Development and use of a barley crop simulation model to evaluate production management strategies in north-eastern Australia

Goyne, P.J., Hammer, G.L., Meinke, H., Milroy, S.P. and Hare, J.M. (1996) Development and use of a barley crop simulation model to evaluate production management strategies in north-eastern Australia. Australian Journal of Agricultural Research, 47 7: 997-1015. doi:10.1071/AR9960997


Author Goyne, P.J.
Hammer, G.L.
Meinke, H.
Milroy, S.P.
Hare, J.M.
Title Development and use of a barley crop simulation model to evaluate production management strategies in north-eastern Australia
Journal name Australian Journal of Agricultural Research   Check publisher's open access policy
ISSN 0004-9409
1444-9838
Publication date 1996
Sub-type Article (original research)
DOI 10.1071/AR9960997
Volume 47
Issue 7
Start page 997
End page 1015
Total pages 19
Place of publication Collingwood, VIC, Australia
Publisher C S I R O Publishing
Language eng
Abstract A study was undertaken to identify improved management strategies for barley (Hordeum vulgare L.), particularly in relation to time of planting, location, and frost risk in the variable climate of north-eastern Australia. To achieve this objective, a crop growth simulation model (QBAR) was constructed to integrate the understanding, gained from field experiments, of the dynamics of crop growth as influenced by soil moisture and environmental variables. QBAR simulates the growth and yield potential of barley grown under optimal nutrient supply, in the absence of pests, diseases, and weeds. Genotypic variables have been determined for 4 cultivars commonly grown in the northern cereal production areas. Simulations were conducted using long- term weather data to generate the probabilistic yield outcome of cv. Grimmer for a range of times of planting at 10 locations in the north-eastern Australian grain belt. The study indicated that the common planting times used by growers could be too late under certain circumstances to gain full yield potential. Further applications of QBAR to generating information suitable for crop management decision support packages and crop yield forecasting are discussed.
Keyword Hordeum vulgare
Yield
Frost risk
Planting time
Efficiency
Radiation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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