Research output per year
Research output per year
Abstract
POTATO-ZONING detects and describes agro-ecosystems suitable for potato. It is of use
for the rapidly expanding potato processing industry and for potato research and
development projects. It answers questions such as: Where can potatoes be grown?
What is the expected length of the growing season? What yields are expected with and
without irrigation? What are the risks of drought and night frosts? What is the quality
(dry matter concentration and tuber size distribution) going to be? And what happens
to yields if potatoes are bred with increased tolerance of night frost or heat?
POTATO-ZONING is based on the crop growth model LINTUL (Light Interception and
Utilization of Light) that calculates dry matter production and yields based on data
on temperature, solar radiation and water availability. Using a global weather set
containing 30-year average weather in a 30 x 30 arc minutes pixel grid, POTATOZONING calculates potential and water limited yields for whole continents and allows
a quick scan of where irrigation may increase yields and whether potato producing
areas are near populated areas. Zooming in on regions and using a soil data set with
a 5 x 5 arc minutes pixel grid POTATO-ZONING calculates regional trends in quality
aspects and the benefits of increased tolerance of climatic hazards.
for the rapidly expanding potato processing industry and for potato research and
development projects. It answers questions such as: Where can potatoes be grown?
What is the expected length of the growing season? What yields are expected with and
without irrigation? What are the risks of drought and night frosts? What is the quality
(dry matter concentration and tuber size distribution) going to be? And what happens
to yields if potatoes are bred with increased tolerance of night frost or heat?
POTATO-ZONING is based on the crop growth model LINTUL (Light Interception and
Utilization of Light) that calculates dry matter production and yields based on data
on temperature, solar radiation and water availability. Using a global weather set
containing 30-year average weather in a 30 x 30 arc minutes pixel grid, POTATOZONING calculates potential and water limited yields for whole continents and allows
a quick scan of where irrigation may increase yields and whether potato producing
areas are near populated areas. Zooming in on regions and using a soil data set with
a 5 x 5 arc minutes pixel grid POTATO-ZONING calculates regional trends in quality
aspects and the benefits of increased tolerance of climatic hazards.
| Original language | English |
|---|---|
| Title of host publication | Decision support systems in potato production: bringing models to practice |
| Place of Publication | Wageningen |
| Publisher | Wageningen Academic Publishers |
| Chapter | 2 |
| Pages | 28-45 |
| ISBN (Print) | 9789076998305 |
| DOIs | |
| Publication status | Published - 2004 |
Access to Document
Fingerprint
Dive into the research topics of 'Potato-zoning: A decision support system on expanding the potato industry through agro-ecological zoning using the LINTUL simulation approach'. Together they form a unique fingerprint.Research output
- 1 Book
-
Decision support systems in potato production - bringing models to practice
MacKerron, D. K. L. & Haverkort, A. J., 2004, Wageningen: Wageningen Academic Publishers. 238 p.Research output: Book/Report › Book › Academic