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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE

Analysis of maize canopy development under water stress and incorporation into the ADEL-Maize model

Youhong Song A , Colin Birch A C and Jim Hanan B D
+ Author Affiliations
- Author Affiliations

A The University of Queensland, School of Land, Crop and Food Sciences, Gatton, Qld 4343, Australia.

B The University of Queensland, Centre for Biological Information Technology, Brisbane, Qld 4072, Australia.

C Present address: The University of Tasmania, Cradle Coast Campus, Burnie, Tas. 7320, Australia.

D Corresponding author. Email: j.hanan@uq.edu.au

This paper originates from a presentation at the 5th International Workshop on Functional–Structural Plant Models, Napier, New Zealand, November 2007.

Functional Plant Biology 35(10) 925-935 https://doi.org/10.1071/FP08055
Submitted: 7 March 2008  Accepted: 29 July 2008   Published: 11 November 2008

Abstract

Substantial progress in modelling crop architecture has been made under optimal watering conditions; however, crop production is often exposed to water stress. In this research, we develop methods for implementing the simulation of maize (Zea mays L.) canopy architectural development under water stress using data from a maize field trial in 2006–07. Data of leaf number, leaf and internode extension were collected using non-destructive and destructive sampling at 2–3 day intervals. Water stress reduced the extension rate of organs and, therefore, their final length, the reduction being greater as severity of water stress increased. The duration of extension of organs in most phytomers was not significantly affected by water stress. Also, the rate of extension during the linear phase responded linearly to fraction of extractable soil water. An existing 3-D architectural model ADEL-Maize was revised using relationships developed in this study to better incorporate effects of water stress on organ extension and production. Simulated canopy production under three water regimes was validated by comparing predicted final leaf and internode length, plant height and leaf area to independent observations. The analysis and simulation showed that maize organ extension and final length under water stress can be adequately represented by simple linear patterns that are easily integrated into models.

Additional keywords: crop architecture, linear extension, Zea mays.


Acknowledgements

The financial support of the University of Queensland for the research and postdoctoral fellowship for the senior author is gratefully acknowledged. We appreciate the Scientific Officers Mr Victor Robertson and Mr Ian Broad for assistance in 2006–07 field experiment and Mr Al Doherty for assistance in use of APSIM-Maize. Anonymous reviewers are also appreciated for their valuable comments.


References


Abrecht DG, Carberry PS (1993) The influence of water deficit prior to tassel initiation on maize growth, development and yield. Field Crops Research 31, 55–69.
Crossref | GoogleScholarGoogle Scholar | [Verified 10 September 2008]

Batten G , Katupitiya A , Pratley J (2003) Irrigation management. In ‘Principles of field crop production’. 4th edn. (Ed. J Pratley) pp. 418–462. (Oxford University Press: Melbourne)

Birch CJ, Andrieu B, Fournier C (2002) Dynamics of internode and stem elongation in three cultivars of maize. Agronomie 22, 511–524.
Crossref | GoogleScholarGoogle Scholar | open url image1

Birch CJ, Andrieu B, Fournier C, Kroesen C (2007) Parameterization of processes of leaf extension in tropically adapted maize cultivars sown on two dates at Gatton. European Journal of Agronomy 27, 215–224.
Crossref | GoogleScholarGoogle Scholar | open url image1

Birch CJ, Thornby D, Adkins S, Andrieu B, Hanan J (2008a) Architectural modelling of maize under water stress. Australian Journal of Experimental Agriculture 48, 335–341.
Crossref | GoogleScholarGoogle Scholar | open url image1

Birch CJ, Stephen K, McLean G, Doherty A, Hammer GL, Robertson MJ (2008b) Reliability of production of quick to medium maturity maize in areas of variable rainfall in north-east Australia. Australian Journal of Experimental Agriculture 48, 326–334.
Crossref | GoogleScholarGoogle Scholar | open url image1

Cieslak M, Lemieux C, Hanan J, Prusinkiewicz P (2008) Quasi-Monte Carlo simulation of the light environment of plants. Functional Plant Biology 35, 837–849. open url image1

Craufurd PQ, Prasad PVV, Waliyar F, Taheri A (2006) Drought, pod yield, pre-harvest Aspergillus infection and aflatoxin contamination on peanut in Niger. Field Crops Research 98, 20–29.
Crossref | GoogleScholarGoogle Scholar | open url image1

Dalgleish N , Foale M (1998) ‘Soil matters – monitoring soil water and nutrients in raingrown farming.’ (Agricultural Production Systems Research Unit: Toowoomba, Qld)

Dingkuhn M, Luquet D, Kim H, Tambour L, Clément-Vidal A (2006) EcoMeristem, a model of morphogenesis and competition among sinks in rice. 2. Simulating genotype responses to phosphorus deficiency. Functional Plant Biology 33, 325–337.
Crossref | GoogleScholarGoogle Scholar | open url image1

Evers JB, Vos J, Fournier C, Andrieu B, Chelle M, Struik PC (2007) An architectural model of spring wheat: evaluation of the effects of population density and shading on model parameterization and performance. Ecological Modelling 200, 308–320.
Crossref | GoogleScholarGoogle Scholar | open url image1

Farré I, Faci JM (2006) Comparative response of maize (Zea mays L.) and sorghum (Sorghum bicolour L. Moench) to irrigation deficit in a Mediterranean environment. Agricultural Water Management 83, 135–143.
Crossref | GoogleScholarGoogle Scholar | open url image1

Fournier C, Andrieu B (1998) A 3-D architectural and process-based model of maize development. Annals of Botany 81, 233–250.
Crossref | GoogleScholarGoogle Scholar | open url image1

Fournier C, Andrieu B (1999) ADEL-maize: an L-system based model for the integration of growth processes from the organ to the canopy. Application to regulation of morphogenesis by light availability. Agronomie 19, 313–327.
Crossref | GoogleScholarGoogle Scholar | open url image1

Fournier C, Andrieu B (2000) Dynamics of the elongation of internodes in maize (Zea mays L.): analysis of phases of elongation and their relationships to phytomer development. Annals of Botany 86, 551–563.
Crossref | GoogleScholarGoogle Scholar | open url image1

Fournier C, Durand JL, Ljutovac S, Schäufele R, Gastal F, Andrieu B (2005) A functional-structural model of elongation of the grass leaf and its relationships with the phyllochron. New Phytologist 166, 881–894.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Granier C, Tardieu F (1999) Water deficit and spatial pattern of leaf development. Variability in responses can be simulated using a simple model of leaf development. Plant Physiology 119, 609–620.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Guo Y, Ma Y, Zhan Z, Li B, Dingkuhn M, Luquet D, de Reffye P (2006) Parameter optimization and field validation of the functional–structural model GREENLAB for maize. Annals of Botany 97, 217–230.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Hanan JS, Hearn AB (2003) Linking physiological and architectural models of cotton. Agricultural Systems 75, 47–77.
Crossref | GoogleScholarGoogle Scholar | open url image1

Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ , et al. (2003) The Agricultural Production Systems Simulator (APSIM): its history and current capability. European Journal of Agronomy 18, 267–288.
Crossref | GoogleScholarGoogle Scholar | open url image1

Luquet D, Dingkuhn M, Kim HK, Tambour L, Clément-Vidal A (2006) EcoMeristem, a model of morphogenesis and competition among sinks in rice. 1. Concept, validation and sensitivity analysis. Functional Plant Biology 33, 309–323.
Crossref | GoogleScholarGoogle Scholar | open url image1

Luquet D, Song Y, Elbelt S, This D, Clément-Vidal A, Périn C, Fabre D, Dingkuhn M (2007) Model-assisted physiological analysis of phyllo, a rice architectural mutant. Functional Plant Biology 34, 11–23.
Crossref | GoogleScholarGoogle Scholar | open url image1

Lyon DJ, Hammer GL, McLean GB, Blumenthal M (2003) Simulation supplements field studies to determine no-till dryland corn population: recommendations for semi arid western Nebraska. Agronomy Journal 95, 884–891. open url image1

Maddonni GA, Otegui ME (1996) Leaf area, light interception, and crop development in maize. Field Crops Research 48, 81–87.
Crossref | GoogleScholarGoogle Scholar | open url image1

Madhiyazhagan R (2005) Modelling approach to assess the impact of high temperature and water stress on dry land maize. PhD thesis. The University of Queensland, Gatton Campus, Qld, Australia.

Manschadi AM, Christopher J, deVoil P, Hammer GL (2006) The role of root architectural traits in adaptation of wheat to water-limited environments. Functional Plant Biology 33, 823–837.
Crossref | GoogleScholarGoogle Scholar | open url image1

Moncur MW (1981) ‘Floral initiation in field crops. An atlas of scanning electron micrographs.’ (Division of Land Use Research, CSIRO: Canberra)

Morrison TA, Kessler JR, Buxton DR (1994) Maize internode elongation patterns. Crop Science 34, 1055–1060. open url image1

NeSmith DS, Ritchie JT (1992) Short- and long-term responses of corn to a pre-anthesis soil water deficit. Agronomy Journal 84, 107–113. open url image1

Pommel B, Sohbi Y, Andrieu B (2001) Use of virtual 3-D maize canopies to assess the effect of plot heterogeneity on radiation interception. Agricultural and Forest Meteorology 110, 55–67.
Crossref | GoogleScholarGoogle Scholar | open url image1

Reymond M, Muller B, Leonardi A, Charcosset A, Tardieu F (2003) Combining quantitative trait loci analysis and an ecophysiological model to analyse the genetic variability of the responses of leaf growth to temperature and water deficit. Plant Physiology 131, 664–675.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Robertson MJ (1994) Relationship between internode elongation, plant height and leaf appearance in maize. Field Crops Research 38, 135–145.
Crossref | GoogleScholarGoogle Scholar | open url image1

Schafer BM , Ritchie AM , Strachan DB (1986) Soils of the Queensland Agricultural College farm, Darbalara. Queensland Agricultural College, Technical Paper No. 7, Queensland Agricultural College, Lawes, Qld, Australia.

Stone PJ, Wilson DR, Jamieson PD, Gillespie RN (2001) Water deficit effects on sweet corn. II. Canopy development. Australian Journal of Agricultural Research 52, 115–126.
Crossref | GoogleScholarGoogle Scholar | open url image1

Tardieu F (2003) Virtual plants: modelling as a tool for the genomics of tolerance to water deficit. Trends in Plant Science 8, 9–14.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Tardieu F, Reymond M, Muller B, Simonneau T, Sadok W, Welcker C (2005) Linking physiological and genetic analyses of the control of leaf growth under fluctuating environmental conditions. Australian Journal of Agricultural Research 56, 937–946.
Crossref | GoogleScholarGoogle Scholar | open url image1

Yan H, Kang M, de Reffye P, Dingkuhn M (2004) A dynamic architectural plant model simulating resource-dependent growth. Annals of Botany 93, 591–602.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1