scholarly journals Genetic parameters for growth traits in pigs estimated using third degree polynomial functions

1997 ◽  
Vol 6 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Marja-Liisa Sévon-Aimonen ◽  
Kristina Sternberg ◽  
Matti Ojala

A total of 8745 purebred Yorkshire and Landrace pigs extracted from Finnish progeny test station data was analysed. The pigs were weighed weekly during the test. A third degree polynomial function, age = f(weight), was fitted separately for each pig and was used to describe the growth patterns of individual pigs. Their live weight at the inflection point (LWip) was 72 kg, age at the inflection point (AGEip) 126 d, and maximum daily gain (DGmax) 1111 g/d, on average. The average daily gain from 30 to 90 kg (ADG30-90) was 957 g/d and in the smaller weight ranges (30 to 50, 50 to 70 and 70 to 90 kg) the average daily gains were 829, 1042 and 1046 g/d, respectively. Genetic parameters for growth and carcass traits were estimated using REML with an animal model. The heritability estimates (h2) for LWip , AGEip and ADG30-90 were 0.08, 0.33 and 0.23, respectively, and for smaller weight ranges from 0.14 to 0.21. Fast growing and lean animals had higher LWip than others and the rg between LWip and ADG30-90 DGmax and M% was 0.58, 0.73 and 0.57, respectively. The rg between ADG30-90 and M% was close to zero.

Author(s):  
A. Clinquart ◽  
C. Van Eenaeme ◽  
T. Van Vooren ◽  
J. Van Hoof ◽  
L. Istasse

The degree to which growth patterns are modified after a period of food restriction affects the compositional changes of the carcasses(Carstens et al., 1992), furthermore, the growth rate has a direct effect on the physical properties of meat (Fishell et al., 1985). The objective of this experiment was to evaluate the effects of a severe food restriction at a early stage of maturity on the slaughter characteristics and meat quality of Belgian Blue bulls.Twelve Belgian Blue bulls (dual purpose type) weighing 233 kg were offered two different planes of nutrition during the growing period. Six bulls (Group-) received a restricted diet so that their average daily gain was 0.34 kg/d (Group+) during 202 days. By contrast six other bulls were given a more conventional growing diet and their average daily gain was 1.13 kg/d. Both Groups were fattened with similar diet and slaughtered when the live weight was close to 600 kg. Carcass weight was measured and killing-out proportion calculated, the composition of the carcass was estimated after dissection of ribs 7, 8, 9 removed 48 h post-mortem.


2012 ◽  
Vol 52 (11) ◽  
pp. 1046 ◽  
Author(s):  
Hasan Baneh ◽  
Mojtaba Najafi ◽  
Ghodrat Rahimi

The present study was carried out to estimate variance components for growth traits in Naeini goats. Bodyweight records were collected for two flocks under supervision of the Agriculture Organisation of the Esfahan province between 2000 and 2007. Investigated traits were birthweight (BW; n = 2483), weaning weight (WW; n = 1211) and average daily gain from birth to weaning (ADG; n = 1211). Environmental effects were investigated using fixed-effect models, while (co)variance components and genetic parameters were estimated with single- and three-trait analyses using REML methods and WOMBAT software. Six different animal models were fitted to the traits, with the best model for each trait determined by log-likelihood ratio tests (LRT). All traits were significantly influenced by herd, birth year, sex of the kid, birth type and dam age (P < 0.01). On the basis of LRT, maternal permanent environmental effects (c2) were significant for WW and ADG, while BW was affected only by direct genetic effects. Direct heritability estimates for BW, WW and ADG were 0.25 ± 0.05, 0.07 ± 0.06 and 0.21 ± 0.11, respectively. The estimate of c2 was 0.16 ± 0.06 for both WW and ADG. Estimates of genetic correlation for BW–ADG, BW–WW and ADG–WW were 0.49, 0.61 and 0.94, respectively. The estimated phenotypic correlations were positive and were between 0.03 (BW–ADG) and 0.95 (ADG–WW). These results indicate that selection can be used to improve growth traits in this goat breed.


2012 ◽  
Vol 55 (6) ◽  
pp. 603-611 ◽  
Author(s):  
F. Ghafouri-Kesbi ◽  
H. Baneh

Abstract. The aim of the present study was to estimate (co)variance components and corresponding genetic parameters for birth weight (BW), weaning weight (WW), 6-month weight (W6), 9-month weight (W9), average daily gain from birth to weaning (WWDG), average daily gain from weaning to 6 months (W6DG) and average daily gain from 6 months to 9 months (W9DG) for a nucleus flock of Iranian Makooei sheep. Genetic parameters were estimated by REML procedure fitting six animal models including various combinations of maternal effects. The Akaike information criterion (AIC) was used to determine the most appropriate model. Estimates of direct heritability (h2) ranged from 0.13 (W6DG) to 0.32 (BW). Maternal effects were found to be important in the growth performance of the Makooei sheep, indicating the necessity of including maternal effects in the model to obtain accurate estimates of direct heritability. Estimates of maternal heritability (m2) ranged from 0.05 (W6) to 0.16 (WWDG) and the estimates of proportion of maternal permanent environmental variance to phenotypic variance (c2) were in the range between 0.05 (BW) and 0.10 (W6). Direct additive genetic correlations were positive in all cases and ranged from 0.00 (BW/W9DG) to 0.99 (WW/WWDG). Phenotypic correlations showed a broad range from −0.27 (WW/W9DG) to 0.99 (WW/WWDG). Estimates of genetic parameters showed that genetic improvement through selection programs is possible. WW would be a suitable selection criterion since it has acceptable direct heritability and relatively high genetic correlation with other traits.


2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 41-41
Author(s):  
Jorge Hidalgo ◽  
Shogo Tsuruta ◽  
Daniela Lourenco ◽  
Yijian Huang ◽  
Kent Gray ◽  
...  

Abstract Genomic selection increases intensity of selection and decreases generation interval. However, intensive selection reduces genetic variation and can strengthen undesirable genetic correlations. The purpose of this study was to investigate changes in genetic parameters of litter size (LS), number born alive (NBA), number born dead (NBD) and average daily gain (ADG) and weight at off-test (WT) in pigs over time. The data set contained 20,086 (LS), 21,230 (NBA), 21,230 (NBD), 144,717 (ADG) and 144,718 (WT) phenotypic records. Pedigree file included 369,776 animals born between 2001 and 2018, of which 39,038 were genotyped. Two trait models were evaluated (LS-ADG, LS-WT, NBA-ADG, NBA-WT, NBD-ADG and NBD-WT) using 3-year sliding subsets starting from 2010. Variance components and genetic parameters were estimated using GIBBS2F90 program. Computations were performed with (BLUP) or without (ssGBLUP) genotypes. For BLUP (ssGBLUP), the changes in heritability from 2010–2012 to 2015–2018 were 0.08 to 0.09 (0.08 to 0.06) for LS, 0.33 to 0.24 (0.37 to 0.16) for ADG, 0.11 to 0.07 (0.10 to 0.07) for NBD, and 0.32 to 0.24 (0.38 to 0.17) for WT. Differences were also observed for genetic correlations as they were -0.23 to -0.73 (-0.31 to -0.58) for LS-ADG, -0.24 to -0.74 (-0.31 to -0.50) for LS-WT, -0.33 to -0.65 (-0.41 to -0.53) for NBA-ADG, -0.35 to -0.66 (-0.42 to -0.45) for NBA-WT, 0.12 to 0.04 (0.12 to 0.16) for NBD-ADG, and 0.11 to 0.05 (0.11 to 0.22) for NBD-WT. Genomic selection in pigs reduced heritabilities and emphasized the antagonistic relationship that are under strong selection. Heritabilities estimated from ssGBLUP declined more than those by BLUP while changes in the genetic correlations were smaller and more gradual by ssGBLUP. Differences between ssGBLUP and BLUP could be caused by genomic pre-selection unaccounted for by BLUP.


2018 ◽  
Vol 43 (2) ◽  
pp. 94 ◽  
Author(s):  
W.P.B. Putra ◽  
P.P. Agung ◽  
S. Said

The aim of this study was to evaluate non-genetic factors and genetic parameters of the growth traits in Sumba Ongole (SO) cattle. The growth traits were consisted of birth weight (BW), weaning weight (WW), yearling weight (YW), average daily gain of pre-weaning (ADG1) and post-weaning (ADG2). Data from 143 heads of SO cattle (year 2011 to 2016) which raised at PT KAR were used in this study. Generalized Linear Model (GLM) analysis was performed to evaluate non-genetic effect including sex, year of birth, generation and season. Therefore, to evaluate genetic parameters, the heritability (h2) and genetic correlation (rg ) were performed using Paternal Halfshib Correlation method. The results showed that sex of calf had no significant effect (P>0.05) on BW, WW and YW, but year of birth had significant effect on those traits. The factor of season had significant effect on WW. The estimation of h2 values of growth traits were included high category (h2>0.30) and accurate (h2>SE) on BW (0.66±0.42), WW (0.65±0.44), YW (0.67±0.42), ADG1 (0.68±0.45) and ADG2 (0.70±0.43). The estimation of rg values were included high category (rg>0.50) and accurate (rg>SE) on BW-WW (0.87±0.63); BW-YW (0.95±0.87); ADG1-WW (0.99±0.34); WW-YW (0.98±0.48) and ADG1-YW (0.95±0.51). It was concluded that trait of WW could be used as selection criteria to increase YW trait in SO cattle. 


2011 ◽  
Vol 50 (No. 3) ◽  
pp. 96-103 ◽  
Author(s):  
J. Wolf ◽  
E. Žáková ◽  
E. Groeneveld

The covariance structure was estimated by REML for a joint genetic evaluation of production and reproduction traits for Czech Landrace (58 258 records) and Czech Large White (167 161 records) pigs using four-trait animal models. The following traits were analysed: lean mean percentage at the end of the performance test in the field, estimated from ultrasonic measurements unadjusted for live weight (LM), average daily gain in field test (in g/day) calculated as weight at the end of the test divided by age at the end of the test (ADG), number of piglets born alive in parity 1 (NBA1) and number of piglets born alive in parity 2 and subsequent parities (NBA2+). The heritabilities were in the range from 0.30 to 0.37 for LM, from 0.13 to 0.18 for ADG, from 0.09 to 0.13 for NBA1 and from 0.10 to 0.14 for NBA2+, depending on the breed and on the model (herd-year-season random or fixed). Genetic correlations between production and reproduction traits were estimated to be non-zero. Correlations between traits caused by the herd-year-season effect were mostly positive. As a general conclusion, the joint genetic evaluation of production and reproduction traits is recommended. The herd-year-season effect should be preferably considered as random. &nbsp;


2012 ◽  
Vol 52 (5) ◽  
pp. 321 ◽  
Author(s):  
Wenhui Li ◽  
Ian W. Purvis

Estimation of genetic parameters for growth traits of Gansu Alpine Finewool sheep that separately identify maternal effects has not been previously conducted. (Co)variance components and corresponding genetic parameters for lamb growth traits were estimated from Gansu Alpine Finewool sheep maintained at Gansu Sheep Breeding Technology Extension Station in north-western China. Records of 17 703 lambs at birth, born over 9 years (2000–2008) and sired by 315 rams, were used in the study. Birth type, sex, dam age, record age and birth year were fitted as fixed effects. Analyses were carried out using a restricted maximum likelihood procedure (ASReml). Six different animal models were fitted for all traits and the most appropriate model was selected through log-likelihood ratio testing. After identifying the appropriate model through single-trait analysis, bivariate analyses were used to obtain the phenotypic and genetic correlations among the growth traits. In addition to the direct genetic effect, and maternal genetic effects, significant negative correlations between direct genetic and maternal genetic effects were found for all the growth traits. The maternal permanent environmental effects were only significant for birthweight, weaning weight and pre-weaning growth rate. The estimates of direct heritability for birthweight, weaning weight, pre-weaning average daily gain, post-weaning average daily gain and yearling weight were 0.22, 0.16, 0.15, 0.27 and 0.19 respectively. The maternal heritability estimates were relatively high and ranged from 0.17 to 0.27. The study provides the breed and its associated finewool sheep industry with a more encompassing basis for designing more effective breeding programs for improvement of growth traits of Gansu Alpine Finewool sheep.


2005 ◽  
Vol 45 (8) ◽  
pp. 971 ◽  
Author(s):  
K. C. Prayaga ◽  
J. M. Henshall

Adaptability in tropical beef cattle can be assessed by measurable traits such as growth under the influence of environmental stressors, by parasite resistance as measured by indicator traits such as tick counts (TICK) and faecal egg counts of worms (EPG), by heat resistance as measured by indicator traits such as rectal temperatures (TEMP) and coat scores (COAT) and, to a certain extent, temperament of the animal as measured by flight time (FT). Data from a crossbreeding experiment involving various genotypes derived from tropically adapted British, Sanga-derived, Zebu cross, Zebu and Continental beef cattle breeds were analysed to estimate variance components and genetic parameters of growth, adaptive and temperament traits. Breed group differences were accounted for by including fractional coefficients of direct and maternal additive and dominance genetic effects as covariates. In the univariate analyses, 6 models were compared ranging from the simplest model with animal as the only random effect to the full model comprising direct and maternal additive genetic variance and their covariance and the permanent environment effect due to dam (growth traits) and animal (adaptive and temperament traits). The heritability estimates were 0.41, 0.21, 0.19, 0.28, 0.41 and 0.15 for birth weight (BWT), weaning weight (WWT), preweaning average daily gain (PREADG), yearling weight (YWT), final weight at about 18 months of age (FWT) and post-weaning average daily gain (POADG), respectively. The maternal component of additive genetic variance as a proportion of phenotypic variance in BWT, WWT and PREADG was 0.15, 0.10 and 0.10, respectively. The heritability estimates for TICK, EPG, TEMP, COAT and FT were 0.13, 0.24, 0.12, 0.26 and 0.20, respectively. High positive genetic and phenotypic correlations were observed among growth traits. Low (insignificant) genetic correlations were observed between TICK, EPG and growth traits. However, genetic correlations between growth traits and heat tolerance traits (TEMP and COAT) were moderately negative implying that as the ability of an animal to handle heat stress increases, growth also increases at the genetic level. Genetic correlations among TICK, EPG and TEMP were moderately positive, suggesting that closely-linked genes affect these adaptive traits. The significant negative genetic relationship between TEMP and FT suggests that cattle with high heat resistance have desirable temperament. With the increasing crossbred populations in the northern Australian beef cattle industry, the best breeding strategy should aim to exploit both crossbreeding and within population selection to make improvements in growth, adaptive and temperament traits to increase overall productivity of the enterprise.


2001 ◽  
Vol 137 (3) ◽  
pp. 365-371 ◽  
Author(s):  
S. A. AL-SHOREPY

Genetic parameters were estimated for purebred and crossbred lambs of a local breed using a single trait animal model. The traits recorded were: birth weight (BWT), weight at 30 days (WT30), weaning weight (WWT), average daily gain from 1 to 30 days (ADG1) and average daily gain from 30 to 90 days (ADG2). Five different animal models were fitted for each trait; all including additive direct genetic variance and various combinations of additive maternal and environmental maternal effects. The most appropriate model was chosen based on likelihood ratio tests. Additive maternal and permanent environmental effects were important (P < 0·05) for birth weight in purebred and crossbred lambs, when compared with a model containing only additive direct effects. Inclusion of maternal permanent environmental effects provided a better fit (P < 0·05) for weaning weight in purebred lambs than a model containing only additive direct effects. Estimates of heritability from the model containing additive direct, maternal effects and maternal permanent environmental effects, but not additive direct-maternal correlation, for combined purebred and crossbred lambs were 0·32 for BWT, 0·19 for WT30, 0·24 for WWT, 0·26 for ADG1 and 0·12 for ADG2. Estimates of additive maternal and maternal permanent environmental variances, respectively, as a proportion of phenotypic variance were 0·06 and 0·07 for BWT, 0·05 and 0·02 for WT30, 0·02 and 0·03 for WWT, 0·03 and 0·05 for ADG1 and 0·00 and 0·03 for ADG2. Estimates of direct-maternal correlation in subsequent analyses were significant and ranged from −0·16 to −0·95 for live weights and from −0·73 to −1·0 for daily gains. However, the very large negative correlations probably resulted from undefined non-genetic covariances as well as possible antagonistic genetic effects. These results indicate that it would be possible to improve growth traits in a local sheep breed through genetic selection.


1981 ◽  
Vol 32 (1) ◽  
pp. 1-7 ◽  
Author(s):  
B. T. Wolf ◽  
C. Smith ◽  
J. W. B. King ◽  
D. Nicholson

ABSTRACTData were available on crossbred meat lambs for 10 live-weight and growth traits (2585 lambs), 5 carcass traits (1884 lambs) and 10 dissection traits (944 lambs). These were the progeny born on an experimental farm over 5 years, from 102, 79 and 65 sires respectively for the three groups of traits. Genetic parameters were estimated from the sire components in a nested analysis of variance within breed of sire and year subclass, adjusting for sex, dam age, rearing type and other factors.The heritabilities of the live-weight and growth traits were all low, the highest being average daily gain to slaughter (0·10, s.e. 0·06), and none was statistically significant. The heritabilities of the traits of carcass composition were much higher: percentage lean (0·41, s.e. 0·13), percentage fat (0·37, s.e. 0·13) and percentage bone (0·16, s.e. 0·10). Intermediate values were found for most other traits: killing-out percentage (0·16, s.e. 0·07), fat depth (0·21, s.e. 0·11), eye-muscle area (0·14, s.e. 0·10) and lean/bone ratio (0·13, s.e. 0·09).Phenotypic and genetic correlations among the traits were also estimated. No major incompatibilities were found among the traits. The results are discussed in relation to the genetic improvement of lean meat production in sheep.


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