Estimation of genetic parameters and trends for energy-corrected 305-d milk yield in Iranian Holsteins

Hossein-Zadeh, Navid Ghavi

doi:10.5194/aab-55-420-2012

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…These estimates were consistent with the previously reported estimates (Løvendahl and Chagunda, 2009;Ismael et al, 2015) with heritability estimates ranging from 0.02 to 0.08. For ECM70, the heritability in the average production environment was 0.18, which was in agreement with previously reported estimates of ECM single test-day yield between 0.14 and 0.25 (Hüttmann et al, 2009;Hossein-Zadeh, 2012;Liinamo et al, 2012).…”

Section: Variance Components and Heritability Estimates From Urrmsupporting

confidence: 91%

Genotype by environment interaction for activity-based estrus traits in relation to production level for Danish Holstein

Ismael

Strandberg

Berglund

et al. 2016

Journal of Dairy Science

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The objective of this study was to investigate whether genotype by environment interaction exists for female fertility traits and production of energy-corrected milk at 70d in milk (ECM70). Fertility traits considered were the activity-based estrus traits interval from calving to first high activity (CFHA), duration of high activity episode (DHA), as an indicator for first estrus duration, and strength of high activity episode (SHA), as an indicator for first estrus strength. The physical activity traits were derived from electronic activity tags for 11,522 first-parity cows housed in 125 commercial dairy herds. Data were analyzed using a univariate random regression animal model (URRM), by regressing the phenotypic performance on the average herd ECM70 as an environmental gradient. Furthermore, the genetic correlations between CFHA and ECM70 as a function of production level were estimated using a bivariate random regression animal model (BRRM). For all traits, heterogeneity of additive genetic variances and heritability estimates was observed. The heritability estimate for CFHA decreased from 0.25 to 0.10 with increasing production level and the heritability estimate for ECM70 decreased from 0.35 to 0.15 with increasing production level using URRM. The genetic correlation of the same trait in low and high production levels was around 0.74 for CFHA and 0.80 for ECM70 using URRM, but when data were analyzed using the multiple-trait analysis (MT), genetic correlation estimates between low and high production levels were not significantly different from unity. Furthermore, the genetic correlation of SHA between low and high production level was 0.22 using URRM, but the corresponding correlation estimate had large standard error when data were analyzed using MT. The genetic correlation between CFHA and ECM70 as a function of production environment was weak but unfavorable and decreased slightly from 0.09 to 0.04 with increasing production level using BRRM. Moreover, the same trend was observed when the data were analyzed using MT where the genetic correlation between CFHA and ECM70 in the low production environment was 0.29 compared with -0.13 in the high production environment, but these estimates had large standard errors. In conclusion, regardless of the trait used, in relation to average herd ECM70 production, the results indicated no clear evidence of strong genotype by environment interaction that would cause significant re-ranking of sires between low and high production environments.

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Section: Variance Components and Heritability Estimates From Urrmsupporting

confidence: 91%

Genotype by environment interaction for activity-based estrus traits in relation to production level for Danish Holstein

Ismael

Strandberg

Berglund

et al. 2016

Journal of Dairy Science

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“…However, selection for milk traits has resulted in a partial shift of available energy towards milk production at the cost of other biological pathways (Collard et al 2000). There is a general agreement that energy balance should be included into future breeding programmes, but direct measurements are costly and difficult to be implemented in practice (Hüttmann et al 2009;Ghavi Hossein-Zadeh 2012). Thus, there is a large interest in low-cost traits describing the energy status in an appropriate way.…”

Section: Introductionmentioning

confidence: 99%

Application of growth models to describe the lactation curves for test-day milk production in Holstein cows

Hossein-Zadeh

2016

Journal of Applied Animal Research

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In order to describe the lactation curves of milk yield traits, six standard growth models (Brody, logistic, Gompertz, Schumacher, Von Bertalanffy and Morgan) were used. Data were 911,144 test-day records for unadjusted milk yield , 4% fat-corrected milk yield and energy-corrected milk yield from the first lactation of Iranian Holstein cows, which were collected on 834 dairy herds in the period from 2000 to 2011. Each model was fitted to monthly production records of dairy cows using the NLIN and MODEL procedures in SAS. The models were tested for goodness of fit using adjusted coefficient of determination, root means square error, Durbin-Watson statistic, Akaike's information criterion (AIC) and Bayesian information criterion (BIC). The Morgan model provided the best fit of the lactation curves due to the lower values of AIC and BIC than other models, but the Brody model did not fit the production data as well as the other equations. The results showed that the Morgan equation was able to estimate the time to the peak and peak yield more accurately than the other equations. Overall, evaluation of the different growth equations indicated the potential of the nonlinear functions for fitting monthly productive records of Holstein cows.

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The Effect of Phenotypic and Genotypic Factors on Some Yield Traits in Holstein Friesian Cows with High Milk Yield Reared in Türkiye

ŞAHİN,

YILMAZ,

KAYGISIZ

2024

Black Sea Journal of Agriculture

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This study was carried out to determine the effects and phenotypic relationships of some environmental factors (first calving age, calving year, and calving season) on Lactation period, dry period, milk yield and Milkability traits. The material of the study was the lactation records of 1079 Holstein cows raised in a private dairy farm. As a result of analyses, the values of 305-DMY yield (305 DMY), the lactation period (LP), dry period (DP), time to reach peak yield (Tmax), peak yield (Ymax), average daily milk yield (ADMY), total lactation milk yield (ATMY) and age at first calving (AFC) were determined as 9926.3±178.1 kg, 318.1±1.4 days, 60.05±0.9 days, 95.2±2.1 days, 42.3±0.3 kg, 32.2±0.3 kg, 10248.7±94.1, and 26.7±0.2 months, respectively. In the study, the average milk flow rate (MFR) and the average milking time (MT) were found as 2.0±0.0 kg min-1 and 360.9±4.7 seconds, respectively. In addition, estimates of the 305-day mature equivalent milk yield (ME 305-d) and MFR were also found to be 0.41±0.24 and 0.51±0.30, respectively. As a result, this dairy farm can be recommended as an example to breeders who have just started their dairy farm in Turkey and countries with similar environmental conditions and are looking for a model.

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Estimation of genetic parameters and trends for energy-corrected 305-d milk yield in Iranian Holsteins

Cited by 5 publications

References 17 publications

Genotype by environment interaction for activity-based estrus traits in relation to production level for Danish Holstein

Genotype by environment interaction for activity-based estrus traits in relation to production level for Danish Holstein

Application of growth models to describe the lactation curves for test-day milk production in Holstein cows

The Effect of Phenotypic and Genotypic Factors on Some Yield Traits in Holstein Friesian Cows with High Milk Yield Reared in Türkiye

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