MANIHOT-Cassava
Patricia Moreno; Myles Fisher; James Cock; Julián Ramirez-Villegas; Daniel Amariles (CIAT, IITA)
Overview
| Model category | FSPM, CSM |
|---|---|
| Plant part | Whole_plant |
| Scale | Organs, Whole_plant, Field |
| Licence | upon_request |
| Operating system | MacOs, Windows, Linux |
| Programming language | Fortran |
| Format of model inputs and outputs | Text files |
| Species studied | Cassava |
| Execution environment | Console, Stand-alone application |
| Modelling environment | DSSAT |
Scientific article
Importance of genetic parameters and uncertainty of MANIHOT, a new mechanistic model of cassavaMoreno-Cadena,L.P. G. Hoogenboom,M.J. Fisher,J. Ramirez-Villegas,S.D. Prager,L. A. Becerra Lopez-Lavalle,P. Pypers,M.S. Mejia de Tafur,D. Wallach,R. Muñoz-Carpena,S. Asseng.Manuscript submitted for publication., 2019 View paper
Model description
MANIHOT represents the indeterminate growth and development of cassava, which, unlike many crops, does not have critical phenological phases, nor distinct physiological maturity. Crop development is driven by accumulated thermal time with different cardinal temperatures for the process of branching, and for potential size, age, and growth of leaves. MANIHOT uses node as the basic growth unit, which includes the leaf and internode section of stem. The potential crop growth is estimated by summing potential stem and leaf growth plus 10% to account for the growth of fibrous roots. MANIHOT uses a spill-over strategy where the daily assimilation is first allocated to satisfy the requirements for growth of above ground biomass and fibrous roots with only the remainder allocated to the growth of storage roots.
Some case studies
The model will be used as part of the decision support tool under development by the African Cassava Agronomy Initiative project (ACAI) lead by IITA (International Institute for Tropical Agriculture) and funded by the Bill and Melinda Gates Foundation.