scholarly journals Genetic parameters and environmental effects on temperament score and reproductive traits of Nellore cattle

animal ◽  
2012 ◽  
Vol 6 (1) ◽  
pp. 36-40 ◽  
Author(s):  
D. Barrozo ◽  
M.E. Buzanskas ◽  
J.A. Oliveira ◽  
D.P. Munari ◽  
H.H.R. Neves ◽  
...  
Keyword(s):  
Environmental Effects ◽  
Genetic Parameters ◽  
Reproductive Traits ◽  
Nellore Cattle

scholarly journals   Estimation of genetic parameters of reproductive traits in Zandi sheep using linear and threshold models

2012 ◽  
Vol 57 (No. 8) ◽  
pp. 382-388 ◽  
Author(s):  
H. Mohammadi ◽  
M. Moradi Shahrbabk ◽  
M. Vatankhah
Keyword(s):  
Environmental Effects ◽  
Fixed Effects ◽  
Strong Influence ◽  
Genetic Parameters ◽  
Reproductive Traits ◽  
Linear Analysis ◽  
Threshold Analysis ◽  
Selection Indexes ◽  
Estimation Of Genetic Parameters ◽  
Zandi Sheep

Genetic parameters for reproductive traits in Zandi sheep were estimated from data records of 5025 lambs from 178 sires and 1967 dams collected between the years 1993 and 2010 using ASReml statistical package. Genetic parameters were estimated for four basic and two composite traits. Year of lambing and age of ewe were used as fixed effects. Due to repeated record of ewe animal direct genetic effects and permanent environmental effects were considered random. The heritability estimates for conception rate, number of lambs born, number of lambs born alive, number of lambs alive at weaning, number of lambs born per ewe exposed, and number of lambs weaned per ewe exposed were low with linear model – 0.05, 0.14, 0.12, 0.09, 0.05, and 0.04 respectively while the estimates resulting from threshold analysis were 0.11, 0.19, 0.14, 0.16, 0.12, and 0.11, respectively. Estimates of heritabilities for animal genetic and permanent environmental effects were low mainly due to the typical strong influence of environmental factors on reproductive traits. Estimates of repeatabilities for animal permanent environmental effects were low to medium by linear analysis, and medium by threshold analysis. These estimates of genetic parameters may provide a basis for deriving selection indexes for reproductive traits.  

scholarly journals Estimates of genetic parameters for carcass, growth and reproductive traits in Nellore cattle

2013 ◽  
Vol 155 (1) ◽  
pp. 1-7 ◽  
Author(s):  
S.L. Caetano ◽  
R.P. Savegnago ◽  
A.A. Boligon ◽  
S.B. Ramos ◽  
T.C.S. Chud ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Reproductive Traits ◽  
Nellore Cattle

scholarly journals Bayesian inference of genetic parameters for reproductive and performance traits in White Leghorn hens

2018 ◽  
Vol 63 (No. 6) ◽  
pp. 230-236 ◽  
Author(s):  
J.O. Rosa ◽  
G.C. Venturini ◽  
T.C.S. Chud ◽  
B.C. Pires ◽  
M.E. Buzanskas ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Fixed Effects ◽  
Egg Production ◽  
Genetic Parameters ◽  
Laying Hens ◽  
Reproductive Traits ◽  
A Posteriori ◽  
White Leghorn ◽  
Performance Traits ◽  
And Performance

This study estimated the genetic parameters for reproductive and performance traits and determined which ones can be used as selection criteria for egg production in laying hens using the Bayesian inference. The data of 1894 animals from three generations of White Leghorn laying hens were analyzed for fertility (FERT), hatchability (HATC), and birth rate measurements at 60 weeks of age (BIRTH), body weight at 16 and 60 weeks of age (BW16 and BW60), age at sexual maturity (ASM), egg height/width ratio, weight, and density at 28, 36, and 40 weeks of age (RHW28, RHW36, RHW40, WEGG28, WEGG36, WEGG40, DENS28, DENS36, and DENS40, respectively) traits. The genetic parameters were estimated by the Bayesian inference method of multi-trait animal model. The model included the additive and residual genetic random effects and the fixed effects of generation. The a posteriori mean distributions of the heritability estimates for reproductive traits ranged from 0.14 ± 0.003 (HATC) to 0.22 ± 0.005 (FERT) and performance from 0.07 ± 0.001 (RHW28) to 0.42 ± 0.001 (WEGG40). The a posteriori mean distributions of the genetic correlation between reproductive traits ranged from 0.18 ± 0.026 (FERT and HACT) to 0.79 ± 0.007 (FERT and BIRTH) and those related to performance ranged from –0.49 ± 0.001 (WEGG36 and DENS36) to 0.75 ± 0.003 (DENS28 and DENS36). Reproductive and performance traits showed enough additive genetic variability to respond to selection, except for RHW28. This trait alone would have little impact on the genetic gain because environmental factors would have a higher impact compared to those from the additive genetic factors. Based on the results of this study, the selection applied on the BIRTH trait can be indicated to improve FERT and HATC of eggs. Furthermore, the use of the WEGG40 could improve egg quality in this population.

scholarly journals Genetic correlations between mature cow weight and productive and reproductive traits in Nellore cattle

2012 ◽  
Vol 11 (3) ◽  
pp. 2979-2986 ◽  
Author(s):  
I.C. Regatieri ◽  
A.A. Boligon ◽  
F. Baldi ◽  
L.G. Albuquerque
Keyword(s):  
Genetic Correlations ◽  
Reproductive Traits ◽  
Nellore Cattle

Genetic parameters for growth, puberty, and beef cow reproductive traits in a puberty selection experiment

2000 ◽  
Vol 43 (1) ◽  
pp. 83-91 ◽  
Author(s):  
C. A. Morris ◽  
J. A. Wilson ◽  
G. L. Bennett ◽  
N. G. Cullen ◽  
S. M. Hickey ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Reproductive Traits ◽  
Selection Experiment ◽  
Beef Cow

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.

Genetic parameters of reproductive traits in male and female North African catfish, Clarias gariepinus (Burchell, 1822)

Aquaculture ◽  
2019 ◽  
Vol 513 ◽  
pp. 734431 ◽  
Author(s):  
Witsanu Srimai ◽  
Skorn Koonawootrittriron ◽  
Wiroon Manee-aphai ◽  
Prapaiphan Chaivichoo ◽  
Anake Phu-onnim ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Clarias Gariepinus ◽  
Reproductive Traits ◽  
African Catfish ◽  
North African ◽  
Male And Female

Autoregressive repeatability model for genetic evaluation of longitudinal reproductive traits in dairy cattle

2020 ◽  
Vol 87 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Hugo T. Silva ◽  
Paulo S. Lopes ◽  
Claudio N. Costa ◽  
Fabyano F. Silva ◽  
Delvan A. Silva ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Environmental Effects ◽  
Rank Correlation ◽  
Reproductive Traits ◽  
Genetic Evaluation ◽  
Information Criteria ◽  
Ar Model ◽  
Genetic Progress ◽  
Data Set ◽  
Genetic Evaluations

AbstractWe investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two models. Overall, the proposed AR model was suitable for genetic evaluations of longitudinal reproductive traits in dairy cattle, outperforming the REP model.

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