Estimating genetic parameters of reproductive, carcass, and meat quality traits in Polled Nellore cattle.

Considering the economic and commercial efficiency of the beef production chain, the yield and quality of the meat produced must also be included in breeding programs. For the Nellore breed, including the polled herd, these aspects have not been much studied. The aim of this study was to estimate genetic parameters for scrotal circumference adjusted to 365 (SC365) and 450 (SC450) days of age, age at first calving (AFC), accumulated productivity (AP), stayability (STAY), longissimus muscle area (LMA), thickness of subcutaneous fat over the 12th-13th ribs (BF), thickness of subcutaneous fat over the rump (RF), and shear force measured by Warner-Bratzler shear force (WBSF) of polled Nellore cattle. Bayesian analyses were performed by adopting a linear animal model, whereas STAY analyses used the linear threshold model. Heritability estimates were 0.31 (SC365), 0.37 (SC450), 0.16 (AFC), 0.25 (AP), 0.16 (STAY), 0.30 (LMA), 0.13 (BF), 0.24 (RF), and 0.15 (WBSF), indicating moderate response to selection. Genetic and residual correlations between SC365 and SC450 were high (0.91 and 0.74, respectively), as well as the genetic correlations of AP with SC365, SC450, AFC, and STAY (0.61, 0.62, - 0.69, and 0.83, respectively). Genetic and residual correlations of WBSF with reproductive and carcass characteristics exhibited high standard deviations, however favorable. Based on the results, it is expected that in the medium term, animals with greater sexual precocity will also have greater accumulated productivity and longer permanence of females in the herd, along with superior carcass traits. However, due to the low heritabilities and small genetic associations with reproductive traits, fat thickness characteristics (BF and RF) will still require direct selection.

Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle.

Several methods have been used for genome-enabled prediction (or genomic selection) of complex traits, for example, multiple regression models describing a target trait with a linear function of a set of genetic markers. Genomic selection studies have been focused mostly on single-trait analyses. However, most profitability traits are genetically correlated, and an increase in prediction accuracy of genomic breeding values for genetically correlated traits is expected when using multiple-trait models. Thus, this study was carried out to assess the accuracy of genomic prediction for carcass and meat quality traits in Nelore cattle, using single- and multiple-trait approaches. The study considered 15 780, 15 784, 15 742 and 526 records of rib eye area (REA, cm2), back fat thickness (BF, mm), rump fat (RF, mm) and Warner-Bratzler shear force (WBSF, kg), respectively, in Nelore cattle, from the Nelore Brazil Breeding Program. Animals were genotyped with a low-density single nucleotide polymorphism (SNP) panel and subsequently imputed to arrays with 54 and 777 k SNPs. Four Bayesian specifications of genomic regression models, namely, Bayes A, Bayes B, Bayes Cπ and Bayesian Ridge Regression; blending methods, BLUP; and single-step genomic best linear unbiased prediction (ssGBLUP) methods were compared in terms of prediction accuracy using a fivefold cross-validation. Estimates of heritability ranged from 0.20 to 0.35 and from 0.21 to 0.46 for RF and WBSF on single- and multiple-trait analyses, respectively. Prediction accuracies for REA, BF, RF and WBSF were all similar using the different specifications of regression models. In addition, this study has shown the impact of genomic information upon genetic evaluations in beef cattle using the multiple-trait model, which was also advantageous compared to the single-trait model because it accounted for the selection process using multiple traits at the same time. The advantage of multi-trait analyses is attributed to the consideration of correlations and genetic influences between the traits, in addition to the non-random association of alleles.

Accuracy of genomic breeding values for meat tenderness in Polled Nellore cattle.

Zebu () cattle, mostly of the Nellore breed, comprise more than 80% of the beef cattle in Brazil, given their tolerance of the tropical climate and high resistance to ectoparasites. Despite their advantages for production in tropical environments, zebu cattle tend to produce tougher meat than Bos taurus breeds. Traditional genetic selection to improve meat tenderness is constrained by the difficulty and cost of phenotypic evaluation for meat quality. Therefore, genomic selection may be the best strategy to improve meat quality traits. This study was performed to compare the accuracies of different Bayesian regression models in predicting molecular breeding values for meat tenderness in Polled Nellore cattle. The data set was composed of Warner-Bratzler shear force (WBSF) of longissimus muscle from 205, 141, and 81 animals slaughtered in 2005, 2010, and 2012, respectively, which were selected and mated so as to create extreme segregation for WBSF. The animals were genotyped with either the Illumina BovineHD (HD; 777,000 from 90 samples) chip or the GeneSeek Genomic Profiler (GGP Indicus HD; 77,000 from 337 samples). The quality controls of SNP were Hard-Weinberg Proportion -value ≥ 0.1%, minor allele frequency > 1%, and call rate > 90%. The FImpute program was used for imputation from the GGP Indicus HD chip to the HD chip. The effect of each SNP was estimated using ridge regression, least absolute shrinkage and selection operator (LASSO), Bayes A, Bayes B, and Bayes Cπ methods. Different numbers of SNP were used, with 1, 2, 3, 4, 5, 7, 10, 20, 40, 60, 80, or 100% of the markers preselected based on their significance test (-value from genomewide association studies [GWAS]) or randomly sampled. The prediction accuracy was assessed by the correlation between genomic breeding value and the observed WBSF phenotype, using a leave-one-out cross-validation methodology. The prediction accuracies using all markers were all very similar for all models, ranging from 0.22 (Bayes Cπ) to 0.25 (Bayes B). When preselecting SNP based on GWAS results, the highest correlation (0.27) between WBSF and the genomic breeding value was achieved using the Bayesian LASSO model with 15,030 (3%) markers. Although this study used relatively few animals, the design of the segregating population ensured wide genetic variability for meat tenderness, which was important to achieve acceptable accuracy of genomic prediction. Although all models showed similar levels of prediction accuracy, some small advantages were observed with the Bayes B approach when higher numbers of markers were preselected based on their -values resulting from a GWAS analysis.

Production of citreoviridin by Penicillium citreonigrum strains associated with rice consumption and beriberi cases in the Maranhão State, Brazil.

The aim of this study was to determine the levels of Penicillium citreonigrum and citreoviridin present in rice samples from Maranhão State, Brazil, where an outbreak of beriberi was reported and 32 deaths occurred (7% of the notified cases died in 2006). The ability of P. citreonigrum to produce citreoviridin was assessed, and a total of 420 samples of 21 different kinds of rice were collected. Mycobiota isolation and identification, the ability of citreoviridin strains to produce toxin, and the natural occurrence of citreoviridin were established. Rice samples were found to have high fungal counts and showed increasing levels from 2004 to 2007 harvest years. The most frequent genus was Aspergillus followed by Penicillium and Cladosporium. Ten out of eleven strains of P. citreonigrum were able to produce citreoviridin. Three rice samples had levels of citreoviridin ranging from 12 to 96.7 ng g(-1), and two bran samples had levels of 128 and 254 ng g(-1). These samples contaminated with P. citreonigrum and citreoviridin were involved in the beriberi cases from Maranhão State. Monitoring rice for mycotoxins in areas where this substrate is the basic food is crucial to prevent outbreaks like the one reported in this study, to improve management practice, and to diminish exposure risk of humans to these harmful toxins.

Avaliação de ionóforos pela técnica da perda do potássio celular e produção de gases in vitro / Ionophores evaluation by intracellular potassium depletion and in vitro gas production

Dois estudos foram realizados com vacas lactantes utilizadas como unidade experimental e doadoras de líquido ruminal, sendo as populações de bactérias utilizadas para avaliar a ação de níveis crescentes de lasalocida e monensina na resistência à perda de potássio intracelular, e para produção de gases in vitro. A perda de potássio (Kmax) da lasalocida foi menor para a população de bactérias obtidas do líquido de rúmen de vacas submetidas a dietas com monensina, óleo de soja e monensina mais óleo de soja (19,4 a 25,4 por cento) quando comparada com a perda de potássio em vacas submetidas a dietas sem ionóforo e óleo de soja (30,1 por cento). O mesmo ocorreu para a perda de potássio da monensina, em que o menor valor foi de 6,5 por cento para monensina mais óleo e o maior, de 29,5 por cento, para o controle. Necessita-se de alta concentração de monensina (Kd= 2,3µM), porém baixa de lasalocida (Kd= 0,2µM) para causar a metade da perda máxima de potássio intracelular da população de bactérias do rúmen de vacas submetidas a dietas com monensina. As populações de bactérias de vacas submetidas às dietas com monensina foram sensíveis à lasalocida. As amostras incubadas com própolis produziram menor volume de gases (12,9ml/100g de MS)

Two studies were carried out with lactating cows as experimental units and ruminal fluid donors. The ruminal bacteria population was used to evaluate the action of increasing levels of lasalocid and monensin on resistance of intracellular potassium depletion and in vitro gas production intracellular depletion potassium (Kmax) of lasalocid was lower to ruminal bacteria population obtained from rumen of cows fed diets with monensin, soybean oil and monensin plus soybean oil (19.4 to 25.4 percent) when compared to cows fed with control diet (30.1 percent). The same occurred for intracellular depletion potassium (Kmax) of monensin, in which the lowest value was 6.5 percent to monensin plus soybean oil and the greatest was 29.5 percent to control. High monensin concentration (Kd= 2.3µM) and low lasalocid concentration (Kd= 0.2µM) were necessary to cause half of maximum potassium depletion in ruminal bacteria population from cows fed diet with monensin. The ruminal bacteria population from cows feed diet with monensin were sensible to lasalocid. In vitro gas production showed the lowest volume when diets were incubated with propolis (12,9ml/100g of DM)

Efeito do pH in vitro sobre a resistência de bactérias do rúmen à perda de potássio intracelular e efeito do pH e de ionóforos sobre a produção de amônia e proteína microbiana / In vitro effect of pH on resistance of ruminal bacteria to intracellular potassium depletion, and effect of pH and ionophores on ammonia and microbial protein production

Em dois estudos, o líquido ruminal de bovinos mantidos sob pastagem foi usado para incubação in vitro em diferentes meios artificiais com valores de pH 5,5 e 7,0, para avaliar a ação de níveis crescentes de monensina na resistência à perda de potássio de bactérias do rúmen e verificar o efeito de monensina e lasalocida na produção de amônia e de proteína microbiana em pH 5,5 e 7,0. O meio utilizado para determinar a perda de potássio interferiu nos valores absolutos de potássio. A concentração de monensina necessária para causar a metade da perda máxima de potássio foi de 2,77µM em pH 5,5 e 0,056µM em pH 7,0, evidenciando que as bactérias incubadas em meios com pH 5,5 foram mais resistentes à monensina que aquelas incubadas em meios com pH 7,0. Os ionóforos e a acidez do meio reduziram a produção de amônia, e não se observou interação entre eles. Os ionóforos, independente do pH, inibiram a produção de amônia em 56%. A acidez inibiu a produção de amônia em 50,5%, independente do ionóforo. Os efeitos dos ionóforos e da acidez foram aditivos quando a inibição máxima ocorreu pelo uso de ionóforos com pH baixo (75,2%). A produção de proteína microbiana foi menor quando a lasalocida estava presente no meio de cultura com baixo valor de pH.

Efeito do pH in vitro sobre a resistência de bactérias do rúmen à perda de potássio intracelular e efeito do pH e de ionóforos sobre a produção de amônia e proteína microbiana / In vitro effect of pH on resistance of ruminal bacteria to intracellular potassium depletion, and effect of pH and ionophores on ammonia and microbial protein production

Em dois estudos, o líquido ruminal de bovinos mantidos sob pastagem foi usado para incubação in vitro em diferentes meios artificiais com valores de pH 5,5 e 7,0, para avaliar a ação de níveis crescentes de monensina na resistência à perda de potássio de bactérias do rúmen e verificar o efeito de monensina e lasalocida na produção de amônia e de proteína microbiana em pH 5,5 e 7,0. O meio utilizado para determinar a perda de potássio interferiu nos valores absolutos de potássio. A concentração de monensina necessária para causar a metade da perda máxima de potássio foi de 2,77µM em pH 5,5 e 0,056µM em pH 7,0, evidenciando que as bactérias incubadas em meios com pH 5,5 foram mais resistentes à monensina que aquelas incubadas em meios com pH 7,0. Os ionóforos e a acidez do meio reduziram a produção de amônia, e não se observou interação entre eles. Os ionóforos, independente do pH, inibiram a produção de amônia em 56%. A acidez inibiu a produção de amônia em 50,5%, independente do ionóforo. Os efeitos dos ionóforos e da acidez foram aditivos quando a inibição máxima ocorreu pelo uso de ionóforos com pH baixo (75,2%). A produção de proteína microbiana foi menor quando a lasalocida estava presente no meio de cultura com baixo valor de pH.

Ruminal fluid from steers fed on pasture was incubated with artificial media at pH 5.5 and 7.0 in two experiments. In the first, the effect of monensin level on resistance of ruminal bacteria to potassium depletion was evaluated; in the second, effects of the ionophores monensin and lasalocid on ammonia and protein production were quantified. In experiment 1, culture media affected potassium level. The monensin concentration needed to cause half maximal potassium depletion was 2.77µM at pH 5.5 but was 0.056µM at pH 7.0, showing that bacteria incubated at pH 5.5 were more tolerant to monensin than those incubated at pH 7.0. Both ionophores as well as increased acidity caused decreased ammonia production. Both ionophores inhibited ammonia production by 56%, independently of pH. In cultures incubated at pH 5.5 compared to pH 7.0, ammonia production was decreased by 50.5%, independently of the ionophores. Therefore, effects of ionophores and acidity were additive, and the maximum inhibition occurred in the presence of an ionophore at low pH (75.2%). Microbial protein production was lowest when lasalocid was present in a low pH culture medium, causing inhibition of microbial growth.