of the growth hormone (GH), prolactin (PRL), and pituitary-specific transcription factor (Pit-1) genes were identified and genotyped in a female population of Muscovy ducks. Association analysis of these SNP with Muscovy duck egg production traits was performed. Results showed that SNP C-515G of GH was significantly associated with egg number in ducks at age 59 wk (E59W; P = 0.0009) and egg number in ducks at age 300 d (E300D; P = 0.0022). Single nucleotide polymorphism C-441T of GH was significantly associated with E59W (P = 0.0014). Significant associations of SNP T-884C and T-335C of PRL with the age at first egg (A1D), E59W, and E300D were detected in this population (P < 0.0001). It was concluded that these 4 SNP might be useful markers to use with the aim of increasing Muscovy duck E59W. On the basis of genetic parameter estimation, the heritability of A1D, E300D, E59W, and molting time were 0.43 ± 0.04, 0.45 ± 0.04, 0.36 ± 0.04, and 0.04 ± 0.03, respectively. Strong positive genetic correlation was noted between E59W and E300D (correlation coefficient = 0.80), whereas a negative association was noted between E59W and A1D (correlation coefficient = –0.80). Therefore, the selection for improved A1D should also increase E59W. © 2015 American Society of Animal Science. All rights reserved. Source