scholarly journals Genetic parameters of calving ease using sire-maternal grandsire model in Korean Holsteins

2017 ◽  
Vol 30 (9) ◽  
pp. 1225-1233 ◽  
Author(s):  
Mahboob Alam ◽  
Chang Gwon Dang ◽  
Tae Jeong Choi ◽  
Yun Ho Choy ◽  
Jae Gu Lee ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Calving Ease ◽  
Maternal Grandsire

scholarly journals Estimates of genetic parameters for 320-day pelvic measurements of males and females and calving ease of 2-year-old females

1994 ◽  
Vol 72 (8) ◽  
pp. 1954-1963 ◽  
Author(s):  
L. A. Kriese ◽  
L. D. Van Vleck ◽  
K. E. Gregory ◽  
K. G. Boldman ◽  
L. V. Cundiff ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Calving Ease ◽  
Males And Females ◽  
Old Females

scholarly journals Comparison of models for estimating genetic parameters and predicting breeding values for birth weight and calving ease in Czech Charolais cattle 

2014 ◽  
Vol 59 (No. 7) ◽  
pp. 302-309 ◽  
Author(s):  
L. Vostrý ◽  
Z. Veselá ◽  
A. Svitáková ◽  
H. Vostrá Vydrová
Keyword(s):  
Animal Model ◽  
Birth Weight ◽  
Beef Cattle ◽  
Fixed Effects ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Genetic Effects ◽  
Parameters Estimation ◽  
Calving Ease ◽  
Heritability Estimates

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.

Genetic parameters for calving difficulty using complex genetic models in five beef breeds in Australia

2016 ◽  
Vol 56 (5) ◽  
pp. 927 ◽  
Author(s):  
M. G. Jeyaruban ◽  
D. J. Johnston ◽  
B. Tier ◽  
H.-U. Graser
Keyword(s):  
Genetic Parameters ◽  
Linear Models ◽  
Random Effect ◽  
Genetic Correlations ◽  
Genetic Effect ◽  
Genetic Effects ◽  
Gestation Length ◽  
Calving Ease ◽  
Direct Genetic Effect ◽  
Calving Difficulty

Data on Angus (ANG), Charolais (CHA), Hereford (HER), Limousin (LIM) and Simmental (SIM) cattle were used to estimate genetic parameters for calving difficulty (CD), birthweight (BWT) and gestation length (GL) using threshold-linear models and to examine the effect of inclusion of random effect of sire × herd interaction (SxH) in the models. For models without SxH, estimated heritabilities for direct genetic effect of CD were 0.24 (±0.02), 0.22 (±0.04), 0.31 (±0.02), 0.22 (±0.04) and 0.17 (±0.01) for ANG, CHA, HER, LIM and SIM, respectively, whereas maternal heritabilities ranged from 0.13 to 0.20. Estimated heritabilities for direct genetic effect of BWT were 0.38 (±0.01), 0.37 (±0.03), 0.46 (±0.01), 0.35 (±0.02) and 0.36 (±0.01) for ANG, CHR, HER, LIM and SIM, respectively, whereas maternal heritabilities ranged from 0.08 to 0.11. Estimated heritabilities for direct genetic effect of GL were 0.59 (±0.02), 0.42 (±0.04), 0.50 (±0.03), 0.45 (±0.04) and 0.42 (±0.03) for ANG, CHR, HER, LIM and SIM, respectively, whereas maternal heritabilities ranged from 0.03 to 0.09. Genetic correlations between direct genetic effects of CD with BWT were highly positive and with GL were moderately positive for all five breeds. Estimated genetic correlations between direct genetic effects and maternal genetic effects (rdm) ranged across the five breeds from –0.40 (±0.05) to –0.16 (±0.02), –0.41 (±0.03) to –0.27 (±0.08) and –0.47 (±0.10) to –0.06 (±0.12) for BWT, GL and CD, respectively. Fitting SxH interaction as additional random effect significantly increased the log-likelihood for analyses of BWT, GL and CD of all breeds, except for GL of CHA. The estimated heritabilities were less than or equal to the estimates obtained with models omitting SxH. The rdm increased (i.e. became less negative) for BWT, GL and CD of all five breeds. However, the increase for GL was not substantially high in comparison to the increase observed for BWT and CD. Genetic parameters obtained for BWT, GL and CD, by fitting SxH as an additional random effect, are more appropriate to use in the genetic evaluation of calving ease in BREEDPLAN.

scholarly journals Genetic parameters of calving ease in dairy cattle using threshold and linear models

2018 ◽  
Vol 18 (1) ◽  
pp. 80-87
Author(s):  
António Silvestre ◽  
Ângela Martins ◽  
Virgínia Santos ◽  
Jorge Colaço
Keyword(s):  
Dairy Cattle ◽  
Genetic Parameters ◽  
Linear Models ◽  
Calving Ease

GENETIC PARAMETERS FOR CALVING EASE IN AYRSHIRES

1990 ◽  
Vol 70 (1) ◽  
pp. 67-71 ◽  
Author(s):  
R. I. CUE
Keyword(s):  
Maximum Likelihood ◽  
Key Words ◽  
Genetic Correlation ◽  
Direct Effect ◽  
Fixed Effects ◽  
Genetic Parameters ◽  
Random Effect ◽  
Restricted Maximum Likelihood ◽  
Calving Ease ◽  
Likelihood Model

Estimates of genetic parameters of calving ease were obtained in Ayrshires. A restricted maximum likelihood model was used with the fixed effects of herd, month-season of calving, sex of calf and dam weight, and the random effect of sire (of calf). The heritability of the direct effect in heifers and in adult cows was approximately 2%, with a genetic correlation between the direct effect in heifers and in adult cows of close to 70%. Key words: Variance, heritability, calving ease, Ayrshire

Genetic parameters and genomic regions associated with calving ease in primiparous Nellore heifers

2020 ◽  
Vol 240 ◽  
pp. 104183
Author(s):  
R.P. Silva ◽  
R. Espigolan ◽  
M.P. Berton ◽  
N.B. Stafuzza ◽  
F.S. Santos ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Calving Ease ◽  
Genomic Regions

Genetic Parameters of Direct and Maternal Effects for Calving Ease in Hanwoo

2021 ◽  
Vol 32 (2) ◽  
pp. 16-22
Author(s):  
Dae Jung Kim ◽  
Jeong Il Won ◽  
Chung Il Cho
Keyword(s):  
Maternal Effects ◽  
Genetic Parameters ◽  
Calving Ease

GENETIC PARAMETERS FOR MATERNAL TRAITS IN BEEF CATTLE

1988 ◽  
Vol 68 (1) ◽  
pp. 119-128 ◽  
Author(s):  
D. TRUS ◽  
J. W. WILTON
Keyword(s):  
Beef Cattle ◽  
Fixed Effects ◽  
Genetic Correlations ◽  
Monitoring Program ◽  
Parameter Estimates ◽  
Genetic Trend ◽  
Calving Ease ◽  
Modified Method ◽  
Maternal Heritability ◽  
Maternal Grandsire

Direct (D) and maternal (M) parameters for birth weight (BW), preweaning gain (WG) and calving ease (CE) were estimated for Angus (AN), Hereford (HE), Charolais (CH), Simmental (SM) and Shorthorn (SS). Data for the study were collected by Agriculture Canada from 1973 to 1983 for use in the National Sire Monitoring Program. Variances were estimated for each breed by a modified Method IV applied to a sire-maternal grandsire model with herd-year-seasons and age of dam × sex of calf as fixed effects. Genetic correlations (D/M) between D and M effects for WG in AN, HE, SS, CH and SM were −0.54, −0.42, −0.14, −0.26 and −0.45, respectively. Corresponding estimates of direct heritability for WG were 0.39, 0.30, 0.39, 0.27 and 0.43 and of maternal heritability 0.21, 0.27, 0.26, 0.16 and 0.20. Estimates for BW were similar to those for WG. Estimates of the D/M correlation for CE were −0.43, −0.15, −0.32, −0.74 and −0.27, of the direct heritability 0.28, 0.17, 0.19, 0.33 and 0.21, and of the maternal heritability 0.22, 0.13, 0.19, 0.23 and 0.27 for AN, HE, SS, CH and SM, respectively. Genetic trend and the introduction of new genetic lines are expected to have influenced parameter estimates. Due to negative D/M correlation estimates and moderate maternal heritabilities, selection for both the D and M components of maternal traits is advised. Key words: Variance, direct, maternal, heritability, genetic correlation, beef cattle

Some factors affecting the estimation of genetic parameters for cattle dystocia under a threshold model

1991 ◽  
Vol 53 (2) ◽  
pp. 151-156 ◽  
Author(s):  
E. J. Manfredi ◽  
M. San Cristobal ◽  
J. L. Foulley
Keyword(s):  
Maternal Effects ◽  
Fixed Effects ◽  
Genetic Parameters ◽  
Threshold Model ◽  
Genetic Parameter ◽  
Random Effect ◽  
Large Data ◽  
Marginal Maximum Likelihood ◽  
Factors Affecting ◽  
Maternal Grandsire

AbstractGenetic parameters for dystocia in the Main-Anjou breed were estimated. Data consisted of 28 178 birth records collected between 1978 and 1989 in 995 herds, with 161, 71 and 12 415 sires, maternal grandsires and dams, respectively, represented. Original scores (1 through 5) were collapsed in order to set two dystocia definitions: dystocia 1 (scores 1+2 v. 3+4+5) and dystocia 2 (scores 1 v. 2+3+4+5). Four models were proposed for genetic parameter estimation: (1) fixed effects plus sire effects; (2) model 1 plus maternal grandsire effect; (3) model 2 plus dam within maternal grandsire effects; (4) same as model 3 but a random effect ‘herds’ replaced a fixed effect ‘regions’. Two methods of fitting models were applied: marginal maximum likelihood and the ‘tilde-hat’ approach. Estimates of genetic parameters by the two methods were similar. Models ignoring maternal effects overestimated the heritability of direct effects especially in the case of dystocia 2. Dystocia definition was responsible for the greatest difference among estimated genetic parameters. Possible reasons for this are discussed. When analysing large data sets, it is recommended judiciously to collapse dystocia categories and to apply approximate statistical procedures to complete models including maternal effects.

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