Genetic correlations among female fertility, 305-day milk yield and persistency during the first three lactations of Japanese Holstein cows

Yamazaki, Takeshi; Hagiya, Koichi; Takeda, H.; Yamaguchi, Shoichiro; Osawa, Takefumi; Nagamine, Yoshitaka

doi:10.1016/j.livsci.2014.08.005

Cited by 35 publications

(39 citation statements)

References 27 publications

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“…Running bivariate analyses they found heritability estimates of 0.08±0.02 and 0.05±0.01 for DFI and FIC, respectively. Yamazaki et al (2014) analyzed the reproductive traits of Japanese Holstein cows using a multiple-trait linear model and found heritability values for DO of 0.07 ± 0.01 for the first lactation, 0.06 ± 0.01 for the second lactation, and 0.12 ± 0.01 for the third lactation. Our study indicates that CI had the highest heritability estimate among the interval traits 0.047 ± 0.013 and therefore has the potential to be included in genetic improvement programs.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, dairy cattle breeding programs have focused on milk production traits for a long time. Numerous authors have reported antagonistic genetic relationships between reproductive traits and milk yield traits (Wall et al, 2003;Windig et al, 2006;Abe et al, 2009;Albarràn-Portillo and Pollot, 2013;Yamazaki et al, 2014). For these reasons, the selection programs are often confronted with the challenge of maintaining satisfactory reproductive performances and high levels of milk production (Weigel and Rekaya, 2000).…”

Section: Introductionmentioning

confidence: 99%

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Genetic parameters of reproductive traits in Tunisian Holsteins

et al. 2016

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Abstract. Multi-trait Bayesian procedure was used to estimate genetic parameters for reproductive traits in Tunisian Holstein cows. A total of 31 348 lactations of the calving years 2005 to 2012 were analyzed. Fertility traits were the calving interval (CI), days open (DO), days to first insemination (DFI), days from first insemination to conception (FIC), and number of inseminations per conception (NI). Posterior means of heritabilities of CI, DO, DFI, FIC, and NI were 0.047, 0.03, 0.025, 0.024, and 0.069, respectively. Posterior means of repeatabilities of the same respective traits were 0.106, 0.094, 0.051, 0.036, and 0.17. Genetic correlations among female fertility traits were also computed. Calving interval and DO had the highest genetic correlation estimate (0.85) because they have overlapping genetic meanings. The lowest genetic correlation estimate ( − 0.25) was found between DFI and NI. Genetic parameter estimates are low and are even lower than those reported in most literature, implying that more focus should be put upon improving the management of reproduction in dairy cattle herds in Tunisia.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genetic parameters of reproductive traits in Tunisian Holsteins

et al. 2016

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“…The genetic correlations between persistency and reproductive traits were confirmed by Yamazaki et al (2014a). Therefore, when seeking to increase milk yield or persistency, indicators of female fertility have to be included in the genetic evaluation to reduce undesirable side effects on fertility in cows.…”

Section: Introductionmentioning

confidence: 92%

Genetic relationship of lactation persistency with milk yield, somatic cell score, reproductive traits, and longevity in Slovak Holstein cattle

2016

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Abstract. The objective of this study was to estimate the breeding values (BVs) of lactation persistency, the test day of milk yield, the somatic cell score, reproductive traits (calving interval, days open), longevity in Slovak Holstein dairy cattle. BVs were used for the detection of relationships among the persistency of lactation and other selected traits. Data for the estimation of BVs of milk production and somatic cell score were collected from 855 240 cows. BVs for reproductive traits were estimated for 352 712 cows and for longevity for 528 362 cows. The highest correlations were confirmed between the BV of persistency and the BV of test day milk yield at 100, 200, and 305 days ( − 0.88, −0.65, and −0.61). Correlations between the BV of lactation persistency and the BV of somatic cell score at day 305 or the BV of somatic cell score persistency were favorable: −0.05 and −0.12, respectively. The relationship between the BV of persistency and the BV of the calving interval or the BV of days open was 0.11 and 0.10 respectively. The selection for the persistency of lactation may not improve longevity because there is no relation between the BV of persistency and the BV of longevity (r g = 0.06).

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“…We set the solutions of DO151 to 180 as the base value, because the average DOs in our current results (Table 1) and those of Yamazaki et al (2014) were~150 days. The empirical standard errors, which were defined as the standard deviation of estimates from several samples, for each predicted values were calculated by using the solutions of 10 divided subsets (Suzuki and Van Vleck, 1994).…”

Section: Modelsmentioning

confidence: 99%

“…The predictions for the DO61 to 90 class from the DO model were slightly lower than that from the DP model. These differences reflect the antagonistic genetic relationship between milk production and fertility in cows Yamazaki et al, 2014) or the management practice of letting the milk yield decrease for drying off. In summary, the results from the DO model might reflect a complex interaction among lactation, pregnancy stage, milk production ability and management practices.…”

Section: Effect Of Stage Of Pregnancy On Dairy Milk Yieldmentioning

confidence: 99%

Effects of stage of pregnancy on variance components, daily milk yields and 305-day milk yield in Holstein cows, as estimated by using a test-day model

Yamazaki

Hagiya

Takeda

et al. 2016

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Pregnancy and calving are elements indispensable for dairy production, but the daily milk yield of cows decline as pregnancy progresses, especially during the late stages. Therefore, the effect of stage of pregnancy on daily milk yield must be clarified to accurately estimate the breeding values and lifetime productivity of cows. To improve the genetic evaluation model for daily milk yield and determine the effect of the timing of pregnancy on productivity, we used a test-day model to assess the effects of stage of pregnancy on variance component estimates, daily milk yields and 305-day milk yield during the first three lactations of Holstein cows. Data were 10 646 333 test-day records for the first lactation; 8 222 661 records for the second; and 5 513 039 records for the third. The data were analyzed within each lactation by using three single-trait random regression animal models: one model that did not account for the stage of pregnancy effect and two models that did. The effect of stage of pregnancy on test-day milk yield was included in the model by applying a regression on days pregnant or fitting a separate lactation curve for each days open (days from calving to pregnancy) class (eight levels). Stage of pregnancy did not affect the heritability estimates of daily milk yield, although the additive genetic and permanent environmental variances in late lactation were decreased by accounting for the stage of pregnancy effect. The effects of days pregnant on daily milk yield during late lactation were larger in the second and third lactations than in the first lactation. The rates of reduction of the 305-day milk yield of cows that conceived fewer than 90 days after the second or third calving were significantly ( P < 0.05) greater than that after the first calving. Therefore, we conclude that differences between the negative effects of early pregnancy in the first, compared with later, lactations should be included when determining the optimal number of days open to maximize lifetime productivity in dairy cows. Keywords: dairy cattle, days open, days pregnant, test-day model ImplicationsDaily milk yields of cows decline as pregnancy progresses. By using a test-day model, we revealed that stage of pregnancy did not affect the estimated heritability of daily milk yield. However, 305-day milk yields were decreased in cows with fewer days open, and the rates of reduction associated with decreased days open (⩽90) in the second and third lactations were larger than that in the first lactation. These differences between the effects of stage of pregnancy in the first compared with later lactations should be included when determining the optimal number of days open for lifetime productivity in dairy cows.

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Genetic correlations among female fertility, 305-day milk yield and persistency during the first three lactations of Japanese Holstein cows

Cited by 35 publications

References 27 publications

Genetic parameters of reproductive traits in Tunisian Holsteins

Genetic parameters of reproductive traits in Tunisian Holsteins

Genetic relationship of lactation persistency with milk yield, somatic cell score, reproductive traits, and longevity in Slovak Holstein cattle

Effects of stage of pregnancy on variance components, daily milk yields and 305-day milk yield in Holstein cows, as estimated by using a test-day model

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