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Bruce A. Kimball

Researcher at Agricultural Research Service

Publications -  243
Citations -  17104

Bruce A. Kimball is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Evapotranspiration & Stomatal conductance. The author has an hindex of 69, co-authored 240 publications receiving 15199 citations. Previous affiliations of Bruce A. Kimball include Monell Chemical Senses Center & Colorado State University.

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Measuring Wheat Senescence with a Digital Camera

TL;DR: Color digital imaging appears useful for quantifying the senescence of crop canopies and changes in greenness determined by two established methods are compared.
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Effects of atmospheric CO2 enrichment on plant growth: the interactive role of air temperature

TL;DR: In this article, the authors demonstrate that the effect of atmospheric CO2 enrichment on plant growth is strongly temperature dependent, and that for a 3°C increase in mean surface air temperature (as is generally predicted to result from the ‘greenhouse effect' of such an increase in the CO2 content of the air), the growth enhancement factor for such a CO2 increase rises from 1.30 to 1.56.
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Theory and performance of an infrared heater for ecosystem warming

TL;DR: In this paper, a theoretical equation was derived to predict the thermal radiation power required to warm a plant canopy per degree rise in temperature per unit of heated land area, and an actual infrared heater system was also assembled which utilized two infrared thermometers to measure the temperature of a heated plot and that of an adjacent reference plot and which used proportional-integrative-derivative control of the heater to maintain a constant temperature difference between the two plots.
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Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index

TL;DR: In this article, a generalized basal crop coefficient (Kcb) estimation model based on observations of the normalized difference vegetation index (NDVI) for a full-season cotton grown in the desert southwestern USA was developed and evaluated.
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The uncertainty of crop yield projections is reduced by improved temperature response functions.

Enli Wang, +65 more
- 17 Jul 2017 - 
TL;DR: A set of new temperature response functions are derived that when substituted in four wheat models reduced the error in grain yield simulations across seven global sites with different temperature regimes, leading to higher skill of crop yield projections.