A soybean crop phenology model for crop condition assessment /

Bibliographic Details
Main Author: Gay, Cheryl Jenann Aeschbach
Other Authors: Goeschl, John (degree committee member.), Hyman, William A. (degree committee member.), Miller, Gerald E. (degree committee member.), Newton, Ronald J. (degree committee member.)
Format: Thesis Book
Language:English
Published: 1986.
Subjects:
Online Access:ProQuest, Abstract
Link to OAKTrust copy

MARC

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049 |a TXAM 
099 |a 1986  |a Disser-  |a tation  |a G285 
100 1 |a Gay, Cheryl Jenann Aeschbach. 
245 1 2 |a A soybean crop phenology model for crop condition assessment / 
264 1 |c 1986. 
300 |a ix, 186 leaves :  |b illustrations ;  |c 29 cm 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
500 |a Typescript (photocopy). 
502 |b Ph. D.  |c Texas A & M University  |d 1986 
500 |a Vita. 
504 |a Includes bibliographical references (leaves 130-137). 
500 |a "Major subject: Bioengineering." 
520 3 |a A computer model is presented which determines area-wide crop stress, for areas in the range of 100 km^2. Simplified mechanisms of the principle processes governing growth and development of the soybean plant (and crop) are proposed, allowing the simulation to be useful anywhere soybeans are grown, rather than restricted to use in areas where data for regression-based equations have been taken. The crop simulator accounts for the effects of a number of types of environmental conditions which may modify plant growth and development, including water deficit, sub- or supra-optimal temperatures, photoperiod, and also conditions that may delay planting or harvest of the crop. The crop phenology simulator differs significantly from previous models in its inclusion of circadian rhythm and temperature interactions in a mechanistic model of floral induction. A major consideration underlying the development of the model is the fact that the plant's developmental stage influences its response to environmental conditions both qualitatively and quantitatively. The input information required for crop simulation has been restricted to daily weather data which is commonly available throughout the world (daily minimum and maximum temperatures, rainfall, solar radiation estimate). Required site information has been kept to a minimum, and includes latitude, general soil texture, moisture holding capacity, and depth. The simulation can be stopped or resumed at any time during the season. Predicted crop status can also be updated with the observed status when necessary (i.e., reduced leaf area due to hail damage). Information reported by the crop simulator includes crop developmental stage, dates on which environmental conditions significantly retard plant growth and/or development (and an identification of the source of stress--temperature, low moisture), dates on which environmental conditions are optimal for plant growth and development processes, and daily reports of soil moisture content and distribution and an indication of moisture availability to the crop. 
650 0 |a Plant phenology  |x Mathematical models. 
650 0 |a Agricultural estimating and reporting. 
650 0 |a Soybean. 
650 4 |a Major bioengineering. 
655 7 |a Academic theses  |2 lcgft 
700 1 |a Fares, Youhanna,  |e degree supervisor. 
700 1 |a Goeschl, John,  |e degree committee member. 
700 1 |a Hyman, William A.,  |e degree committee member. 
700 1 |a Miller, Gerald E.,  |e degree committee member. 
700 1 |a Newton, Ronald J.,  |e degree committee member. 
710 2 |a Texas A & M University,  |e degree granting institution. 
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