Infections of Hypostomus spp. by Trypanosoma spp. and leeches: a study of hematology and record of these hirudineans as potential vectors of these hemoflagellates.

Dentre os Kinetoplastida, Trypanosoma é o gênero com maior ocorrência, infectando populações de peixes marinhos e de água doce em todo o mundo. Apresenta elevados níveis de prevalência, ocasiona impactos na saúde dos peixes e consequente perdas econômicas, principalmente para populações de peixes em situação de estresse. Este estudo investigou a infecção por Trypanosoma spp. e sanguessugas em Hypostomus spp. e parâmetros sanguíneos desse hospedeiro do sistema de tributários do Rio Tapajós, no Estado do Pará, Amazônia Oriental, Brasil. De 47 hospedeiros examinados, 89,4% estavam parasitados por Trypanosoma spp., e 55,4% tinham também sanguessugas na região da boca. A intensidade de Trypanosoma spp. aumentou com o tamanho dos hospedeiros, mas as condições corporais não foram influenciadas pelo parasitismo. O número de eritrócitos, hematócrito, hemoglobina, VCM, HCM, CHCM, número de leucócitos e trombócitos totais apresentaram variações e correlação negativa com a intensidade de Trypanosoma spp. no sangue dos hospedeiros. Os resultados sugerem que sanguessugas foram os vetores de Trypanosoma spp. in Hypostomus spp.

Genetic parameters for carcass traits and body weight using a Bayesian approach in the Canchim cattle.

Correlation between genetic parameters and factors such as backfat thickness (BFT), rib eye area (REA), and body weight (BW) were estimated for Canchim beef cattle raised in natural pastures of Brazil. Data from 1648 animals were analyzed using multi-trait (BFT, REA, and BW) animal models by the Bayesian approach. This model included the effects of contemporary group, age, and individual heterozygosity as covariates. In addition, direct additive genetic and random residual effects were also analyzed. Heritability estimated for BFT (0.16), REA (0.50), and BW (0.44) indicated their potential for genetic improvements and response to selection processes. Furthermore, genetic correlations between BW and the remaining traits were high (P > 0.50), suggesting that selection for BW could improve REA and BFT. On the other hand, genetic correlation between BFT and REA was low (P = 0.39 ± 0.17), and included considerable variations, suggesting that these traits can be jointly included as selection criteria without influencing each other. We found that REA and BFT responded to the selection processes, as measured by ultrasound. Therefore, selection for yearling weight results in changes in REA and BFT.