Allele substitution effects of IGF1, GH and PIT1 markers on estimated breeding values for weight and reproduction traits in Canchim beef cattle

Abstract

a b s t r a c tThe aim of this study was to evaluate the allele substitution effects of IGF1, GH and PIT1 markers on the estimated breeding values (EBVs) for birth (BW) and weaning weights (WW), weight at 12 (W12) and 18 (W18) months of age, weight (WFC) and age (AFC) at first calving, and scrotal circumference measured at 12 (SC12) and 18 (SC18) months of age in Canchim beef cattle. Maternal effects were considered for birth (BW maternal ) and weaning (WW maternal ) weight. Regression analyses were carried out considering the EBVs, obtained from multi-trait analyses, and the deviations for each allele studied (four alleles for the IGF1 markers and two for GH and PIT1 markers, respectively). According to the results obtained for IGF1, the substitution effect of the "225" allele was significant (Pr 0.05) and presented higher EBVs for BW, BW maternal , WW, W12, W18, and SC18; and lower EBVs for WW maternal . The allele substitution effect observed for GH gene was significant (P r0.05) on EBVs for AFC and WFC. The "Valine" allele was responsible for lower EBVs for AFC and higher EBVs for WFC. For the PIT1 gene, the substitution effect of the "HinfÀ " allele was significant (Pr 0.05) on the EBVs for WW, WW maternal , AFC, and WFC, respectively. Important allele substitution effects were found for weight and reproduction traits in Canchim cattle. In general, markers on the IGF1 gene are related to higher EBVs for weight, while markers on the GH and PIT1 showed greater influence on the EBVs for age and weight at first calving. Adding molecular markers information on the selection process could result in increased genetic gains in Canchim cattle. Future studies using high-density genotyping platforms may contribute to our understanding of the effects of these genes on traits of economic importance in the Canchim breed. (D.P. Munari). Please cite this article as: Grossi, D.d.A., et al., Allele substitution effects of IGF1, GH and PIT1 markers on estimated breeding values for weight and reproduction traits in Canchim beef cattle. Livestock Science (2015), http://dx.

Determination of Diplotypes Associated with Meat Productivity in Cattle Breeds Common in the Territory of the Republic of Kazakhstan

“…According to Daniela do Amaral Grossi et al (2015), the bIGF-1-SnaBI A allele was found to be associated with higher live weight at birth, weaning, 12 and 18 months of age in Canchim beef cattle. A.…”

Short Communication: Association of GH, IGF1R, and PIT1 genes polymorphism with average daily gain and body measurement in Pesisir cattle

“…In the present study, we found that the polymorphisms of GH/AluI, GH/MboII, PIT1/HindfI and IGF1/MspI genes reported in Indonesian native cattle were also observed in the population of Pesisir cattle. The insulin-like growth factor type 1 (IGF1), growth hormone (GH) and pituitary transcription factor (PIT1) are candidate genes for growth and reproduction traits because they participate on the hormonal system with a fundamental role in regulating animal's development (Grossi et al 2015).…”

“…PIT1 gene has been extensively studied in cattle, including Limousine Cattle (Dybus et al 2003), Iranian cattle (Javanmard et al 2005), Brahman cattle (Beauchemin et al 2006), Zebu (Curi et al 2006;Mukesh et al 2008), Canchim Cattle (Carrijo et al 2008;Grossi et al 2015), Podolica cattle , Southern Anatolian red cattle (Oztabak et al 2008 The objectives of the present study were to study (i) the polymorphism of the GH/AluI, GH/MBoII IGF1R/MspI, and PIT/Hinf1, (ii) to determine the frequency of alleles and genotypes for these polymorphisms, and (iii) to estimate the associations between these polymorphisms and average daily gain and body measurement in Pesisir cattle.…”

Quantitative trait loci‐based genomics‐assisted prediction for the degree of apple fruit cover color

“…The joint effect of genotype combinations was estimated by the deviation between the average OPV of the hybrids sharing the same genotype combination and the overall mean phenotype of the training population. Additionally, since some genotypes were observed in relatively low frequencies, to eliminate bias in marker genotype effect estimates, the allele frequency and allele substitution effect (ASE) of each marker were estimated and subsequently the breeding value was calculated based on the ASE value and the allele frequency (Ashraf, Jensen, Asp, & Janss, 2014; Grossi et al., 2015). When any genotype was not observed, the regression analysis was performed using only two pairs of data (Grossi et al., 2015).…”

“…Additionally, since some genotypes were observed in relatively low frequencies, to eliminate bias in marker genotype effect estimates, the allele frequency and allele substitution effect (ASE) of each marker were estimated and subsequently the breeding value was calculated based on the ASE value and the allele frequency (Ashraf, Jensen, Asp, & Janss, 2014; Grossi et al., 2015). When any genotype was not observed, the regression analysis was performed using only two pairs of data (Grossi et al., 2015). The GAP model was re‐adopted by using breeding values or the joint effect of genotype combination of all the markers, and the accuracy was determined by five‐fold and “leave‐one‐family‐out” cross‐validation.…”