Main Title |
Assessing Impacts of Ozone on Agricultural Crops: 2. Crop Yield Functions and Alternative Exposure Statistics. |
Author |
Heck, W. W. ;
Cure, W. W. ;
Rawlings, J. O. ;
Zaragoza, L. J. ;
Heagle, A. S. ;
|
CORP Author |
Agricultural Research Service, Beltsville, MD. ;North Carolina Agricultural Research Service, Raleigh. ;North Carolina State Univ. at Raleigh.;Corvallis Environmental Research Lab., OR. |
Year Published |
1984 |
Report Number |
EPA/600/J-84/141; |
Stock Number |
PB85-124501 |
Additional Subjects |
Ozone ;
Farm crops ;
Air pollution ;
Environmental impacts ;
Assessments ;
Exposure ;
Sites ;
Statistical analysis ;
Reprints ;
Air pollution effects(Plants)
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB85-124501 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
10p |
Abstract |
A principal objective of the National Crop Loss Assessment Network (NCLAN) is to develop O3 dose-crop yield response models for use in assessing the effects of O3 on economically important crop species and cultivars. This paper is part of a third assessment report from NCLAN. The NCLAN is composed of several cooperating programs with field sites in different regions of the country. Open-top chambers allow control of O3 around the crop plants; four to six O3 treatments are used, and the results subjected to regression analysis. In this report, the Weibull model is used to develop O3 concentration-crop yield functions for the major crops studied in 1980 and 1981, and for all crops studied during 1982. Four O3 averaging times (exposure statistics) are used in a Weibull model for each experimental data set. Models derived using two seasonal mean O3 statistics (1-h/day and 7-h/day means) and two seasonal peak O3 statistics (1-h and 7-h) are compared. The results suggest that all four O3 statistics are of similar value when obtained from and used for the same data set. Seasonal mean O3 statistics can be used to develop models which can be used to estimate yield of a given crop from data obtained from different sites or from different years at one site. However, peak statistics obtained from one site cannot be used to predict yield from data obtained at a second site, or from data obtained at the same site in different years. |