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Heritability and genetic correlations of monthly egg production under random regression models were estimated. Three layer lines (A22, A88, K66) in six consecutive generations were analysed. A22 (13,770 recorded hens) and A88 (13,950 recorded hens) are maternal lines of Rhode Island White birds selected on egg production and shell colour; K66 (9,351 recorded birds) is a paternal line of Rhode Island Red birds selected on egg weight. Eight models with different orders of Legendre polynomials were applied. Adequacy of the models was checked by the Akaike Information Criterion. According to the most adequate model including second order Legendre polynomials for fixed effects and third order for additive genetic and permanent environmental effects, relatively high heritabilities were estimated in the first (h²=0.3) and final (h² above 0.3) periods of production with a substantial decrease in heritability during the egg production peak. Methodology based on random regression animal models can be recommended for genetic evaluation of laying hens.
Genetic parameters and genetic trends for the number of kits born alive (NBA), number of kits born dead (NBD) and the total number of born kits were estimated in Pannon Large rabbits. Using the REML method 12 single trait models were examined. Heritability estimates were low for all traits and ranged between 0.07-0.08 (with standard errors 0.018-0.021) for NBA (5830 records), 0.01-0.02 (0.009-0.009) for NBD (6278 records) and 0.04-0.05 (0.015-0.018) for TNB (6278 records) from 1469 does. The ratios of the permanent environmental and the phenotypic variances exceeded of the heritability estimates and ranged between 0.11-0.16(0.016-0.018) for NBA, 0.06-0.07 (0.014-0.015) for NBD and 0.11-0.17 (0.014-0.017) for TNB. When characterizing the goodness of models bias values were practically zero for all traits and models. After identifying the best fitted model (containing parity, age of the doe and year-month of kindling effects) it was extended with dominance effects. As a result, heritability estimates decreased to 0.06 (0.028) for NBA, 0.02 (0.012) for NBD and 0.02 (0.022) for TNB. The relative importance of the permanent environmental effects also decreased to 0.09 (0.031) for NBA, 0.05 (0.024) for NBD and 0.07 (0.028) for TNB. Ratios of the dominance effects exceeded those of the heritability estimates and amounted to 0.27 (0.024) for NBA, 0.05 (0.013) for NBD and 0.38 (0.025) for TNB. When compared to the additive model, the model including dominance showed some confounding with additive genetic and with permanent environmental effects and reduced calculated genetics trends (0.035 vs 0.03, -0.0017 vs -0.003 and 0.016 vs 0.01 for NBA, NBD and TNB, respectively). Spearman rank correlation coefficients between breeding values of the additive and dominance models were high for all traits (0.96-0.98). When dominance effects were included some re-ranking was observed among the top ranked animals for every trait.
The objective of this study was to estimate variance components of Polish Arab horses’ racing performance. The traits studied were the log of annual earnings and rank. Fixed effects of the year of race, herd, sex, the annual number of starts and random animal and permanent environment effects were evaluated on both earnings and rank at finish in Polish Arab horses. The obtained data included 2243 records on 4- and 5-year-old horses by 143 sires. Only races in which 4- and 5-year-olds competed were used. Heritability estimates of earnings and rank at finish were 0.22 and 0.25, respectively. Repeatability estimates of these traits were the same as heritability estimates. All the estimates of genetic and phenotypic correlations between the log of earnings and rank at finish were high and positive. Earnings and rank are good criteria for genetic improvement. Rank seems to be a better measure of racing performance.
Studies on genetic parameters that describe performance traits of stallions managed in Training Centres are of great importance, since they allow breeders to rationally design their breeding programmes. The outcomes of such studies also include breeding methods that are adequate for an improvement of traits which are of different heritability or which have different coefficients of correlation between them. As an effect of evaluated stallions will be significant over the decades to follow, the studies we have performed are important in terms of both theory and practice. The study covered performance test records of 2825 stallions tested in Training Centres in 1977-2000. Heritability estimates for the selected traits evaluated during performance tests were estimated with the REML method. The recorded values ranged from 0.09, for the pulse rate, to an exceptionally high record for dressage, as judged by foreign riders, reaching 0.95.
The objective of this study was to estimate genetic correlations of lactose percentage and urea concentration in milk with conformation traits related to udder and legs of Polish Holstein-Friesian cows. Data consisted of 5,813 test-day records and type scores of 791 primiparous cows. The analysis involved two descriptive traits (udder, feet and legs, scored from 50 to 100) and 11 linearly scored traits (describing udder: fore udder height, rear udder height, central ligament, udder depth, udder width, fore teat placement, teat length, rear teat placement; describing legs: rear legs - side view, foot angle, rear legs - rear view; on a scale of 1 to 9). Genetic correlations were calculated based on (co)variances estimated using the Bayesian method via Gibbs sampling and the multitrait animal model. Genetic correlations between lactose content and conformation traits ranged from -0.18 to 0.23, while those between milk urea concentration and conformation traits ranged between -0.02 and 0.43, respectively. Absolute values of average genetic correlations with daily lactose percentage exceeded 0.15 only for udder (descriptive trait) and several linearly scored traits, i.e. central ligament, udder depth, rear teat placement, and rear legs - rear view. Milk urea content was weakly or moderately genetically correlated with six type traits: udder, and five linearly scored traits: fore udder height, central ligament, udder width, teat length, and rear legs - side view. Absolute values of genetic correlations between these traits exceeded 0.15. Our results showed that type traits connected with udder were more highly genetically correlated with both lactose and milk urea contents than type traits describing legs. It meant that an increase in both lactose percentage and urea concentration in milk might be expected as an indirect response to selection for better udder, whereas selection for improvement of legs would not affect lactose percentage and milk urea content.
The aims of this study were to analyse the structure of Polish dairy goat population and to estimate the non-genetic and genetic sources of variation in five milk traits. The data set comprised 18,563 lactation records of 8,938 dairy goats, while the pedigree file covered information on 13,159 animals 6 generations deep. To estimate the environmental effects the GLM procedure, using a model with the random effect on the herd-sire interaction, the fixed effects of herd-year-season of kidding interaction, breed, litter size, parity, year of birth and regression on day-in-milk. To estimate the co(variance) of the components of milk, fat, and protein yields, as well as fat and protein contents the REML method based on the repeatability animal model was applied. The average inbreeding coefficient was 0.61% (sd=3.12%). Milk, fat and protein yields were affected by all the factors except for breed. The nanny goats with more than two kids had higher milk, fat and protein yields,but they had a lower percentage of milk components than those with one kid or twins. The goats in their first lactation had the lowest milk, fat and protein yields, but the highest fat content. The heritability estimates were moderate (0.21, 0.18, 0.19 for milk, fat and protein yields, respectively).Repeatability estimates ranged from 0.30 for milk, 0.28 for fat, and 0.27 for protein yields, and 0.25 and 0.28 for fat and protein contents. Genetic correlations between milk yield and fat and protein contents were negative and moderate (-0.27 and -0.30), between fat and protein contents (0.58) while those between yields were ranged from 0.71 to 0.86. In turn, correlations between fat yield and its content, and protein yield and its content were positive and moderate (0.35, 0.23).
Genetic parameters were estimated for the body weights, daily gains and body measurements of young bulls at central rearing stations. The data included 5512 black-and-white bulls and 1186 Holstein-Friesian (HF) and 1/2 HF bulls bom during 1981 - 1984 and 3959 black-and-white, 2098 HF and 1/2 HF bom during 1985 - 1987. The values of genetic parameters estimated in both periods were similar. Heritabilities of body weights at 120 and 360 days and average daily gains were between 0,21 to 0,29; estimates of heritabilities for heart girth and height at withers were slightly higher. The highest genetic correlations were found between body weight at 360 days and average daily gain. For bulls bom between 1981 and 1984 the BLUP method was used to evaluate predicted differences (1/2 of breeding value) in body weight at 360 days and average daily gains of young bulls. Averages of predicted differences calculated for each rearing station yielded small genetic differences among them. In addition, the predicted differences were evaluated for bulls’ sires based on their sons performances.
As a goal of this paper, the assessment of genetic variability of Złotnicka White (ZW) and Zlotnicka Spotted (ZS), was chosen in order to verify the appropriateness of 11 tetrameric Short Tandem Repeats (STRs) panel for use in genetic resources of pigs. Analyses were carried out in sets of 91 ZW and 250 ZS pigs. Seventy-one alleles in ZW and 85 alleles in ZS were detected at all 11 STRs loci. An average number of alleles at locus (MNA) was 6.455 in ZW and 7.727 in ZS. An average number of effective alleles (MNe) was 3.532 in ZW and 3.431 in ZS. Observed heterozygosity Ho was 0.659 in ZW and 0.637 in ZS. On average, polymorphism information content (PIC) reached 0.639 and 0.619 per locus in ZW and ZS. The probability of identity of two independent samples PI using all 11 STRs loci in ZW amounted to 3.118 x 10⁻¹⁰ and to 5.921 x 10⁻¹⁰ in ZS while the probability of identity related individuals PISibs was 1.331 x 10⁻⁴ and 1.749 x 10⁻⁴ in ZW and ZS. The power of exclusion for loci combinations when both parents are known, when only one of the parent is known and for two putative parents P1, P2 and P3 were in ZW versus ZS 0.99903 v. 0.99887, 0.97998 v. 0.97654 and 0.99999 v. 0.99998, respectively. Identified estimates of stated parameters illustrate suitability of tetrameric STRs for practical application in the management of genetic resources, verification of parentage and traceability in ZW and ZS. Based on the results, we recommend the panel of tetrameric STRs loci as suitable for parentage, traceability and differentiation of subpopulations in genetic pig resources of similar history. Hₑ.
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