Statistical relationships between hailfall and damage to wheat

Richard W. Katz, Rolando R. Garcia

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Crop-hail damage functions, i.e., statistical relationships between crop damage and hailfall, based on data from networks of hailpads in northeastern Colorado and southwestern Nebraska have been developed for wheat. The hailfall variables considered as predictors of loss in crop yield include kinetic energy, momentum, mass, and number of hailstones greater than 12.7 mm in diameter. Different damage functions are estimated for four stages of development of the wheat crop: just headed or earlier, milk, soft dough, and hard dough. To represent the nonlinear relationship between crop damage and hailfall, logistic functions are used. These statistical models should aid in assessing the economic impact of hail on crop production.

Original languageEnglish
Pages (from-to)29-43
Number of pages15
JournalAgricultural Meteorology
Volume24
Issue numberC
DOIs
StatePublished - 1981
Externally publishedYes

Fingerprint

Dive into the research topics of 'Statistical relationships between hailfall and damage to wheat'. Together they form a unique fingerprint.

Cite this