Agricultural productivity of cassava under the rainfall of Pajeú river basin

Caio Cesar Diaz, Rodrigo de Q. Miranda, Ranyére S. Nóbrega

Abstract


The crop, joined with livestock, are the most important activities in semiarid of Pernambuco and the rural activities developed in semiarid, in majority, are made by dry crops, so this kind of activity is highly dependent of rainfall that occur in the region. The main aim of this research was assess cassava productivity in function of rainfall in Pajeu river basin. Were used to this research, statistical methods applied to fill gaps of rainfall data and to model yearly cassava agricultural productivity. In general, at least 4 of 7 stations obtained good statistical relationship between the variables recording r between 0.505 and 0.723. Cassava productivity has better relationship with rainfall in center of basin between january and march and north center of basin between april and june. Figured out spatial variabilities in the rainfall influence over cassava productivity. The rainfall and productivity presented patterns with different levels of definitions over time and figured out that the potential of predictability of the agricultural productivity using rainfall to the adopted standards in the researches was satisfied, however, with some errors that can be relevant to the quality of the forecasting until 13 years.

Keywords


Agroclimatology; Statistic; forecast

References


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DOI: https://doi.org/10.29150/jhrs.v9.5.p269-282

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Journal of Hyperspectral Remote Sensing - eISSN: 2237-2202