Utilization periods of stockpiled forage grasses established under dwarf coconut shading
Autor: | MAGALHAES, J. A., SANTOS, F. J. de S., RODRIGUES, B. H. N., COSTA, N. de L., FOGACA, F. H. dos S. |
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Přispěvatelé: | JOAO AVELAR MAGALHAES, CPAMN, FRANCISCO JOSE DE SEIXAS SANTOS, CPAMN, BRAZ HENRIQUE NUNES RODRIGUES, CPAMN, NEWTON DE LUCENA COSTA, CPAF-RR, FABIOLA HELENA DOS SANTOS FOGACA, CTAA. |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
Popis: | The effects of utilization periods of stockpiled forage grasses established under shading of 25-year-old dwarf coconut (Cocos nucifera) in Parnaíba, Piauí, were evaluated. The experimental design was a randomized block design in split plots with three replications. The forage grasses: andropogon grass (Andropogon gayanus cv. Planaltina), digitaria grass (Digitaria sp.), marandu grass (Urochloa brizantha) and mombasa grass (Megathyrsus maximus) were allocated in the main plots, and the utilization periods (August, September, October and November), in the subplots. The stockpiled of forage grass pastures in integrated systems with dwarf coconut trees, in order to accumulate forage to feed the herds during the dry season, is a technically viable practice. Irrespective to the forage grasses evaluated, crude protein levels are insufficient to supply the minimum nutritional requirements of grazing beef or dairy cattle, so the animals must receive protein supplementation during the pasture utilization periods. The forage grasses most promising for stockpiled management were Marandu and Mombasa, allowing to reconcile high productivity with forage quality. Made available in DSpace on 2022-09-28T19:05:36Z (GMT). No. of bitstreams: 1 UtilizationPeriodsStockpiledForageGrassesEstablishedRSDv11n12a2022.pdf: 124600 bytes, checksum: 5ec41f5adb180f1ee5ac9fd6bdf9f06f (MD5) Previous issue date: 2022 |
Databáze: | OpenAIRE |
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