Effects of probiotic doses on the survival and growth of hatchlings,fry, and advanced fry of Rohu (Labeo rohita Hamilton)

ABSTRACT

Rohu (Labeo rohita) is the most popular fish in South Asia. Its farming is often constrained by shortages of seed due to low survival (20%–30%) during nursing. Hypothesizing that probiotics might help, varying doses of two multistrain commercial probiotics were tested at hatchling (days 8–38), fry (days 38–68), and advanced fry (days 68–98) stages. The first probiotics (P1) consisted of Bacillus subtilis, Pediococcus acidilactici, and yeast (Saccharomyces cerevisiae) and the second probiotics (P2) of Bifidobacterium and Lactobacilli plus yeast (Saccharomyces cerevisiae), microalgae (Spirulina sp.), and phytase. Low, medium, and high doses of P1 (1.0, 2.0, and 3.0 g/kg) and P2 (0.5, 1.0, and 2.0 g/kg) were tested, supplementing the control diet, which consisted of mustard oil cake (40%), rice bran (30%), wheat flour (20%), and fish powder (10%). At the hatchling stage results showed that medium and high doses of P1 increased survival by 14.4% and 16.2% respectively over the control. Similarly, medium and high doses of P2 increased survival by 22.1% and 22.3% respectively compared to the control. Survival of hatchlings and fry increased linearly (P < 0.01) with the increase in the doses of P1. The dose of P2 had a quadratic relationship with the survival based on which dose of 1.5 g and 1.7 g/kg feed was found to maximize the survival of hatchlings (72%) and fry (99%) respectively. Regression analysis also showed that maximum specific growth rate (SGR%/day) of fry could be obtained with the estimated dose of 3.3 g/kg diet for P1 and for 1.5 g/kg diet for P2. Therefore, tested probiotics are beneficial during the nursing of Rohu hatchlings and fry or before the age of 68 days but not for nursing afterwards.     

Impacts of coffee agroforestry management on tropical bee communities

Though it is undoubted that tropical bees are influenced by habitat composition, few studies have investigated the relative importance of both local and landscape-level habitat parameters in supporting large and diverse bee communities. The conservation of native bee communities within agroforestry landscapes is particularly urgent given the importance of pollination services within these systems. In this study, we examined tropical bee communities within a largely deforested shade coffee-growing region in Chiapas, Mexico. We used regression tree modeling to examine the response of bee functional groups to local and landscape-level habitat management. Our models revealed that the most predictive factors for bee abundance and species richness were the number of tree species, the number of tree species in flower, and the canopy cover of the local agroforestry landscape. Solitary bees were most abundant in habitats with high canopy cover, while social bees were most abundant in habitats with greater tree species richness. Cavity-nesting and wood-nesting bee abundance was positively affected by the amount of canopy cover in the farm, while ground-nesting bees were most abundant in habitats with a large number of tree species in flower. Our results demonstrate that across bee sociality groups, nesting guilds, and tribes, the most critical factor impacting native bee communities was within-farm local vegetation management. These results reveal the important role that agroforestry managers can have on biodiversity conservation, and the potential contribution they can make by creating resource-rich agricultural matrices. Specifically, our findings highlight the importance of diverse overstory tree management in supporting native bee communities within tropical agroforestry systems.