Length and Width to Estimate Dry Mass of \u3ci\u3ePanicum maximum\u3c/i\u3e cv. Tanzânia Leaves

An analysis of the relationship of leaf length (LL) and leaf width (LW) with leaf dry weight (LDW) in Panicum maximum was carried out with the objective of improving estimations of tissue flow in that plant. Data was collected in a mob grazing experiment with 28 days grazing interval sampled the day before grazing in 9 grazing cycles. Regression analysis revealed highly significant effect (P \u3c 0.001) of both LL and LW on LDW. A lack of fit test gave strong evidence of non-linear relationship of LDW with LL (p \u3c 0.05), fitting the model 1 0 LDW = β0LLβ1 , while LW presented a linear relation with LDW. LL was a better predictor of LDW than LW. LL solely or in combination with LW produced equations with high R2 (0.61 – 0.90 and 0.80 – 0.92, respectively). The power relationship between leaf length and leaf dry weight imply that longer leaves are heavier per unit of length and, therefore the use of a constant to describe dry weight may be misleading when treatments affect leaf size in Panicum maximum pastures

Monitoramento da qualidade da água da chuva em sistema de produção de suínos.

Projeto: 11.11.11.111

Análises do sêmen de suínos em centrais de inseminação artificial e detecção de circovírus suíno tipo 2 (PCV2).

bitstream/item/58128/1/CUsersPiazzonDocuments438.pd

Influence of the A286G polymorphism in the LEPR gene on carcass traits in a paternal broiler line.

Projeto/Plano de Ação: 01.06.01.006

Caracterização química dos estercos de suínos e de bovinos de leite.

Projeto: 11.11.11.111

Swine carcasses classified by degree of exudation and marbling content.

The objective of this work was to develop and evaluate prediction equations, based on measurements obtained on the slaughter line, for carcass classification according to the degree of exudation and the content of marbling. A total of 747 pig carcasses originated from 27 producers were randomly selected on the slaughter line at two slaughterhouses, constituting representative samples from each one. Hot carcass weight, loin depth, back fat thickness, and pH and temperature 45 min after slaughter were used to generate the equations. The carcasses were classified as normal or exudative for drip loss of loin and ham, and as acceptable or undesirable for marbling content. For drip loss of loin and ham, respectively, the overall correct classification of the carcasses was 87.3 and 76.8%, using the discriminant functions, for both categories. For marbling, the overall correct classification was 67.2%, and only 69% of the carcasses were correctly classified as acceptable (marbling >1). The equations developed based on the measurements obtained on the slaughter line allow classifying swine carcasses with high accuracy, according to the degree of exudation, but not with the content of marbling