A note on transgenerational epigenetics affecting egg quality traits in meat-type quail.

1. The aim of the following experiment was to estimate transgenerational epigenetic variance for egg quality traits using genealogical and phenotypic information in meat-type quail. Measured traits included egg length (EL) and width (EWD), albumen weight (AW), shell weight (SW), yolk weight (YW) and egg weight (EW). 2. A total of 391 birds were evaluated for egg quality by collecting a sample of one egg per bird, during three consecutive days, starting on the 14th d of production. Analyses were performed using mixed models including the random epigenetic effect. Variance components were estimated by the restricted maximum likelihood method. A grid-search for values for the auto-recursive parameter (λ) was used in the variance components estimation. This parameter is directly related to the reset (v) and epigenetic transmissibility (1 - v) coefficients. 3. The epigenetic effect was not significant for any of the egg quality traits evaluated. Direct heritability estimates for egg quality traits ranged in magnitude from 0.06 to 0.33, whereby the higher estimates were found for AW and SW. Epigenetic heritability estimates were low and close to zero (ranging from 0.00 to 0.07) for all evaluated traits. 4. The current breeding strategies accounting for additive genetic effect seem to be suitable for egg quality traits in meat-type quail.

Transgenerational epigenetic variance for body weight in meat quails.

We aimed to estimate transgenerational epigenetic variance for body weight using genealogical and phenotypic information in meat quails. Animals were individually weighted from 1 week after hatching, with weight records at 7, 14, 21, 28, 35 and 42 days of age (BW7, BW14, BW21, BW28, BW35 and BW42, respectively). Single-trait genetic analyses were performed using mixed models with random epigenetic effects. Variance components were estimated by the restricted maximum likelihood method. A grid search for values of autorecursive parameter (λ) ranging from 0 to 0.5 was used in the variance component estimation. This parameter is directly related to the reset coefficient (ν) and the epigenetic coefficient of transmissibility (1-ν). The epigenetic effect was only significant for BW7. Direct heritability estimates for body weight ranged in magnitude (from 0.15 to 0.26), with the highest estimate for BW7. Epigenetic heritability was 0.10 for BW7, and close to zero for the other body weights. The inclusion of the epigenetic effect in the model helped to explain the residual and non-Mendelian variability of initial body weight in meat quails.

Avaliação da imobilidade tônica em codornas de corte via análise de sobrevivência' / Tonic immobility evaluation in meat quail via survival analysis

Tonic immobility (TI) is a way to measure fear, as characterized by the reduced capacity to respond to external stimuli. The time spent in TI indicates the level of fear. Since TI is measured as the time until event occurrence, survival analysis stands out as a suitable statistical method to treat these data. We aimed to investigate the influence of possible factors (lines, sex and age) on fear behavior in meat quail (Coturnix coturnix) measured through TI by using survival analysis (non parametric Kaplan-Meyer method via logrank test). The dataset was composed by TI information provided by 50 animals from each line (UFV1 and UFV2) in each age (14 and 28 days of age), totalizing 200 records. Despite the slight difference between the two evaluated ages, there was no significance for this factor between each studied line, UFV1 (P= 0.1493) and UFV2 (P= 0.2583). The logrank test indicated significant difference (P= 0.0407) between levels of line/sex groups at 14 days of age. We noted that males from UFV2 line presented higher fear behavior in relation to males from UFV1 line. No significant differences were observed for this factor when considering 28 days of age.(AU)

Inferência bayesiana da conversão alimentar em diferentes experimentos animais / Bayesian Inference of feed conversion in different animal experiments

O presente trabalho teve por objetivo avaliar a conversão alimentar (CA) por meio da inferência bayesiana considerando-se análises bivariadas. Foram utilizadas diferentes espécies animais de experimentos conduzidos na Universidade Federal de Viçosa, no estado de Minas Gerais, Brasil. O modelo proposto mostrou ser apropriado, uma vez que possibilitou a detecção de diferenças significativas entre níveis de fatores não detectados por procedimentos frequentistas em ANOVA tradicional, principalmente em pequenas amostras. No experimento com codornas, evidenciou-se que aves cujos níveis de proteína bruta eram de 23% e 29%, respectivamente, para machos e fêmeas, apresentaram uma melhor CA, de 2,83±0,03 e 2,66±0,03, respectivamente. No experimento com frangos, no grupo sem o aditivo antibiótico, a inclusão de 0,02% de extrato de ésteres naturais foi o que promoveu a melhor CA (1,72±0,01), e, de modo geral, o uso de antibiótico e a ausência de ésteres naturais promoveram CA de 1,63±0,02. Em caprinos, verificou-se que o aleitamento, seja com leite de cabra ou de vaca, promove igualmente uma melhor CA, respectivamente, no grupo de 60 e 90 dias, de 1,29±0,14 e 1,79±0,11, sugerindo que o aleitamento seja feito até os 60 dias. Em suínos, a dieta com maior nível de energia metabolizável e aminoácidos foi a que promoveu a melhor CA (2,86±0,07), quando comparada a uma dieta com nível nutricional mais baixo. Já o uso de enzimas na dieta com menor nível energético e de aminoácidos proporcionou resultado intermediário (2,90±007). Em bovinos, observou-se que o uso de 1% de concentrado na dieta promoveria uma melhor CA estimada de 7,33±0,35 entre os Nelores e que essa promoção seria de 7,40±0,58 entre os cruzados com o uso de 2% de concentrado na dieta.

The aim of this study was to evaluate the feed conversion (CA) by Bayesian inference in bivariate considering analyzes in real and simulated data. Different animal species experiments conducted at the Universidade Federal de Viçosa, state of Minas Gerais, Brazil are used. The proposed model proved to be appropriate once it enabled the detection of significant differences between levels of factors not detected by frequentist procedures with traditional ANOVA, especially in small samples. In the experiment with quails, it became clear that the birds' brute protein levels were 23% and 29%, respectively, for males and females, which presented better CA, 2.83±0.03 and 2.66±0.03, respectively. In the experiment with chickens, the group without additive antibiotic, including 0.02% extract natural esters promoted the best CA (1.72±0.01) and in general antibiotic absence of esters natural promoted 1.63±0.02 of the CA. In goats, it has been found that feeding milk from cows or goats also promotes better CA, respectively, in groups milked up to 60 and 90 days, being 1.29±0.14 and 1.79±0.11, suggesting that suckling done until 60 days. Pigs fed the highest level of metabolizable energy and aminoacids promoted the best CA (2.86±0.07) compared to a diet with lower nutritional level. But the use of enzymes in the diet with lower energy level and amino acid provided intermediate result (2.90±007). In cattle, it was observed that the use of 1% concentrate diet, CA, promotes a better estimate of 7.33±0.35 between Nellore and this promotion would be 7.40±0.58 between the cross breeds using 2% concentrate diet.

Factors that influence the test day milk yield and composition.

The objective of this research was to study the factors that influence the test day milk yield (TDMY) and percentages of protein, fat, lactose, and total dry extract obtained on test day. We evaluated 110,732 weekly milk production records from 1496 goats and 19,271 monthly milk constituent records from 1245 Alpine and Saanen goats, which were collected from 1997 to 2010 in the goat sector at Universidade Federal de Viçosa. To ensure greater record reliability, only lactation data with kidding order between 1 to 6, type of kidding data including 0 to 3 kids, milk control years after 1997, and genetic groupings other than types 7 or 9 were considered, due to the relative lack of information recorded for some classes of these factors. Data in which the reported milk days were less than 7 or greater than 315 were also eliminated. Goats aged greater than 300 days at calving and those aged less than 6 years at control were considered in this study. Milk production was higher in the dry season in comparison to the rainy season. Genetic grouping did not influence all traits in both breedings. The TDMY tended to increase along with increasing age of the goats at kidding, while the opposite trend was observed relative to kidding order. Factors that significantly influenced all of the studied traits varied, and the factors that significantly influenced each trait were altered between the relationship of Alpine and Saanen breeds. Thus, the analysis of factors that influence traits to be evaluated in the herd under study is critical for defining the best evaluation model.

Evaluation of alternative schemes for recording body weights in meat-type quails by using random regression.

Data from 8759 meat-type quails from the UFV1 strain and 9128 from the UFV2 strain were used to assess the possibility of reducing the number of body weight records in genetic evaluations. The evaluated animals were weighed weekly since hatching to the 6th week of life, with up to 7 records of body weight for each bird. The data were evaluated by random regression models, with 9 alternative schemes of data recording, which included 4 records for each scheme and their covariance functions for additive and permanent environmental effects of order 3, fitting 4 intervals for residual variance, and a complete scheme, with 7 records, order of fit 6 for additive and permanent environmental effects and 7 intervals for residual variance. Estimates of heritability for body weight at the 6th week varied from 0.45 to 0.53 for the UFV1 strain and from 0.28 to 0.54 for UFV2 strain. The schemes that had more records in points at the final extreme of the age range showed better estimates, which was likely due to certain properties of polynomial regression that led to biased results in the final extreme of the age range when data are unbalanced. The reduction of the number of body weight records taken during the growth phase is feasible, with little change to breeding value estimates, when 4 body weight records are used in random regression models.

Genetic and environmental factors that influence production and quality of milk of Alpine and Saanen goats.

Data from 1279 lactations of 783 Alpine and Saanen goats of the herd of our university in Minas Gerais, Brazil, were used to study environmental effects on and to estimate genetic parameters for milk production until 270 days of lactation (MP270) and for production and percentages of fat (PFAT and %FAT), protein (PPROT and %PROT), lactose (PLACT and %LACT), and total dry extract (PEXTR and %EXTR). Environmental effects were estimated by a statistical model that included contemporary group effect, type of kidding, genetic grouping, and kidding order. A multi-trait animal model with animal and permanent environment random effects was used to estimate genetic parameters and the significant environmental effects (fixed). Contemporary group influenced all traits; genetic grouping did not influence %LACT; type of kidding did not influence PFAT, %PROT or %LACT, and kidding order did not influence %FAT or %EXTR. Heritability and repeatability estimates were, respectively, 0.19 and 0.37 (MP270); 0.10 and 0.20 (PFAT); 0.12 and 0.24 (PPROT); 0.15 and 0.27 (PLACT); 0.13 and 0.24 (PEXTR); 0.21 and 0.34 (%FAT); 0.39 and 0.44 (%PROT); 0.17 and 0.29 (%LACT); 0.31 and 0.47 (%EXTR). Estimates of genetic correlations among MP270 and production of milk constituents were positive and high, but correlations between MP270 and %FAT, MP270 and %PROT, MP270 and %ESTR were moderate and negative. These heritability estimates show that satisfactory genetic gains can be obtained by selection, especially for milk constituents.