Estimation of genetic parameters for functional longevity in the South African Holstein cattle using a piecewise Weibull proportional hazards model

Imbayarwo-Chikosi, V. E.; Ducrocq, Vincent; Banga, C.B.; Halimani, T. E.; Wyk, J.B. van; Maiwashe, A.; Dzama, K.

doi:10.1111/jbg.12264

Cited by 10 publications

(6 citation statements)

References 34 publications

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“…Our estimation about the heritability of longevity (number of lactations) was quite similar to the results of [ 46 ], as 0.11 was reported as heritability. Besides the number of lactations, longevity could be evaluated using the number of days between the first calving and the culling.…”

Section: Discussionsupporting

confidence: 88%

Combinations of Linear Type Traits Affecting the Longevity in Hungarian Holstein-Friesian Cows

Török

Komlósi

Szőnyi³

et al. 2021

Animals

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Several research studies confirm the association of the linear type traits with longevity, but only with one trait at a time. The aim of our study was to analyse the influence of combinations for linear type traits on longevity in the Hungarian Holstein-Friesian cows. Data were provided by four herds; the filtered dataset consisted of 17,717 cows. From the 14 available linear type traits, the most important combinations were identified based on principal components and cluster analysis. From the six identified combinations, only three (chest width-body depth, fore udder attachment-udder depth, angularity-rear udder height) proved to have a significant effect on longevity. A wide chest and deep body caused a high-risk ratio of culling. The lowest risk ratio was observed with cows having intermediate chest width and intermediate body depth. Very angular cows having low rear udder height were at the highest risk of culling. The lowest culling risk was found in cows with a lack of angularity and high rear udder height. Weak and loose fore udder along with deep udder had increased culling risk. Strong and tight fore udder subclasses were the most favourable as their risk ratios decreased towards the shallowing of udder depth.

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Section: Discussionsupporting

confidence: 88%

Combinations of Linear Type Traits Affecting the Longevity in Hungarian Holstein-Friesian Cows

Török

Komlósi

Szőnyi³

et al. 2021

Animals

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“…Genetic trends of LPL sires of two breeds in Slovakia were similar in compare with many authors (van Doormaal, 2009;Raguž et al, 2014;Egger-Danner et al, 2015;Stanojević et al, 2018;Morek-Kopeć et al, 2017). The negative genetic trends in functional longevity found Imbayarwo-Chikosi et al (2017) in South Africa Holstein cattle and Jenko et al (2013) in Slovenian Brown cattle, which could have been resulting from intense selection on high milk production. Genetic trends of length of productive life from a Weibull survival model may be overestimated for young sires because they have few culled daughters and its reliability of the RBV estimate is very low (Sewalem et al, 2005).…”

Section: Discussionsupporting

confidence: 84%

Genetic Trend of Length of Productive Life in Holstein and Slovak Simmental Cattle in Slovakia

Strapáková¹,

Strapák²,

Candrák³

2019

Acta Univ. Agric. Silvic. Mendelianae Brun.

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National genetic evaluation of lengh of productive life in Slovakia was carry out from the year 2014 till 2018, three times per year (March, June and October). The survival analysis was performed using Weibull sire model. The heritability obtained from Weibull model was different between populations (0.13 in Holstein and 0.05 in Slovak Simmental, respectively). RBVs of Holstein sires born up to 1999 shows decreasing tendency in all five years. A desirable tendency started from the year 2000. Differences between RBV in particular years are due to descent censored records during the evaluated period. Similar trends showed in Slovak Simmental bulls RBVs. Culled cows reached average 305-day milk yield 6499 kg and 4645 kg in Holstein and Slovak Simmental breeds, respectively. The length of productive life there was 898 days in Holstein and 985 days in Slovak Simmental cows. Age at first calving reached 930 days in Slovak Simmental and 851 days in Holstein heifers. The progress of both traits in the years 2014–2018 was lower in Holstein population, +288 kg milk and +76 productive days than in Slovak Simmental cows.

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“…Hence, due to the inflated ρ from M9S, the health status from different lactations should be considered in separate runs (i.e., modeling strategies M1S or M3S). For modeling strategy M9Swd and ignoring diseases as explanatory variables, the ρ value of 1.48 was in line with LPL shape parameters from other Holstein dairy cattle populations, which ranged from 1.21 to 1.89 (Hultgren and Svensson, 2009;M'hamdi et al, 2010;Garcia-Ruiz et al, 2016). For the SNP-based modeling strategies MSNP1 and MSNP2, ρ was identical (value 1.81).…”

Section: Shape Parameter Of the Weibull Distributionmentioning

confidence: 58%

Survival analyses in Holstein cows considering direct disease diagnoses and specific SNP marker effects

Shabalina

Yin

König

2020

Journal of Dairy Science

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The aim of the present study was to infer influences of health disorders and of specific SNP markers on longevity in Holstein cows via survival analyses. Longevity was defined as the length of productive life (LPL), reflecting the interval from first calving until the culling or censoring date. In this regard, we considered longevity records from 129,386 Holstein cows from 57 largescale herds, with calving dates in first parity between January 2004 and December 2017 (30.27% censored records). We selected specific diseases from the overall categories claw disorders, udder diseases, metabolic disorders, and female fertility disorders within 3 stages of parities 1, 2, and 3. Lactation stage 1 was the period from calving to days in milk (DIM) 59, lactation stage 2 from DIM 60 to DIM 299, and lactation stage 3 from DIM 300 to the next calving date. The effects of the diseases on culling risk ratios were estimated via Weibull proportional hazards models. In this regard, we used 3 different modeling strategies. In modeling strategy M1S, binary diseases from different parities and lactation stages for the same diagnosis were modeled as explanatory variables in separate runs. Modeling strategy M3S included diseases for the same diagnosis from stage 1, 2, and 3 in the same parity simultaneously. Modeling strategy M9S implied consideration of diseases for the same diagnosis from different lactation stages and from all 3 parities simultaneously. The effect of the same diseases on culling risks from M1S and M3S were similar, with increasing detrimental effect of diseases recorded in later lactation stages and parities. The strongest disease effect on LPL was detected for clinical and subclinical mastitis recorded in the middle of the third lactation, with culling risks of 2.59 and 2.40, respectively, and for claw disorders from the last ( ) and 0.12 h eff 2 ( ) . The small number of significantly associated SNP in genome-wide associations and the minor effect of specific SNP on LPL in survival analyses underline the polygenetic nature of longevity.

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Estimation of genetic parameters for functional longevity in the South African Holstein cattle using a piecewise Weibull proportional hazards model

Cited by 10 publications

References 34 publications

Combinations of Linear Type Traits Affecting the Longevity in Hungarian Holstein-Friesian Cows

Combinations of Linear Type Traits Affecting the Longevity in Hungarian Holstein-Friesian Cows

Genetic Trend of Length of Productive Life in Holstein and Slovak Simmental Cattle in Slovakia

Survival analyses in Holstein cows considering direct disease diagnoses and specific SNP marker effects

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