Estimates of (co)variance components and genetic parameters for body weights and growth efficiency traits in the New Zealand white rabbit

The genetic parameters of growth traits in the New Zealand White rabbits kept at Sheep Breeding and Research Station, Sandynallah, The Nilgiris, India were estimated by partitioning the variance and covariance components. The (co)variance components of body weights at weaning (W42), post-weaning (W70) and marketing (W135) age and growth efficiency traits viz., average daily gain (ADG), relative growth rate (RGR) and Kleiber ratio (KR) estimated on a daily basis at different age intervals (42 to 70 d; 70 to 135 d and 42 to 135 d) from weaning to marketing were estimated by restricted maximum likelihood, fitting 6 animal models with various combinations of direct and maternal effects. Data were collected over a period of 15 yr (1998 to 2012). A log-likelihood ratio test was used to select the most appropriate univariate model for each trait, which was subsequently used in bivariate analysis. Heritability estimates for W42, W70 and W135 were 0.42±0.07, 0.40±0.08 and 0.27±0.07, respectively. Heritability estimates of growth efficiency traits were moderate to high (0.18 to 0.42). Of the total phenotypic variation, maternal genetic effect contributed 14 to 32% for early body weight traits (W42 and W70) and ADG1. The contribution of maternal permanent environmental effect varied from 6 to 18% for W42 and for all the growth efficiency traits except for KR2. Maternal permanent environmental effect on most of the growth efficiency traits was a carryover effect of maternal care during weaning. Direct maternal genetic correlations, for the traits in which maternal genetic effect was significant, were moderate to high in magnitude and negative in direction. Maternal effect declined as the age of the animal increased. The estimates of total heritability and maternal across year repeatability for growth traits were moderate and an optimum rate of genetic progress seems possible in the herd by mass selection. The genetic and phenotypic correlations among body weights and between growth efficiency traits were also estimated. Moderate to high heritability and higher genetic correlation in body weight traits promise good scope for genetic improvement provided measures are taken to keep the inbreeding at the lowest level.

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Estimates of (co)variance components and genetic parameters for growth traits in Suffolk lambs

Ciência Rural ◽

10.1590/s0103-84782013001200016 ◽

2013 ◽

Vol 43 (12) ◽

pp. 2215-2220 ◽

Cited By ~ 6

Author(s):

Priscilla Regina Tamioso ◽

Jaime Luiz Alberti Filho ◽

Laila Talarico Dias ◽

Rodrigo de Almeida Teixeira

Keyword(s):

Maternal Effects ◽

Variance Components ◽

Genetic Parameters ◽

Growth Traits ◽

Genetic Effect ◽

Additive Genetic Effect ◽

Ratio Test ◽

Effect Model ◽

Estimate Heritability ◽

Heritability Estimates

The study aimed to estimate the components of (co)variance and heritability for weights at birth (BW), weaning (WW) and 180 days of age (W180), as well as the average daily gains from birth to weaning (ADG1), birth to 180 days of age (ADG2) and weaning to 180 days of age (ADG3) in Suffolk sheep. Thus, three different single-trait animal models were fitted, considering the direct additive genetic effect (Model 1), the direct additive genetic and maternal permanent environmental effects (Model 2), and in Model 3, in addition to those in Model 2, the maternal additive genetic effect was included. After comparing models through the likelihood ratio test (LRT), model 3 was chosen as the most appropriate to estimate heritability for BW, WW and ADG1. Model 2 was considered as the best to estimate the coefficient of heritability for W180 and ADG2, and model 1 for ADG3. Direct heritability estimates were inflated when maternal effects were ignored. According to the most suitable models, the heritability estimates for BW, WW, W180, ADG1, ADG2 and ADG3 were 0.06, 0.08, 0.09, 0.07, 0.08 and 0.07, respectively, indicating low possibility of genetic gain through individual selection. The results show the importance of including maternal effects in the models to properly estimate genetic parameters even at post-weaning ages.

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Estimation of genetic parameters for body weight traits and litter size of Moghani sheep, using a Bayesian approach via Gibbs sampling

The Journal of Agricultural Science ◽

10.1017/s0021859610000080 ◽

2010 ◽

Vol 148 (3) ◽

pp. 363-370 ◽

Cited By ~ 15

Author(s):

N. GHAVI HOSSEIN-ZADEH ◽

M. ARDALAN

Keyword(s):

Body Weight ◽

Gibbs Sampling ◽

Litter Size ◽

Genetic Parameters ◽

Growth Traits ◽

Genetic Correlations ◽

Genetic Effect ◽

Residual Effects ◽

Pedigree Information ◽

Body Weights

SUMMARYThe objective of the present study was to estimate genetic parameters for body weights at different ages and litter size (LS) in Moghani sheep. Traits included were birth weight (BW), 3 months weight (3MW), 6 months weight (6MW), 9 months weight (9MW), yearling weight (YW) and LS. The data of 6659 lambing records and pedigree information used in the current programme were collected at the Breeding Station of Moghani sheep (Ardebil province, Iran) during 1987–2005. Different linear and threshold animal models with additive genetic, maternal genetic, maternal permanent environmental and residual effects were implemented by Gibbs sampling (GS) methodology. A single GS chain with 150 000 rounds was generated by the MTGSAM program. The posterior means of genetic parameters were estimated based on the 1300 samples that were left after elimination of 20 000 rounds in the burn-in period and 100 rounds of each thinning interval. Posterior mean estimates of direct heritability were 0·29, 0·13, 0·14, 0·10, 0·31 and 0·10, while those of maternal heritabilities were 0·29, 0·08, 0·11, 0·06, 0·10 and 0·17 for BW, 3MW, 6MW, 9MW, YW and LS, respectively. Genetic correlations among the growth traits and LS were negative for direct genetic and maternal genetic effects. Therefore, selection for increased growth or LS may have a negative genetic effect on the other traits. The medium to high negative estimates of direct–maternal correlations for body weight traits or LS suggest that it would be difficult to improve direct and maternal growth ability jointly for Moghani sheep.

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EFFECT OF FIXED FACTORS AND ESTIMATION OF GENETIC PARAMETERS OF GROWTH TRAITS FOR MOUNTAIN KIDS

IRAQI JOURNAL OF AGRICULTURAL SCIENCES ◽

10.36103/ijas.v50i6.843 ◽

2019 ◽

Vol 50 (6) ◽

Author(s):

Hermiz & Baper

Keyword(s):

Variance Components ◽

Fixed Effects ◽

Genetic Parameters ◽

Maximum Likelihood Method ◽

Growth Traits ◽

Genetic Correlations ◽

Likelihood Method ◽

Phenotypic Correlations ◽

Body Weights ◽

Genetic And Phenotypic Correlations

Body weights at birth (469), weaning (394) and at six month of age (358) for kids utilized in this study were raised at private project in Duhok governorate, Iraq during two kidding season (2016-2017) and (2017-2018). GLM within SAS programme was used to analyze the data which include the fixed effects (age of doe, year and season of kidding, sex of kid and type of birth, regression on doe weight at kidding, and the regression of later weights of kids on earlier weights) influencing the studied traits. Restricted Maximum Likelihood Method was used to estimate repeatability, heritability, genetic and phenotypic correlations after adjusting the records for fixed effects. Variance components of random effects were tested for positive definite. Overall mean of weights at birth (BWT), weaning (WWT) and 6 month of age (WT6M) were 2.92, 15.32 and 24.45 kg, respectively. Differences among groups of age of doe in all studied traits were not significant, while year of kidding and sex of kid affect all traits significantly (p<0.01). Season of kidding affect BWT and WWT significantly (P<0.01). Single born kids were heavier (P<0.01) than twins in BWT only. Regression of BWT on doe weight at kidding (0.033 kg/kg) was significant (P<0.01), while the regressions of WWT and WT6M were not significant. The regression coefficients of WWT on BWT (1.906 kg/kg) and of WT6M on WWT (0.835 kg/kg) were highly significant (P<0.01). Repeatability estimates for BWT, WWT and WT6M were 0.47, 0.45 and 0.35, respectively; on the same order the estimates of heritability were 0.41, 0.61 and 0.79. Genetic correlations between BWT with each of WWT (0.45) and WT6M (0.55), and between WWT and WT6M (0.68) were highly significant. All phenotypic correlations between each pair of body weights were higher than genetic correlations and ranged between 0.48 and 0.73.

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Genetic parameters of body weight in japanese quails (Coturnix japonica Temminck & Schlegel, 1849) in the Philippines

Annals of Tropical Research ◽

10.32945/atr4216.2020 ◽

2020 ◽

pp. 72-78

Author(s):

Angie Poliquit

Keyword(s):

Body Weight ◽

Genetic Parameters ◽

Additive Genetic Variance ◽

Genetic Correlations ◽

The Philippines ◽

Japanese Quails ◽

Randomized Design ◽

Body Weights ◽

Reproduction Traits ◽

Heritability Estimates

The establishment of breeding and selection programs to improve the genetic potential of poultry necessitates estimation of genetic parameters for different production and reproduction traits, Restricted maximum likelihood (REML) software was used to estimate the heritability (h2) and genetic correlations (r) of body weights in Japanese quails (C. japonica) from hatch to fifth week of age. A total of 224 Japanese quails composed of 56 males and 168 females arranged in a Completely Randomized Design (CRD) served as the base population. Body weight records, measured weekly from hatch to fifth week, were utilized to estimate the genetic parameters. Heritability estimates were 0.093±0.004, 0244±0.010, 0.031±0.001, 0082±0.004, 0325±0.016 and 0.025±0.001 for body weights at hatch (BW0), first week (BW1), second week (BW2), third week (BW3), fourth week (BW4) and fifth week (BW5), respectively. Low heritability estimates depict a decrease in additive genetic variance as the generations progressed. Negative genetic correlation was found between BW0 and BW4 (r=- 0.027). The significant positive genetic correlations of BW0 with BW1 (r=0.271); BW1 with BW2 (r=0.270), BW3 (r=0.294), BW4 (r=0.255), and BW5 (r=0.243); BW2 with BW3 (r=0.561), BW4 (r=0.649), and BW5 (r=0.503); BW3 with BW4 (r=0.726), and BW5 (r=0.551); and BW4 with BW5 (r=0.689) are expected to bring correlated responses in the other traits.

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Estimation of variance components and genetic parameters for growth traits in New Zealand White rabbit (Oryctolagus cuniculus)

Journal of Applied Animal Research ◽

10.1080/09712119.2011.645037 ◽

2012 ◽

Vol 40 (2) ◽

pp. 167-172 ◽

Cited By ~ 2

Author(s):

M.S. Dige ◽

A. Kumar ◽

P. Kumar ◽

P.P. Dubey ◽

B. Bhushan

Keyword(s):

New Zealand ◽

Variance Components ◽

Oryctolagus Cuniculus ◽

Genetic Parameters ◽

Growth Traits ◽

Zealand White Rabbit ◽

New Zealand White Rabbit ◽

Estimation Of Variance

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Use of individual race results in the estimation of genetic parameters of trotting performance for Finnhorse and Standardbred trotters

Agricultural and Food Science ◽

10.23986/afsci.5635 ◽

1999 ◽

Vol 8 (4-5) ◽

pp. 353-363 ◽

Cited By ~ 11

Author(s):

T. THUNEBERG-SELONEN ◽

J. PÖSÖ ◽

E. MÄNTYSAARI

Keyword(s):

Animal Model ◽

Maximum Likelihood ◽

Variance Components ◽

Fixed Effects ◽

Environmental Effect ◽

Genetic Parameters ◽

Genetic Effect ◽

Additive Genetic Effect ◽

Performance Traits ◽

Estimation Of Genetic Parameters

The heritability and repeatability for trotting performance traits were estimated from individual race results. Data comprised of records from 1991 to 1995 for 4808 Finnhorses and from 1993 to 1995 for 5869 Standardbred trotters. The statistical model included the additive genetic effect of an animal and two permanent environmental effects, and the fixed effects of sex, age, starting method*starting lane combination, driver and race. The first permanent environmental effect described repeatability over a horses career while the second one characterized repeatability within a racing year. Variance components for three trotting performance traits were estimated by the animal model and the method of restricted maximum likelihood (REML). Heritability and repeatability estimates were moderately high for time at finish (h 2 =0.230.28 and r=0.500.57), moderate for ranking within a race (h 2 =0.12 and r=0.25) and low for earnings (h 2 =0.050.09 and r=0.150.18). Time at finish seemed to be the most usable measure of trotting performance because of its wide information substance. However, time at finish does not take into account records of disqualified horses or of those which did not finish, but use of earnings, either from individual race results or preferably from annual records, is one possible way to consider records of such horses.;

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Genotype, sex and interaction effect on lamb growth traits

Biotechnology in Animal Husbandry ◽

10.2298/bah1501037p ◽

2015 ◽

Vol 31 (1) ◽

pp. 37-44 ◽

Cited By ~ 1

Author(s):

V.C. Petrovic ◽

M.P. Petrovic ◽

D. Ruzic-Muslic ◽

N. Maksimovic ◽

M Selionova ◽

...

Keyword(s):

Body Weight ◽

Growth Traits ◽

High Growth ◽

Growth Efficiency ◽

Meat Production ◽

Genotype 1 ◽

Genotype 4 ◽

Genotype 2 ◽

Body Weights ◽

The Impact

The pure breeds and crossing have an important role in production. It is essential in sheep meat production to maintain the genetic diversity of the adapted breeds, pure breeds and their crosses. Objective of the study is to determine the impact of genotype and sex on growth traits of lambs. Results of the study showed that male of all genotypes were dominant on body weight in all ages (from BWB to BW90). The highest birth weight (BWB) got male of genotype 2 (W). The lowest body weight at birth was the female lambs of genotype 1 (P). Body weights at ages 30, 60 and 90 days, male and female of genotype 4 (PxWxF) were dominant among other genotypes. Genotype 1 (P) of both sexes had the lowest bodyweights in all ages (BWB, BW30, BW60, BW90). The result showed better growth efficiency from males compared with females. The results of fixed factors and its impact on body weights of lambs showed very significant effect of genotype (P<0.01) on body weights of lambs at birth (BWB), ages 30, 60 and 90 days (BW30, BW60, BW90). The effect of sex had highly significant effects (P<0.001) on all ages. The interaction between genotype x sex showed a very significant effect (P?0.01) on body weight at birth (BWB) but were not significant (P?0.05) on body weights of lambs at ages BW30, BW60 and BW90. Superiority on growth traits of genotype 4 (PxWxF) at ages 30, 60 and 90 days, indicating that three-bred crossing resulted in high growth traits.

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Assessment of Genetic Relationships between Growth Traits and Milk Yield in Egyptian Buffaloes

Jurnal Ilmu Ternak dan Veteriner ◽

10.14334/jitv.v24i4.2034 ◽

2019 ◽

Vol 24 (4) ◽

pp. 143

Author(s):

Ibrahim Abu El- Naser

Keyword(s):

Body Weight ◽

Milk Yield ◽

Genetic Parameters ◽

Growth Traits ◽

Genetic Relationships ◽

Genetic Correlations ◽

Live Body Weight ◽

Body Weights ◽

Production Research ◽

Maternal Heritability

Data in this study were collected from live body weight records and milk yield for the first three lactations of Egyptian buffaloes maintained at the Mahallet Mousa Experimental Station of Animal Production Research Institute, relying on 987 records of Egyptian buffaloes spread over 16 years. These data were analyzed to estimate genetic parameters using animal model. Overall means in kilograms of BW, WW, W18, WFC, 1stMY, 2ndMY and 3rdMY were 36.56, 96.95, 322.02, 462.09, 1561.53, 1755 and 1837.71, respectively. Direct additive heritability (h2a) for mentioned traits were 0.31, 0.22, 0.24, 0.27, 0.23, 0.23 and 0.17, respectively. Corresponding computation of maternal heritability (h2m) for same traits were 0.39, 0.34, 0.22, 0.40, 0.29, 0.31 and 0.21, respectively. Evaluation of genetic correlations among different all studied traits were positive and ranged from 0.07 to 0.83, while phenotypic correlations were positive and ranged from 0.02 to 0.55. Accuracy of (PBV's) varying from 62 to 76, 62 to 83 and 41 to 77% for sires, cows and dams, successively; pointing out the genetic improvement could be achieved through any pathway of them. Higher direct and maternal heritability for BW and WFC and genetic correlations between first three lactations milk yield and each of BW and WFC higher than genetic correlations between first three lactations milk yield and WW and W18. Therefore, it is appropriate to select buffalo female calves for live body weight at birth than for live body weights at other ages.

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Genetic evaluation of body weight traits in Iranian native Ghezel sheep

Genetika ◽

10.2298/gensr1801275b ◽

2018 ◽

Vol 50 (1) ◽

pp. 275-284 ◽

Cited By ~ 1

Author(s):

H. Baneh ◽

J. Ahmadpanah

Keyword(s):

Body Weight ◽

Genetic Parameters ◽

Growth Traits ◽

Univariate Analysis ◽

Genetic Effect ◽

Additive Genetic Effect ◽

Pedigree Information ◽

Breeding Values ◽

Maternal Heritability ◽

Genetic Trends

The aim of the current study was to estimate genetic parameters and trends for body weight traits at different ages in Ghezel lambs. Traits included were birth weight (BW), 3-month weight (3MW), 6-month weight (6MW), 9-month weight (9MW), and yearling weight (YW). Data and pedigree information used in the present study were collected at the Breeding Station of Ghezel sheep during 1986-2009. (Co) variance components were estimated using REML procedure and breeding values of animals were predicted with Best Linear Unbiased Prediction (BLUP) methodology under univariate analysis. Three different animal models were fitted. The models consisted of the direct additive genetic effect but differed in combinations of maternal additive genetic and maternal permanent environmental effects. Genetic trends for each trait were obtained by regressing the means of predicted breeding values on year of birth. The estimates of direct heritability were 0.285, 0.371, 0.388, 0.450 and 0.179, respectively. Also, the maternal heritability was estimated 0.113, 0.031, 0.021 and 0.030 for BW, WW, 6MW and 9MW, respectively. Direct genetic trends were positive and significant for BW, WW, 6MW (p<0.01), 9MW and YW (p<0.05) and were obtained 2.34, 46.20, 55.11, 33.40 and 24.01 (g/year), respectively. Also, maternal trends for BW, WW, 6MW and YW were positive and highly significant (p<0.01) and were 3.37, 17.05, 12.56 and 16.30 (g/year), respectively. The results indicated that considering maternal effects in the statistical model make accurate estimates of genetic parameters. Also, improvement of growth traits in Ghezel sheep seems to be likely in selection programs.

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