Efeito de diferentes relações volumoso: concentrado no consumo, digestibilidade aparente e partição da digestão da dieta de bovinos

Three steers equipped with ruminal and duodenal cannulas were fed roughage:concentrate ratios 80:20, 60:40 and 40:60 in order to study intake and apparent, rumen and post-rumen digestibilities. The roughage was ''coast cross'' (Cynodon dactylon) hay (5.67% CP and 83.30% NDF). Undigestible neutral detergent fiber (NDF) was used as dry matter (DM) flow marker. DM intake means were 77.99, 91.03 and 91.81g DM/kg BW0.75, for the 20, 40 and 60% concentrate diets, respectively. DM intake for the 20% diet was statistically (P < 0.05) different from the other two diets. Apparent digestion coefficient (%) of DM (50.48, 57.32 and 61.33), organic matter (OM) (52.03, 58.91 and 62.76) and gross energy (GE) (48.95, 56.40 and 60.00) increased significantly with the increase in concentrate ratio of the diets. For the following components the apparent digestion coefficients were not statistically different: NDF (44.54, 45.28 and 42.53), ADF (40.69 44.39 and 43.60), cellulose (51.54, 54.34 and 52.03), hemicellulose (49.63, 46.78 and 39.18) and starch (86.59, 91.89 and 93.21). DM, OM, NDF, ATF, cellulose and starch ruminal and post-ruminal digestibilities were not statistically different. But the ruminal digestibilities of hemicellulose (94.81, 90.26 and 85.99) and EG (93.85, 83.30 and 78.77) decreased significantly as the concentrate ratio of the diets increased. The post-ruminal digestibility of hemicellulose (5.19, 9.74 and 14.03%) and GE (6.12, 16.20 and 21.23%) increased as the concentrate ratio of the diets increased.

Estudo de modelo alternativo para estimação de componentes de (co)variância e predição de valores genéticos de características de crescimento em bovinos da raça Nelore

The objectives of this study were to estimate genetic parameters for non-standardized weights at nursing (PR120), at weaning (PR240), at yearling (PR365) and at post yearling (PR550), and to predict EPD's (expected progeny differences) for these traits using records from 29,769 Nellores. Covariance components and genetic parameters were estimated by mixed-model methodology, REML, using an animal model. Models for PR120, PR240, PR365 and PR455 included the random direct and maternal animal effects, the dam permanent environmental effect and the error. Fixed effects were contemporary group (CG) and age of cow at parturition (CIVP) and the covariate age of the calf at measuring. Two additional models for PR365, PR455 and PR550 analyses were used: the first included CG and CIVP, animal and maternal direct effect, residual and age of the calf (as covariate), and the second included CG and CIVP (as fixed effects), animal direct effect, residual and age of calf at measuring. Observed means±standard deviations were: 127±25kg (PR120); 191±34kg (PR240); 225±42kg (PR365); 266±51kg (PR455) and 310±56kg (PR550). From single-trait analyses, direct and maternal heritabilities for PR120, PR240, PR365 and PR455 were, respectively, .23 and .08; .19 and .10; .24 and .04; .30 and .04. Direct heritabilities were .39; .44 and .43, respectively, for PR365, PR455 and PR550. In the model without permanent effect, direct and maternal heritabilities for PR365, PR455 and PR550 were .25 and .08; .32 and .07; .38 and .03, respectively. When the estimates for standardized traits at the same period were compared, no differences in magnitude were found. Rank correlation had important changes when standardized and non-standardized traits were compared.

Avaliação do uso da terra em micro̧bacia utilizando uma matriz de partição fuzzy

Informatics evolution presently offers the possibility of new technique and methodology development for studies in all human knowledge areas. In addition, the present personal computer capacity of handling a large volume of data makes the creation and application of new analysis tools easy. This paper aimed the application of a fuzzy partition matrix to analyze data obtained from the Landsat 5 TMN sensor, in order to elaborate the supervised classification of land use in Arroio das Pombas microbasin in Botucatu, SP, Brazil. It was possible that one single training area present input in more than one covering class due to weight attribution at the signature creation moment. A change in the classification result was also observed when compared to maximum likelihood classification, mainly when related to bigger uniformity and better class edges classification.

Construção de Códigos Espaço-temporais de Treliça via Partição de Reticulados

Pós-graduação em Engenharia Elétrica - FEIS

Estimativa de componentes de (co)variância de características de crescimento na raça Brahman utilizando inferência bayesiana

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimativas de componentes de (CO) variância de características de crescimentos na raça Nelore, utilizando inferência bayesiana

Pós-graduação em Genética e Melhoramento Animal - FCAV

Utilização do carbono-13 como marcador na partição de fotoassimilados em figueira

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Efeito da seleção massal na média e na variância genética da cultivar Al 25 de milho (Zea mays L.)

Pós-graduação em Agronomia (Agricultura) - FCA

Modelos para estimação de componentes de (co)variância para produção de leite no dia do controle de vacas da raça Holandesa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Uso do carbono-13 como marcador na partição de fotoassimilados em maracujazeiro doce (Passiflora alata Dryander)

Pós-graduação em Agronomia (Horticultura) - FCA

Modelos para estimação de componentes de (co)variância para pesos do nascimento à idade adulta de animais da raça Nelore

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Análise da heterogeneidade de variância em características de crescimeno de bovinos da raça nelore

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Componentes agronômicos e índices fisiológicos da mandioca correlacionados ao preparo do solo

Pós-graduação em Agronomia (Agricultura) - FCA

Análise bayesiana de dados espaciais explorando diferentes estruturas de variância

Pós-graduação em Matematica Aplicada e Computacional - FCT