FREQUENCY-DISTRIBUTION OF WEED COUNTS AND APPLICABILITY OF A SEQUENTIAL SAMPLING METHOD TO INTEGRATED WEED MANAGEMENT

被引:15
作者
BERTI, A
ZANIN, G
BALDONI, G
GRIGNANI, C
MAZZONCINI, M
MONTEMURRO, P
TEI, F
VAZZANA, C
VIGGIANI, P
机构
[1] UNIV PADUA,IST AGR GEN & COLTIVAZ ERBACEE,I-35131 PADUA,ITALY
[2] UNIV BOLOGNA,IST AGR GEN & COLTIVAZ ERBACEE,I-40126 BOLOGNA,ITALY
[3] UNIV TURIN,IST SCI COLTIVAZ,I-10125 TURIN,ITALY
[4] UNIV PISA,IST AGR GEN & COLTIVAZ ERBACEE,I-56100 PISA,ITALY
[5] UNIV BARI,IST AGR GEN & COLTIVAZ ERBACEE,I-70126 BARI,ITALY
[6] UNIV PERUGIA,IST AGR GEN & COLTIVAZ ERBACEE,I-06100 PERUGIA,ITALY
[7] UNIV FIRENZE,DIPARTIMENTO AGR & PROD ERBACEE,I-50144 FLORENCE,ITALY
关键词
D O I
10.1111/j.1365-3180.1992.tb01860.x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Weed density was sampled in a number of quadrats in five crops and at eight locations in Italy. For every location and species of crop and weed, a mean/variance pair was calculated. The relationship between these two parameters was significantly influenced by crop and, to a lesser extent, by site, but not by species of weed. The goodness of fit of the negative binomial distribution to the samples was assessed. Its k exponent was estimated on the basis of the observed variance/mean regression. A good fit was found for weed populations with fewer than 10 plants m-2. The applicability of a sequential sampling procedure based on the negative binomial distribution to a weed control strategy that uses a threshold density is discussed.
引用
收藏
页码:39 / 44
页数:6
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