Soybean Cultivar Differences on Light Interception and Leaf Area Index during Seed Filling

Board, J. E.

doi:10.2134/agronj2004.0305

Cited by 29 publications

(22 citation statements)

References 18 publications

(30 reference statements)

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“…Similarly, the more intensive parasitoid foraging required in order to find their host when plants are more developed, in older phenological stages, when compared to young plants with lesser foliar area, might help to explain the lower parasitism (%) obtained in the older plants for all three studied crops. The foliar area changes over the crop cycle reaching the highest values in the reproductive stage (BOARD, 2004). Consequently, the higher the foliar area is the higher is the work for the parasitoid to reach its host.…”

Section: Discussionmentioning

confidence: 99%

Releasing number of Telenomus remus (Nixon) (Hymenoptera: Platygastridae) against Spodoptera frugiperda Smith (Lepidoptera: Noctuidae) in corn, cotton and soybean

Pomari

Bueno

et al. 2013

Cienc. Rural

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Telenomus remus releasing numbers may vary depending on the crop, plant architecture and/or the plant phenological stage. Thus, we examined the number of parasitoids needed for effective pest control of Spodoptera frugiperda on corn, cotton and soybean. In all crops, the parasitism response in relation to increasing numbers of the parasitoids had a quadratic effect. In corn, the maximum parasitism observed was 99.8% and 96.8% at a parasitoid releasing number of 0.231 and 0.264 T. remus females per S. frugiperda egg at phenological stages V4 and V10, respectively. Differently, in cotton and soybean, the highest parasitim were recorded using the highest tested T. remus releasing numbers (0.297 parasitoid per S. frugiperda egg). In cotton, it was 77.8% and 73.1% at the vegetative and reproductive stages, respectively and in soybean, it was 77.3% and 54.4% also at the vegetative and reproductive stages. Thus, the appropriated T. remus releasing number might vary accordingly to the crop and plant phenological stage, being higher for soybean and cotton and lower for corn.

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Section: Discussionmentioning

confidence: 99%

Releasing number of Telenomus remus (Nixon) (Hymenoptera: Platygastridae) against Spodoptera frugiperda Smith (Lepidoptera: Noctuidae) in corn, cotton and soybean

Pomari

Bueno

et al. 2013

Cienc. Rural

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“…At the Lexington location in 2013 lactofen-treated soybean did not achieve similar light interception as the untreated soybean until R5, but yields were still similar between treated and untreated soybean. Light interception has been shown to have a strong linear correlation to yield at growth stages R1 and R5 (Board, 2004). Lee et al (2008) showed that if canopy light interception approached 90% at R1 and reached 95% by R5, maximum yield would result, likely explaining the similarity in yields.…”

Section: Lactofen Yield and Light Interceptionmentioning

confidence: 99%

Input‐based Stress Management Fails to Increase Soybean Yield in Kentucky

Gregg

Orlowski

Lee

2015

Crop Forage & Turfgrass Mgmt

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Soybean producers have recently adopted management systems that attempt to manipulate plant stress throughout the growing season in an effort to increase yield. The purpose of this study was to determine if management systems that utilize crop inputs to manipulate soybean stress can increase soybean seed yield. Inputs designed to affect soybean stress were applied to early‐maturity (2.8 relative maturity [RM]) and full‐season (4.5 RM) soybean at three locations in Kentucky throughout the 2013 and 2014 growing seasons. Treatments consisted of a single application, sequential applications, or combined applications of the following inputs: lactofen, lambda‐cyhalothrin with thiamethoxam, pyraclostrobin, and N,N’‐diformyl urea. The full‐season soybean yielded greater (19%) than the early‐season soybean, resulting from an increase in mainstem node, pod, and seed numbers. Lactofen decreased early season light interception in all environments but did not affect soybean yield. None of the stress‐management inputs investigated increased yield compared to untreated soybeans. Soybean stress management through prophylactic input application does not appear to be a viable strategy to increase soybean yield.

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“…For purposes of validation, these regression models were applied to data from other research conducted in Baton Rouge, LA (4), St. Gabriel, LA (11,12), Tallassee, AL (23), and Ames, IA (19) (Fig. 3).…”

Section: Response Of Relative Yield To Reduced Relative Light Intercementioning

confidence: 99%

Light Interception as a Yield-Loss Prediction Tool for Defoliation-Induced Yield Loss in Soybean

et al. 2011

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Predicting yield loss from defoliating agents such as insects, diseases, and hail is an important objective for commercial soybean [Glycine max (L.) Merr.] production. Because of its association with canopy photosynthetic rate, light interception has potential use as a yield‐loss prediction tool for defoliation‐induced yield loss. Our objective was to review data from previous defoliation research to generate regression models relating relative yield [(yielddefol / yieldcontrol) × 100] to reduced relative light interception (LI) [(1 − LIdefol / LIcontrol) × 100]. Regression models were developed for the flowering/pod formation period, and for the early, mid, and late seed filling periods. Highly correlated (R2 = 0.74 to 0.95) linear and quadratic regression models were generated relating relative yield to relative light interception reduction. Validation of these models was done using independent studies from Iowa, Alabama, and Louisiana. Observed and predicted relative yields were highly linearly correlated (R2 = 0.93) in a 1:1 linear relationship having a zero y‐intercept, thus demonstrating that our models were robust yield‐loss prediction tools for defoliation‐induced yield loss. Use of these tools as economic thresholds for insecticide application was also discussed and compared with other economic threshold methods (insect counts and percent defoliation).

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Soybean Cultivar Differences on Light Interception and Leaf Area Index during Seed Filling

Cited by 29 publications

References 18 publications

Releasing number of Telenomus remus (Nixon) (Hymenoptera: Platygastridae) against Spodoptera frugiperda Smith (Lepidoptera: Noctuidae) in corn, cotton and soybean

Releasing number of Telenomus remus (Nixon) (Hymenoptera: Platygastridae) against Spodoptera frugiperda Smith (Lepidoptera: Noctuidae) in corn, cotton and soybean

Input‐based Stress Management Fails to Increase Soybean Yield in Kentucky

Light Interception as a Yield-Loss Prediction Tool for Defoliation-Induced Yield Loss in Soybean

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