Full text
| |
| Author(s): |
Felipe Tonato
Total Authors: 1
|
| Document type: | Master's Dissertation |
| Press: | Piracicaba. |
| Institution: | Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALA/BC) |
| Defense date: | 2003-09-12 |
| Examining board members: |
Carlos Guilherme Silveira Pedreira;
Carlos Nabinger;
Sila Carneiro da Silva
|
| Advisor: | Carlos Guilherme Silveira Pedreira |
| Field of knowledge: | Agronomical Sciences - Animal Husbandry |
| Indexed in: | Banco de Dados Bibliográficos da USP-DEDALUS; Biblioteca Digital de Teses e Dissertações - USP |
| Location: | Universidade de São Paulo. Biblioteca Central da Escola Superior de Agricultura Luiz de Queiroz; ESALQ-BC/t633.2; T663d |
| Abstract | |
Pastures are the main feed resource in the Brazilian livestock industry and they are key in making forage-livestock systems feasible. Climatic variables such as temperature and daylength are important to forage growth as they affect herbage accumulation as well as the seasonal distribution of both yield and nutritive value, two major characteristics that impact the systems as a whole. Thus, the development of manegerial tools that allow for the rationalization of the production process and for the prediction of forage responses to environmental variables may be valuable for planning and managing whole systems. The present study was carried out at the Departamento de Zootecnia of ESALQ-USP in Piracicaba, SP, from December 2000 through March 2002. The objective was to generate a comprehensive dataset on the productive and qualitative characteristics of Cynodon grasses and to use this dataset to evaluate prediction models reported in the literature, using them to estimate forage accumulation and changes in forage nutritive value [measured as concentrations of crude protein (CP) and neutral detergent fiber (NDF), as well as the in vitro organic matter digestibility (IVOMD)]. Two climatic variables were studied, one generated as a function of daily caloric sum (degree-days, DD) and the other combining the effect of daylength with DD and known as the photothermal unit (PU). Treatments included all possible combinations between two intervals between clippings (every four or six weeks) and five Cynodon spp. cultivars (Tifton 85, Coastcross, Florico, Florona e Stargrass) harvested mechanically at a 7-cm height. Plots were irrigated to ensure that soil moisture was not limiting at any point during the experiment and fertilized at the rate of 400 kg N ha-1 yr-1. The experimental design was a randomized complete block with four replications. For the three "seasons" established ("whole season", "summer", and "winter"), total herbage accumulation (HA), the mean daily HA rate (MDHAR), the seasonal yield distribution and the concentrations of CP and NDF plus the IVOMD of the forage produced were characterized. The 6-wk harvest interval resulted in higher HA and MDHAR, lower CP and IVOMD, and higher NDF than the 4-wk interval, for all three "seasons". Seasonal yield distribution was similar between intervals, with 73% of the total forage accumulating during the "summer" and 27% in the "winter". HA and MDHAR for the "whole season" was the same across cultivars but during the "summer", these responses were higher in Tifton 85 than on Coastcross and Stargrass. In the "winter", no differences were found across cultivars for these quantitative responses and this resulted in more pronounced seasonality for Tifton 85 than for Coastcross, Florico and Florona. Coastcross forage had the lowest CP concentration and, together with Tifton 85 forage, the highest NDF concentrations in all three "seasons". Forage IVOMD was the same across treatments except among cultivars in the "whole season", where Florona showed higher IVOMD than Coastcross. The prediction models generated for the quantitative response HA were highly significant and seem to be better predictors at lower aggregation levels. Both climatic variables were efficient, although the PU models had a better prediction ability than the DD models. For the qualitative characteristics were also significant, but with better results for the higher aggregation levels. Because of the high variability involved, however, their predictive ability may have been somewhat compromised. The grass cultivars used in this study have contrasting productive and qualitative characteristics, which must be taken into account when one considers their inclusion into the system. Within harvest intervals yield and nutritive value were inversely related. The use of climatic variables to predict forage quantitative responses appears to be promising in the absence of water deficit. For qualitative characteristics, the concept seems to hold although more modeling is needed using a wider range of forage maturities. (AU) | |