Predicting Heat Stress in Cotton Using Probabilistic Canopy Temperature Forecasts-Reference-Cited by-同舟云学术

Predicting Heat Stress in Cotton Using Probabilistic Canopy Temperature Forecasts

Published:2016-09 Issue:5 Volume:108 Page:1981-1991
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Christ Emily H.¹,Webster Peter J.²,Snider John L.³,Toma Violeta E.²,Oosterhuis Derrick M.⁴,Chastain Daryl R.⁵

Affiliation:

1. Climate Forecast Applications Network 20 Woodchuck Ct.RenoNV89519

2. School of Earth and Atmospheric Sciences Georgia Institute of Technology 311 Ferst DriveAtlantaGA30332

3. Crop & Soil Sciences The Univ. of Georgia 115 Coastal WayTiftonGA31794

4. Dale Bumpers College of Agricultural, Food and Life Sciences The Univ. of Arkansas 1366 Altheimer Dr.FayettevilleAR72704‐6804

5. Delta Research and Extension Center Mississippi State Univ. PO Box 197StonevilleMS38776

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2134/agronj2015.0576

Reference37 articles.

1. British Atmospheric Data Centre.2015.European Centre for Medium‐Range Weather Forecasts atmospheric level types.http://badc.nerc.ac.uk/data/ecmwf‐op/levels.html(accessed 29 Jan. 2015).

2. Variation among species in the temperature‐dependence of the reappearance of variable fluorescence following illumination;Burke J.J.;Plant Physiol.,1990

3. Crop‐Specific Thermal Kinetic Windows in Relation to Wheat and Cotton Biomass Production

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