In:
Soil Science Society of America Journal, Wiley, Vol. 54, No. 1 ( 1990-01), p. 209-216
Abstract:
A crop model for corn is presented that uses readily available soil, crop, meteorological, and management data as inputs to integrate the effects on grain yield of water stress, plant density, deficit of growing degree days, and planting date. The model can be run on an IBM‐PC, was developed for use in the deep loessial lands of the Upper Mississippi Valley in Major Land Resource Area (MLRA) 105 and associated soil areas, and was calibrated using data for 1972 through 1984 from tillage‐residue management experiments at Lancaster, WI. Estimated water stress, deficit in air‐temperature growing degree days (GDD), and plant density accounted for 77% of the 79% of yield variation explained by the model. The standard error of estimate for predicted yield was 0.67 Mg ha −1 . Presence in the data set of interactions between water stress and GDD, and also water stress with plant density, allowed their incorporation into the model. Tillage and residue management had the principal effects of modifying plant density, soil water storage, and rate of phenologic development to the six‐leaf stage.
Type of Medium:
Online Resource
ISSN:
0361-5995
,
1435-0661
DOI:
10.2136/sssaj1990.03615995005400010033x
Language:
English
Publisher:
Wiley
Publication Date:
1990
detail.hit.zdb_id:
241415-6
detail.hit.zdb_id:
2239747-4
detail.hit.zdb_id:
196788-5
detail.hit.zdb_id:
1481691-X
SSG:
13
SSG:
21
Permalink
