Genetic parameters and trends for calving interval in the first three lactations of Iranian Holsteins

Hossein-Zadeh, Navid Ghavi

doi:10.1007/s11250-011-9809-1

Cited by 13 publications

(7 citation statements)

References 24 publications

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“…The estimated additive, permanent environmental effect, and residual variances in multiparous cows were 198.3 (67.8), 71.4 (100.4), and 2953.7 (103.15), respectively. The heritability estimates for the length of the CI in primi-and multiparous cows were 0.05 (0.01) and 0.06 (0.01), respectively, which are consistent with findings from other studies on dairy cattle [17,[30][31][32][33]. Generally, the large unexplained residual variation observed for the length of the CI is attributable not only to the large effect of the environmental factors on this trait but also to the low quality of the data [34].…”

Section: Variance Components and Accuracy Of Genomic Predictionssupporting

confidence: 88%

A Genome-Wide Association Study for Calving Interval in Holstein Dairy Cows Using Weighted Single-Step Genomic BLUP Approach

Atashi

Salavati

Koster

et al. 2020

Animals

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Simple Summary: Reproductive performance is an important factor, which determines productive life and drives culling decisions in dairy herds. There are strong motives for including reproductive performance in genetic selection programs of dairy cows; however, low heritability estimates reported for reproductive performance measures limit the genetic selection efficiency. More effective genetic selection could be achieved using genomic information. The aim of this study was to identify genomic region(s) associated with the length of the calving interval in Holstein cows. The accuracies of genomic estimated breeding values (GEBVs) with single-step genomic BLUP (ssGBLUP) and the pedigree-based BLUP were compared as well. The results showed that the accuracies of GEBVs using the single-step genomic BLUP were much higher than those estimated using the pedigree-based BLUP. We identified three genomic regions (BTA3, BTA6, and BTA7) associated with the length of the calving interval in Holstein dairy cows. Abstract:The aim of the present study was to identify genomic region(s) associated with the length of the calving interval in primiparous (n = 6866) and multiparous (n = 5071) Holstein cows. The single nucleotide polymorphism (SNP) solutions were estimated using a weighted single-step genomic best linear unbiased prediction (WssGBLUP) approach and imputed high-density panel (777 k) genotypes. The effects of markers and the genomic estimated breeding values (GEBV) of the animals were obtained by five iterations of WssGBLUP. The results showed that the accuracies of GEBVs with WssGBLUP improved by +5.4 to +5.7, (primiparous cows) and +9.4 to +9.7 (multiparous cows) percent points over accuracies from the pedigree-based BLUP. The most accurate genomic evaluation was provided at the second iteration of WssGBLUP, which was used to identify associated genomic regions using a windows-based GWAS procedure. The proportion of additive genetic variance explained by windows of 50 consecutive SNPs (with an average of 165 Kb) was calculated and the region(s) that accounted for equal to or more than 0.20% of the total additive genetic variance were used to search for candidate genes. Three windows of 50 consecutive SNPs (BTA3, BTA6, and BTA7) were identified to be associated with the length of the calving interval in primi-and multiparous cows, while the window with the highest percentage of explained genetic variance was located on BTA3 position 49.42 to 49.52 Mb. There were five genes including ARHGAP29, SEC24D, METTL14, SLC36A2, and SLC36A3 inside the windows associated with the length of the calving interval. The biological

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Section: Variance Components and Accuracy Of Genomic Predictionssupporting

confidence: 88%

A Genome-Wide Association Study for Calving Interval in Holstein Dairy Cows Using Weighted Single-Step Genomic BLUP Approach

Atashi

Salavati

Koster

et al. 2020

Animals

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“…Medium to high heritability estimates for A and B parameters imply that much of the improvement on these parameters could be attained by genetic selection. The low estimate of heritability for K implies that much of the improvement on this growth curve parameter could be obtained by improving associated environmental conditions rather than genetic selection [ 17 , 18 ]. It is important to note that the variation range of HPDs of the direct heritabilities is located at the region greater than zero.…”

Section: Resultsmentioning

confidence: 99%

Estimation of genetic relationships between growth curve parameters in Guilan sheep

Hossein-Zadeh

2015

J Anim Sci Technol

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The objective of this study was to estimate variance components and genetic parameters for growth curve parameters in Guilan sheep. Studied traits were parameters of Brody growth model which included A (asymptotic mature weight), B (initial animal weight) and K (maturation rate). The data set and pedigree information used in this study were obtained from the Agricultural Organization of Guilan province (Rasht, Iran) and comprised 8647 growth curve records of lambs from birth to 240 days of age during 1994 to 2014. Marginal posterior distributions of parameters and variance components were estimated using TM program. The Gibbs sampler was run 300000 rounds and the first 60000 rounds were discarded as a burn-in period. Posterior mean estimates of direct heritabilities for A, B and K were 0.39, 0.23 and 0.039, respectively. Estimates of direct genetic correlation between growth curve parameters were 0.57, 0.03 and −0.01 between A-B, A-K and B-K, respectively. Estimates of direct genetic trends for A, B and K were positive and their corresponding values were 0.014 ± 0.003 (P < 0.001), 0.0012 ± 0.0009 (P > 0.05) and 0.000002 ± 0.0001 (P > 0.05), respectively. Residual correlations between growth curve parameters varied form −0.52 (between A-K) to 0.48 (between A-B). Also, phenotypic correlations between growth curve parameters varied form −0.49 (between A-K) to 0.47 (between A-B). The results of this study indicated that improvement of growth curve parameters of Guilan sheep seems feasible in selection programs. It is worthwhile to develop a selection strategy to obtain an appropriate shape of growth curve through changing genetically the parameters of growth model.

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“…The Interbull guidelines (Interbull, 2001) stated that an animal model is better than a sire model and a multiple-trait model is better than a single-trait model. Genetic parameters have been estimated for dystocia (Abdullahpour et al, 2006;Eghbalsaied et al, 2012), productive (Ghavi Hossein-Zadeh, 2011) and reproductive traits (Toghiani-Pozveh, 2009;Ghavi Hossein-Zadeh and Ardalan, 2010;Ghavi Hossein-Zadeh, 2011;Ghiasi et al, 2011) in Iranian Holstein cows. Nevertheless, the estimates of genetic correlations between dystocia and performance traits were scarce in the literature.…”

Section: Introductionmentioning

confidence: 99%

Genetic evaluation of dystocia and its relationship with productive and reproductive traits in Holstein cows

Salimi

Hossein-Zadeh

Shadparvar

et al. 2017

Rev Colomb Cienc Pecu

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Evaluación genética de distocia y su relación con las características productivas y reproductivas en vacas HolsteinAvaliação genética de distocia e sua relação com características produtivas e reprodutivas em vacas da raça Holandesa Abstract:Background: dystocia is one of the most economically significant secondary traits in dairy cows and has adverse effects on the subsequent survival, health, and performance of mothers and offspring. Objective: the aim of this study was to estimate direct and maternal genetic parameters for calving ease (CE) and its relationship with productive and reproductive traits in Iranian Holstein cows. Methods: data from 1991 through 2011 were collected from the Animal Breeding Center of Iran, and contained 132,831 records of CE, 183,203 records of productive traits including 305-d adjusted milk yield (MY305), 305-d adjusted fat yield (FY305) and 305-d adjusted protein yield (PY305), and 129,199 records of reproductive traits including days open (DO), days to first service (DFS) and calving interval (CI). Univariate and bivariate linear animal models were used for the analysis of traits in two different models on which direct genetic effect (model 1) and direct + maternal genetic effects (model 2) using AI-REML algorithm were included. Results: estimated heritabilities for CE in model 1 were 0.02 in univariate and 0.02-0.03 in bivariate analyses. Direct and maternal heritabilities in model 2 were 0.02 and 0.002 for univariate, and 0.03 and 0.0004-0.006 in bivariate analyses, respectively. Genetic correlations between direct effects of CE with MY305, FY305, and PY305 were -0.99, 0.02 and -0.07 in model 1, and -0.2, -0.02 and -0.13 in model 2, respectively. Conclusion: this study suggested that a selection index that includes both direct and maternal effects should be included in CE breeding programs.

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Genetic parameters and trends for calving interval in the first three lactations of Iranian Holsteins

Cited by 13 publications

References 24 publications

A Genome-Wide Association Study for Calving Interval in Holstein Dairy Cows Using Weighted Single-Step Genomic BLUP Approach

A Genome-Wide Association Study for Calving Interval in Holstein Dairy Cows Using Weighted Single-Step Genomic BLUP Approach

Estimation of genetic relationships between growth curve parameters in Guilan sheep

Genetic evaluation of dystocia and its relationship with productive and reproductive traits in Holstein cows

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