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ARS Home » Southeast Area » Florence, South Carolina » Coastal Plain Soil, Water and Plant Conservation Research » Research » Publications at this Location » Publication #62063
Title: PREDICTING CROP YIELD VARIABILITY

Author
item Sadler, Edward
item RUSSELL, G - UNIV OF EDINBURGH

Submitted to: Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 8/15/1995
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Site-specific, or precision, farming is gaining acceptance by the full spectrum of farming interests. This growth is fueled by new commercial equipment, increasing awareness of variability, recognition of consequences of uniform culture, and new techniques to handle spatial data. Lagging behind, however, is modeling of crop yield under spatially and temporally variable conditions. Most modeling to date has been concerned with predicting mean yields at large scales rather than accounting for variability at field scales. By definition, successful modeling for site-specific conditions requires quantitatively appropriate sensitivity to all important input parameters, which knowledge has not been completely determined nor built into models. No known models predict both the mean and the expected variability, though some work has been seen in hydrologic models. The paper will summarize existing work, address the requirements for modeling of crop yield in site-specific management, and propose possible directions for future research.