Predicting beef carcass retail products of Mediterranean buffaloes by real-time ultrasound measures

Twenty eight Mediterranean buffaloes bulls were scanned with real-time ultrasound (RTU), slaughtered, and fabricated into retail cuts to determine the potential for ultrasound measures to predict carcass retail yield. Ultrasound measures of fat thickness, ribeye area and rump fat thickness were recorded three to five days prior to slaughter. Carcass measurements were taken, and one side of each carcass was fabricated into retail cuts. Stepwise regression analysis was used to compare possible models for prediction of either kilograms or percent retail product from carcass mesaurements and ultrasound measures. Results indicate that possible prediction models for percent or kilograms of retail products using RTU measures were similar in their predictive power and accuracy when compared to models derived from carcass measurements. Both fat thickness and ribeye area were over-predicted when measured ultrasonically compared to measurements taken on the carcass in the cooler. The mean absolute differences for both traits are larger than the mean differences, indicating that some images were interpreted to be larger and some smaller than actual carcass measurements. Ultrasound measurements of REA and FT had positive correlations with carcass measures of the same traits (r=.96 for REA and r=.99 for FT). Standard errors of prediction currently are being used as the standard to certify ultrasound technicians for accuracy. Regression equations using live weight (LW), rib eye area (REAU) and subcutaneous fat thickness (FTU) between 12(th) and 13 (th) ribs and also over the biceps femoris muscle (FTP8) by ultrasound explained 95% of the variation in the hot carcass weight when measure immediately before slaughter.

Desempenho e características da carcaça de tourinhos santa gertrudes confinados, recebendo dietas com alto concentrado e níveis crescentes de polpa cítrica peletizada

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Taxa de deposição de tecidos corporais de novilhas Nelore e suas cruzas com Angus e Simental

The objective of this work was to evaluate deposition pattems of body tissues of Nellore and crossbreed with Angus and Simmental heifers. Fifty seven heifers (19 Nellore, 19 Angus and 19 Simmental) were used, being 12 heifers (four in each genetic group) slaughtered before the beginning of the experiment as the baseline group. Thirty six (twelve in each genetic group) were ad libitun fed with 30 (six in each group) and 50% (six in each group) of dry matter diet in concentrate. The animals were in a completely randomized design, 3x2 factorial (tree genetic group and two diet), with six replicates per treatment. Nine remaining animals were used for a digestibility trial. At the end of the experiment all these animals were slaughtered and its corporal composition determined. The percentage of subcutaneous fat was greater for Angus heifers. Chemical constituents of empty body weight and empty body gain there did not suffer effects of genetic group. The crossing between Nellore and Angus, as well as the level of concentrate improve carcass characteristics and pattern of deposition of body tissues.

Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach

Background: Meat quality involves many traits, such as marbling, tenderness, juiciness, and backfat thickness, all of which require attention from livestock producers. Backfat thickness improvement by means of traditional selection techniques in Canchim beef cattle has been challenging due to its low heritability, and it is measured late in an animal's life. Therefore, the implementation of new methodologies for identification of single nucleotide polymorphisms (SNPs) linked to backfat thickness are an important strategy for genetic improvement of carcass and meat quality.Results: The set of SNPs identified by the random forest approach explained as much as 50% of the deregressed estimated breeding value (dEBV) variance associated with backfat thickness, and a small set of 5 SNPs were able to explain 34% of the dEBV for backfat thickness. Several quantitative trait loci (QTL) for fat-related traits were found in the surrounding areas of the SNPs, as well as many genes with roles in lipid metabolism.Conclusions: These results provided a better understanding of the backfat deposition and regulation pathways, and can be considered a starting point for future implementation of a genomic selection program for backfat thickness in Canchim beef cattle. © 2013 Mokry et al.; licensee BioMed Central Ltd.

Desequilíbrio de ligação e associação entre polimorfismos de base única com maciez da carne e espessura de gordura em bovinos Nelore utilizando painéis de alta densidade

Pós-graduação em Genética e Melhoramento Animal - FCAV

Expressão de genes relacionados à qualidade da carne do músculo longissimus dorsi em Nelore (Bos indicus) e canchim (5/8 Bos taurus x 3/8 Bos indicus)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise de genes associados à deposição de gordura em bovinos da raça Nelore

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fontes lipídicas associadas à glicerina bruta na dieta de tourinhos Nelore

Pós-graduação em Zootecnia - FCAV

Precocidade de cordeiros de diferentes grupos genéticos terminados em confinamento

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Suplementação mineral protéica com cromo orgânico sobre o desempenho produtivo e qualidade da carne de bovinos Nelore e F1 Brangus X Nelore terminados em pastagem no Centro-Oeste do Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Crescimento muscular e qualidade da carne de bovinos nelore, simental e seus mestiços no sistema de produção superprecoce

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Utilização da técnica de ultra-som em tempo real na avaliação in vivo de cordeiros

Pós-graduação em Zootecnia - FMVZ

Métodos de castração de machos Aberdeen Angus x Nelore terminados em pastagem

Pós-graduação em Zootecnia - FCAV

Eficiência alimentar e desempenho de bovinos nelore selecionados para peso pós-desmame

Pós-graduação em Zootecnia - FMVZ

Componentes principais na elaboração de índices de provas de desempenho em bovinos

The principal component analysis assists the producers in making decision of which evaluated features must be maintained in performance tests indexes, according to the variation present in these animals evaluated. The objective in this study was to evaluate a set of characteristics measured in a performance test in semifeedlot cattle of the Simmental and Angus breeds, by means principal component analysis (PC), aim to identify the features that represent most of the phenotypic variation for preparation of indexes. It was used data from 39 Angus and 38 Simmental bulls from the Santa Éster farm, located in Silvianópolis - MG. The performance test period was from october 2014 to february 2015. The features evaluated in the test were: final weight (FW), average daily gain weight (GW), respiratory rate (RR), haircoat temperature (HT) and rectal (RT), hair number (HN), hair length (HL), hair thickness (HT), muscularity (MUSC), racial characteristics, angulation, reproductive and balance (BAL), height of the front and back, width and length of croup, body length, depth and heart girth, subcutaneous fat thickness and rump (FTR), loin eye area and marbling (MAR). It was used PRINCOMP from SAS program for procedure the PC analysis. It was found that of the 27 features evaluated, the first four PC for Simmental breed explained 74% total variation data. The four PC selected with the corresponding weighting coefficients formed the following index: (0.27 * FW) + (0.47 * MUSC) + (0.50 * HL) + (0.39 * HT). Since the characteristics related to the adaptability of great importance for the studied breed, it was decided to keep the index of evidence for the Angus breed, the feature hair number, because there is a feature that presented a great variability and occupied one of the first principal component. Thus, the Angus index was composed by five features, with 79% total variation data, resulting in the following formula: (0.26 * FW) + (0.33 * BAL) + (0.58 * MAR) - (0.43 * FTR) – (0.38 * HN). By the principal component analysis it was possible to minimize the features number to be evaluated on performance tests from that farm, making the animal selection rapidly and accurate.