Inferences on the Dispersion of Cotton Arthropods in Texas
1

Pieters, Edward P.; Sterling, W. L.

doi:10.1093/ee/2.5.863

Cited by 12 publications

(8 citation statements)

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“…Comparisons of the efficiency of various sampling methods in cotton have been attempted (Davis et al, 1966;Race, 1960;Sheppard and Sterling, 1972;Pieters and Sterling, 1973), but these comparisons were only partially BYC1°ly et al: Sam.pliiu; Arthropods in Cotton successful because they lacked a suitable approximation of an absolute sample to use as a standard, Leigh, Gonzalez, and van den Bosch (1971) suggested an absolute sampling method for cotton which was used by Gonzalez et ale 1977, but proved too cumbersome for practical field use. Smith, Stadelbacher, and Gautt (1976) compared four sampling methods to detect population trends of beneficial arthropods in Mississippi cotton.…”

Section: Review Of the Literaturementioning

confidence: 99%

A comparison of sampling methods for some arthropod populations in cotton

Byerly¹,

Gutiérrez²,

Jones³

et al. 1978

Hilg

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Section: Review Of the Literaturementioning

confidence: 99%

A comparison of sampling methods for some arthropod populations in cotton

Byerly¹,

Gutiérrez²,

Jones³

et al. 1978

Hilg

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“…Taylor (1984) cita que a distribuição binomial negativa caracteriza-se por apresentar a variância maior que a média ( µ σ > 2 ), sendo portanto, uma contraparte da binomial positiva. Este modelo de distribuição indica agregação ou contágio (Pieters & Sterling 1973, Southwood 1978.…”

Section: Palavras-chave: Insecta Mosca-branca Distribuição Binomialunclassified

Distribuição espacial de Bemisia tabaci (Genn.) biótipo B (Hemiptera: Aleyrodidae) em feijoeiro (Phaseolus vulgaris L.)

Pereira¹,

Boiça²,

Barbosa³

2004

Neotrop. Entomol.

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-The study of spatial distribution of the insects is fundamental to elaborate sampling plans with potential for use in integrated pest management. Field experiments were carried out for Bemisa tabaci B biotype in common bean Phaseolus vulagaris L. in a 10,000 m 2 area, divided in 100 equal 10 x 10 m plots, at the November and February plantings. Ten plants per plot were sampled weekly. One foliole per plant was collected and the presence-absence of whitefly nymphs was assessed on the abaxial surface. For adults, the presence-absence of the pest was observed visually on the plants. In all the samplings lower values were obtained than the unit for the variance/mean relationship, indicating a regular placing of the whitefly in the field, which was confirmed by the significant values detected for the ⏐d⏐statistic and by the values lower than the unit presented by the Morisita index. The positive binomial distribution was the most suitable to represent the spatial distribution of B. tabaci biotype B in the bean crop.KEY WORDS: Insecta, whitefly, binomial distribution, sampling RESUMO -O estudo da distribuição espacial de pragas é fundamental para elaboração de planos de amostragem que possam propiciar maior adoção do manejo integrado de pragas. Para Bemisia tabaci (Genn.) biótipo B em feijoeiro Phaseolus vulgaris L., foram conduzidos ensaios de campo em uma área de 10.000 m 2 , dividida em 100 parcelas iguais de 10 x 10 m, nas épocas de semeadura "das águas" e "da seca". As amostragens foram realizadas semanalmente, em 10 plantas por parcela. Coletou-se um folíolo por planta e avaliou-se a presença-ausência de ninfas da mosca-branca na página abaxial. Para adultos, observou-se visualmente a presença-ausência da praga nas plantas. Em todas as amostragens obtiveram-se valores menores que a unidade para a relação variância/média, indicando disposição regular da mosca-branca no campo, confirmada pelos valores significativos da estatística ⏐d⏐, do teste de afastamento da aleatoriedade, assim como pelos valores inferiores à unidade do índice de Morisita. A distribuição binomial positiva foi o modelo mais adequado para representar a distribuição espacial da B. tabaci biótipo B na cultura do feijão.

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“…The negative binomial distribution characterizes the spatial pattern of more insect species, which exhibit clumping, than any other models studied (Waters and Henson 1959;Sevacherian and Stern 1972;Pieters and Sterling 1973;Kuehl and Fye 1972;Shepard 1972; and others). The versatility of this distribution arises from the fact that it may be derived from at least five different models (Waters and Henson 1959).…”

Section: Introductionmentioning

confidence: 94%

“…in soybeans, Waddill et al (1974) developed sequential sampling models based on distributions which were determined to fit the Poisson most often, although Geocoris spp. in cotton fields were reported to fit the negative binomial distribution significantly better than the Poisson (Pieters and Sterling 1973). Green cloverworms, Plathypena scabra (Fabricius), were found to be distributed randomly in soybean fields (Pedigo et al 1972).…”

Section: Introductionmentioning

confidence: 97%

Distribution of Insects in Soybean Fields

Shepard

Carner

1976

Can Entomol

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A 3-year study of spatial distribution patterns of insect pests in soybean fields revealed that the Poisson series described the distribution of most species. These species were: green cloverworms, Plathypena scabra (Fabricius); velvetbean caterpillars, Anticarsia gemmatalis Hübner; loopers Trichoplusia ni (Hübner), Pseudoplusia includens (Walker), and Heliothis spp. The Poisson with zeros distribution was second in characterizing the spatial patterns of many of the species. Field counts of Mexican bean beetles, Epilachna varivestis Mulsant, fitted the Neyman’s type A and negative binomial distributions most often.

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Inferences on the Dispersion of Cotton Arthropods in Texas 1

Cited by 12 publications

References 0 publications

A comparison of sampling methods for some arthropod populations in cotton

A comparison of sampling methods for some arthropod populations in cotton

Distribuição espacial de Bemisia tabaci (Genn.) biótipo B (Hemiptera: Aleyrodidae) em feijoeiro (Phaseolus vulgaris L.)

Distribution of Insects in Soybean Fields

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