Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production

Chauhan, Y. S., Solomon, K. F. and Rodriguez, D. (2013) Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production. Field Crops Research, 144 245-255. doi:10.1016/j.fcr.2013.01.018

Author Chauhan, Y. S.
Solomon, K. F.
Rodriguez, D.
Title Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production
Journal name Field Crops Research   Check publisher's open access policy
ISSN 0378-4290
Publication date 2013-03-20
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.fcr.2013.01.018
Open Access Status
Volume 144
Start page 245
End page 255
Total pages 11
Place of publication Amsterdam, The Netherlands
Publisher Elsevier
Collection year 2014
Language eng
Abstract Recurring water stresses are a major risk factor for rainfed maize cropping across the highly diverse agro-ecological environments of Queensland (Qld) and northern New South Wales (NNSW). Enhanced understanding of such agro-ecological diversity is necessary to more consistently sample target production environments for testing and targeting release of improved germplasm, and to improve the efficiency of the maize pre-breeding and breeding programs of Qld and New South Wales. Here, we used the Agricultural Production Systems Simulator (APSIM) – a well validated maize crop model to characterize the key distinctive water stress patterns and risk to production across the main maize growing regions of Qld and NNSW located between 15.8◦ and 31.5◦S, and 144.5◦ and 151.8◦E. APSIM was configured to simulate daily water supply demand ratios (SDRs) around anthesis as an indicator of the degree of water stress,and the final grain yield. Simulations were performed using daily climatic records during the period between 1890 and 2010 for 32 sites-soils in the target production regions. The runs were made assuming adequate nitrogen supply for mid-season maize hybrid Pioneer 3153. Hierarchical complete linkage analyses of the simulated yield resulted in five major clusters showing distinct probability distribution of the expected yields and geographic patterns. The drought stress patterns and their frequencies using SDRs were quantified using multivariate statistical methods. The identified stress patterns included no stress,mid-season (flowering) stress, and three terminal stresses differing in terms of severity. The combined frequency of flowering and terminal stresses was highest (82.9%), mainly in sites-soils combinations in the west of Qld and NNSW. Yield variability across the different sites-soils was significantly related to the variability in frequencies of water stresses. Frequencies of water stresses within each yield cluster tended to be similar, but different across clusters. Sites-soils falling within each yield cluster therefore could be treated as distinct maize production environments for testing and targeting newly developed maize cultivars and hybrids for adaptation to water stress patterns most common to those environments.
Keyword APSIM model
Water stress
Zea mays L
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 14 times in Scopus Article | Citations
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Created: Fri, 12 Apr 2013, 14:52:11 EST by Daniel Rodriguez on behalf of Centre for Plant Science