Time-Sequential Sampling: A New Use of the Sequential Probability Ratio Test for Pest Management Decisions

Pedigo, Larry P.; Schaik, J. W.

doi:10.1093/besa/30.1.32

Cited by 8 publications

(7 citation statements)

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“…Most economic losses are associated with feeding by first-generation larvae, typically coinciding with soybean flowering (Pedigo et al, 1983). Management strategies for GCW on soybean include the use of calculated economic decision levels and grower-based sampling programs (Pedigo and van Schaik, 1984).…”

mentioning

confidence: 99%

Soybean Yield and Pest Management as Influenced by Nematodes, Herbicides, and Defoliating Insects

Browde¹,

Pedigo²,

Owen³

et al. 1994

Agronomy Journal

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Pest management strategies based on crop losses from single stress factors may be inadequate where multiple stresses occur. Consequently, experiments were conducted in 1989, 1990, and 1991 to quantify interactive effects of stresses from soybean cyst nematode (Heterodera glycines Ichinohe), acifluorfen (5‐[2‐chloro‐4‐(trifluoromethyl)phenoxy]‐2‐nitrobenzoic acid) plus bentazon [3‐(1‐methylethyl)‐(1H)‐2,1,3‐benzothiadiazin‐4(3H)‐one 2,2‐dioxide] herbicides, and green cloverworm [Plathypena scabra (F.)] on seed yield of soybean [Glycine max (L.) Merr.]. Treatments were combinations of at‐planting soybean cyst nematode soil density, acifluorfen plus bentazon rate, and green cloverworm defoliation level. Herbicides were applied at V6 soybean development, while green cloverworm feeding was simulated during R2 to R4 soybean development. Plot yield and yield components (pods per plant, seeds per pod, and weight per seed) were determined. Herbicide injury and defoliation independently reduced yield in 1990 and 1991. Yield reductions from defoliation were attributed to fewer pods per plant, while herbicide injury decreased pods per plant (1990) and weight per seed (1990 and 1991). Moreover, herbicide injury and defoliation interacted over 1990 and 1991 to decrease yield. Although stress from soybean cyst nematode alone never affected yield, interactions with herbicides and with defoliation reduced yield in 1990. No treatment effects on yield were found in 1989, probably due to uncontrolled environmental factors. Because of the 2‐yr herbicides × defoliation effect, lower economic injury levels for green cloverworm were developed for soybean treated with acifluorfen plus bentazon. To account for potential interactions involving soybean cyst nematode, growers will be advised to consider adjusting weed and insect management strategies for soybean fields infested with soybean cyst nematode.

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mentioning

confidence: 99%

Soybean Yield and Pest Management as Influenced by Nematodes, Herbicides, and Defoliating Insects

Browde¹,

Pedigo²,

Owen³

et al. 1994

Agronomy Journal

Self Cite

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“…Scouting for GCW would probably be unnecessary in this situation. This rationale led Pedigo and van Schaik (1984) to develop a new sequential sampling approach, called time sequential sampling. In this article, Pedigo and van Schaik proposed a comprehensive management program involving both time sequential sampling and, if necessary, conven tional sequential sampling for GCW larvae.…”

Section: Pest Management Programsmentioning

confidence: 99%

Soybean transpiration, vegetative morphology, and yield components following simulated and actual insect defoliation

Ostlie

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The green cloverworm (GCW) (Plathypena scahra [F.]) is a serious but sporadic pest of soybeans throughout the Midwest. Outbreaks occurred in Iowa during 1966, 1968, and 1973, with a number of minor epiphytotics in subsequent years (Pedigo et al., 1983). The random nature of these out breaks and the extent of subsequent damage has prompted extensive research on GCW life history, sampling, seasonal population dynamics, and impacts on soybean production in Iowa. The GCW is a noctuid moth with a broad host range of 34 species, in cluding many native and introduced legumes. In the Iowa agroecosystem, its main crop hosts include soybean and alfalfa (Pedigo et al., 1973). Alfalfa management practices in Iowa usually do not permit sufficient thermal units to accumulate between cuttings for complete larval development. Conse quently, alfalfa primarily serves as a population sink for GCW with little chance that populations in alfalfa contribute to populations in nearby soy bean fields (Buntin and Pedigo, 1983). Because of management practices, poDulations in alfalfa rarely cause economic loss, but, in soybean, econom ic losses frequently occur during outbreaks. Black!ight trap captures of GCW adults indicate that 3 or 4 major flights occur each year in Iowa (Figure 2) (Buntin and Pedigo, 1983). The last flight of each season is composed primarily of dark-phase individuals. These dark-phase adults, in a state of reproductive diapause (Scott and Pedigo, 1977), are the primary overwintering stage in northern latitudes

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“…Sun and Du (1991) reported that rice stem borer (Chilo suppressalis) larvae have an aggregated distribution pattern the active seasons but the dispersal rate of larvae in changes with developmental stages. The numbers of the required sampling units are dependent upon the insects being sampled, their distribution patterns, and other factors (Pedigo and Van Schaik, 1984). The required sampling size typically increased with higher precisions and for lower levels of infestations.…”

Section: Sampling Size Based On Percent Infestation Of Maize At Mid-wmentioning

confidence: 99%

Spatial distribution and sampling size for monitoring of African maize stem borer, Busseola fusca (Fuller) (Lepidoptera: Noctuidae) on maize (Zea mays L.) in Southern Ethiopia

Taddele¹,

Azerefegne²,

Beyene³

2020

Afr. J. Agric. Res.

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The African maize stem borer (Busseola fusca) is one of the important biotic constraints for maize production in sub-Saharan African. This study determined the spatial distribution and sampling sizes for African maize stem borer in Southern Ethiopia. Twenty four maize farms were visited in 12 localities at three growth stage of maize. Data were collected on the number of infested and not-infested plants, and the number of larvae and pupae. There were variations in the levels of infestations and population density of B. fusca in the study areas and years. Percent infestation at mid-whorl stage of maize ranged from 13.6 to 25.9% and 19.5 to 41.4% in 2015 and 2016, respectively. Infestation increased through time and at harvesting stage reached ranges of 36.8 to 68.8% in 2015 and 65.5 to 80.7% in 2016. The optimal sample size for four fixed precision levels of 0.10, 0.15, 0.20 and 0.25 were estimated with Iwao's regression coefficients. The distribution pattern of B. fusca varied between maize growth stages, locations and years. At mid-whorl stage of maize, B. fusca infested plants were aggregated but in both at silking and harvesting stage uniformly distributed. At mid-whorl as well as silking stage of maize B. fusca larvae were aggregated. But, larvae at harvesting stage and pupae in both silking and harvesting stages of maize were randomly distributed. For 10% infestation, which is considered as action threshold level for stem borers management on maize, 22 sampling units (660 plants) at the precision of 20% are required.

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Time-Sequential Sampling: A New Use of the Sequential Probability Ratio Test for Pest Management Decisions

Cited by 8 publications

References 0 publications

Soybean Yield and Pest Management as Influenced by Nematodes, Herbicides, and Defoliating Insects

Soybean Yield and Pest Management as Influenced by Nematodes, Herbicides, and Defoliating Insects

Soybean transpiration, vegetative morphology, and yield components following simulated and actual insect defoliation

Spatial distribution and sampling size for monitoring of African maize stem borer, Busseola fusca (Fuller) (Lepidoptera: Noctuidae) on maize (Zea mays L.) in Southern Ethiopia

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