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Rachel Leisso, Ines Hanrahan, and Jim Mattheis

temperature data and at-harvest quality measures that were evaluated for their ability to predict incidence of soft scald at 12 weeks of storage. The dashed line indicates the threshold value for either low- or high-risk prediction. GDD = growing degree day

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Steve M. Spangler, Dennis D. Calvin, Joe Russo, and Jay Schlegel

Infestation of sweet corn (Zea mays) at harvest by european corn borer (Ostrinia nubilalis) was examined in 16 hybrid/harvest date combinations from 1994 through 1996 in central Pennsylvania. Two general periods of sweet corn ear infestation levels were observed. Infestations, expressed as proportion of ears infested, were 0.11 (11%) or lower in 10 of 11 plots harvested from 21 July to 23 Aug., whereas they were noticeably higher (30%–88%) in September and early October. Infestations expressed as larvae per ear showed the same temporal pattern. A nonlinear (sigmoidal) relationship was found between degree-days from 1 Jan. and proportion of ears infested. The higher infestations were caused by the second-generation larvae of the bivoltine ecotype. Based on these relationships, a risk-prediction system is proposed that anticipates, at planting, harvest infestation by using predicted harvest dates of sweet corn, european corn borer life stages, and infestation levels. Examples are presented for multiple plantings and hybrids for a specific site and a landscape (Pennsylvania). The risk prediction system we propose will allow growers to anticipate the risk of ear infestations at planting time, thus providing predictions that would help with management decisions.

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-flow technique culture system. Risk-prediction System for European Corn Borer in Sweet Corn Harvest infestations of sweet corn by european corn borer larvae were examined in central Pennsylvania. Spangler et al. (p. 173) found a strong relationship between

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Agnieszka Masny, Edward Żurawicz, Kris Pruski, and Wiesław Mądry

in soil and the incidence of strawberry wilt as a basis for disease risk prediction Plant Pathol. 45 106 114 Hortyński, J.A. 1987 Dziedziczenie niektórych cech ilościowych truskawki ( Fragaria × ananassa Duch.). Metody i problemy oszacowań

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Maude Lachapelle, Gaétan Bourgeois, Jennifer R. DeEll, Katrine A. Stewart, and Philippe Séguin

time of vascular browning risk during the growing season. Disorder risk predictions from this model, using weather data, were conducted for comparison with predictions from the soggy breakdown model developed in this study. Accurate predictions for