Architectural modelling of maize under water stress

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dc.contributor Birch, CJ
dc.contributor Thornby, D
dc.contributor Adkins, S
dc.contributor Andrieu, B
dc.contributor Hanan, J
dc.date.accessioned 2012-03-07T22:23:23Z
dc.date.available 2012-03-07T22:23:23Z
dc.date.issued 2008
dc.identifier.citation Aust. J. Exp. Agr. (2008) 48(3): 335-341
dc.identifier.issn 0816-1089
dc.identifier.uri http://livestocklibrary.com.au/handle/1234/22980
dc.description.abstract Two field experiments using maize (Pioneer 31H50) and three watering regimes [(i) irrigated for the whole crop cycle, until anthesis, (ii) not at all (experiment 1) and (iii) fully irrigated and rain grown for the whole crop cycle (experiment 2)] were conducted at Gatton, Australia, during the 2003?04 season. Data on crop ontogeny, leaf, sheath and internode lengths and leaf width, and senescence were collected at 1- to 3-day intervals. A glasshouse experiment during 2003 quantified the responses of leaf shape and leaf presentation to various levels of water stress. Data from experiment 1 were used to modify and parameterise an architectural model of maize (ADEL-Maize) to incorporate the impact of water stress on maize canopy characteristics. The modified model produced accurate fitted values for experiment 1 for final leaf area and plant height, but values during development for leaf area were lower than observed data. Crop duration was reasonably well fitted and differences between the fully irrigated and rain-grown crops were accurately predicted. Final representations of maize crop canopies were realistic. Possible explanations for low values of leaf area are provided. The model requires further development using data from the glasshouse study and before being validated using data from experiment 2 and other independent data. It will then be used to extend functionality in architectural models of maize. With further research and development, the model should be particularly useful in examining the response of maize production to water stress including improved prediction of total biomass and grain yield. This will facilitate improved simulation of plant growth and development processes allowing investigation of genotype by environment interactions under conditions of suboptimal water supply.
dc.publisher CSIRO Publishing
dc.source.uri http://www.publish.csiro.au/?act=view_file&file_id=EA06105.pdf
dc.subject functional?structural plant modelling
dc.subject internode extension
dc.subject leaf extension
dc.subject Zea mays
dc.title Architectural modelling of maize under water stress
dc.type Research
dc.description.version Journal article
dc.identifier.volume 48
dc.identifier.page 335-341
dc.identifier.issue 3


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