Parameter Optimization and Field Validation of the Functional-Structural Model GREENLAB for Maize at Different Population Densities | Zendy

Yuntao Ma | Zendy; Wen Ma | Zendy; Yan Guo | Zendy; Bo Li | Zendy; Paul-Henry Cournède | Zendy; P. de Reffye | Zendy

Open Access

Parameter Optimization and Field Validation of the Functional-Structural Model GREENLAB for Maize at Different Population Densities

Author(s) -

Yuntao Ma,

Wen Ma,

Yan Guo,

Bo Li,

Paul-Henry Cournède,

P. de Reffye

Publication year - 2007

Publication title -

annals of botany

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.567

H-Index - 176

eISSN - 1095-8290

pISSN - 0305-7364

DOI - 10.1093/aob/mcm233

Subject(s) - biology , plant growth , population , plant density , field (mathematics) , biological system , agronomy , microbiology and biotechnology , mathematics , demography , sowing , sociology , pure mathematics

Plant population density (PPD) influences plant growth greatly. Functional-structural plant models such as GREENLAB can be used to simulate plant development and growth and PPD effects on plant functioning and architectural behaviour can be investigated. This study aims to evaluate the ability of GREENLAB to predict maize growth and development at different PPDs.

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