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1. A Sunflower Simulation Model: II. Simulating Production Risks in a Variable Sub-Tropical Environment

Author:
Meinke, Holger; Hammer, Graeme L.; Chapman, Scott C.
Source:
Agronomy journal 1993 v.85 no.3 pp. 735-742
ISSN:
0002-1962
Subject:
simulation models; Helianthus annuus; sowing date; tropics; subtropics; growth models; crop yield; seasonal variation; climatic factors; decision making; prediction; Queensland
Abstract:
... In highly variable environments, farmers require quantitative information on production risk to make well informed farming decisions. In many cases this can only be achieved through simulation studies. Thus, the dynamic sunflower (Helianthus annuus L) model QSUN was used, in conjunction with long-term climate records, to quantify the impact of climatic variability on production. Simulation results ...
DOI:
10.2134/agronj1993.00021962008500030039x

2. A Sunflower Simulation Model: I. Model Development

Author:
Chapman, Scott C.; Hammer, Graeme L.; Meinke, Holger
Source:
Agronomy journal 1993 v.85 no.3 pp. 725-735
ISSN:
0002-1962
Subject:
simulation models; Helianthus annuus; plant development; dry environmental conditions; phenology; dry matter accumulation; growth models; crop yield; decision making; prediction
Abstract:
... In dryland farming systems, opportunities to improve sunflower (Helianthus annuus L.) yields are mostly associated with management decisions made at planting. Dynamic crop simulation models can assist in making such decisions. This study reports the structure of QSUN, a simple and mechanistic crop model for sunflower, and how it accounts for the dynamic interaction of the crop with the soil and ae ...
DOI:
10.2134/agronj1993.00021962008500030038x