Accession Number : ADP002072

Title :   Modeling Soybean Development from Daylength and Temperature Data,


Personal Author(s) : Ravelo,A. C. ; Pascale,A. J. ; Planchuelo Ravelo,A. M.

Report Date : JUN 1982

Pagination or Media Count : 6

Abstract : A crop calendar model which tracks the development of a crop is of particular importance to satellite imagery analysts. A soybean growth stage model was developed using an iterative regression analysis (IRA) technique. The IRA relates span of days for soybean growth stages to daylength and daily air temperatures and evaluates the simple and interacting contribution to soybean development of these environmental variables. The effects of daylength and temperature on soybean develoment were studied in data of planting experiments. Dates for significant crop growth stages such as beginning of flowering, beginning of pod development, end of pod development, beginning of leaf senescence and leaf falling were recorded for three soybean cultivars from maturity group IV (Clark, Bethel and Scott). A total of 16 planting dates at about three-week intervals during seven growing seasons (1962/63 to 1969/70) provided a number of temperature and daylength treatments.

Descriptors :   *Remote systems, *Geobotanical mapping, *Soybeans, Plant growth, Models, Regression analysis, Daylight, Temperature, Planting, Image processing

Distribution Statement : APPROVED FOR PUBLIC RELEASE