Use of empirical global radiation models for maize growth simulation-Reference-Cited by-同舟云学术

Use of empirical global radiation models for maize growth simulation

Published:2004-11 Issue:1-2 Volume:126 Page:47-58
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Pohlert Thorsten

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. Allen, R., 1995. Evaluation of procedures of estimating mean monthly solar radiation from air temperature. FAO, Rome.

2. Self-calibrating method for estimating solar radiation from air temperature;Allen;J. Hydrol. Eng,1997

3. Solar and terrestrial radiation;Ångstrøm;Q.J.R. Meterol. Soc,1924

4. Boogard, H.L., Van Diepen, C.A., Rötter, R.P., Cabrera, J.M.C.A., Van Laar, H.H., 1998. User‘s guide for the WOFOST 7.1. crop growth simulation model and WOFOST Control Center 1.5. SC-DLO Technical Document 52, Wageningen, p. 127

5. Potential uses and limitations of crop models;Boote;Agron. J,1996

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