Mirton José Frota Morenz
Universidade Federal Rural do Rio de Janeiro
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Mirton José Frota Morenz.
Revista Brasileira De Zootecnia | 2010
Veridiana Basoni Silva; Carlos Elysio Moreira da Fonseca; Mirton José Frota Morenz; Eduardo Lucas Terra Peixoto; Elisabeth dos Santos Moura; Isabel das Neves Oiticica de Carvalho
The aim of this work was to evaluate the effect of replacing concentrate by wet brewer grain on the intake and digestibility of nutrients in goats. It was used five Boer x Saanen crossbreed goats and five Saanen goats randomly distributed in two 5 x 5 latin squares. The diets were composed of 40% of Tifton hay and the other 60% were composed of 0, 25, 50, 75 or 100% of wet brewer grain replacing the concentrate. The intake of dry matter (DM), organic matter (OM), crude protein (CP), ether extract (EE), total carbohydrates (TC), total digestible nutrients (TDN) and neutral detergent fiber (NDF) were fitted to the quadratic model so the highest values were observed for diets without wet brewer grain and with 25% of this residue. The levels of wet brewer grain had a decreasing linear effect on apparent digestibility of dry matter, organic matter, and total carbohydrates and a quadratic effect on crude protein digestibility. Wet brewer grain can be used in levels up to 25% as a substitute to concentrate in diets for goats at the end of lactation.
Revista Brasileira de Saúde e Produção Animal | 2012
Lisiane Pereira de Jesus; Luciano da Silva Cabral; Mariano Martinez Espinosa; Joadil Gonçalves de Abreu; Joanis Tilemahos Zervoudakis; Mirton José Frota Morenz
The objective was to develop statistical models to estimate variations in the population of Protozoa in the light of forage: concentrate ratio and the presence or absence of additives in the diet. Excel spreadsheets with data on diet composition, presence and absence of additives and the number of protozoa in the rumen of cattle for work done in Brazil were using. These variables were used and tested to obtain the equation for predicting the profile of the population of protozoa. The models obtained were checked by residual analysis and selection of variables was performed considering the significance level of 5%. It was found for the total count of protozoa and Entodinium that the increased proportion of large positive effect and additive ionophores had a negative effect. The use of statistical models can provide a better understanding of dietary factors on the microbiota of the rumen and on the animal.
Revista Brasileira de Saúde e Produção Animal | 2012
Lisiane Pereira de Jesus; Luciano da Silva Cabral; Mariano Martinez Espinosa; Joadil Gonçalves de Abreu; Joanis Tilemahos Zervoudakis; Mirton José Frota Morenz
The objective was to develop statistical models that can estimate the variations of the rumen protozoa population through changes in diet, using as parameters: neutral detergent fiber and crude protein, dry matter intake and pH, and to verify whether the variables weight and race influence on the population of protozoa in the rumen. Were built using Excel spreadsheets and recorded data on the aforementioned parameters and the profile of the rumen microbiota. These variables were used and tested to obtain the equations for predicting the profile of the microbiota. The models obtained were checked by residual analysis and selection of variables was performed considering the significance level of 5%, using the software MINITAB Release 15 (2010). The regression equations obtained from the analyzed data may imply that: there was an increase in the number of total protozoa proportional to the elevation of pH, the variables race, weight and additives exerted a significant effect on the protozoa population totals, as increased if dry matter intake decreased the number Protozoa; increasing the neutral detergent fiber content in the diet promoted an increase in the number of protozoa, the higher the crude protein, the lower the total number of protozoa. The models allow to estimate the number of parasites in the light of these variables: pH, dry matter intake, neutral detergent fiber and crude protein contents of diet and the presence or absence of additives.
Pesquisa Agropecuaria Brasileira | 2007
Domingos Sávio Campos Paciullo; Carlos Augusto Brandão de Carvalho; Luiz Januário Magalhães Aroeira; Mirton José Frota Morenz; Fernando César Ferraz Lopes; Roberto Oscar Pereyra Rossiello
Parasitology Research | 2007
Júlio César Rocha Costa; Roberto Júnio Pedroso Dias; Mirton José Frota Morenz
Pesquisa Agropecuaria Brasileira | 2009
Domingos Sávio Campos Paciullo; Fernando César Ferraz Lopes; João Darós Malaquias Junior; Antônio Viana Filho; N.M. Rodriguez; Mirton José Frota Morenz; Luiz Januário Magalhães Aroeira
Revista Brasileira de Saúde e Produção Animal | 2011
Rosani Valéria Marcelina Matoso Silva; Roberto Oscar Pereyra Rossiello; Mirton José Frota Morenz; Élio Barbieri Junior; Rosana Lorena Teixeira Gomes; Sergio Trabali Camargo Filho
Boletim de Indústria Animal | 2008
Afonso Aurélio de Carvalho Peres; Paulo Marcelo de Souza; Hernan Maldonado Vasquez; José Fernando Coelho da Silva; Carlos Augusto Brandão de Carvalho; João Batista Pereira de Carvalho; Mirton José Frota Morenz
Boletim de Indústria Animal | 2008
Leandro Galzerano; Roberto Oscar Pereyra Rossiello; Ana Paula Pessim de Oliveira; Domingos Sávio Campos Paciullo; Mirton José Frota Morenz; Ronan de Pádua Silva
Boletim de Indústria Animal | 2008
André Mantegazza Camargo; Victor Cruz Rodrigues; Jorge Carlos Dias de Sousa; Mirton José Frota Morenz; Otávio Cabral Neto; Renata de Oliveira Santos Ramalho; Kely Cristina Bastos Teixeira Ramos
Collaboration
Dive into the Mirton José Frota Morenz's collaboration.
Domingos Sávio Campos Paciullo
Empresa Brasileira de Pesquisa Agropecuária
View shared research outputsRoberto Oscar Pereyra Rossiello
Universidade Federal Rural do Rio de Janeiro
View shared research outputsKely Cristina Bastos Teixeira Ramos
Universidade Federal Rural do Rio de Janeiro
View shared research outputs