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 Citations (Scopus)

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 - Jan 1 1993

Fingerprint

pepper
solar radiation
photoperiod
heat
methodology
prediction
harvest
air temperature
method

All Science Journal Classification (ASJC) codes

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

Cite this

Perry, K. B., Sanders, D. C., Granberry, D. M., Thomas Garrett, J., Decoteau, D. R., Nagata, R. T., ... McLaurin, W. J. (1993). Heat units, solar radiation and daylength as pepper harvest predictors. Agricultural and Forest Meteorology, 65(3-4), 197-205. https://doi.org/10.1016/0168-1923(93)90004-2
Perry, Katharine B. ; Sanders, D. C. ; Granberry, Darbie M. ; Thomas Garrett, J. ; Decoteau, Dennis R. ; Nagata, Russell T. ; Dufault, Robert J. ; Dean Batal, K. ; McLaurin, Wayne J. / Heat units, solar radiation and daylength as pepper harvest predictors. In: Agricultural and Forest Meteorology. 1993 ; Vol. 65, No. 3-4. pp. 197-205.
@article{00e82d83ff2a492bbba985e099622a57,
title = "Heat units, solar radiation and daylength as pepper harvest predictors",
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.",
author = "Perry, {Katharine B.} and Sanders, {D. C.} and Granberry, {Darbie M.} and {Thomas Garrett}, J. and Decoteau, {Dennis R.} and Nagata, {Russell T.} and Dufault, {Robert J.} and {Dean Batal}, K. and McLaurin, {Wayne J.}",
year = "1993",
month = "1",
day = "1",
doi = "10.1016/0168-1923(93)90004-2",
language = "English (US)",
volume = "65",
pages = "197--205",
journal = "Agricultural and Forest Meteorology",
issn = "0168-1923",
publisher = "Elsevier",
number = "3-4",

}

Perry, KB, Sanders, DC, Granberry, DM, Thomas Garrett, J, Decoteau, DR, Nagata, RT, Dufault, RJ, Dean Batal, K & McLaurin, WJ 1993, 'Heat units, solar radiation and daylength as pepper harvest predictors', Agricultural and Forest Meteorology, vol. 65, no. 3-4, pp. 197-205. https://doi.org/10.1016/0168-1923(93)90004-2

Heat units, solar radiation and daylength as pepper harvest predictors. / Perry, Katharine B.; Sanders, D. C.; Granberry, Darbie M.; Thomas Garrett, J.; Decoteau, Dennis R.; Nagata, Russell T.; Dufault, Robert J.; Dean Batal, K.; McLaurin, Wayne J.

In: Agricultural and Forest Meteorology, Vol. 65, No. 3-4, 01.01.1993, p. 197-205.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Heat units, solar radiation and daylength as pepper harvest predictors

AU - Perry, Katharine B.

AU - Sanders, D. C.

AU - Granberry, Darbie M.

AU - Thomas Garrett, J.

AU - Decoteau, Dennis R.

AU - Nagata, Russell T.

AU - Dufault, Robert J.

AU - Dean Batal, K.

AU - McLaurin, Wayne J.

PY - 1993/1/1

Y1 - 1993/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0027844224&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027844224&partnerID=8YFLogxK

U2 - 10.1016/0168-1923(93)90004-2

DO - 10.1016/0168-1923(93)90004-2

M3 - Article

AN - SCOPUS:0027844224

VL - 65

SP - 197

EP - 205

JO - Agricultural and Forest Meteorology

JF - Agricultural and Forest Meteorology

SN - 0168-1923

IS - 3-4

ER -