SciELO - Scientific Electronic Library Online

 
vol.20 número12Crescimento e nutrição mineral do baru (Dipteryx alata Vogel) em solução nutritivaAspectos fisiológicos do pinhão-manso sob diferentes densidades de plantio e doses de nitrogênio índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

Compartilhar


Revista Brasileira de Engenharia Agrícola e Ambiental

versão impressa ISSN 1415-4366versão On-line ISSN 1807-1929

Resumo

BOTTEGA, Eduardo L. et al. Spatial and temporal distribution of weeds in no-tillage system. Rev. bras. eng. agríc. ambient. [online]. 2016, vol.20, n.12, pp.1107-1111. ISSN 1807-1929.  https://doi.org/10.1590/1807-1929/agriambi.v20n12p1107-1111.

Brazil is one of the largest grain producers in the world, due to its extensive arable land and favorable climate for the cultivation of any species. The production could be higher, but problems such as competition between crops and weeds reduces crop yields. This study aimed to analyze the spatial distribution of weeds, especially milkweed (Sonchus oleraceus), horse weed (Conyza spp.) and ‘maria-mole’ (Senecio brasiliensis) in an area under no-tillage system for two harvests. The work was carried out during the 2013/14 and 2014/15 crop years in an area of 22.5 ha, where soybean is grown in the summer and oat in the winter. The weeds were mapped using a sampling grid of 85 points. The number of plants present in 0.25 m2 was recorded at each sampling point. The data collected in the field composed the information bank and were used for geostatistical analysis and production of maps. Using geostatistical analysis, it was possible to map the horseweed infestation in the studied area for the 2013/14 season. The species ‘maria-mole’ and milkweed did not show spatial dependence. During the 2014/2015 season, because of the management carried out in the off season, none of the studied species showed spatial dependence.

Palavras-chave : precision agriculture; spatial variability; Sonchus oleraceus; Conyza spp.; Senecio brasiliensis.

        · resumo em Português     · texto em Inglês     · Inglês ( pdf )