期刊论文详细信息
Revista Ciência Agronômica
Sample size for estimating the population of stink bugs in soybean crops
Alberto Cargnelutti Filho1  Glauber Renato Stürmer1  Regis Felipe Stacke1  Jerson Vanderlei Carús Guedes1 
[1] Universidade Federal de Santa Maria;
关键词: Sample sizing;    Experimental error;    Pentatomidae;   
DOI  :  10.1590/S1806-66902014000100019
来源: DOAJ
【 摘 要 】

It is important to quantify the population of stink bugs in the soybean, in order to determine the actions which are necessary for their control to protect the crop from losses in production, together with a reduction in cost and less environmental impact. The objectives of this study were to determine the sample size (the number of sampling points) needed to estimate the average population density of the bugs, and to verify the variability in sample size for the phases and species of the bugs and the phenological stages of the plants. In an area of 6.16 ha of soybeans, a grid of 154 sampling points, spaced 20 × 20 m apart, was laid out. Population-density data were collected for nymphs and adults of the species Dichelops furcatus (Fabricius, 1775), Piezodorus guildinii (Westwood, 1873), Edessa meditabunda (Fabricius, 1794), Nezara viridula (Linnaeus, 1758), Euschistus heros (Fabricius, 1794) and Chinavia sp. (Say, 1832) employing a vertical beat sheet at 14 different phenological stages. Measurements of central tendency and variability, the Morisita index and the k parameter of negative binomial distribution were all calculated. Homogeneity of variances was verified and the sample size calculated. There is variability in the sample size when estimating the average population density of bugs across the phases and species of bug and the phenological stages of the soybean. Smaller sample sizes are necessary for the nymphs of P. guildinii and the final phenological stages (R6, R7.1, R7.3 and R8.2). Thirty-six sampling sites are enough to estimate the average population density of bugs in the final phenological stages (R6, R7.1, R7 .3 and R8.2) at an error of estimation equal to 30% of the estimated mean and at a level of confidence of 95%.

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