Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean

Souza, Leandro Aparecido de; Barbosa, José Carlos; Grigolli, J. F. J.; Fraga, Diego Felisbino; Moraes, Lílian Cristina; Busoli, Antônio Carlos

doi:10.1590/0103-9016-2013-0314

Cited by 7 publications

(7 citation statements)

References 17 publications

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“…Nymphs of fourth and fifth instar of E. heros and P . guildinii showed distributions varying from moderately aggregate (Souza et al, ) to random and aggregate (Souza et al, ), results quite similar to those found in the current research.…”

Section: Resultssupporting

confidence: 90%

“…This type of distribution was expected, because females of pentatomid stink bugs lay their eggs grouped in clutches (Costa, Borges, & Vilela, 1998). Nymphs of fourth and fifth instar of E. heros and P. guildinii showed distributions varying from moderately aggregate (Souza et al, 2014) to random and aggregate (Souza et al, 2013), results quite similar to those found in the current research.…”

Section: Nymphssupporting

confidence: 90%

“…To have security in decision‐making regarding the control of a determined pest, it is important to know the economic damage levels specific to the target insect pest, following the principles of integrated pest management. There is a broad literature which describes different sequential sampling plans specific to every stink bug species found on soybean crops (Kono, ; Souza et al, ). However, it is necessary to develop a practical and usual sequential sampling plan for growers, aiming to assist them in decision‐making.…”

Section: Introductionmentioning

confidence: 99%

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Spatial distribution and sampling plan of the phytophagous stink bug complex in different soybean production systems

Fernandes

Costa

Cavada

et al. 2018

J Applied Entomology

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Phytophagous stink bugs are major soybean pests, and knowledge of spatial distribution models of the pest in the crop is fundamental to establishing an appropriate sequential sampling plan, and thus, allowing the correct utilization of control strategies. This work aimed to study the spatial distribution of phytophagous stink bugs in soybean grown in different cropping systems and determine a sequential sampling plan. The experiment was conducted in Maracaju, MS, Brazil, during the agricultural year of 2012/2013. Soybean cultivars BRS 284 and SYN 1163 RR were placed in an experimental area comprising six fields (two soybean cultivars × three cropping systems). Sampling was performed weekly, using a beat cloth per plot and counting the number of stink bugs found, virtually throughout the soybean reproductive period. Concerning the statistical analyses, we used the dispersion indexes (variance‐to‐mean ratio, Morisita's index, exponent k of the negative binomial and Green's coefficient) and probabilistic methods of frequency adjustment (negative binomial and Poisson). Adult and nymph phytophagous stink bugs showed aggregate disposition in the field regardless of the cropping system, and their numbers were adjusted to the negative binomial probability distribution. There was no difference in the behaviour of adult and nymphs considering the tested cultivars. We elaborated a practical sequential sampling plan for phytophagous stink bug complexes, considering crops intended for the production of grains and seeds.

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Section: Resultssupporting

confidence: 90%

Section: Nymphssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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Spatial distribution and sampling plan of the phytophagous stink bug complex in different soybean production systems

Fernandes

Costa

Cavada

et al. 2018

J Applied Entomology

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“…In this context, the development of a sequential sampling plan is fundamentally important within an Integrated Pest Management Program (IPM), because it is characterized by the use of samples of variable sizes, instead of using a fixed number of samples for a given area. This reduces the time and costs involved in the sampling (BARBOSA, 1992;SOUZA et al, 2014).…”

Section: Spatial Distribution Of E Heros Adultsmentioning

confidence: 99%

Spatial distribution of nymphs and adults of Euschistus heros (Fabricius, 1794) (Heteroptera: Pentatomidae) in transgenic soybean cultivars of different maturing cycles

Souza¹,

Barbosa

Aguirre-Gil

et al. 2018

SCA

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The neotropical stink bug Euschistus heros is the predominant and most important insect pest affecting soybean cultivation. Knowledge of the spatial pattern of the pest in an area is critical to understanding its behavior. The objective of this work was to study the spatial distribution of E. heros in transgenic soybean cultivars of different maturing cycles. The experiments were conducted in the seasons 2013/14 and 2014/15 in FCAV/UNESP, Jaboticabal, SP. Three fields were selected, and each was marked an area of 8.000 m 2 (0.8 ha), with each area divided into 80 portions of 100 m 2 (10 m x 10 m). The transgenic soybean cultivars of different maturing cycles were: SYN 1365 RR (early), M 7908 RR (average), and BRS Valiosa RR (late). Samples were taken weekly using a beat sheet, registering the number of nymphs and adults of E. heros. To study the dispersion of E. heros, the following indices were used: variance/ mean ratio, Morisita index, Green coefficient, and the exponent k of the negative binomial distribution. For studies of special distribution models of E. heros, adjustments of Poisson distribution and negative binomial distribution were tested. The spatial distribution of nymphs and adults was aggregated for all the cultivars studied, indicating that cultivars did not alter the distribution behavior of E. heros. Key words: Glycine max (L.). Behavioral ecology. Dispersion. Negative binomial distribution. Neotropical brown stink bug. ResumoO percevejo-marrom-da-soja Euschistus heros, destaca-se como o inseto-praga predominante e mais importante na cultura. O conhecimento do padrão espacial da praga na área é fundamental para o entendimento do seu comportamento. O objetivo do presente trabalho foi estudar a distribuição espacial de E. heros em cultivares de soja transgênica de diferentes ciclos de desenvolvimento.

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“…In sequential sampling, the number of sample units varies, which can help reduce sampling time with no loss of reliability. Further, the sampling units are tested in sequence until the data gathered is sufficient for estimating the parameters and can be subjected to testing hypotheses (Zacks, 2017;Souza et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Bayesian sequential procedure to estimate the viability of seeds Coffea arabica L. in tetrazolium test

Brighenti

Cirillo

Costa

et al. 2019

Sci. agric. (Piracicaba, Braz.)

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Tetrazolium tests use conventional sampling techniques in which a sample has a fixed size. These tests may be improved by sequential sampling, which does not work with fixedsize samples. When data obtained from an experiment are analyzed sequentially the analysis can be terminated when a particular decision has been made, and thus, there is no need to pre-establish the number of seeds to assess. Bayesian statistics can also help, if we have sufficient knowledge about coffee production in the area to construct a prior distribution. Therefore, we used the Bayesian sequential approach to estimate the percentage of viable coffee seeds submitted to tetrazolium testing, and we incorporated priors with information from other analyses of crops from previous years. We used the Beta prior distribution and, using data obtained from sample lots of Coffea arabica, determined its hyperparameters with a histogram and O'Hagan's methods. To estimate the lowest risk, we computed the Bayes risks, which provided us with a basis for deciding whether or not we should continue the sampling process. The results confirm that the Bayesian sequential estimation can indeed be used for the tetrazolium test: the average percentage of viability obtained with the conventional frequentist method was 88 %, whereas that obtained with the Bayesian method with both priors was 89 %. However, the Bayesian method required, on average, only 89 samples to reach this value while the traditional estimation method needed as many as 200 samples.

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Sequential sampling of Euschistus heros (Heteroptera: Pentatomidae) in soybean

Cited by 7 publications

References 17 publications

Spatial distribution and sampling plan of the phytophagous stink bug complex in different soybean production systems

Spatial distribution and sampling plan of the phytophagous stink bug complex in different soybean production systems

Spatial distribution of nymphs and adults of Euschistus heros (Fabricius, 1794) (Heteroptera: Pentatomidae) in transgenic soybean cultivars of different maturing cycles

Bayesian sequential procedure to estimate the viability of seeds Coffea arabica L. in tetrazolium test

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