• Asian-Australasian Journal of Animal Sciences
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• v.17 no.7
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• pp.914-918
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• 2004

The random regression model methodology was applied into the estimation of genetic parameters for body weights in Chinese Simmental cattle to replace the traditional multiple trait models. The variance components were estimated using Gibbs sampling procedure on Bayesion theory. The data were extracted for Chinese Simmental cattle born during 1980 to 2000 from 6 national breeding farms, where records from 3 months to 36 months were only used in this study. A 3 orders Legendre polynomial was defined as the submodel to describe the general law of that body weight changing with months of age in population. The heritabilities of body weights from 3 months to 36 months varied between 0.31 and 0.48, where the heritabilities from 3 months to 12 months slightly decreased with months of age but ones from 13 months to 36 months increased with months of age. Specially, the heritabilities at eighteenth and twenty-fourth month of age were 0.33 and 0.36, respectively, which were slightly greater than 0.30 and 0.31 from multiple trait models. In addition, the genetic and phenotypic correlations between body weights at different month ages were also obtained using regression model.

• Korean Journal of Ichthyology
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• v.12 no.2
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• pp.118-123
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• 2000

Heritabilities of growth traits, and phenotypic and genetic correlations for rearing masu salmon Oncorhynchus masou in adult stage were described. Genetic parameters were estimated for total length, body weight, and head length of masu salmon at 19 and 23 months of age. The heritabilities of growth traits estimated for sire component at 19 months of age was 0.22 in each trait in 1995, and ranged from 0.19 to 0.36 at 23 months of age in 1996. Phenotypic and genetic correlations were high among growth traits(0.85~0.98, 0.67~1.26, respectively). Family selection or that combined with individual selection is proposed to improve growth of masu salmon.

• Asian-Australasian Journal of Animal Sciences
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• v.8 no.6
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• pp.567-570
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• 1995

Data from 178 Jersey calves born at Livestock Experiment Station were analyzed to obtain estimates of heritability, genetic and phenotypic correlations of some growth traits. Sex-specific variance and covariance components were estimated for birth weight (BWT), 180-d weight (WWT), 365-d weight (YWT), birth to weaning daily gain (BWG), weaning to yearling daily gain (WYG) and brith to yearling gain (BYG). Heritabilities, genetic and phenotypic correlations were generally higher in males than females. Heritabilities estimated for males and females respectively were 0.98 and 0.49 for BWT; 0.70 and 0.76 for WWT; 0.71 and 0.26 for YWT. Genetic correlations were higher than phenotypic correlations in all the treats studied.

• Journal of Korean Society of Forest Science
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• v.74 no.1
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• pp.61-66
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• 1986

This study was conducted to estimate the heritabilities of height and stem diameter growth in 5- and 6-year-old Pinus koraiensis. Estimates of individual tree and family heritability for height growth were $h^2_I=0.40$, $h^2_F=0.77$ in 5-year-old and $h^2_I=0.57$, $h^2_F=0.89$ in 6-year-old, respectively. Heritabilities for diameter growth were estimated as $h^2_I=0.16$, $h^2_F=0.53$ and $h^2_I=0.26$, $h^2_F=072$ in 5-and 6-year-old seedlings.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.5
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• pp.636-642
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• 2018

Objective: The objective of this study was to estimate genetic parameters of milk, fat, and protein yields within and across lactations in Tunisian Holsteins using a random regression test-day (TD) model. Methods: A random regression multiple trait multiple lactation TD model was used to estimate genetic parameters in the Tunisian dairy cattle population. Data were TD yields of milk, fat, and protein from the first three lactations. Random regressions were modeled with third-order Legendre polynomials for the additive genetic, and permanent environment effects. Heritabilities, and genetic correlations were estimated by Bayesian techniques using the Gibbs sampler. Results: All variance components tended to be high in the beginning and the end of lactations. Additive genetic variances for milk, fat, and protein yields were the lowest and were the least variable compared to permanent variances. Heritability values tended to increase with parity. Estimates of heritabilities for 305-d yield-traits were low to moderate, 0.14 to 0.2, 0.12 to 0.17, and 0.13 to 0.18 for milk, fat, and protein yields, respectively. Within-parity, genetic correlations among traits were up to 0.74. Genetic correlations among lactations for the yield traits were relatively high and ranged from $0.78{\pm}0.01$ to $0.82{\pm}0.03$, between the first and second parities, from $0.73{\pm}0.03$ to $0.8{\pm}0.04$ between the first and third parities, and from $0.82{\pm}0.02$ to $0.84{\pm}0.04$ between the second and third parities. Conclusion: These results are comparable to previously reported estimates on the same population, indicating that the adoption of a random regression TD model as the official genetic evaluation for production traits in Tunisia, as developed by most Interbull countries, is possible in the Tunisian Holsteins.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.30 no.2
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• pp.174-179
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• 1985

Estimate of heritabilities, genotypic and phenotypic correlations and path coefficient analysis were performed for the seven characters of barley cultivars (Hordeum vulgare L.). Heritabilities of broad sense for stem length and spike length were 0.923 and 0.907. Kernels per spike, grain yield and 100 grain weight also showed high heritabilities. High genotypic and phenotypic correlations existed between stem length and 100 grain weight. Grain yield showed highly significant phenotypic correlation with spike length, 100 grain weight and kernels per spike. Genotypic correlations between those characters were moderately high. Number of stem had greatest direct effect but the number of spike had a strong negative direct effect upon grain yield. Kernels per spike via number of spike showed greatest indirect effect and the number of stem via number of spike showed strong negative indirect effect upon grain yield.

• Journal of Animal Science and Technology
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• v.44 no.2
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• pp.201-206
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• 2002

This study was conducted to estimate heritabilities and genetic and phenotypic correlations among body weight and 10 different body measurements on the basis of the data from Korean cows at Korean Cattle Improvement Areas from 1979 to 1995. Results obtained are as follows. 1. Heritabilities of body weights at birth, weaning, 12 months and 27 months of age estimated were 0.208${\pm}$0.038, 0.457${\pm}$0.073, 0.476${\pm}$0.082 and 0.227${\pm}$0.040, respectively. Heritabilities of body measurements at 12 and 27 months of age estimated were 0.326 and 0.242 for withers height, 0.486 and 0.110 for body length and 0.462 and 0.170 for chest girth2. Genetic and phenotypic correlations among body weight and ten body measurements at 12 months of age were positive ranging from 0.223 to 0.999. Genetic and phenotypic correlations among body weight and ten body measurements at 27 months of age were positive ranging from 0.290 to 0.883.

• Korean Journal of Poultry Science
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• v.25 no.1
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• pp.11-19
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• 1998

This study was conducted to estimate the heritabilities and genetic correlations on egg weight and egg compositional traits for breeding plan and selection in Korean native chicken. Data analyzed were the records of 46,908 eggs from 430 layers produced from 180 dam and 26 sire families, from April, 1994 to September, 1995. On egg weight and egg compositional traits at 1st egg, 300 and 500 days of age, the egg weights were 41.489, 49.544 and 52.770g ; the albumin weights were 25.953, 29.979 and 31.288g; the yolk weights were 11.091, 14.541 and 16.368g; shell weights were 4.472, 5.037 and 5.099g, respectively. The estimates of heritability of egg weights and egg compositional traits based on the variance of sires, dams and combined components at 300 days of age were 0.214, 0.226 and 0.720 for egg weight ; 0.307, 0.152 and 0.730 for albumin weight ; 0.124, 0.953 and 0.699 for yolk weight ; 0.047, 0.026 and 0.536 for shell weight. The genetic correlation coefficient between egg weight and albumen weight was 0.083~0.951 ; 0.310~0.507 between egg weight and yolk weight ; 0.242~0.523 between egg weight and shell weight ; 0. 237~0. 413 between albumen weight and yolk weight ; 0.232~0.449 between albumen weight and shell weight ; -0.264~0.239 between yolk weight and shell weight, respectively.

• Asian-Australasian Journal of Animal Sciences
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• v.16 no.5
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• pp.639-643
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• 2003

The data on 283 Sahiwal cows, sired by 16 bulls, maintained at Cattle Breeding Farm of Nagpur Veterinary College and Dairy Farm of Agricultural College, Nagpur, were considered for the estimation of genetic parameters. Variance and covariance estimates of first lactation traits were obtained using restricted maximum likelihood technique (REML). When first lactation milk yield (FLMY), first lactation length (FLL) and average daily yield (ADY) traits were considered for REML analysis, the heritabilities were $0.184{\pm}0.146$, $0.132{\pm}0.131$ and $0.141{\pm}0.133$, respectively. While, genetic and phenotypic correlations between them were medium to high except phenotypic correlations between FLL and ADY (-0.025). REML procedure considering FLMY, age at first calving (AFC) and first service period (FSP) combination exhibits heritabilities as $0.274{\pm}0.173$, $0.506{\pm}0.233$ and $0.274{\pm}0.172$, respectively. Genetic correlations were $-0.120{\pm}0.376$, $0.225{\pm}0.423$ and $0.365{\pm}0.331$ between FLMY and AFC, FLMY and FSP, AFC and FSP, respectively. Phenotypic correlations were 0.057, 0.289 and 0.123, respectively. Considering all five traits REML combination heritabilities estimated were $0.238{\pm}0.162$, $0.160{\pm}0.139$, $0.136{\pm}0.132$, $0.409{\pm}0.209$ and $0.259{\pm}0.168$ for FLMY, FLL, ADY, AFC and FSP, respectively. The genetic correlations were positive except FLMY and AFC. The phenotypic correlations were also positive except FLL and ADY, ADY and FSP. Almost all estimates were associated with high standard error.

• Asian-Australasian Journal of Animal Sciences
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• v.25 no.6
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• pp.764-771
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• 2012

Direct and maternal genetic heritabilities and their correlations with body weight at 5 stages in the life span of purebred Berkshire pigs, from birth to harvest, were estimated to scrutinize body weight development with the records for 5,088 purebred Berkshire pigs in a Korean farm, using the REML based on an animal model. Body weights were measured at birth (Birth), at weaning (Weaning: mean 22.9 d), at the beginning of a performance test (On: mean 72.7 d), at the end of a performance test (Off: mean 152.4 d), and at harvest (Finish: mean 174.3 d). Ordinary polynomials and Legendre with order 1, 2, and 3 were adopted to adjust body weight with age in the multivariate animal models. Legendre with order 3 fitted best concerning prediction error deviation (PED) and yielded the lowest AIC for multivariate analysis of longitudinal body weights. Direct genetic correlations between body weight at Birth and body weight at Weaning, On, Off, and Finish were 0.48, 0.36, 0.10, and 0.10, respectively. The estimated maternal genetic correlations of body weight at Finish with body weight at Birth, Weaning, On, and Off were 0.39, 0.49, 0.65, and 0.90, respectively. Direct genetic heritabilities progressively increased from birth to harvest and were 0.09, 0.11, 0.20, 0.31, and 0.43 for body weight at Birth, Weaning, On, Off, and Finish, respectively. Maternal genetic heritabilities generally decreased and were 0.26, 0.34, 0.15, 0.10, and 0.10 for body weight at Birth, Weaning, On, Off, and Finish, respectively. As pigs age, maternal genetic effects on growth are reduced and pigs begin to rely more on the expression of their own genes. Although maternal genetic effects on body weight may not be large, they are sustained through life.