Genetic evaluation of on-farm tested pigs using an animal model II. Prediction of breeding values with a multiple trait model

1992 ◽  
Vol 30 (1-2) ◽  
pp. 83-98 ◽  
Author(s):  
A. Hofer ◽  
C. Hagger ◽  
N. Künzi
Keyword(s):  
Animal Model ◽  
Genetic Evaluation ◽  
Multiple Trait ◽  
Breeding Values ◽  
Trait Model ◽  
On Farm

Combining direct and correlated traits into an aggregate index for dairy cattle fertility

2007 ◽  
Vol 2007 ◽  
pp. 64-64
Author(s):  
Stefano Biffani ◽  
Fabiola Canavesi ◽  
Maurizio Marusi
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Milk Yield ◽  
Genetic Evaluation ◽  
Conception Rate ◽  
Calving Interval ◽  
Multiple Trait ◽  
Breeding Values ◽  
Breeding Goal ◽  
Aggregate Index

In January 2006, ANAFI (Italian Holstein Breeders Association) introduced a genetic evaluation for fertility based on a multiple-trait animal model (Biffani et al., 2005), which included the following traits: days from calving to first insemination (DTFS), calving interval (CI), first-service non return rate to 56 d (NR56), angularity (ANG) and mature equivalent milk yield at 305 d (ME305). Breeding values have been subsequently combined in an aggregate index (T), with the breeding goal to increase conception rate (CR). This paper will show how the breeding values have been combined into an aggregate index. At the same time the efficiency of selecting on alternative aggregate indexes versus the official aggregate index is presented.

scholarly journals MELHORAMENTO ANIMAL: PREDIÇÃO DE VALORES GENÉTICOS PELO MODELO ANIMAL-BLUP EM BOVINOS DE LEITE, BOVINOS DE CORTE, OVINOS E SUÍNOS

1999 ◽  
Vol 4 (1) ◽  
Author(s):  
MARCOS DEON VILLELA DE RESENDE ◽  
JESUS ROLANDO H. ROSA PEREZ
Keyword(s):  
Animal Model ◽  
Animal Models ◽  
Standard Procedure ◽  
Domestic Animals ◽  
Genetic Evaluation ◽  
Breeding Values ◽  
Main Species ◽  
Animal Model Blup

Atualmente, o procedimento padrão de avaliação genética é o BLUP sob modelo animal. O presente trabalho apresenta aspectos práticos relativos à aplicação deste procedimento no melhoramento das principais espécies de animais domésticos. São abordados vários modelos animais e as várias medidas associadas aos valores genéticos preditos e à precisão das predições. Abstract Animal model – BLUP is the standard procedure for animals genetic evaluation. This paper deals with practical aspects concerning the application of this procedure for the improvement of the main species of domestic animals. Several animal models and measures associated to the predicted breeding values and accuracy of predictions are considered.

scholarly journals Genetic Evaluation of Fertility Traits of Dairy Cattle Using a Multiple-Trait Animal Model

2008 ◽  
Vol 91 (11) ◽  
pp. 4333-4343 ◽  
Author(s):  
Z. Liu ◽  
J. Jaitner ◽  
F. Reinhardt ◽  
E. Pasman ◽  
S. Rensing ◽  
...  
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Genetic Evaluation ◽  
Multiple Trait ◽  
Fertility Traits

Genetic analysis of feet and leg traits of Australian Angus cattle using linear and threshold models

2012 ◽  
Vol 52 (1) ◽  
pp. 1 ◽  
Author(s):  
Gilbert Jeyaruban ◽  
Bruce Tier ◽  
David Johnston ◽  
Hans Graser
Keyword(s):  
Animal Model ◽  
Genetic Correlation ◽  
Genetic Parameters ◽  
Genetic Evaluation ◽  
The Other ◽  
Breeding Value ◽  
Value Analysis ◽  
Breeding Values ◽  
Angus Cattle ◽  
Six Traits

The advantages of using a univariate threshold animal model (TAM) over the conventional linear animal model (AM) in the development of a genetic evaluation system for feet and leg traits of Angus cattle were explored. The traits were scored on a scale of 1–9 with scores 5 and 6 being the most desirable. The genetic parameters and estimated breeding values for front feet angle (FA), rear feet angle (RA), front feet claw set (FC), rear feet claw set (RC), rear leg hind view (RH) and rear leg side view (RS) were compared from AM and TAM. In order to predict breeding values to identify the animals with intermediate optimum, the scores were categorised to form three groups to differentiate the desirable group (5–6) from the other two groups with less desirable feet and leg appearances (1–4 and 7–9). The AM and TAM were used to estimate genetic parameters for the grouped data as well as the original score data. A TAM using the group data was used to predict the probability and breeding value for the desirable intermediate group. For the original score data, estimated heritabilities on the underlying scale, using TAM, were 0.50, 0.46, 0.35, 0.44, 0.32 and 0.22 for FA, FC, RA, RC, RH and RS, respectively, and were 0.01–0.18 higher than the heritabilities estimated using AM. Genetic correlation between the six traits using a bivariate TAM with all scores ranged from 0.02 to 0.50 with front and rear angles had the highest genetic correlation at 0.50. For all six traits, proportion in the intermediate desirable group was higher than the other two groups combined. The low annual genetic change observed for all six traits over the 10 years of data recording reflected the lack of directional selection to improve the traits in Angus cattle. For genetic evaluation of feet and leg traits with an intermediate optimum, TAM is a preferred method for estimating genetic parameters and predicting breeding values for the desirable category. The TAM has now been implemented for regular estimated breeding value analysis of feet and leg traits of Angus cattle.

scholarly journals Genetic parameter of birth and weaning weights for Friesian calves by using an animal model

2005 ◽  
Vol 48 (3) ◽  
pp. 261-269 ◽  
Author(s):  
H. Atil ◽  
A. S. Khattab ◽  
L. Badawy
Keyword(s):  
Animal Model ◽  
Birth Weight ◽  
Fixed Effects ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Likelihood Method ◽  
Multiple Trait ◽  
Breeding Values ◽  
Heritability Estimates ◽  
Maternal Heritability

Abstract. Birth and weaning weights of 556 Friesian calves by 41 sires out of 318 different dams over a 11 years period were obtained from a herd of Friesian in Sakha Experimental Farm, Ministry of Agriculture, Egypt were used. The records were analyzed by Multiple Trait Likelihood Method (MTDFREML) by using a repeatability animal model (BOLDMAN et al., 1995). Convergence was attained after 699 iterations. The fixed effects included in the model were season and year of calving, parity and sex and the random effects were direct and maternal genetic, permanent maternal environmental and error. Direct heritability estimates for birth weight (BW) and weaning weight (WW) are 0.28 and 0.13, respectively, while, maternal heritability estimates for the same traits are 0.14 and 0.06, respectively. Repeatability estimates are 0.75 and 0.15 for BW and WW, respectively. Phenotypic and genetic correlations are 0.89 and 0.80, respectively. Estimates of calve breeding values ranged from −3.12 to 4.11 kg for BW and ranged from −4.10 to 5.11 kg for WW. Sire breeding values ranged from −3.40 to 2.99 kg for BW and ranged from −2.50 to 4.47 kg for WW. Dam breeding values ranged from −6.80 to 5.54 kg for BW and ranged from -6.10 to 6.39 kg for WW.

scholarly journals Genetic parameters for worm resistance in Santa Inês sheep using the Bayesian animal model

2021 ◽  
Vol 34 (2) ◽  
pp. 185-191
Author(s):  
Francelino Neiva Rodrigues ◽  
José Lindenberg Rocha Sarmento ◽  
Tânia Maria Leal ◽  
Adriana Mello de Araújo ◽  
Luiz Antonio Silva Figueiredo Filho
Keyword(s):  
Cluster Analysis ◽  
Animal Model ◽  
Bayesian Inference ◽  
Genetic Correlation ◽  
Genetic Parameters ◽  
Multiple Trait ◽  
Multivariate Cluster Analysis ◽  
Trait Model ◽  
Santa Inês ◽  
Multivariate Cluster

Objective: The objective of this study was to estimate the genetic parameters for worm resistance (WR) and associated characteristics, using the linear-threshold animal model via Bayesian inference in single- and multiple-trait analyses.Methods: Data were collected from a herd of Santa Inês breed sheep. All information was collected with animals submitted to natural contamination conditions. All data (number of eggs per gram of feces [FEC], Famacha score [FS], body condition score [BCS], and hematocrit [HCT]) were collected on the same day. The animals were weighed individually on the day after collection (after 12-h fasting). The WR trait was defined by the multivariate cluster analysis, using the FEC, HCT, BCS, and FS of material collected from naturally infected sheep of the Santa Inês breed. The variance components and genetic parameters for the WR, FEC, HCT, BCS, and FS traits were estimated using the Bayesian inference under the linear and threshold animal model.Results: A low magnitude was obtained for repeatability of worm-related traits. The mean values estimated for heritability were of low-to-high (0.05 to 0.88) magnitude. The FEC, HCT, BCS, FS, and body weight traits showed higher heritability (although low magnitude) in the multiple-trait model due to increased information about traits. All WR characters showed a significant genetic correlation, and heritability estimates ranged from low (0.44; single-trait model) to high (0.88; multiple-trait model).Conclusion: Therefore, we suggest that FS be included as a criterion of ovine genetic selection for endoparasite resistance using the trait defined by multivariate cluster analysis, as it will provide greater genetic gains when compared to any single trait. In addition, its measurement is easy and inexpensive, exhibiting greater heritability and repeatability and a high genetic correlation with the trait of resistance to worms.

scholarly journals Effektivität der Zuchtwertschätzung mit transformierten Daten, überprüft mit Mutter-Töchter-Paaren eines Wachtelexperimentes

2000 ◽  
Vol 43 (3) ◽  
pp. 299-310
Author(s):  
N. Mielenz ◽  
E. Dittmar ◽  
L. Schüler
Keyword(s):  
Egg Production ◽  
Original Data ◽  
Genetic Evaluation ◽  
Biological Data ◽  
Production Traits ◽  
Multiple Trait ◽  
Breeding Values ◽  
Normal Distributions ◽  
Laying Performance ◽  
Estimation Of Variance

Abstract. Title of the paper: Effectiveness of genetic evaluation with transformed data by using dam-daughter pairs of Japanese quails In estimation of variance components with REML it has been assumed that the data were normally distributed. Egg production traits of poultry have been shown to exhibit markedly non-normal distributions. In this study, six traits from an unselected quail line were analysed. The original data were transformed using the well-established power transformation to approach normality. The genetic evaluation was carried out with a multipletrait animal model, based on transformed and untransformed data, respectively. Two traits of laying performance, of egg weight and body weight were analysed simultaneously. To compare the efficiency of breeding values the method of simulated selection with biological data (dam-daughter pairs) was used. To select the dams with intensities between 10% and 90% we used individual records and BLUP-breeding values, estimated with transformed and untransformed data. The response of such a selection was estimated using the corresponding daughter records. Only for the trait laying Performance up to 200 days of life we could indicate an advantage of the transformation. It was shown, that by changing from one trait to multiple-trait genetic evaluation non-normality could be compensate. For 10% intensity the selection for individual laying performance provided an unexpected high response in comparing with the BLUP-method.

Sign in / Sign up

Export Citation Format

Share Document