scholarly journals Selecting for calving ease versus birth weight in beef cattle.

2020 ◽  
Vol 98 (7) ◽  
2014 ◽  
Vol 59 (No. 7) ◽  
pp. 302-309 ◽  
Author(s):  
L. Vostrý ◽  
Z. Veselá ◽  
A. Svitáková ◽  
H. Vostrá Vydrová

The most appropriate model for genetic parameters estimation for calving ease and birth weight in beef cattle was selected. A total of 27 402 field records were available from the Czech Charolais breed. For estimation of genetic parameters for calving ease and body weight, three bivariate models were tested: a linear-linear animal model (L-LM) with calving ease classified into four categories (1 – easy; 2–4 – most difficult), a linear-linear animal model (SC-LM) in which calving ease scores were transformed into Snell scores (Snell 1964) and expressed as percentage of assisted calving (ranging 0–100%), and a bivariate threshold-linear animal model (T-LM) with calving ease classified into four categories (1 – easy, 2–4 – most difficult). All tested models included fixed effects for contemporary group (herd × year × season), age of dam, sex and breed of a calf. Random effects included direct and maternal genetic effects, maternal permanent environmental effect, and residual error. Direct heritability estimates for calving ease and birth weight were, with the use of L-LM, SC-LM, and T-LM, from 0.096 ± 0.013 to 0.226 ± 0.024 and from 0.210 ± 0.024 to 0.225 ± 0.026, respectively. Maternal heritability estimates for calving ease and birth weight were, with the use of L-LM, SC-LM, and T-LM, from 0.060 ± 0.031 to 0.104 ± 0.125 and from 0.074 ± 0.041 to 0.075 ± 0.040, respectively. Genetic correlations of direct calving ease with direct birth weight ranged from 0.46 ± 0.06 to 0.50 ± 0.06 for all tested models; whereas maternal genetic correlations between these two traits ranged from 0.24 ± 0.17 to 0.25 ± 0.53. Correlations between direct and maternal genetic effects within-trait were negative and substantial for all tested models (ranging from –0.574 ± 0.125 to –0.680 ± 0.141 for calving ease and from –0.553 ± 0.122 to –0.558 ± 0.118 for birth weight, respectively), illustrating the importance of including this parameter in calving ease evaluations. Results indicate that any of the tested models could be used to reliably estimate genetic parameters for calving ease for beef cattle in the Czech Republic. However, because of advantages in computation time and practical considerations, genetic analysis using SC-LM (transformed data) is recommended.


1990 ◽  
Vol 70 (1) ◽  
pp. 45-54
Author(s):  
R. M. McKAY ◽  
G. W. RAHNEFELD ◽  
G. M. WEISS ◽  
H. T. FREDEEN ◽  
J. A. NEWMAN ◽  
...  

Calving ease and calf mortality were evaluated for calves out of first-cross and backcross cows maintained under two contrasting environments. All calves were sired by Limousin bulls. The dam crosses at Brandon were HA, SN, CN, ACA, CCA, ASA, SSA, HCH, CCH, HSH, SSH, NCN, CCN, SSN, and NSN with H = Hereford, A = Angus, N = Shorthorn, C = Charolais, S = Simmental and a SSA cross was 3/4 Simmental-1/4 Angus. At Manyberries the dam crosses were HA, SN, ASA, SSA, HSH, SSH, NSN, and SSN. The calves were born between 1982 and 1986, inclusive, at Brandon, Manitoba (semi-intensive management) and Manyberries, Alberta (extensive range management). At Brandon, when calf birth weight was not a covariate, the significant dam cross contrasts for calving ease included less difficulty for SN cows than either the SSN or NSN cows, and for 3/4 A-1/4 European continental (E) cows than 1/4A–3/4E cows. When adjusted to a common calf birth weight the significant contrasts were HA cows had more difficulty than SN cows and the combination of SN and CN cows, SN cows had less difficulty than NSN cows, and 3/4A–1/4E cows had less difficulty than 1/4A–3/4E cows. At Manyberries, regardless of whether calf birth weight was excluded or included as a covariate, the SN cows had less difficulty than the SSN and the SSN cows had less difficulty than NSN cows. No significant dam cross comparisons were observed for calf mortality scores. Adjusting the calving ease scores to a constant calf birth weight did not significantly alter the magnitude of the contrasts but it did shift their probability levels. Location and sex of calf effects were not significant except for calving ease at Brandon where more difficulty was associated with male calves than female calves. Key words: Beef cattle, crossbreeding, backcrosses, calving, mortality


2009 ◽  
Vol 122 (2-3) ◽  
pp. 143-148 ◽  
Author(s):  
Kaarina Matilainen ◽  
Raphael Mrode ◽  
Ismo Strandén ◽  
Robin Thompson ◽  
Esa A. Mäntysaari

2016 ◽  
Vol 16 ◽  
pp. 329-332
Author(s):  
V.T. Burggraaf ◽  
D.B. Lineham

The impact of using high genetic merit beef bulls in a dairy beef supply chain was compared to using unrecorded beef bulls. Dairy cows were inseminated with Ezicalve Hereford semen (high genetic merit for calving ease and growth), followed by natural mating with Ezicalve and unrecorded Hereford bulls. The resulting 186 progeny were monitored from birth to 2 years old. Ezicalve sired calves required no calving assistance and averaged 4 kg lighter at birth than those from unrecorded sires (P


1981 ◽  
Vol 61 (4) ◽  
pp. 1041-1048 ◽  
Author(s):  
L. A. GOONEWARDENE ◽  
R. T. BERG ◽  
R. T. HARDIN

Four growth equations (Richards, Brody, Von Bertalanffy and Logistic) were fitted to data from two breed groups of female beef cattle, purebred Hereford (HE) and synthetic of Charolais, Angus and Galloway (SY), which were maintained at the University of Alberta beef breeding research ranch at Kinsella, Alberta. All functions fitted three common parameters (an asymptote, an integration constant and a maturing rate parameter). Two functions (Von Bertalanffy and Logistic) had fixed inflection points while the Richards function fitted the inflection point as a fourth parameter. The Brody function had no inflection point. Based on the R2, mean prediction errors (MPE) and residual variances, the Richards function, with a variable inflection point, provided the best overall and the most consistent fit to both sets of data, followed by the Brody function with no inflection point. The Richards was the only function that could predict birth weight with any degree of accuracy. The Logistic and Von Bertalanffy functions, with fixed inflection points, provided poor estimates of actual weights at each end of the growth curve, overestimating birth weight and converging too early leading to underestimation of adult weight or the asymptote. Intermediate weights were reasonably well estimated by these functions. The HE group showed a 28% greater maturing rate compared with the SY based on the Richards function.


2011 ◽  
Vol 50 (No. 1) ◽  
pp. 14-21 ◽  
Author(s):  
E. Krupa ◽  
M. Oravcová ◽  
P. Polák ◽  
J. Huba ◽  
Z. Krupová

Growth traits of purebred calves of six beef breeds (Aberdeen Angus – AA, Blonde d’Aquitaine – BA, Charolais – CH,Hereford – HE, Limousine – LI and Beef Simmental – BS) born from 1998 to 2002 were analysed. Traits under study were birth weight (BW), weight at 120 days (W120), weight at 210 days – weaning weight (WW), weight at 365 days – yearling weight (YW) and average daily gains from birth to 120 days (ADG1), from birth to 210 days (ADG2), from birth to 365 days (ADG3), from 120 to 210 days (ADG4). General linear model with class effects of breed, dam’s age at calving, sex, herd-year-season (HYS) and covariation of age at weighing was used for analyses. All effects significantly affected both weight and gain traits except for dam’s age that was significant for BW, W120, YW and ADG3, and age at weighing that was significant for W120, WW, YW, ADG2, ADG3, ADG4. Estimated least squares means of growth traits were compared using Scheffe’s multiple-range tests. Highest BW (40.57 kg) and W120 (172.43 kg) were found for BA calves. BS calves had highest WW (260.30 kg), YW (424.07 kg), ADG1 (1 154 g), ADG2 (1 053 g), ADG3 (1 054 g) and ADG4 (1 098 g). Highest BW, YW, ADG3 and ADG4 were found for males-singles. Males-twins had highest W120, WW, ADG1 and ADG2. Calves descending from 5–7 years old dams had highest BW, W120, WW, ADG1, ADG2 and ADG4. The proportion of variability of growth traits explained by HYS effect (42.96–71.69%) was high, whereas proportions of variability explained by SEX effect (2.03–5.77%), age of dam (1.02–2.24%) and breed (1.05–2.21%) were low. Residuals accounted for 23.71 up to 53.79% of total variance.  


2000 ◽  
Vol 78 (1) ◽  
pp. 21 ◽  
Author(s):  
L E Lykins ◽  
J K Bertrand ◽  
J F Baker ◽  
T E Kiser

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