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Effect of Row Width and Nitrogen on Cotton Morphology and Canopy Microclimate

James J. Marois*, David L. Wright, Pawel J. Wiatrak and Matthew A. Vargas

North Florida Research and Education Center, University of Florida, Quincy, FL 32351-5677



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Fig. 1. Effect of a rain event at 1200 h on temperature (A) and relative humidity (B) in a cotton canopy in conventional (_ _ _ _) and ultra narrow row (_____) cotton. Normalized data plotted against the mean of the conventional and ultra narrow row cotton canopy (C) indicate the differences between the conventional temperature (_____) and ultra narrow row temperature (_ _ _ _) and conventional relative humidity (___ _ __) and ultra narrow row relative humidity (___ ___). If the line is above the 0, the value is greater than the mean; if it is below the value, it is lower than the mean.

 


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Fig. 2. Typical temperature (A) and relative humidity (B) during a day without rain or irrigation in conventional (_ _ _ _) and ultra narrow row (_____) cotton. Normalized data plotted against the mean of the conventional and ultra narrow row cotton canopy (C) indicate the differences between the conventional temperature (_____) and ultra narrow row temperature (_ _ _ _) and conventional relative humidity (___ _ __) and ultra narrow row relative humidity (___ ___). If the line is above the 0, the value is greater than the mean; if it is below, the value is less than the mean.

 


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Fig. 3. Temperature (A), relative humidity (B), and vapor pressure deficit (C) vs. plant height across all treatments and years. In year 2000 Temperature = 44.4 – Height x 19.8, r = 0.70, p < 0.016 Relative Humidity = –17.18 + Height x 120, r = 0.90, p < 0.001 and Vapor Pressure Deficit = 0.406 – Height x 0.41, r = 0.90, p < 0.001. In year 2001 Temperature = 44.7 – Height x 18.5, r = 0.58, p < 0.063 Relative Humidity = 112 – Height x 37.6, r = 0.58, p < 0.063 and Vapor Pressure Deficit = –0.114 + Height x 0.22, r = 0.57, p < 0.068.

 





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