scholarly journals Linear and linear-threshold model for genetic parameters for SEUROP carcass traits in Czech beef cattle

2011 ◽  
Vol 56 (No. 9) ◽  
pp. 414-426 ◽  
Author(s):  
Z. Veselá ◽  
L. Vostrý ◽  
P. Šafus
Keyword(s):  
Beef Cattle ◽  
Linear Model ◽  
Legendre Polynomial ◽  
Model Equation ◽  
Genetic Parameters ◽  
Threshold Model ◽  
Genetic Parameter ◽  
Carcass Traits ◽  
Linear Threshold ◽  
Linear Threshold Model

The objective of this study was to estimate genetic parameters for the results of classifying of carcass traits by the SEUROP method in beef cattle in the Czech Republic using linear and linear-threshold models. Genetic parameters were calculated and evaluated in a set of 4276 animals of eleven beef breeds and crosses with dairy and dual-purpose breeds (Aberdeen Angus – 1376, Hereford – 994, Simmental – 651, Charolais – 524, Piemontese – 185, Galloway – 162, Blonde d’Aquitaine – 147, Limousine – 106, Highland – 53, Gasconne – 44, Belgian Blue – 34) in 2005–2008. Aberdeen Angus, Hereford, Charolais and beef Simmental were the most numerous breeds. Fixed effect of a classifier, fixed regression on age at slaughter by means of Legendre polynomial of the second degree separately for the each breed and sex and fixed regression on heterosis coefficient were included in a model equation. Genetic parameters were estimated by a multi-trait animal model using a linear model and a linear-threshold model in which carcass weight (CW) was considered as the linear trait and carcass conformation (CC) and carcass fatness (CF) grading as threshold traits. The heritability coefficient for CW differed only moderately according to the method of the genetic parameter estimation (0.295 in linear model and 0.306 in linear-threshold model). The heritability coefficient for CC was 0.187 in linear model and 0.237 in linear-threshold model. The heritability coefficient for CF grading was 0.089 in linear model and 0.146 in linear-threshold model. Genetic correlation between CW and CC was high (0.823 in linear model and 0.959 in linear-threshold model), the correlation between CW and CF was intermediate (0.332 and 0.328, respectively) and it was low between CF and CC (0.071 and 0.053). If CW was included in the model equation as fixed regression using Legendre polynomial, lower heritability coefficients for CC (0.077 and 0.078) and CF (0.086 and 0.123) were calculated and the correlation between CC and CF was negative (–0.430 and –0.429).

scholarly journals Identifying early indicator traits for sow longevity using a linear-threshold model in Thai Large White and Landrace females

2021 ◽  
Vol 34 (1) ◽  
pp. 20-25
Author(s):  
Suppasit Plaengkaeo ◽  
Monchai Duangjinda ◽  
Kenneth J. Stalder
Keyword(s):  
Litter Size ◽  
Genetic Parameters ◽  
Threshold Model ◽  
Genetic Associations ◽  
Genetic Trait ◽  
Large White ◽  
Linear Threshold ◽  
Sow Longevity ◽  
Linear Threshold Model ◽  
Indicator Traits

Objective: The objective of the study was to investigate the possibility of utilizing an early litter size trait as an indirect selection trait for longevity and to estimate genetic parameters between sow stayability and litter size at different parities using a linear-threshold model for longevity in Thai Large White (LW) and Landrace (LR) populations.Methods: The data included litter size at first, second, and third parities (NBA1, NBA2, and NBA3) and sow stayability from first to fourth farrowings (STAY14). The data was obtained from 10,794 LR and 9,475 LW sows. Genetic parameters were estimated using the multipletrait animal model. A linear-threshold model was used in which NBA1, NBA2, and NBA3 were continuous traits, while STAY14 was considered a binary trait.Results: Heritabilities for litter size were low and ranged from 0.01 to 0.06 for both LR and LW breeds. Similarly, heritabilities for stayability were low for both breeds. Genetic associations between litter size and stayability ranged from 0.43 to 0.65 for LR populations and 0.12 to 0.55 for LW populations. The genetic correlation between NBA1 and STAY14 was moderate and in a favorable direction for both LR and LW breeds (0.65 and 0.55, respectively).Conclusion: A linear-threshold model could be utilized to analyze litter size and sow stayability traits. Furthermore, selection for litter size at first parity, which was the genetic trait correlated with longevity, is possible when one attempts to improve lifetime productivity in Thai swine populations.

scholarly journals Estimation of environmental effects and genetic parameters of carcass traits on Chikso (Korean brindle cattle)

2020 ◽  
Vol 33 (4) ◽  
pp. 525-530 ◽  
Author(s):  
Byoungho Park ◽  
Tae Jeong Choi ◽  
Mi Na Park ◽  
Sang-Hyon Oh
Keyword(s):  
Linear Model ◽  
Environmental Effects ◽  
Genetic Parameters ◽  
Coat Color ◽  
Carcass Traits ◽  
National Level ◽  
Pedigree Information ◽  
Small Scale ◽  
Muscle Area ◽  
Eye Muscle

Objective: The purpose of this study was i) to identify the characteristics of carcass traits in Chikso by gender, region, age at slaughter, and coat color using the carcass data collected from the nationwide pedigree information and coat color investigation, and ii) to estimate genetic parameters for breed improvement.Methods: A linear model was used to analyze the environmental effects on the carcass traits and to estimate genetic parameters. Analysis of variance was performed using TYPE III sum of squares for the unbalanced data provided by the general linear model procedure. Variance components for genetic parameters was estimated using REMLF90 of the BLUPF90 family programs.Results: Phenotypic performance of carcass weight (CW), eye muscle area (EMA), and backfat thickness (BF) in Chikso were lower than those of Hanwoo. This is a natural outcome because Hanwoo have undergone significant efforts for improvement at the national level, a phenomenon not observed in Chikso. Another factor influencing the above outcome was the smaller population size of Chikso compared to that of Hanwoo’s. The heritabilities of CW, EMA, BF, and marbling score in Chikso were estimated as 0.50, 0.37, 0.35, and 0.53, respectively, which were was higher than those of Hanwoo.Conclusion: Based on the genetic parameters that were estimated in this study, it is expected that the carcass traits will improve when the livestock research institutes at each province conduct small-scale performance tests and the semen is provided to farmers after selecting proven bulls using the state-of-art selection technique such as genomic selection.

scholarly journals Use of robust multivariate linear mixed models for estimation of genetic parameters for carcass traits in beef cattle

2014 ◽  
Vol 131 (6) ◽  
pp. 504-512 ◽  
Author(s):  
S.O. Peters ◽  
K. Kizilkaya ◽  
D.J. Garrick ◽  
R.L. Fernando ◽  
E.J. Pollak ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Mixed Models ◽  
Genetic Parameters ◽  
Linear Mixed Models ◽  
Carcass Traits ◽  
Estimation Of Genetic Parameters
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