Genome-enabled prediction of indicator traits of resistance to gastrointestinal nematodes in sheep using parametric models and artificial neural networks.

This study aimed to assess the predictive ability of parametric models and artificial neural network method for genomic prediction of the following indicator traits of resistance to gastrointestinal nematodes in Santa Inês sheep: packed cell volume (PCV), fecal egg count (FEC), and Famacha© method (FAM). After quality control, the number of genotyped animals was 551 (PCV), 548 (FEC), and 565 (FAM), and 41,676 SNP. The average prediction accuracy (ACC) calculated by Pearson correlation between observed and predicted values and mean squared errors (MSE) were obtained using genomic best unbiased linear predictor (GBLUP), BayesA, BayesB, Bayesian least absolute shrinkage and selection operator (BLASSO), and Bayesian regularized artificial neural network (three and four hidden neurons, BRANN_3 and BRANN_4, respectively) in a 5-fold cross-validation technique. The average ACC varied from moderate to high according to the trait and models, ranging between 0.418 and 0.546 (PCV), between 0.646 and 0.793 (FEC), and between 0.414 and 0.519 (FAM). Parametric models presented nearly the same ACC and MSE for the studied traits and provided better accuracies than BRANN. The GBLUP, BayesA, BayesB and BLASSO models provided better accuracies than the BRANN_3 method, increasing by around 23% for PCV, and 18.5% for FEC. In conclusion, parametric models are suitable for genome-enabled prediction of indicator traits of resistance to gastrointestinal nematodes in sheep. Due to the small differences in accuracy found between them, the use of the GBLUP model is recommended due to its lower computational costs.

Genetic effects of heat stress on milk fatty acids in Brazilian Holstein cattle.

The present study aimed to estimate covariance components of milk fatty acids (FA) and to compare the genomic estimated breeding values under general and heat-stress effects. Data consisted of 38,762 test-day records from 6,344 Holstein cows obtained from May 2012 through January 2018 on 4 dairy herds from Brazil. Single-trait repeatability test-day models with random regressions as a function of temperature-humidity index values were used for genetic analyses. The models included contemporary groups, parity order (1-6), and days in milk classes as fixed effects, and general and thermotolerance additive genetic and permanent environmental as random effects. Notably, differences in heritability estimates between environments (general and heat stress) increased (0.03 to 0.06) for unsaturated FA traits, such as unsaturated, monounsaturated, and polyunsaturated, at higher heat-stress levels. In contrast, heritability estimated between environments for saturated FA traits, including saturated FA, palmitic acid (C16:0), and stearic acid (C18:0) did not observe significant differences between environments. In addition, our study revealed negative genetic correlations between general and heat-stress additive genetic effects (antagonistic effect) for the saturated FA, C16:0, C18:0, and C18:1, which ranged from -0.007 to -0.32. Spearman's ranking correlation between genomic estimated breeding values ranged from -0.27 to 0.99. Results indicated a moderate to strong interaction of genotype by the environment for most FA traits comparing a heat-stress environment with thermoneutral conditions. Our findings point out novel opportunities to explore the use of FA milk profile and heat-stress models.

Genome-wide association study and pathway analysis for carcass fatness in Nellore cattle measured by ultrasound.

Identifying genes or genomic regions influencing carcass-quality traits such as fatness (FTN) is essential to optimize the genetic selection processes in beef cattle. The aim of this study was to identify genomic regions associated with FTN in Nellore cattle as well as to elucidate the metabolic pathways related to the phenotypic expression. Ultrasound-based measurements of FTN were collected in 11 750 animals, with 39 903 animals in the pedigree file. Additionally, 1440 animals were genotyped using the GGP-indicus 35K SNP panel, which contained 33 623 SNPs after quality control. Twenty genes related to FTN were found on 11 chromosomes, explaining 12.96% of the total additive genetic variance. Gene ontology revealed seven genes: NR1L2, PKD2, GSK3ß, EXT1, RAD51B, SORCS1 and DPH6, associated with important processes related to FTN. In addition, novel candidate genes (MAATS1, LYPD1, CDK5RAP2, RAD51B, c13H2Oorf96 and TRAPPC11) were detected and could provide further knowledge to uncover genetic regions associated to carcass fatness in beef cattle.

Quantitative trait loci for morphometric and mineral composition traits of the tibia bone in a broiler × layer cross.

Many economic losses occur in the poultry industry due to leg fragility. Knowing the genomic regions that influence traits associated with the growth and composition of the leg's bone can help to improve the selection process leading to increased leg resistance to fracture. The present study aimed to map quantitative trait loci (QTL) for mineral composition and morphometric traits of the tibia in 478 animals from an F2 broiler × layer cross. The measurement of weight, length and width of Tibia was carried out at 42 days of age. Ash, dry matter, levels of calcium (Ca), phosphorus (P), magnesium (Mg), Zinc (Zn) and Calcium:Phosphorus (Ca:P) ratio were also recorded. The population was genotyped for 128 microsatellite markers and one single nucleotide polymorphism, covering 2630 cM of the chicken genome. A likelihood ratio test was performed to find QTLs. Additive and dominance effects of the QTLs were included in the model. In the chromosomes 2 (GGA2), 6 (GGA6), 8 (GGA8), 24 (GGA24) and 26 (GGA26) some suggestive QTLs (P<0.00276) were mapped for tibia weight (GGA2 and GGA26), ash percentage (GGA2 and GGA6), dry matter percentage (GGA2), Ca (GGA8 and GGA24) and Ca:P ratio (GGA8), many of which are close to genes already identified as good candidates for those traits. The suggestive QTL on GGA2 has a pleiotropic effect on ash percentage, dry matter and bone weight, whereas in the GGA8 there seems to be two QTLs, one for Ca and another for Ca:P ratio. Thus, this study identified at least five genomic regions, in different chromosomes, that can be targeted for further research to identify potential mutations influencing the development and composition of leg bones in Gallus gallus.

Single nucleotide polymorphisms in the growth hormone and IGF type-1 (IGF1) genes associated with carcass traits in Santa Ines sheep.

Polymorphisms in the growth hormone (GH) and IGF type-1 (IGF1) genes have been associated with the economic traits in farm animals, including BW of some sheep breeds. However, it remains unknown if these polymorphisms also affect carcass traits in sheep. Thus, we aimed to identify polymorphisms in the GH and IGF1 genes in Santa Ines sheep in order to describe their allelic and genotypic frequencies as well as to test the hypotheses that they are associated with the carcass traits. Fragments of 4550 bp (IGF1) and 1194 bp (GH) were sequenced in up to 191 lambs. In all, 18 polymorphisms were identified in the IGF1 and 21 in the GH gene. The IGF1 polymorphisms rs430457475, rs412470350, rs409110739 and rs400113576 showed an additive effect on the internal carcass length (-0.9265±0.4223), rump girth (-2.9285±1.1473), rib yield (-1.0003±0.4588) and neck weight (-0.0567±0.0278), respectively. In addition, the polymorphisms rs58957314 in the GH affected the rib weight (-0.4380±0.1272) and rib yield (-2.2680±0.6970), loin weight (-0.1893±0.0516) and loin yield (-0.9423±0.3259), palette weight (-0.2265±0.0779) and palette yield (-0.9424±0.4184), leg weight (-0.3960±0.1375), neck weight (-0.0851±0.0394) and carcass finishing score (-0.1700±0.0839). These results allow us to conclude that there are polymorphisms in the IGF1 and GH genes associated with carcass traits in Santa Ines sheep, which can provide important information for marker-assisted selection.

Parâmetros genéticos e efeitos de sexo e cruzamento recíproco sobre características de interesse econômico em aves F2 / Genetic parameters and effects of sex and reciprocal cross on economic traits in F2 broilers

Este estudo teve por objetivo estimar os parâmetros genéticos de características de interesse econômico, mensuradas em populações F2 desenvolvidas pela Embrapa Suínos e Aves utilizando cruzamento recíproco entre linhagens de corte e de postura. Ainda, foram avaliados os efeitos de sexo e de cruzamento recíproco sobre as características em estudo. Os pesos com um, 35 e 42 dias de idade; ganho de peso; consumo de ração e conversão alimentar entre 35 e 41 dias de idade; pesos dos pulmões, fígado, coração, moela, peito, pernas, carcaça, dorso, asas, cabeça, pés e gordura abdominal, além do comprimento do intestino, foram os fenótipos estudados. Foram estimados os componentes de variâncias genética aditiva e residual, além dos coeficientes de herdabilidade e das correlações genética e fenotípica. Os machos apresentaram maior peso para todas as características estudadas, nos dois cruzamentos recíprocos, exceto para gordura abdominal na população oriunda do cruzamento de machos de postura com fêmeas de corte. Os animais oriundos do cruzamento de machos de postura com fêmeas de corte foram mais pesados que os recíprocos, para todas as idades, além de apresentarem maior comprimento de intestino e maiores pesos de moela, carcaça, dorso, peito e cabeça. Os coeficientes de herdabilidade foram altos para consumo de ração e para os pesos ao nascimento, da moela e da gordura abdominal. As correlações fenotípicas estimadas foram, em sua maioria, baixas ou moderadas, contudo muitas correlações genéticas altas foram observadas. Ressalta-se que houve expressiva diferença nos coeficientes de herdabilidade de algumas características em função do cruzamento recíproco estudado, o que pode ser devido a efeitos materno, citoplasmático, ligados ao sexo ou imprinting.(AU)

This study aimed to estimate genetic parameters for several economic traits in F2 populations developed by Embrapa Swine and Poultry National Research Center, through reciprocal crosses of broilers and layer lines. Furthermore, sex and reciprocal cross effects were evaluated. Weights at 1, 35 and 42 days of age; weight gain, feed intake and feed conversion between 35 and 41 days of age; weights of the lungs, heart, liver, gizzard, breast, thighs, carcass, back, wings, head, legs and abdominal fat; and intestine length were studied. Residual and genetic additive variance components, heritability coefficients, and genetic and phenotypic correlations were estimated. Males were heavier than females for all studied traits in both reciprocal crosses, except for abdominal fat weight in chickens from the male layer x female broiler cross. Chickens from male layer x female broiler cross were heavier than those from its reciprocal cross, also having larger intestine length and gizzard, carcass, back, breast and head weights. The heritability coefficients were high for feed intake and body weight at birth, gizzard, and abdominal fat. The estimated phenotypic correlations were mostly lower or moderate, however, most high genetic correlations were observed. We found significant differences in heritability coefficients for some traits due to the reciprocal cross, which may be due maternal, cytoplasmic, sex-linked or imprinting effects.(AU)

Visual body-scores selection and its influence on body size and ultrasound carcass traits in Nellore cattle.

Genetic parameters, genetic trends, and genetic progress of carcass traits were estimated for 12,447 Nellore individuals from different Brazilian herds. The following carcass traits were analyzed: visual body scores of conformation (CONF), precocity (PREC), and muscularity (MUSC); rump width (RW) and rump length (RL), body size (frame); and ultrasound evaluation of ribeye area (REA), backfat thickness (BFT), and rump fat thickness (RFT). Heritability estimates (± SE) for CONF, PREC, and MUSC were 0.23 ± 0.02, 0.33 ± 0.03, and 0.31 ± 0.02, respectively. The heritability estimates (± SE) for RW, RL, and frame were 0.25 ± 0.05, 0.16 ± 0.04, and 0.31 ± 0.03, respectively. Ultrasound of the REA, BFT, and RFT presented mean heritability estimates (± SE) of 0.38 ± 0.03, 0.44 ± 0.04, and 0.47 ± 0.04, respectively. The visual body score of CONF had high genetic correlations with RW, RL, and frame (0.74 ± 0.09, 0.82 ± 0.08, and 0.83 ± 0.04, respectively), indicating a high association of CONF with the measurements related to body structure. The REA had no correlation with BFT and RFT (-0.09 ± 0.04 and -0.03 ± 0.04, respectively) and showed only a moderate genetic correlation with MUSC (0.39 ± 0.05). The BFT and RFT had moderate genetic correlations with PREC (0.36 ± 0.07 and 0.29 ± 0.07, respectively) and no correlation with frame (-0.02 ± 0.03 and 0.05 ± 0.05, respectively), suggesting that selection for frame had no effect on the subcutaneous fat content of the carcass. Low genetic trends and low genetic progress were obtained for REA (0.026 cm, 0.02%), BFT (0.0031 mm, 0.05%), and RFT (0.0013 mm, 0.02%), with no significant values of genetic progress detected throughout the studied period. The CONF, PREC, and MUSC presented high genetic trends (0.030 points, 0.030 points, and 0.029 points, respectively) and high genetic progress (0.60%, 0.56%, and 0.59%, respectively), indicating a significant genetic progress for these traits throughout the evaluated period. Carcass traits evaluated by ultrasound and visual body scores are eligible for selection and can be used in genetic improvement programs in Nellore cattle; however, visual body score selection for carcass traits can result in slower genetic progress for carcass quality when compared to selection performed by ultrasound.

Utilização de modelos unicaracterística e multicaracterística na estimação de parâmetros genéticos na raça Nelore / Utilization of single-trait and multi-trait models applied to genetic parameter estimation in Nellore Cattle

Estimativas dos parâmetros genéticos e dos componentes de covariância para peso ao nascimento (PN), peso à desmama (PD), circunferência escrotal (CE), ganho de peso pós-desmama (GP) e musculosidade (MUSC) foram obtidas com modelos unicaracterística, bicaracterística e multicaracterística, utilizando-se um banco de dados de 69.525 animais da raça Nelore. Os parâmetros foram estimados pelo método da máxima verossimilhança restrita, com modelos que incluíram o efeito genético aditivo direto e materno, além do grupo de manejo a desmama e de ambiente permanente da vaca, todos como aleatórios, e do efeito fixo de grupo de contemporâneo. Os coeficientes de herdabilidade estimados para as características pós-desmama com o modelo multicaracterística (0,45; 0,31 e 0,25, respectivamente, para CE, GP e MUSC) foram maiores que as estimativas obtidas com os modelos unicaracterística (0,42; 0,21 e 0,22) e bicaracterística (0,39; 0,25 e 0,24). Da mesma forma, as correlações genéticas estimadas foram, em grande parte, maiores para o modelo multicaracterística. Estes resultados indicam que a redução do viés, proporcionada pelo modelo multicaracterística, aumenta as estimativas dos parâmetros genéticos e demonstra que os resultados com análises unicaracterística e bicaracterística são subestimados. Os resultados da resposta à seleção demonstraram que a musculosidade apresentou grande potencial seletivo, e o cálculo das respostas correlacionadas de musculosidade e demais características estudadas demonstrou que sua utilização em programas de seleção pode ser vantajosa aos criadores...

Genetic parameters and components of (co)variance for birth weight (BW), weaning weight (WW), scrotal circumference (SC), weight gain at post-weaning (WG), and muscle score (MUSC) were obtained with univariate, bivariate and multivariate models, using a dataset of 69,525 Nellore cattle. The parameters were estimated by restricted maximum likelihood method. Direct and maternal additive genetic effects, group of management, and maternal permanent environmental effect were adjusted as random effects, while contemporary group was adjusted as fixed effect. Multivariate approach allowed higher estimate heritability for postweaning traits (0.45; 0.31 and 0.25, respectively for SC, WG and MUSC) than univariate (0,42; 0,21 and 0,22) and bivariate models (0,39; 0,25 and 0,24). Similarly, the genetic correlations were higher in the multivariate approach. These results indicate that reducing the bias provided by the mutivariate model improves the estimates of genetic parameters and shows that the results of bivariate and univarite models are underestimated. Selection for muscle score presented great potential for correlated response in other traits and its use in selection programs can be a useful tool for breeders...

Comparison of bivariate and multivariate joint analyses on the selection loss of beef cattle.

For genetic evaluation of beef cattle, univariate or bivariate analyses are often performed as an alternative to decrease the complexity of matrices and mathematical models compared to multivariate analysis, which considers a larger number of joint traits. The use of bivariate methods to calculate genetic predictors may cause bias in the estimation of breeding values and, as a consequence, reclassification of the rank of top-selected sires, resulting in a loss of genetic gain in future generations. The objective of this study was to compare the bivariate and multivariate joint methods of genetic evaluation, verifying the selection loss, and reclassification of the ranking of the best animals with different selection intensities. Records of 431,224 Nellore breed animals were evaluated for birth weight, weaning weight, post-weaning gain, muscle score, scrotal circumference, and selection index. The pedigree file consisted of 505,848 animals, including 218,727 males and 287,121 females. The predicted breeding values were obtained using the program PEST 2, and the complete pedigree analysis was performed by the PopReport software. The results showed that, for the four different selection intensities considered (TOP 10 and 1, 10, and 30%), selection loss and reclassification of animals in ranking, were detected for all traits evaluated when the two methods of analysis were compared.

Use of weaning management group as a random effect for a more robust estimation of genetic parameters for post-weaning traits in Nellore cattle.

Data from 69,525 animals were used to compare two types of analyses, one of them having the weaning management group (WEMANG) included as an effect in the contemporary group (F_WEMANG) and the other considering the weaning management group as a random effect, not related to the mathematical model (R_WEMANG) for post-weaning traits. The components of (co)variance were estimated for pre-weaning traits (birth weight and weaning weight) and for post-weaning traits [scrotal circumference (SC), weight gain from weaning to 18 months of age (WG) and muscle score (MUSC)] in Nellore cattle, based on a complete animal model. Heritability of SC, WG and MUSC for the F_WEMANG model was equal to 0.46 ± 0.02, 0.38 ± 0.03 and 0.26 ± 0.01, and for the R_WEMANG model it was 0.45 ± 0.02, 0.31 ± 0.03 and 0.25 ± 0.01, respectively. Genetic correlations between all the studied traits varied between 0.07 ± 0.01 and 0.77 ± 0.03 in F_WEMANG and between 0.02 ± 0.01 and 0.76 ± 0.04 in R_WEMANG. The R_ WEMANG model allowed a decrease in the number of contemporary groups as well as an increase in the number of observations per group without significant alterations in heritability coefficients, for the post-weaning traits. Consequently, the analysis became more robust and avoided having contemporary groups with low variability.

Genetic parameters for scrotal circumference, breeding soundness examination and sperm defects in young Nellore bulls.

A total of 51,161 records of scrotal circumference measurements at 18 mo of age (SC18) and 17,648 records of sperm defects and breeding soundness of Nellore bulls (mean age of 22.5 mo), raised under extensive conditions, were analyzed to estimate coefficients of heritability and genetic correlations of morphological semen traits by Bayesian inference. The observed semen traits were classified as minor (MID), major (MAD), and total sperm defects (TD). The animals were classified according to breeding soundness as satisfactory and unsatisfactory potential breeders. The (co)variance components and breeding values were estimated by Gibbs sampling using the GIBBS2F90 program under an animal model that included contemporary group as fixed effect, age of animal as linear covariate, and direct additive genetic effects as random effects. Heritabilities of 0.40 ± 0.02, 0.16 ± 0.02, 0.04 ± 0.01, 0.15 ± 0.01, and 0.10 ± 0.01 were obtained for SC18, MID, MAD, TD, and breeding soundness, respectively. The SC18 showed a positive and moderate correlation with breeding soundness (0.56 ± 0.04) and a negative and low correlation with MID (-0.23 ± 0.03), MAD (-0.16 ± 0.02), and TD (-0.24 ± 0.02). In conclusion, scrotal circumference showed the best response to selection among the traits studied and was favorably correlated with breeding soundness and sperm morphology in young Nellore bulls.

Single nucleotide polymorphisms in CAPN and leptin genes associated with meat color and tenderness in Nellore cattle.

We analyzed single nucleotide polymorphisms in calpain, leptin, leptin receptor, and growth hormone receptor genes and their association with color, drip and cooking losses of longissimus muscle at 7, 14 and 21 days postmortem in 638 purebred Nellore bulls slaughtered between 22 and 26 months of age. Meat samples were vacuum-packed and aged at 4°C. The single nucleotide polymorphisms T945M, GHR2, E2FB, and CAPN4751 were evaluated. All genotypic classes were observed; however, the T/T genotype of T945M and E2FB was found at a low frequency. A significant association of E2FB with drip loss (a measure of water-holding capacity) was detected at seven days of meat aging. CAPN4751 had an additive effect on red and yellow color intensities. The T allele of CAPN4751 was found to be positively associated with improved meat color, but not with meat tenderness, differing from a previous report indicating that it is associated with meat tenderness. We conclude that the potential for use of CAPN4751 as a marker for these meat quality traits requires further research.

Testicular traits as selection criteria for young Nellore bulls.

The objective of this study was to evaluate the possible use of biometric testicular traits as selection criteria for young Nellore bulls using Bayesian inference to estimate heritability coefficients and genetic correlations. Multitrait analysis was performed including 17,211 records of scrotal circumference obtained during andrological assessment (SCAND) and 15,313 records of testicular volume and shape. In addition, 50,809 records of scrotal circumference at 18 mo (SC18), used as an anchor trait, were analyzed. The (co)variance components and breeding values were estimated by Gibbs sampling using the Gibbs2F90 program under an animal model that included contemporary groups as fixed effects, age of the animal as a linear covariate, and direct additive genetic effects as random effects. Heritabilities of 0.42, 0.43, 0.31, 0.20, 0.04, 0.16, 0.15, and 0.10 were obtained for SC18, SCAND, testicular volume, testicular shape, minor defects, major defects, total defects, and satisfactory andrological evaluation, respectively. The genetic correlations between SC18 and the other traits were 0.84 (SCAND), 0.75 (testicular shape), 0.44 (testicular volume), -0.23 (minor defects), -0.16 (major defects), -0.24 (total defects), and 0.56 (satisfactory andrological evaluation). Genetic correlations of 0.94 and 0.52 were obtained between SCAND and testicular volume and shape, respectively, and of 0.52 between testicular volume and testicular shape. In addition to favorable genetic parameter estimates, SC18 was found to be the most advantageous testicular trait due to its easy measurement before andrological assessment of the animals, even though the utilization of biometric testicular traits as selection criteria was also found to be possible. In conclusion, SC18 and biometric testicular traits can be adopted as a selection criterion to improve the fertility of young Nellore bulls.

Influência da interação genótipo x ambiente sobre o peso à desmama em bovinos da raça Nelore / Influence of genotype x environment interaction on weaning weight in Nellore cattle

Avaliaram-se os efeitos da interação genótipo x ambiente sobre a característica peso à desmama em bovinos da raça Nelore. Foram analisados 45.697 registros de peso à desmama ajustados para 205 dias, originários de três fazendas. Estas foram organizadas em duplas e analisadas por meio de análises de características únicas, considerando cada dupla como um só rebanho. Em seguida, as mesmas duplas foram submetidas a análises de características múltiplas, em que o peso à desmama de cada fazenda foi considerado como característica distinta dentro de sua respectiva dupla. Os componentes de variância foram estimados por máxima verossimilhança restrita, utilizando-se o programa MTDFREML. Os coeficientes de correlação genética encontrados variaram de 0,79 a 1,00. Foram também estimadas as diferenças esperadas de progênies (DEPs), utilizando-se o mesmo programa computacional. Posteriormente, os touros foram ordenados conforme os valores de suas respectivas DEPs, selecionando-se os 30 por cento mais bem classificados. Com base nas DEPs, estimou-se a correlação momento-produto de Pearson para os animais selecionados em dois diferentes ambientes, de modo a verificar as diferenças de ordenação. As correlações de Pearson estenderam-se de 0,96 a 0,99, sugerindo pequeno ou nenhum efeito da interação genótipo x ambiente nos rebanhos incluídos neste estudo.

The effects of genotype x environment interaction on weaning weight in Nellore cattle were evaluated. A total of 45,697 records of weaning weight adjusted for 205 days obtained from three farms were analyzed. The farms were organized in pairs and analyzed by single-trait analysis, as if they were only one herd. Afterwards, the pairs were submitted to multiple-trait analyses, once the same trait was considered as a distinct trait in each farm. The variance components were estimated by Restricted Maximum Likelihood, using the program MTDFREML. The genetic correlation coefficients varied from 0.79 to 1.00. The Expected Progeny Differences (EPD) were estimated using de same computational program. Later, the sires were organized in accordance with their EPD, selecting the 30 percent best classified sires. Pearson's correlations were estimated among the EPD of animals selected in two different environments, in order to verify changes in their classification. The Pearson's correlations extended from 0.96 to 0.99, suggesting small or inexistent effect of genotype x environment interaction in the herds included in this study.