Autor(es): Farias, P. R.S. ; Sánchez-Vila, X. ; Barbosa, J. C. [UNESP] ; Vieira, S. R. ; Ferraz, L. C.C.B. ; Solís-Delfin, J.
Data: 2022
Identificador Persistente: http://hdl.handle.net/11449/224280
Origem: Oasisbr
Assunto(s): Conditional simulations; Cotton; Geostatistics; Kriging; Precision Farming; Rotylenchulus reniformis; Semivariogram
Made available in DSpace on 2022-04-28T19:55:36Z (GMT). No. of bitstreams: 0 Previous issue date: 2002-09-01
In recent years, the productivity of cotton in Brazil has been progressively decreasing, often the result of the reniform nematode Rotylenchulus reniformis. This species can reduce crop productivity by up to 40%. Nematodes can be controlled by nematicides but, because of expense and toxicity, application of nematicides to large crop areas may be undesirable. In this work, a methodology using geostatistics for quantifying the risk of nematicide application to small crop areas is proposed. This risk, in economic terms, can be compared to nematicide cost to develop an optimal strategy for Precision Farming. Soil (300 cm3) was sampled in a regular network from a R. reniformis-infested area that was a cotton monoculture for 20 years. The number of nematodes in each sample was counted. The nematode number per volume of soil was characterized using geostatistics, and 100 conditional simulations were conducted. Based on the simulations, risk maps were plotted showing the areas where nematicide should be applied in a Precision Farming context. The methodology developed can be applied to farming in countries that are highly dependent on agriculture, with useful economic implications.
Fundecitrus Scientific Department, P.O. Box 391, 14801-970, Araraquara
Department of Terrain Engineering University Polytechnic of Catalunya, 08034, Barcelona
Department of Exact Sciences UNESP/FCAV, 14870-000, Jaboticabal-SP
Ctr. Soils/Agroenvironmental Res., P.O. Box 28, 13001-970, Campinas
Department of Zoology ESALQ University of São Paulo, P.O. Box 9, 13418-900, Piracicaba
Department of Exact Sciences UNESP/FCAV, 14870-000, Jaboticabal-SP
