Abstract
The predictive ability of process-based maize models is predicated on accurate prediction of phenology in terms of maize hybrids (genetics), abiotic factors affecting maize development (environment), and genotype × environment interactions. This chapter describes the phenology routines of a new process-based maize model, AgMaize, being implemented in the Decision Support System for Agrotechnology Transfer (DSSAT). It evaluates the model using a large number of diverse datasets and compares the outcome of the evaluation to predictions by the existing maize phenology model in DSSAT: the CERES-Maize phenology model. The life cycle of maize in AgMaize is divided into three phases: the pre-flowering, the flowering, and the post-flowering or grain-filling period. Except for germination, rate of development during the pre-flowering phase is based on the relationship between rate of leaf appearance and temperature. Predictions of phase duration by CERES-Maize were similar to those by AgMaize when the models were calibrated by modifying genotype coefficients.
Original language | English (US) |
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Title of host publication | Agroclimatology |
Publisher | wiley |
Pages | 173-200 |
Number of pages | 28 |
ISBN (Electronic) | 9780891183587 |
ISBN (Print) | 9780891183570 |
DOIs | |
State | Published - Jan 1 2018 |
Keywords
- Environmental variation
- Genotype coefficients
ASJC Scopus subject areas
- Engineering(all)
- Agricultural and Biological Sciences(all)