Genetic evaluation of survival traits in the Holstein dairy cows of Iran

Mirhabibi, S.; Kashan, Nasser Emam Jomeh; Gharahveysi, Shahabodin

doi:10.21608/ejvs.2018.3070.1031

Cited by 4 publications

(3 citation statements)

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“…Longevity had a significant positively genetic correlation with milk fat and milk yeild, the correlation coefficients are 0.46 and 0.43, respectively ( Weigel et al, 1998 ), and it was positively genetic correlated with fat and protein, the correlation coefficients are 0.56–0.61 ( Haile-Mariam and Pryce, 2015 ). However, other studies have found a negative correlation between production life and milk production ( Mirhabibi et al, 2018 ; Bieber et al, 2019 ), which indicate that high-yield cows have high energy metabolism during lactation, and their breasts may be more vulnerable to the milking equipment. There is a positive genetic correlation between somatic cells and blood immune-related cells.…”

Section: Longevity With Other Traitsmentioning

confidence: 91%

Analysis of Longevity Traits in Holstein Cattle: A Review

et al. 2021

Front. Genet.

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Dairy cow longevity is an essential economic trait that can supplement the breeding value of production traits, which is related to the herd time and lifetime milk yield of dairy cows. However, longevity is a relatively difficult trait to select for dairy cow breeding due to low heritability and numerous influence factors of the longevity in dairy cows. Longevity trait has been used as an important breeding target of a comprehensive selection index in many dairy developed countries; however, it has not been included in performance index in many developing countries. At present, cows in these countries are still in the primary stage of “large quantity, low quality, high cost, and low yield.” The average parity of dairy cows is less than 2.7, which is difficult to maintain the production efficiency to meet the demands of the dairy industry. Therefore, there is an urgent need to select and breed for the longevity of dairy cows. The various definitions and models (including linear, threshold, random regression, sire, and survival analysis) of longevity were reviewed and standardized. Survival analysis is the optimal model to evaluate longevity, and the longevity heritability is 0.01–0.30 by using different definitions and models. Additionally, the relationship between longevity and other traits was summarized, and found that longevity was regulated by multiple factors, and there were low or medium genetic correlations between them. Conformation traits, milk production traits, reproductive traits, and health traits may be used as indicators to select and breed the longevity of dairy cows. The genetic assessment methods, heritability, influencing factors, importance, breeding, and genetics of longevity were reviewed in the manuscript, which could provide a valuable reference for the selective breeding to extend the productive life of Holstein cattle.

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Section: Longevity With Other Traitsmentioning

confidence: 91%

Analysis of Longevity Traits in Holstein Cattle: A Review

et al. 2021

Front. Genet.

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“…Ratwan et al (2017) reported that there were many non-genetic factors affecting milk production traits as parity, season of calving and calving interval in cattle. During the last three decades, milk yield per lactation has greatly increased, whereas fertility, health and productive life have decreased (Mirhabibi et al, 2018) . Mastitis is considered the major health and the most frequent, and serious disease of dairy cattle, because of its high economic losses and huge impact on the dairy industry via reduction in milk yield worldwide.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Non-genetic Parameters Affecting Total Milk Yield and Occurrence of Mastitis in Holstein Friesian Dairy Cows

Abo-Gamil

El-Qaliouby

Manaa

et al. 2021

Benha Veterinary Medical Journal

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This study was performed on 1480 productive records collected from private farm of Holstein Friesian cows. In addition, collections of 70 milk samples for the measurement of somatic cell count (SCC). This study aims to evaluate the effect of some non-genetic factors (days in milk (DIM), peak milk yield (PMY), dry period (DP), calving interval (CI), parity, and season of calving) on total milk yield (TMY), and studying the effect of305-day milk yield (305-DMY), peak milk yield (PMY), days in milk (DIM), parity and season of calving on mastitis in Holstein Friesian cows. All data were analyzed by general linear model (GLM) using SAS software ver.9.1.3. The current results revealed that DIM and parity had a significant effect on TMY, where the highest milk yield was obtained when DIM were more than 357 days and in the 3rd lactation season. Season of calving showed a significant effect on occurrence of mastitis, where the highest incidence of mastitis was recorded for spring calvers.

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“…In dairy cattle, the length of a cow’s productive life is an essential functional trait with great economic significance [ 1 , 2 , 3 ] and is part of the breeding objectives and comprehensive selection indices [ 4 , 5 ]. Predicting future survival at an early age can reduce unprofitable investment in an inferior animal [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Genetic Parameters for a Weighted Analysis of Survivability in Dairy Cattle

Černá

Zavadilová

Vostrý

et al. 2023

Animals

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The genetic parameters for the survival of Holstein cows, analysed in nine consecutive time periods during the first three calving intervals, were estimated. The earlier the animals are culled, the more they are informationally underestimated. This undervaluing can be remedied by using a weighted analysis that balances the amount of information. If the method of estimating breeding values changes, the genetic parameters will also change. The Holstein cattle dataset from 2005 to 2017 used in this study included 1,813,636 survival records from 298,290 cows. The pedigree with three generations of ancestors included 660,476 individuals. Linear repeatability models estimated genetic parameters for overall and functional survivability. Due to weights, heritability increased from 0.013 to 0.057. Repeatability with weights was 0.505. The standard deviations of breeding values were 1.75 and 2.18 without weights and 6.04 and 6.20 with weights. Including weights in the calculation increased the additive variance proportion and the breeding values’ reliabilities. We conclude that the main contribution of the weighted method we have presented is to compensate for the lack of records in culled individuals with a positive impact on the reliability of the breeding value.

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Genetic evaluation of survival traits in the Holstein dairy cows of Iran

Cited by 4 publications

References 0 publications

Analysis of Longevity Traits in Holstein Cattle: A Review

Analysis of Longevity Traits in Holstein Cattle: A Review

Estimation of Non-genetic Parameters Affecting Total Milk Yield and Occurrence of Mastitis in Holstein Friesian Dairy Cows

Genetic Parameters for a Weighted Analysis of Survivability in Dairy Cattle

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