ABSTRACT Apparent calcium (Ca) retention and digestibility coefficients are affected by limestone particle size in the diet of laying hens. This study aimed to determine the apparent retention and digestibility coefficients of Ca in limestone of different particle sizes in laying hens. The study comprised 288 Lohmann Brown laying hens (50 weeks of age; 1,964 ± 98 g) distributed in a completely randomized experimental design with a 3 × 2 factorial arrangement [three Ca concentrations (10, 20, and 30 g kg–1) × two limestone particle sizes (480 and 1,978 µm)] with eight repetitions per treatment and six birds per experimental unit. The experiment included five days for adaptation and five days for total excreta collection. All birds were slaughtered at the end of the ten days to collect the ileal contents. The total or ileal Ca content was plotted against the Ca of diets concentration using linear regression analysis. The regression line slope represented the apparent retention (CaR) and digestibility coefficients of Ca (CaD) in limestone. There was interaction between Ca concentration in the diet and limestone granulometry on CaD (p = 0.001) and CaR (p < 0.001). The CaD and CaR of fine- and coarse-grained limestone increased linearly with increasing Ca concentrations in the diet. The apparent digestibility coefficients estimated for laying hens fed with fine-grained and coarse-grained limestone were 0.72 and 0.35, respectively. The apparent retention coefficients estimated for laying hens fed fine-grained and coarse-grained limestone were 0.96 and 0.47, respectively.

ABSTRACT. This study aimed to propose and compare metrics of accuracy and bias of genomic prediction of breeding values for traits with censored data. Genotypic and censored-phenotypic information were simulated for four traits with QTL heritability and polygenic heritability, respectively: C1: 0.07-0.07, C2: 0.07-0.00, C3: 0.27-0.27, and C4: 0.27-0.00. Genomic breeding values were predicted using the Mixed Cox and Truncated Normal models. The accuracy of the models was estimated based on the Pearson (PC), maximal (MC), and Pearson correlation for censored data (PCC) while the genomic bias was calculated via simple linear regression (SLR) and Tobit (TB). MC and PCC were statistically superior to PC for the trait C3 with 10 and 40% censored information, for 70% censorship, PCC yielded better results than MC and PC. For the other traits, the proposed measures were superior or statistically equal to the PC. The coefficients associated with the marginal effects (TB) presented estimates close to those obtained for the SLR method, while the coefficient related to the latent variable showed almost unchanged pattern with the increase in censorship in most cases. From a statistical point of view, the use of methodologies for censored data should be prioritized, even for low censoring percentages.

ABSTRACT We aimed to reduce the dimensionality of quantitative traits in pigs applying factor analysis. Quantitative variables were collected, and the factor analysis extracted five factors with biological meaning related to performance, carcass quality, carcass yield, meat quality, and initial pH. These factors were posteriorly used as dependent variable to evaluate the effects of genetic groups (Piau, Duroc, and Pietrain crossbreds), nutritional plans (low, medium and high lysine levels) and sex. An interaction effect between genetic group and sex was observed in performance, in which Duroc crossbred showed the greatest scores. The Pietrain genetic group showed greater values of carcass quality compared with Duroc and Piau, while Piau crossbred pigs had greater values for meat quality compared with Pietrain and Duroc. A greater carcass yield was observed in Pietrain crossbred compared with Duroc pigs. Pigs fed under low lysine level had the lowest performance values. Carcass yield was affected by nutritional plans, in which the medium lysine level showed the greatest values. Meat quality was improved by the nutritional plan with high lysine level compared with the low lysine level. Initial pH showed increased means when using nutritional plans with low and medium lysine levels in diet composition. With regard to sex effects, a greater carcass quality was found for gilts compared with barrows. The reduction of the data dimensionality allowed the joint evaluation of genetic group, nutritional plan, and sex based on new latent variables that represented the original dataset under easier framework based on factors’ biological interpretation.

ABSTRACT We aimed to estimate genetic parameters for growth, reproductive, and carcass traits in Tabapuã cattle. Phenotypic data were collected between 1990 and 2019 in 1,218 farms, and the pedigree file had 340,868 animals. The traits evaluated were body weight at 120 (W120), 210 (W210), 365 (W365), and 550 (W550) days of age; age at first calving (AFC), scrotal circumference at 365 days of age (SC365), ribeye area (REA), backfat thickness (BF), and rump fat thickness (RF). The (co)variance components were estimated using the restricted maximum likelihood method, considering single and two-traits animal models. For all traits, the models considered fixed, direct additive genetic, and residual random effects. In addition, for W120 and W210, the maternal additive genetic and maternal permanent environmental effects were also included. Heritabilities for W120, W210, W365, W550, SC365, REA, BF, and RF were of moderate magnitude (0.15, 0.16, 0.23, 0.19, 0.22, 0.36, 0.31, and 0.27, respectively). Low heritability was observed for AFC (0.07). The genetic correlations between growth traits were higher than 0.90, while AFC and SC365 presented negative moderate correlation (−0.66). The REA showed low genetic correlations with BF (0.07) and RF (0.07), whereas BF and RF were highly correlated (0.77). Considering the heritability estimates, selection for AFC would result in limited genetic gain, while for the other traits, it would be satisfactory. Based on the high genetic correlations between growth traits, selection of Tabapuã animals can be performed at younger ages. Additionally, animals can be indirectly selected for AFC through SC365, and only one fat thickness trait may be used in the selection process considering the high genetic correlation and similar heritability values for BF and RF.

RESUMO: O objetivo do presente estudo foi avaliar o efeito do ácido guanidinoacético (GAA) no desempenho de leitões, bem como um possível mecanismo de ação molecular no ganho de massa magra. Setenta e dois leitões, desmamados aos 21 dias, pesando 6,80 ± 1,2 kg, foram distribuídos em um delineamento inteiramente casualizado com três tratamentos dietéticos (controle, controle + 1,2 g / kg ou controle + 2,4 g / kg GAA) e 8 repetições por tratamento. A dieta controle não continha proteína animal e foi formulada a base de milho e farelo de soja. O desempenho dos animais foi avaliado aos 35, 49 e 56 dias. Ao final do experimento, um animal por unidade experimental foi abatido e amostras do músculo Vastus lateralis foram coletadas para análise de RT-qPCR e abundância de proteínas. A suplementação com GAA melhorou a eficiência alimentar (P<0,03) aos 56 dias. O músculo dos leitões suplementados apresentou maior expressão de mRNA de Akt (P<0,04) e RPS6KB2 (P <0,01). Em conclusão, a suplementação de 2,4 g / kg de GAA em leitões (21 a 56 d) melhora a eficiência alimentar e ativa mecanismos moleculares importantes para o ganho de massa magra.

ABSTRACT: The objective with the present study was to evaluate the effect of guanidinoacetic acid (GAA) on the growth performance of nursery piglets as well as a possible molecular mechanism of action on lean mass gain. Seventy-two pigs, weaned at 21 d, weighing 6.80 ± 1.2 kg were distributed in a completely randomized design into one of three dietary treatments (control, control + 1.2 g/kg GAA or control + 2.4 g/kg GAA) and 8 replicates per treatment. The control diet was an animal protein-free diet based on corn and soybean meal. Body weight, average daily weight gain, average daily feed intake and feed efficiency were evaluated at 35, 49, and 56 days. At the end of the experiment, one animal per pen was slaughtered and samples of the vastus lateralis muscle were collected for RT-qPCR and protein abundance analysis. Overall (from 21 to 56 d), GAA supplementation improved feed efficiency (P < 0.03). Skeletal muscle of pigs fed with GAA diet had greater mRNA expression of Akt (P < 0.04) and RPS6KB2 (P<0.01). In conclusion, supplementation with 2.4 g/kg GAA to nursery piglets improves feed efficiency and activates molecular mechanisms important to lean mass gain.

ABSTRACT: We evaluated the inclusion of information on genetic relationship into the analysis of crude protein requirement in diets for pigs of Brazilian Piau breed, using Bayesian inference. The animals were assigned to treatments in a completely randomized design in factorial scheme 4 × 2 (crude protein levels × sex) with 12 repetitions per treatment. The evaluations were carried out in the initial, growing and finishing phases, and after slaughter. The traits evaluated were feed conversion (FC), backfat thickness (BF), daily weight gain (DWG), daily feed intake (DFI) and some carcass cuts. Three models were considered to evaluate the inclusion of information on genetic relationship into the analysis: Model I, a simple linear model; Model II, the same effects of Model I with addition of the independent random effect of animal; and Model III, the same effects of Model II, but including the genetic relationship between the animals. Model III presented the best fit and was considered for later inferences. Crude protein (CP) levels did not significantly influence any of the evaluated traits. The effect of sex was significant only for the growing phase, while its interaction with protein levels presented an opposite result for all evaluated traits. Additionally, CP levels of 10.2 %, 9.6 % and 9.0 % can be used in diets for pigs of Brazilian Piau breed in the initial, growing and finishing phases, respectively.

Objetivou-se estimar parâmetros genéticos de características de carcaça, cortes de carcaça, qualidade de carne e desempenho de suínos em uma população F2 (Piau x linhagem comercial), para melhor se compreender a herança e a associação entre essas características. Para obter as estimativas de herdabilidades e correlações genéticas foi utilizado um modelo animal unicaracterístico e bicaracterístico, respectivamente, e os parâmetros foram estimados a partir dos componentes de variância e covariância, obtidos pelo método da máxima verossimilhança restrita por meio do programa MTDFREML. As herdabilidades estimadas, em modelo unicaracterístico, variaram de 0,10 a 0,43 para o grupo de características de carcaça, de 0,07 a 0,47 para cortes de carcaça, de 0,14 a 0,40 para qualidade de carne e de 0,18 a 0,86 para características de desempenho. As correlações genéticas estimadas em modelo bicaracterístico foram altas para algumas características, o que pode ser indicativo de que estas são controladas pelos mesmos genes ou genes ligados. Estudos futuros de mapeamento dos locos de características quantitativas, nesta população permitirão uma melhor compreensão das causas das correlações genéticas existentes entre as características, bem como determinar em qual região cromossômica localiza-se os locos de características quantitativas.

The aim of this work was to estimate genetic parameters for carcass, carcass cuts, meat quality and performance traits in an F2 swine population (Piau x commercial strain) in order to understand the inheritance of the traits and the association among them. Heritability estimates and genetic correlations were obtained using univariate and bivariate animal models, respectively, and (co)covariance components were obtained by means of restricted maximum likelihood analyses using the software MTDFREML. The heritability estimates using single trait model ranged from 0.10 to 0.43 for carcass, 0.07 to 0.47 for carcass cuts, 0.14 to 0.40 for meat quality and 0.18 to 0.86 for performance traits. The genetic correlation estimates using bi-trait model were high for several traits, showing that they are controlled by the same genes or linked genes. These results suggest that a better understanding of the genetic correlation among the traits, as well as, the quantitative trait loci position can be obtained by mapping studies in this population.

Registros de animais da raça Large White foram usados para estimar componentes de variância, parâmetros e tendências genéticas para a característica número total de leitões nascidos (NLT) como medida do tamanho de leitegada. Na obtenção dos componentes de variância e parâmetros genéticos, foi utilizado o método da Máxima Verossimilhança Restrita, por meio do programa MTDFREML. Foram avaliados dois modelos mistos (aditivo e de repetibilidade). O modelo aditivo continha efeito fixo de grupo contemporâneo e os seguintes efeitos aleatórios: genético aditivo direto e residual para o primeiro parto. O modelo de repetibilidade continha os mesmos efeitos do modelo aditivo mais o efeito fixo de ordem de parto e o efeito aleatório não-correlacionado de ambiente permanente do animal para o segundo, terceiro e quarto parto. As estimativas de herdabilidades aditivas diretas para NLT foram de 0,15 e 0,20 para os modelos aditivo e de repetibilidade, respectivamente. A estimativa da razão entre a variância do efeito não-correlacionado de ambiente permanente do animal e a variância fenotípica, expressa como proporção da variância total (c2), foi de 0,09. As estimativas de tendências genéticas anuais obtidas nos modelos aditivos e de repetibilidade têm comportamentos similares (em torno de 0,02 leitão/fêmea/ano).

Records of Large White breed animals were used to estimate variance components, genetic parameters and trends for the character total number of born piglets (TNBP) as measure of litter size. For obtaining variance components and genetic parameters, it was used the Restricted Maximum Likelihood Method using MTDFREML software. Two mixed models (additive and repeatability) were evaluated. The additive model contained fixed effect of the contemporary group and the following random effects: direct additive genetic and residual effect for the first parturition. Repeatability model had the same effects of the additive model plus parturition order fixed effect and non-correlated animal permanent environment random effect for the second, third and forth parturition. Direct additive heritability estimates for TNBP were 0.15 and 0.20 for the additive and repeatability models, respectively. The estimate of the ration among variance of the non-correlated effect of animal permanent environment effect and the phenotypic variance, expressed as total variance proportion (c2) was 0.09. The estimates of yearly genetic trends obtained in the additive and repeatability models have similar behaviors (0.02 piglets/sow/year).

Registros de animais da raça Large White foram utilizados para estimar componentes de co-variâncias e parâmetros genéticos para a característica número de leitões nascidos como medida do tamanho de leitegada. Na obtenção dos componentes de co-variâncias e dos parâmetros genéticos, utilizou-se o método da Máxima Verossimilhança Restrita, com o algoritmo Livre de Derivadas, por meio do programa MTDFREML. O modelo misto continha o efeito fixo de grupo contemporâneo e os efeitos aleatórios genético aditivo direto e residual. Dados das primeiras quatro parições foram usados em duas análises: análises unicaracterísticas e análise multicaracterística separada em séries de análises bicaracterísticas, na qual cada parição foi tratada como característica diferente. As estimativas de herdabilidades aditivas diretas para as parições obtidas nas análises multicaracterísticas foram consistentes com as estimativas obtidas nas análises unicaracterísticas, que variaram de 0,14 a 0,20. Estimativas de correlação fenotípica foram menores que as correlações genéticas. As correlações genéticas foram menores que 0,75 em todas as parições, exceto entre a terceira e a quarta parição, cuja correlação foi alta (0,91). A menor correlação genética foi observada entre a primeira e a segunda ordem de parto (0,60).

Data from the first four parities of Large White pigs were used to estimate (co)variance components and genetic parameters for litter size (LS) in single trait and multi-trait analyses. The (co)variance components and genetic parameters were estimated by restricted maximum likelihood using the MTDFREML program. LS in each parity was considered a different trait and the models included contemporary group as fixed effect and additive direct genetic and residual as random effects. Heritability estimates of LS in different parities in single trait analyses ranged from 0.14 to 0.20. Estimates of heritability in multi-trait analyses were similar to those obtained in single trait analyses. Phenotypic correlation estimates were lower than the genetic ones. Genetic correlations between parities were lower than 0.75, except for the estimate between the third and fourth parities, which was the highest one (0.91). The smallest genetic correlation (0.60) was observed between the first and second parities.

Um total de 38.865 registros de animais da raça Large White foi usado para estimar componentes de co-variância e parâmetros genéticos das características idade ao atingir 100 kg de peso vivo (IDA) e espessura de toucinho ajustada para 100 kg de peso vivo (ET), em análises bicaracterísticas. Para obtenção dos componentes de co-variância, foi utilizado o Amostrador de Gibbs por meio do programa MTGSAM. O modelo misto utilizado continha efeito fixo de grupo contemporâneo e os seguintes efeitos aleatórios: efeito genético aditivo direto, efeito genético aditivo materno, efeito comum de leitegada e efeito residual. As médias das estimativas de herdabilidade aditivas diretas foram 0,33 e 0,44 para IDA e ET, respectivamente. As médias das estimativas do efeito comum de leitegada foram 0,09 e 0,02 para IDA e ET, respectivamente. A estimativa de correlação genética aditiva entre as características foi próxima de zero (-0,015). As herdabilidades obtidas para as características de desempenho avaliadas indicam que ganhos genéticos satisfatórios podem ser obtidos no melhoramento de suínos da raça Large White para essas características e que a seleção simultânea para ambas as características pode ser realizada, uma vez que é baixa a correlação genética aditiva direta.

Data consisting of 38,865 records of Large White pigs were used to estimate genetic parameters for days to 100 kg (DAYS) and backfat thickness adjusted to 100 kg (BF). Covariance components were estimated by a bivariate mixed model including the fixed effect of contemporary group and the direct and maternal additive genetic, common litter and residual random effects using the Gibbs Sampling algorithm of the MTGSAM program. Estimates of direct and common litter effects for DAYS and BF were 0.33 and 0.44 and 0.09 and 0.02, respectively. Additive genetic correlation between DAYS and BF was close to zero (-0.015). The heritability estimates indicate that genetic gains may be obtained by selection and that both traits should be considered in a breeding program for the Large White breed.