1982
DOI: 10.1017/s0043174500026126
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Selection of Sampling Methods to Determine Weed Abundance in Apple (Malus domestica) Orchards

Abstract: A method is presented to determine which of a set of sampling techniques is most nearly optimum for sampling weed abundance. To employ the method, one needs first to develop a set of sampling alternatives. A pilot survey is then conducted to determine time costs and sampling and measurement error variances associated with each technique. We used this method to determine which of three plot sizes (0.6 by 0.6 m, 0.6 by 1.5 m, 1.2 by 2.1 m) and two types of orchard scans is most nearly optimum for estimating weed… Show more

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Cited by 7 publications
(5 citation statements)
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“…The search for optimal strategies that are cost effective in specific circumstances has been improved by the optimal use of prior information. This gave rise to devices like stratified, cluster, systematic and sequential sampling, which can be combined and specialized in many ways ( Conn et al ., 1982 ).…”
Section: Introductionmentioning
confidence: 99%
“…The search for optimal strategies that are cost effective in specific circumstances has been improved by the optimal use of prior information. This gave rise to devices like stratified, cluster, systematic and sequential sampling, which can be combined and specialized in many ways ( Conn et al ., 1982 ).…”
Section: Introductionmentioning
confidence: 99%
“…In July 1982, we counted the number of mullein plants > 30 cm high in a strip 10 m wide around the edges of the study sites and in one-third of the tree rows, and the number of C. verbasci on the plants. This method ignored plants > 10 m from the sites, so in July 1983 we counted all the mullein plants seen when walking for 10 min in each orchard (Conn et al 1982), including those up to ca. 100 m away.…”
Section: Methodsmentioning
confidence: 99%
“…North Carolina has led the way in monitoring weed populations in cover crops (Conn et al, 1982). Other states have initiated cover crop research projects and weed sampling programs (Whalon and Croft, 1984).…”
Section: Samplingmentioning
confidence: 99%