Relationship of Bull Fertility with Daughter Fertility and Production Traits in Holstein Dairy Cattle

Raheja, K. L.; Nadarajah, Kalaivani K.; Burnside, E. B.

doi:10.3168/jds.s0022-0302(89)79409-1

Cited by 11 publications

(3 citation statements)

References 11 publications

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“…(−0.26), which is in contrast to the positive correlation (0.13-0.29) reported by Raheja et al (1989). Further verification about the biological correlation between male fertility and milk production is needed due to the inconsistent relationships observed.…”

Section: Genetic Correlationsmentioning

confidence: 70%

Genetic and Genomic Analyses of Service Sire Effect on Female Reproductive Traits in Holstein Cattle

et al. 2021

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Fertility and reproductive performance are key drivers of dairy farm profitability. Hence, reproduction traits have been included in a large majority of worldwide dairy cattle selection indexes. The reproductive traits are lowly heritable but can be improved through direct genetic selection. However, most scientific studies and dairy cattle breeding programs have focused solely on the genetic effects of the dam (GED) on reproductive performance and, therefore, ignored the contribution of the service sire in the phenotypic outcomes. This study aimed to investigate the service sire effects on female reproductive traits in Holstein cattle from a genomic perspective. Genetic parameter estimation and genome-wide association studies (GWAS) were performed for the genetic effect of service sire (GESS) on conception rate (CR), 56-day non-return rate (NRR56), calving ease (CE), stillbirth (SB), and gestation length (GL). Our findings indicate that the additive genetic effects of both sire and dam contribute to the phenotypic variance of reproductive traits measured in females (0.0196 vs. 0.0109, 0.0237 vs. 0.0133, 0.0040 vs. 0.0289, 0.0782 vs. 0.0083, and 0.1024 vs. 0.1020 for GESS and GED heritability estimates for CR, NRR56, CE, SB, and GL, respectively), and these two genetic effects are positively correlated for SB (0.1394) and GL (0.7871). Interestingly, the breeding values for GESS on insemination success traits (CR and NRR56) are unfavorably and significantly correlated with some production, health, and type breeding values (ranging from −0.449 to 0.274), while the GESS values on calving traits (CE, SB, and GL) are usually favorably associated with those traits (ranging from −0.493 to 0.313). One hundred sixty-two significant single-nucleotide polymorphisms (SNPs) and their surrounding protein-coding genes were identified as significantly associated with GESS and GED, respectively. Six genes overlapped between GESS and GED for calving traits and 10 genes overlapped between GESS for success traits and calving traits. Our findings indicate the importance of considering the GESS when genetically evaluating the female reproductive traits in Holstein cattle.

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Section: Genetic Correlationsmentioning

confidence: 70%

Genetic and Genomic Analyses of Service Sire Effect on Female Reproductive Traits in Holstein Cattle

et al. 2021

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“…Consequently, depending on the trait definition, different models and methodologies have been implemented to analyze reproductive performance. Raheja et al (1989b) used a mixed linear model to study the relationships between bull fertility with daughter fertility and production traits in Holstein cattle; 3 fertility traits (days from calving to first breeding, days open, and number of AI services per conception) and 3 production traits (breed class average-milk, breed class average-fat, and breed class average-fat %) in the first 2 lactations were used. Breed Class Average (BCA) is an index combining milk, fat, and protein used by all milk recording programs across Canada.…”

Section: Introductionmentioning

confidence: 99%

Genetic Analysis of Male and Female Fertility Using Longitudinal Binary Data

Averill

Rekaya

Weigel

2004

Journal of Dairy Science

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A longitudinal Bayesian threshold analysis of insemination events during the first 250 d after calving of first-parity Holsteins was carried out. The outcome of an insemination event was treated as a binary response of either a success (1) or a failure (0). Thus, all breeding information for a cow, including all service sires, was included, thereby allowing for a joint evaluation of male and female fertility. An edited data set of 297,823 insemination records from 151,758 first lactation cows was used. On the liability scale, the model included the systematic effects of herd-year of insemination, technician, month of insemination, and regressions on age of service sire, 3 test days in the first 100 d of lactation (early milk yield), and days in milk at insemination. The random effects in the model were the additive breeding value, the permanent effect of the cow, and the service sire effect. Posterior mean (standard deviation) of the dispersion parameters in the model were 0.034 (0.006), 0.009 (0.001), and 0.171 (0.013) for the additive, service sire, and permanent environmental variances, respectively. The residual variance was fixed at 1, as a result of the nonidentifiability of the threshold model. The posterior mean (standard deviation) of heritability was 0.028 (0.005). This point estimate of heritability is well within the range of available estimates for the trait. Thus, these estimates suggest that some genetic variation exists that can potentially be used to improve reproductive performance or at least avoid its further deterioration. The estimate of the regression coefficient on age of service sire was 0.001, indicating better fertility among older bulls. However, this result has to be interpreted with caution given the preferential use of proven bulls on well-managed cows (as opposed to problem breeders). The estimate of the regression coefficient was negative (-0.005) for early milk yield, as expected, and positive (0.003) for days in milk at insemination. This suggests that high-producing cows are less likely to conceive at the beginning of lactation.

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“…The estimates of the correlations of sire breeding values with serum vitamin A concentrations and BMS were −0.07, −0.12, −0.10, and −0.44 in stages 1, 2, 3, and 4, respectively. Furthermore, the approximate genetic correlations reported by several authors (Calo et al, 1973;Blanchard et al, 1983;Raheja et al, 1989) were −0.12, −0.21, −0.19, and −1.17 for stages 1, 2, 3, and 4, respectively. These larger negative correlations in stage 4 would confirm the large negative genetic correlation in the present study (Table 6).…”

Section: Variance Component and Heritability Estimatesmentioning

confidence: 53%

Genetic parameters of serum vitamin A and total cholesterol concentrations and the genetic relationships with carcass traits in an F1 cross between Japanese Black sires and Holstein dams

Kato

Ito²,

Hirooka

2011

Journal of Animal Science

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Blood sample and carcass trait data were collected from 841 and 3,219 fattening animals of an F(1) cross between Japanese Black sires and Holstein dams, respectively. Data on serum vitamin A and total cholesterol concentrations containing 582 to 739 records at 4 stages of beef-fattening production were used to estimate variance components and heritabilities for the 2 traits, based on fattening periods: less than 13 mo of age (stage 1), 14 to 18 mo of age (stage 2), 19 to 21 mo of age (stage 3), and greater than 22 mo of age (stage 4). Furthermore, the genetic correlations of serum vitamin A and total cholesterol concentrations with beef marbling standards, carcass weight, ribeye area, rib thickness, and subcutaneous fat thickness were estimated. The heritability estimates of serum vitamin A concentration were consistently and drastically decreased from 0.37 ± 0.15 to 0.07 ± 0.07 from stages 1 to 4 because of considerable decreases in sire variances, whereas the residual variances remained large and stable throughout all 4 stages. Serum total cholesterol concentration was moderately heritable (approximately 0.35 to 0.64) throughout all 4 stages. The genetic correlations among serum vitamin A concentrations and beef marbling standards were high and negative (-0.94) in stage 4. The genetic correlations between serum vitamin A concentration and carcass weight in stages 3 and 4 were moderate and positive (approximately 0.26 to 0.36). Moderate to high positive genetic correlations between serum vitamin A concentration and subcutaneous fat thickness were obtained throughout the stages (approximately 0.40 to 0.75). Genetic correlations of serum total cholesterol concentration with carcass weight and rib thickness were moderate and positive (approximately 0.29 to 0.46) in stages 2, 3, and 4. These results indicate serum vitamin A and total cholesterol concentrations could be effective physiological indicators for improving carcass traits.

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Relationship of Bull Fertility with Daughter Fertility and Production Traits in Holstein Dairy Cattle

Cited by 11 publications

References 11 publications

Genetic and Genomic Analyses of Service Sire Effect on Female Reproductive Traits in Holstein Cattle

Genetic and Genomic Analyses of Service Sire Effect on Female Reproductive Traits in Holstein Cattle

Genetic Analysis of Male and Female Fertility Using Longitudinal Binary Data

Genetic parameters of serum vitamin A and total cholesterol concentrations and the genetic relationships with carcass traits in an F1 cross between Japanese Black sires and Holstein dams

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