Heat units, solar radiation and daylength as pepper harvest predictors

Katharine B. Perry, D. C. Sanders, Darbie M. Granberry, J. Thomas Garrett, Dennis R. Decoteau, Russell T. Nagata, Robert J. Dufault, K. Dean Batal, Wayne J. McLaurin

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

Daily maximum and minimum air temperature, total solar radiation and daylength data from seven locations during three seasons of 3 years were used to compare 52 heat unit accumulation models with counting days as a harvest prediction method for pepper. The best model was defined as the one with the least variation, i.e. smallest coefficient of variation (CV). CV's were calculated for each method over all seasons and locations, for each method over all locations for each season, and for each method in each season at each location. In all cases heat unit accumulation methods were better than counting days. The location and season specific model was the most accurate, but the analysis over all seasons and locations did result in smaller CV's than counting days, so improved harvest prediction can be achieved by using regionally developed models.

Original languageEnglish (US)
Pages (from-to)197-205
Number of pages9
JournalAgricultural and Forest Meteorology
Volume65
Issue number3-4
DOIs
StatePublished - Aug 1993

All Science Journal Classification (ASJC) codes

  • Forestry
  • Global and Planetary Change
  • Agronomy and Crop Science
  • Atmospheric Science

Fingerprint Dive into the research topics of 'Heat units, solar radiation and daylength as pepper harvest predictors'. Together they form a unique fingerprint.

Cite this