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The objectives of this study were to estimate genetic parameters and genetic trends and perform principal component analysis for the following traits: body weight adjusted at 210 days of age (W210), one year (W365), and yearling or 450 days of age (W450); weight gain from birth to weaning or 210 days of age (WGBW), from weaning to 365 days of age (WGW365), and from one year to yearling (WGY); and scrotal circumference adjusted at 365 (SC365) and 450 (SC450) days of age of Guzera beef cattle. Variance components were estimated under a two-trait animal model using the restricted maximum likelihood method. The fixed effects included in the model were birth season, contemporary group, and covariable age of dam at calving as linear and quadratic effects. Heritability estimates ranged from 0.10 (WGY) to 0.41 (W450 and SC450). The studied traits could be used as selection criteria because of their sufficient additive genetic variability to respond to the selection process. However, lower selection efficiency is expected for WGBW and WGY. Genetic trends studied were significant for all traits, except WGY. The W365 and W450 traits belonged to the "Genetic Merit Total" index and responded to selection with favorable genetic gain per year. The traits that were not included in the selection index showed favorable positive genetic correlations attributed to the indirect selection processes. The principal component analysis identified two groups of traits. The first group related to body weight and weight gain and the second related to the scrotal circumference, indicating that selection could be applied to one group of traits within each observed group. The genetic gains were attributed in the same direction for the other traits belonging to the groups. Thus, we recommend selecting animals for W365 based on first group, and SC365 based on second.(AU)

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The objective of this study was to develop a bio-economic model for the estimation of economic values of economically important traits in a full-cycle beef cattle production system. The bioeconomic model calculated economic values by simulating the impact of changes in the profit of the system consisting of a 1% increase in each trait of the breeding objective, while the other traits were kept constant. The bio-economic model was effective in estimating the sources of revenues and expenses of the production system. The estimated economic values were, in the order of importance for the full-cycle system, R$ 3.69 for male slaughter weight, R$ 3.63 for male weaning weight, R$ 3.58 for weaning rate, R$ 3.40 for female slaughter weight, R$ 2.30 for female weaning weight, and R$ 0.13 for mature cow weight. The results showed that all traits evaluated in the full-cycle system had positive economic impact, indicating that selection would increase profitability maximizing the expected response for the traits of the breeding goal.

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The objective of this study was to develop a bio-economic model for the estimation of economic values of economically important traits in a full-cycle beef cattle production system. The bioeconomic model calculated economic values by simulating the impact of changes in the profit of the system consisting of a 1% increase in each trait of the breeding objective, while the other traits were kept constant. The bio-economic model was effective in estimating the sources of revenues and expenses of the production system. The estimated economic values were, in the order of importance for the full-cycle system, R$ 3.69 for male slaughter weight, R$ 3.63 for male weaning weight, R$ 3.58 for weaning rate, R$ 3.40 for female slaughter weight, R$ 2.30 for female weaning weight, and R$ 0.13 for mature cow weight. The results showed that all traits evaluated in the full-cycle system had positive economic impact, indicating that selection would increase profitability maximizing the expected response for the traits of the breeding goal.(AU)

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The causal mutation for polledness in Nelore (Bos taurus indicus) breed seems to have appeared first in Brazil in 1957. The expression of the polled trait is known to be ruled by a few groups of alleles in taurine breeds; however, the genetic basis of this trait in indicine cattle is still unclear. The aim of this study was to identify genomic regions associated with the hornless trait in a commercial Nelore population. A total of 107,294 animals had phenotypes recorded and 2,238 were genotyped/imputed for 777k SNP. The weighted single-step approach for genome-wide association study (WssGWAS) was used to estimate the SNP effects and variances accounted for by 1 Mb sliding SNP windows. A centromeric region of chromosome 1 with 3.11 Mb size (BTA1: 878,631-3,987,104 bp) was found to be associated with hornless in the studied population. A total of 28 protein-coding genes are mapped in this region, including the taurine Polled locus and the IFNAR1, IFNAR2, IFNGR2, KRTAP11-1, MIS18A, OLIG1, OLIG2, and SOD1 genes, which expression can be related to the horn formation as described in literature. The functional enrichment analysis by DAVID tool revealed cytokine-cytokine receptor interaction, JAK-STAT signaling, natural killer cell mediated cytotoxicity, and osteoclast differentiation pathways as significant (P < 0.05). In addition, a runs of homozygosity (ROH) analysis identified a ROH island in polled animals with 2.47 Mb inside the region identified by WssGWAS. Polledness in Nelore cattle is associated with one region in the genome with 3.1 Mb size in chromosome 1. Several genes are harbored in this region, and they may act together in the determination of the polled/horned phenotype. Fine mapping the locus responsible for polled trait in Nelore breed and the identification of the molecular mechanisms regulating the horn growth deserve further investigation.

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The objective of this study was to investigate the application of BLUP and single step genomic BLUP (ssGBLUP) models in different scenarios of paternity uncertainty with different strategies of scaling the G matrix to match the A22 matrix, using simulated data for beef cattle. Genotypes, pedigree, and phenotypes for age at first calving (AFC) and weight at 550 days (W550) were simulated using heritabilities based on real data (0.12 for AFC and 0.34 for W550). Paternity uncertainty scenarios using 0, 25, 50, 75, and 100% of multiple sires (MS) were studied. The simulated genome had a total length of 2,333 cM, containing 735,293 biallelic markers and 7,000 QTLs randomly distributed over the 29 BTA. It was assumed that QTLs explained 100% of the genetic variance. For QTL, the amount of alleles per loci randomly ranged from two to four. The BLUP model that considers phenotypic and pedigree data, and the ssGBLUP model that combines phenotypic, pedigree and genomic information were used for genetic evaluations. Four ways of scaling the mean of the genomic matrix (G) to match to the mean of the pedigree relationship matrix among genotyped animals (A22) were tested. Accuracy, bias, and inflation were investigated for five groups of animals: ALL = all animals; BULL = only bulls; GEN = genotyped animals; FEM = females; and YOUNG = young males. With the BLUP model, the accuracies of genetic evaluations decreased for both traits as the proportion of unknown sires in the population increased. The EBV accuracy reduction was higher for GEN and YOUNG groups. By analyzing the scenarios for YOUNG (from 0 to 100% of MS), the decrease was 87.8 and 86% for AFC and W550, respectively. When applying the ssGBLUP model, the accuracies of genetic evaluation also decreased as the MS in the pedigree for both traits increased. However, the accuracy reduction was less than those observed for BLUP model. Using the same comparison (scenario 0 to 100% of MS), the accuracies reductions were 38 and 44.6% for AFC and W550, respectively. There were no differences between the strategies for scaling the G matrix for ALL, BULL, and FEM groups under the different scenarios with missing pedigree. These results pointed out that the uninformative part of the A22 matrix and genotyped animals with paternity uncertainty did not influence the scaling of G matrix. On the basis of the results, it is important to have a G matrix in the same scale of the A22 matrix, especially for the evaluation of young animals in situations with missing pedigree information. In these situations, the ssGBLUP model is an appropriate alternative to obtain a more reliable and less biased estimate of breeding values, especially for young animals with few or no phenotypic records. For accurate and unbiased genomic predictions with ssGBLUP, it is necessary to assure that the G matrix is compatible with the A22 matrix, even in situations with paternity uncertainty.

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Estudos relacionados aos rebanhos de seleção situados nas novas fronteiras agrícolas do país são escassos, porém não menos importantes aos programas de melhoramento. O objetivo deste trabalho foi estimar parâmetros genéticos, efeitos não genéticos, tendência genética e resposta à seleção para características de crescimento (pesos padronizados aos 120, 210 e 450 dias) e reprodutivas (idade ao primeiro parto e perímetro escrotal aos 450 dias) de bovinos da raça Nelore criados na Amazônia Legal. O arquivo de dados consistia em 211.744 registros do PMGRN – Nelore Brasil, de animais nascidos entre 1995 e 2008 em rebanhos localizados nos Estados do AC, MA, MT, PA, RO e TO. O modelo animal considerou as cinco características simultaneamente. As herdabilidades para P120 foram: 0,24; 0,21 e 0,36 (direta, materna e total, respectivamente); para P210: 0,29; 0,16 e 0,45 e para P450, PE450 e IPP: 0,48; 0,49 e 0,22 (herdabilidades diretas). As correlações genéticas entre os pesos variaram de 0,51 a 0,78; entre os pesos e PE450 variaram de 0,26 a 0,46; entre os pesos e a IPP foram baixas e negativas, e entre PE450 e IPP foi nula. Os progressos genéticos foram superiores aos fenotípicos, com exceção da IPP. A resposta à seleção variou de 0,27 a 0,11 kg/ano; 0,49 a 0,20 kg/ano; 1,32 a 0,53 kg/ano; 0,08 a 0,03 cm/ano e 0,06 a 0,02 dias/ano para P120, P210, P450, PE450 e IPP, respectivamente. As características estudadas podem ser utilizadas como critérios de seleção.

Studies on the selection of herds located in the new agricultural borders of the country are scarce, but not less important than breeding programs. The objectives of this study were to estimate genetic parameters, non-genetic effects, genetic trends and responses to selection for growth (standardized weights at 120, 210, and 450 days) and reproductive traits (age at first calving and scrotal perimeter at 450 days) of Nelore cattle raised in the Amazon Legal region. The database consisted of 211,744 records of Nelore animals born between 1995 and 2008 from herds situated at the states of AC, MA, MT, PA, RO, and TO, participants in the PMGRN – Nelore Brazil. The animal model considered the five traits simultaneously. Heritabilities for P120 were: 0.24; 0.21 and 0.36 (h²d, h²m and h²t, respectively); for P210: 0.29; 0.16 and 0.45, and for P450, PE450 and IPP: 0.48; 0.49, and 0.22 (direct heritabilities). Genetic correlations among weights ranged from 0.51 to 0.78; between weights and PE450, the values ranged from 0.26 to 0.46; between weights and IPP, correlations were low and negative, and between PE450 and IPP, correlation were null. In all traits, genetic gains were greater than phenotypic gains, except for IPP. The response to selection ranged from 0.27 to 0.11 kg/year; from 0.49 to 0.20 kg/year; from 1.32 to 0.53 kg/year; from 0.08 to 0.03 cm/year; and from 0.06 to 0.02 days/year for P120, P210, P450, PE450, and IPP, respectively. The studied traits can be used as selection criteria in breeding programs.

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Estudos relacionados aos rebanhos de seleção situados nas novas fronteiras agrícolas do país são escassos, porém não menos importantes aos programas de melhoramento. O objetivo deste trabalho foi estimar parâmetros genéticos, efeitos não genéticos, tendência genética e resposta à seleção para características de crescimento (pesos padronizados aos 120, 210 e 450 dias) e reprodutivas (idade ao primeiro parto e perímetro escrotal aos 450 dias) de bovinos da raça Nelore criados na Amazônia Legal. O arquivo de dados consistia em 211.744 registros do PMGRN Nelore Brasil, de animais nascidos entre 1995 e 2008 em rebanhos localizados nos Estados do AC, MA, MT, PA, RO e TO. O modelo animal considerou as cinco características simultaneamente. As herdabilidades para P120 foram: 0,24; 0,21 e 0,36 (direta, materna e total, respectivamente); para P210: 0,29; 0,16 e 0,45 e para P450, PE450 e IPP: 0,48; 0,49 e 0,22 (herdabilidades diretas). As correlações genéticas entre os pesos variaram de 0,51 a 0,78; entre os pesos e PE450 variaram de 0,26 a 0,46; entre os pesos e a IPP foram baixas e negativas, e entre PE450 e IPP foi nula. Os progressos genéticos foram superiores aos fenotípicos, com exceção da IPP. A resposta à seleção variou de 0,27 a 0,11 kg/ano; 0,49 a 0,20 kg/ano; 1,32 a 0,53 kg/ano; 0,08 a 0,03 cm/ano e 0,06 a 0,02 dias/ano para P120, P210, P450, PE450 e IPP, respectivamente. As características estudadas podem ser utilizadas como critérios de seleção.(AU)

Studies on the selection of herds located in the new agricultural borders of the country are scarce, but not less important than breeding programs. The objectives of this study were to estimate genetic parameters, non-genetic effects, genetic trends and responses to selection for growth (standardized weights at 120, 210, and 450 days) and reproductive traits (age at first calving and scrotal perimeter at 450 days) of Nelore cattle raised in the Amazon Legal region. The database consisted of 211,744 records of Nelore animals born between 1995 and 2008 from herds situated at the states of AC, MA, MT, PA, RO, and TO, participants in the PMGRN Nelore Brazil. The animal model considered the five traits simultaneously. Heritabilities for P120 were: 0.24; 0.21 and 0.36 (h²d, h²m and h²t, respectively); for P210: 0.29; 0.16 and 0.45, and for P450, PE450 and IPP: 0.48; 0.49, and 0.22 (direct heritabilities). Genetic correlations among weights ranged from 0.51 to 0.78; between weights and PE450, the values ranged from 0.26 to 0.46; between weights and IPP, correlations were low and negative, and between PE450 and IPP, correlation were null. In all traits, genetic gains were greater than phenotypic gains, except for IPP. The response to selection ranged from 0.27 to 0.11 kg/year; from 0.49 to 0.20 kg/year; from 1.32 to 0.53 kg/year; from 0.08 to 0.03 cm/year; and from 0.06 to 0.02 days/year for P120, P210, P450, PE450, and IPP, respectively. The studied traits can be used as selection criteria in breeding programs.(AU)

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Genotype-environment interaction was studied by two different procedures in productive and reproductive traits of Nellore cattle. Data from adjusted weights at 120 (P120), 210 (P210), 450 (P450) days of age, scrotal circumference at 450 days of age (PE450) and age at first calving (IPP) for 211,744 records from Nellore herds located in the Legal Amazon region were used in the analysis. The effect of genotype-environment interaction was studied through heritability estimates and rank correlation, comparing the Legal Amazon animals with the general basis of animals PMGRN Nellore Brazil. Bi-trait analyses considered P120 as anchor-trait with P210, P450 and PE450 as another one. IPP has been analyzed separately in single-trait analysis and considering GCIPP as fixed and additive and residual effects as random. Estimates of heritability for P120, P210, P450, PE450 and IPP on the data of the Legal Amazon were: 0.20 to 0.49; 0.21; 0.48; 0.45; and 0.21, respectively, and in general data of PMGRN Nellore Brazil were: 0.23; 0.25; 0.34; 0.43 and 0.11, respectively. Correlations between rank for P120, P210, P450, PE450 and IPP were equal to 0.77; 0.79; 0.82; 0.78 and 0.38, respectively. The analysis of the genotype-environment interaction, through the heritability estimates, showed larger effects on maternal, weight at 450 days of age and age at first calving, whereas the rank correlations showed strong evidence in almost all traits studied.(AU)

A interação genótipo-ambiente (IGA) foi estudada por meio de dois procedimentos distintos, em características produtivas e reprodutivas de bovinos da raça Nelore. Dados de pesos padronizados aos 120 (P120); 210 (P210); 450 (P450) dias de idade, perímetro escrotal aos 450 dias de idade (PE450) e idade ao primeiro parto (IPP), de 211.744 registros de animais Nelore, criados na região da Amazônia Legal, foram utilizados na análise. O efeito da IGA foi estudado por meio de estimativas de herdabilidade e de correlações entre classificações, comparando os animais da Amazônia Legal com a base geral de animais do PMGRN Nelore Brasil. As análises bi-característica consideraram o P120 como característica-âncora, com P210; P450 e PE450. A característica IPP foi analisada separadamente, em análise de característica única e considerando como efeito fixo o GCIPP e como aleatórios os efeitos aditivos genético e residual. As estimativas de herdabilidade para P120; P210; P450; PE450 e IPP nos dados da Amazônia Legal foram: 0,20 a 0,49; 0,21; 0,48; 0,45 e 0,21, respectivamente, e nos dados gerais do PMGRN Nelore Brasil foram: 0,23; 0,25; 0,34; 0,43 e 0,11, respectivamente. As correlações entre classificações de rank para P120; P210; P450; PE450 e IPP foram iguais a 0,77; 0,79; 0,82; 0,78 e 0,38, respectivamente. As análises da IGA, por meio das estimativas de herdabilidade, evidenciaram maiores efeitos sobre os aspectos maternos, de peso aos 450 dias de idade e idade ao primeiro parto, enquanto que as correlações entre classificações mostraram fortes evidências em quase todas as características estudadas.(AU)

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Genotype-environment interaction was studied by two different procedures in productive and reproductive traits of Nellore cattle. Data from adjusted weights at 120 (P120), 210 (P210), 450 (P450) days of age, scrotal circumference at 450 days of age (PE450) and age at first calving (IPP) for 211,744 records from Nellore herds located in the Legal Amazon region were used in the analysis. The effect of genotype-environment interaction was studied through heritability estimates and rank correlation, comparing the Legal Amazon animals with the general basis of animals PMGRN Nellore Brazil. Bi-trait analyses considered P120 as anchor-trait with P210, P450 and PE450 as another one. IPP has been analyzed separately in single-trait analysis and considering GCIPP as fixed and additive and residual effects as random. Estimates of heritability for P120, P210, P450, PE450 and IPP on the data of the Legal Amazon were: 0.20 to 0.49; 0.21; 0.48; 0.45; and 0.21, respectively, and in general data of PMGRN Nellore Brazil were: 0.23; 0.25; 0.34; 0.43 and 0.11, respectively. Correlations between rank for P120, P210, P450, PE450 and IPP were equal to 0.77; 0.79; 0.82; 0.78 and 0.38, respectively. The analysis of the genotype-environment interaction, through the heritability estimates, showed larger effects on maternal, weight at 450 days of age and age at first calving, whereas the rank correlations showed strong evidence in almost all traits studied.

A interação genótipo-ambiente (IGA) foi estudada por meio de dois procedimentos distintos, em características produtivas e reprodutivas de bovinos da raça Nelore. Dados de pesos padronizados aos 120 (P120); 210 (P210); 450 (P450) dias de idade, perímetro escrotal aos 450 dias de idade (PE450) e idade ao primeiro parto (IPP), de 211.744 registros de animais Nelore, criados na região da Amazônia Legal, foram utilizados na análise. O efeito da IGA foi estudado por meio de estimativas de herdabilidade e de correlações entre classificações, comparando os animais da Amazônia Legal com a base geral de animais do PMGRN Nelore Brasil. As análises bi-característica consideraram o P120 como característica-âncora, com P210; P450 e PE450. A característica IPP foi analisada separadamente, em análise de característica única e considerando como efeito fixo o GCIPP e como aleatórios os efeitos aditivos genético e residual. As estimativas de herdabilidade para P120; P210; P450; PE450 e IPP nos dados da Amazônia Legal foram: 0,20 a 0,49; 0,21; 0,48; 0,45 e 0,21, respectivamente, e nos dados gerais do PMGRN Nelore Brasil foram: 0,23; 0,25; 0,34; 0,43 e 0,11, respectivamente. As correlações entre classificações de rank para P120; P210; P450; PE450 e IPP foram iguais a 0,77; 0,79; 0,82; 0,78 e 0,38, respectivamente. As análises da IGA, por meio das estimativas de herdabilidade, evidenciaram maiores efeitos sobre os aspectos maternos, de peso aos 450 dias de idade e idade ao primeiro parto, enquanto que as correlações entre classificações mostraram fortes evidências em quase todas as características estudadas.

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The aim of this study was to estimate the components of variance and genetic parameters for the visual scores which constitute the Morphological Evaluation System (MES), such as body structure (S), precocity (P) and musculature (M) in Nellore beef-cattle at the weaning and yearling stages, by using threshold Bayesian models. The information used for this was gleaned from visual scores of 5,407 animals evaluated at the weaning and 2,649 at the yearling stages. The genetic parameters for visual score traits were estimated through two-trait analysis, using the threshold animal model, with Bayesian statistics methodology and MTGSAM (Multiple Trait Gibbs Sampler for Animal Models) threshold software. Heritability estimates for S, P and M were 0.68, 0.65 and 0.62 (at weaning) and 0.44, 0.38 and 0.32 (at the yearling stage), respectively. Heritability estimates for S, P and M were found to be high, and so it is expected that these traits should respond favorably to direct selection. The visual scores evaluated at the weaning and yearling stages might be used in the composition of new selection indexes, as they presented sufficient genetic variability to promote genetic progress in such morphological traits.