CO2 assimilation rate applied through irrigation water on melon crop in protection environmental conditions.

The trickle irrigation system was used

Efeito da bracatinga (Mimosa scabrella) na produção de matéria seca de pastagem sob sistema silvipastorial.

Edición de las Memorias de la 22a. Reunión ALPA, 2011, Montevideo. E68 Poster

Efeito de aditivos sobre o perfil de ácidos graxos de dieta contendo óleo de girassol.

Objetivou-se avaliar a influência da monensina e da levedura sobre o perfil de ácidos graxos do conteúdo duodenal de novilhos Nelore alimentados com dietas contendo óleo de girassol. Foram utilizados quatro novilhos em delineamento experimental Quadrado Latino 4x4, com fístulas ruminal e duodenal. Os tratamentos experimentais foram: Controle, Monensina, Levedura e Monensina+Levedura. Cada período experimental foi constituído por 10 dias de adaptação às dietas e mais quatro dias de colheita de material duodenal. A utilização de monensina reduziu as porcentagens dos ácidos C16:0 e C18:2 c9c12, mas não teve efeito na concentração de ácidos graxos insaturados. O uso de cultura de levedura favoreceu a concentração dos ácidos C17:1 e C18:1 c15 e reduziu a concentração dos ácidos C18:0, C18:1 t10-11 e C18:1 t12, assim como reduziu o total de ácidos graxos saturados e ácidos graxos trans. Os ácidos C11:0 e C13:0 Anteiso apresentaram interação entre os tratamentos, sendo que a cultura de levedura aumentou-os na presença de monensina, reduzindo-os na ausência desta. Portanto, o uso de monensina em dieta com óleo de girassol não afetou a concentração de ácidos graxos insaturados. O uso de levedura aumentou os ácidos graxos insaturados e reduziu os ácidos graxos saturados no conteúdo duodenal. Mais estudos devem ser conduzidos para elucidar o modo de ação das dessaturases, assim como o efeito dos aditivos sobre os microorganismos ruminai

A influência do ambiente físico e social no bem-estar de leitões desmamados.

bitstream/item/56411/1/publicacao-493.pdfProjeto/Plano de Ação: 01.06.06.001

The tree height estimated by non-power models on volumetric models provides reliable predictions of wood volume: The Amazon species height modelling issue.

Allometries that include height as independent variable usually provide greater accuracy on estimates of volume, biomass or individual carbon than other prediction strategies that rely only diameter at breast height as independent variable. However, when these models are applied in Amazon Forest Inventories, it is common to use estimated heights rather than measured heights to prepare volume, biomass or carbon estimates. This practice is common, but rarely discussed and the effect on predictions and precision is usually overlooked. The aim of this study was to examine hypsometric models and evaluate the effect of estimated height on merchantable volume prediction in Eastern Amazonian forests. The study area was a 3,786 ha Forest Management Unit owned by Jari Florestal S.A., in the Jari Valley Region of the State of Pará, Brazil. The data includes 16,099 trees of 25 species, measured and harvested in 2006. Ten percent of the data were reserved for validation of the hypsometric and volumetric estimates. Five hypsometric models and two modelling techniques (linear regression and mixed-effects model) were examined. The choice of best model was based on graphical analyses of residuals, distribution of residuals, heteroscedasticity of error and presence of outliers as assessed by h-values, DFFITS and Cook's distance. The hypsometric relationship and volumetric estimates using DBH and DBH with estimated height were validated with Graybill's test, Theil's error decomposition, Efficiency, Equivalence test and Tukey's test for species estimates level. Heights estimated using a semi-logarithmic mixed-effects model can improve predictions from volume equations. The results show that exploratory data analysis and validation process helped to provide estimates with greater efficiency and should be adopted in related studies. The prediction of height associated with volumetric models for six different species provided volumetric estimates with an error below 5% for the global average volume. The estimated height by the mixed-effect non-power law model should be included in double input models previously developed for volume prediction