Premium
Multivariate analysis in weed science
Author(s) -
POST B. J.
Publication year - 1988
Publication title -
weed research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 74
eISSN - 1365-3180
pISSN - 0043-1737
DOI - 10.1111/j.1365-3180.1988.tb00823.x
Subject(s) - weed , arable land , vegetation (pathology) , weed control , multivariate statistics , agriculture , agroforestry , environmental science , weed science , agronomy , ecosystem , geography , ecology , biology , mathematics , medicine , statistics , pathology
Summary Weed species in arable ecosystems are adapted to the conditions produced by agricultural management. In order to give preventive and curative guidelines to weed management one needs to predict the composition of the weed vegetation after certain (soil) cultivation measures. Dormancy mechanisms of seeds in the seedbank and the environmental conditions in the furrow before and after cultivation are usually such that the vegetation composition is heterogeneous. Multivariate analyses enable us to describe and classify weed vegetation and to analyse its relationship to environmental factors.