ABSTRACT
The purpose of this study was to estimate the phenotypic associations between residual food intake (RFI) and carcass traits, evaluated by ultrasonography, of young Nellore bulls. Information about 53 young Nelore bulls, pure origin (PO), participants in the Individual Performance Test of Nelore Bulls, carried out at the Capim Branco experimental farm of the Federal University of Uberlândia (UFU) were used for this purpose. It was evaluated the characteristics of residual feed intake (RFI), rib eye area (REA), marbling (MAR) and fat thickness (FT). In order to estimate the Spearman and Pearson correlation coefficients, the SAS program was used. Regarding the influence of the RFI classes (low RFI, medium RFI and high RFI) on carcass traits, an out analysis of variance was carried out using the least squares method. It was verified that there was no phenotypic association between RFI and the characteristics of REA and MAR, but the relation between FT and the phenotypic association revealed a medium magnitude. However, when evaluating the RFI classes, it was observed that there were no significant differences of the RFI classes with the carcass traits (REA, FT and MAR). It is recommended that new studies are carried out to verify if the selection for RFI does not result in damages to the finishing of carcass in Nelore cattle.
Subject(s)
Phenotype , Skeleton/diagnostic imaging , Cattle , EatingABSTRACT
This study compared the dry matter intake (DMI) of Nellore heifers and bulls in the feedlot, predicted by the BR-Corte (2010 and 2016) and NRC (2000) nutritional systems. Hence, two experiments were conducted in a completely randomized design. The first one used 47 Nellore bulls, not castrated, with an average initial weight of 413 kg, and 19 months of age. The second experiment used 24 Nellore heifers with an average initial weight of 300 kg and 23 months of age. The accuracy and approximation of the DMI estimates by the nutritional systems were adjusted with the simple linear regression model and the root mean square error of prediction (RMSEP). The DMI was 8.06 kg day-1 for Nellore heifers and 11.54 kg day-1 for bulls, which are higher than the values ââ predicted by the nutritional systems. The NRC (2000) and BR-Corte (2010 and 2016) underestimated DMI in 20.84, 20.09, and 19.35% for heifers and 28.07, 16.20, and 11.78% for bulls, respectively. It was concluded that the BR-Corte 2010 and 2016 were the most suitable models to estimate the DMI of Nellore heifers and bulls for higher precision and accuracy.
Subject(s)
Cattle , EatingABSTRACT
The objective was to compare the dry matter consumption (CMS) observed, through the use of the GrowSafe® electronic system, with that predicted by the BR-Corte (2010 and 2016) and NRC (2000) nutritional systems in confined Senepol bulls. To this end, 24 Senepol Bulls were used in a completely randomized design, uncastrated with an average initial weight of 368 kg and 16 months of age. The evaluation of the accuracy and approximation of the CMS estimates by the nutritional systems was adjusted by the simple linear regression model and the decomposition of the mean square of the prediction error (QMEP). The mean CMS observed was 10.33 kg.day-1, higher than the values predicted by the nutritional systems, in which the values predicted by the NRC (2000) and BR-Corte 2010 and 2016 underestimated the CMS by 29.62, 6.19 and 2.03%, respectively. The verification of QMEP and its decomposition made it possible to infer the proximity of the values predicted by the BR-Corte 2010 and 2016 models and the values observed, which presented a better adjustment in relation to the NRC. Surprisingly the values predicted by the NRC, created from a database with Bos taurus animals, showed greater distance from the values predicted and observed, and it was expected greater accuracy of the NRC models for this category and animal breed. It is concluded that the BR-Corte 2016 was the most appropriate model to estimate the CMS of confined Senepol bulls.
Objetivou-se comparar o consumo de matéria seca (CMS) observado, por meio do uso do sistema eletrônico GrowSafe®, com o predito pelos sistemas nutricionais BR-Corte (2010 e 2016) e NRC (2000) em touros da raça Senepol em confinamento. Para isso, foram utilizados 24 Touros da raça Senepol em delineamento inteiramente casualizado, não castrados com peso inicial médio 368 kg e 16 meses de idade. A avaliação da exatidão e aproximação das estimativas do CMS pelos sistemas nutricionais foi ajustada pelo modelo de regressão linear simples e decomposição do quadrado médio do erro de predição (QMEP). O CMS médio observado foi de 10,33 kg.dia-1, valor superior aos valores preditos pelos sistemas nutricionais, no qual os valores preditos pelo NRC (2000) e BR-Corte 2010 e 2016 subestimaram o CMS em 29,62, 6,19 e 2,03%, respectivamente. A verificação do QMEP e sua decomposição possibilitou inferir sobre a proximidade dos valores preditos pelos modelos BR-Corte 2010 e 2016 e os valores observados, os quais apresentaram melhor ajuste em relação ao NRC. Surpreendentemente os valores preditos pelo NRC, criado a partir de banco de dados com animais Bos taurus, apresentou maior distanciamento dos valores preditos e observados, sendo que era esperada maior precisão dos modelos NRC para esta categoria e raça animal. Conclui-se que o BR-Corte 2016 foi o modelo mais adequado para estimar o CMS de touros da raça Senepol em confinamento.
Subject(s)
Cattle , Animal Nutrition SciencesABSTRACT
A indústria leiteira, visando a aumentar o rendimento industrial de seus produtos e melhorar a qualidade desses para atender à demanda do mercado consumidor, tem sido cada vez mais exigente com seus fornecedores de matéria-prima. Supõe-se que o tipo de ordenha e metodologias de coleta influenciam a composição físico-química e a contagem de células somáticas de leite cru, tornando-se necessário verificar tais efeitos. Com o objetivo de comprovar essa hipótese, foram analisadas 180 amostras de leite de 30 vacas. Utilizou-se o arranjo fatorial 2x3, sendo duas formas de coleta (manual - 100mL iniciais da ordenha, e mecânica - amostra da ordenha completa) e três tipos de amostras (manhã, tarde e "pool"). Os valores de gordura e extrato seco total (EST) foram os mais influenciados, tanto pela forma de coleta quanto pelo tipo de amostragem. Houve variação para os teores de proteína e lactose entre as amostras coletadas pela manhã e pela tarde. Diferença estatística (P<0,05) foi observada nos teores dessas variáveis e do extrato seco desengordurado (ESD) de acordo com o tipo de ordenha. Os resultados de CCS apresentaram correlações baixas com os teores de gordura, proteína e EST, e correlações negativas com os teores de lactose e ESD. Os resultados encontrados demonstram a importância da padronização da coleta do leite e a influência do tipo de ordenha sobre os constituintes físico-químicos e a CCS do leite.
To increase industrial production, improve quality and meet consumersÆ demand, dairy industry has become more demanding regarding raw material suppliers. It is assumed that both milking type and raw milk sampling influence the physico-chemical composition and somatic cell count (SCC). To confirm this hypothesis, 180 samples from 30 cows were analysed. A factorial arrangement 2x3 was used, being two sampling types (manual - collecting the first 100mL, and milking machine - samples from the complete milking) and three types of samples (morning, afternoon and pool). The fat and TS (Total Solids) contents were most influenced either by the type of collection or the the type of sampling. Variation between the protein and lactose contents was observed according to the types of sampling. Statistical differences (P<0.05) were verified for SNF (Solids Non Fat) values according to the milking type. The SCC values showed low correlations to the contents of fat, milk and TS and negative correlations to the lactose and SNF contents. The results showed the influence of the milking type on the physical chemical composition and milk SCC and the importance of standardizing the milk sampling technique.