scholarly journals Bayesian Inference of Genetic Parameters for Retained Placenta and Dystocia Traits in Foka Dairy Farm

2018 ◽  
Vol 9 (19) ◽  
pp. 93-101
Author(s):  
Amin Mortazavi ◽  
Mostafa Ghaderi-Zefrehei ◽  
Azadeh Torabi ◽  
Kolsum Amiri-Zakht ◽  
Farhad Samadian ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Genetic Parameters ◽  
Dairy Farm ◽  
Retained Placenta

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 Evaluation of Reproductive and Metabolic Disorders and Displaced Abomasum in Czech Holstein Cows

2019 ◽  
Vol 67 (4) ◽  
pp. 939-946
Author(s):  
Eva Kašná ◽  
Petr Fleischer ◽  
Ludmila Zavadilová ◽  
Soňa Šlosárková
Keyword(s):  
Metabolic Disorders ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Health Data ◽  
Genetic Evaluation ◽  
Holstein Cows ◽  
Retained Placenta ◽  
Cystic Ovary ◽  
On Line ◽  
Parturient Paresis

We estimated the genetic parameters of the most frequent reproductive and metabolic disorders as recorded on‑line by 55 milk producers in Czech Holstein cows in the Diary of Diseases and Treatments. The dataset covered the period from July 2015 to May 2019. The coefficients of heritability were estimated for retained placenta (h2 = 0.01), metritis (h2 = 0.04), endometritis (h2 = 0.03), cystic ovary disease (h2 = 0.03), parturient paresis (h2 = 0.01), ketosis (h2 = 0.01) and displaced abomasum (h2 = 0.03). Positive genetic correlations different from 0 were estimated between parturient paresis and displaced abomasum (rg1g2 = 0.75), retained placenta and metritis (rg1g2 = 0.61), displaced abomasum and endometritis (rg1g22 = 0.49), metritis and endometritis (rg1g2 = 0.45), and metritis and displaced abomasum (rg1g2 = 0.41). Because each farmer recorded a slightly different portfolio of health data, the genetic correlations with metabolic disorders couldn’t be estimated in most cases, since the number of observations was not sufficient.

scholarly journals Genetic parameters for five traits in Africanized honeybees using Bayesian inference

2013 ◽  
Vol 36 (2) ◽  
pp. 207-213 ◽  
Author(s):  
Alessandro Haiduck Padilha ◽  
Aroni Sattler ◽  
Jaime Araújo Cobuci ◽  
Concepta Margaret McManus
Keyword(s):  
Bayesian Inference ◽  
Genetic Parameters ◽  
Africanized Honeybees

Genetic parameters and selection of maize cultivars using Bayesian inference in a multi-trait linear model

2019 ◽  
Vol 69 (6) ◽  
pp. 465-478
Author(s):  
Jan Bocianowski ◽  
Kamila Nowosad ◽  
Piotr Szulc ◽  
Anna Tratwal ◽  
Ewa Bakinowska ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Linear Model ◽  
Genetic Parameters ◽  
Maize Cultivars ◽  
Selection Of

scholarly journals Editing and modeling of milk production data for genetic evaluation of Murrah buffaloes

2017 ◽  
Vol 52 (12) ◽  
pp. 1261-1267
Author(s):  
Andréa Carolina Santos de Souza ◽  
Marcos Paulo Gonçalves de Rezende ◽  
Paulo Luiz Souza Carneiro ◽  
Bárbara Machado Campos ◽  
Carlos Henrique Mendes Malhado
Keyword(s):  
Bayesian Inference ◽  
Milk Production ◽  
Genetic Parameters ◽  
Genetic Evaluation ◽  
The Other ◽  
Production Data ◽  
Lactation Period ◽  
Genetic Progress ◽  
Murrah Buffaloes ◽  
Heritability Estimates

Abstract: The objective of this work was to assess the effect of editing and modeling of milk production data for genetic evaluation of Murrah buffaloes. Six strategies for evaluating milk production were analyzed: observed milk production (OMP); adjustment of milk production data to 305 (MP305) and 270 (MP270) days of lactation; removal of the 5 (MP5%) and 10% (MP10%) shortest lactation periods; and milk production along the lactation period as linear covariate (MPCO). Genetic parameters were estimated using the Bayesian inference, with heritability estimates of 0.19 to 0.23 and repeatability estimates of 0.35 to 0.36. Sires classified by OMP were high correlated to those classified by the other models, however, correlations to MP270, MP305 and MPCO decreased when considering only the best 20% sires. OMP showed greater differences in absolute mean deviations when compared with MPCO, MP270 and MP305. The strategies of analysis had similar heritabilities and stabilities. However, changes in the ranking of sires with better classifications, due to overestimation of genetic values, as occurred in the models MP305, MP270 and MPCO, may lead to a decrease in the genetic progress of the herd.

scholarly journals Estimation of genetic parameters for milk yield in Murrah buffaloes by Bayesian inference

2010 ◽  
Vol 93 (2) ◽  
pp. 784-791 ◽  
Author(s):  
F.C. Breda ◽  
L.G. Albuquerque ◽  
R.F. Euclydes ◽  
A.B. Bignardi ◽  
F. Baldi ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Milk Yield ◽  
Genetic Parameters ◽  
Murrah Buffaloes ◽  
Estimation Of Genetic Parameters

scholarly journals Influence of gestation length, seasonality, and calf sex on birth weight and placental retention in crossbred dairy cows

2020 ◽  
Vol 21 ◽  
Author(s):  
Estevão Vieira Rezende ◽  
Igor José Reis ◽  
Carla Cristian Campos ◽  
Ricarda Maria Santos
Keyword(s):  
Birth Weight ◽  
Dairy Cows ◽  
Dairy Farm ◽  
Minas Gerais ◽  
Gestation Length ◽  
Retained Placenta ◽  
Lactating Dairy Cows ◽  
Placental Membranes ◽  
The Mean

Abstract The objective of this study was to evaluate the influence of gestation length, season at calving (autumn-winter vs. spring-summer) and calf sex on birth weight and incidence of retained placenta (RP) in crossbred lactating dairy cows. A total of 187 parturitions were evaluated in a commercial dairy farm at Alto Paranaiba region, Minas Gerais, Brazil. Cows that did not release the placental membranes within the first 12 hours after calf expulsion were diagnosed with RP. At birth, calf sex was registered, and birth weight was estimated by using a weighing tape. The incidence of RP was 36.89% (69/187). The mean birth weight of the calves (41.73 kg) did not differ among the calf sexes and seasons of the year at birth (P > 0.05), but the cows with below-average gestation lengths (274.4 days) calved lighter calves. Furthermore, the season of the year at calving and calf sex had no influence on RP incidence (P > 0.05), although a higher incidence of RP was observed in cows that had shorter gestation lengths (49.44%) and calves below-average birth weights (51.76%). In conclusion, cows with shorter gestation lengths produce lighter offspring and have a high predisposition to RP.

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