|Authors: ||J. Zhang, D.P. Bartholomew|
|Keywords: ||modeling, Ananas comosus|
Development of a pineapple [Ananas comosus (L.) Merr.] growth simulation model has the potential to serve as a guide for future pineapple research, a platform to guide experimental data collection, and an aid in management decision-making.
It also provides an opportunity to integrate and synthesize the results of past and present research.
The primary objective was to develop a pineapple growth simulation model, ALOHA-pineapple, using the CERES-maize model structure.
ALOHA-pineapple is a physiologically-based, process-oriented, crop model that is incremented on a daily time step.
It simulates crop responses to environmental factors and management practices.
The model was calibrated to field data from a plant population density (density) trial at Kunia, Hawaii, and validated using data from 11 plantings of pineapple grown in Hawaii.
The model accurately predicted fruit harvest date and biomass accumulation for most Hawaii conditions but under-predicted fruit yields for pineapple grown at high elevations.
More data from extreme environments are needed for further development of ALOHA-pineapple.
Download Adobe Acrobat Reader (free software to read PDF files)
URL www.actahort.org Hosted by KU Leuven