Designing new management sequences for pineapple production using the SIMPIÑA model

Designing new management sequences for pineapple production using the SIMPIÑA model The pineapple Victoria (‘Queen’) is grown on Reunion Island under a large range of weather conditions where the elevation ranges from 50 to 900m a.s.l. and annual temperatures ranges from 19°C to 25°C in both humid and dry areas, resulting in variable fruit size, fruit quality, selling prices of products and N leaching. Our objective was to use a crop model to improve pineapple management practices according to the diversity of conditions on Reunion Island. Farm surveys resulted in the definition of eleven criteria describing the diversity of pineapple practices to characterize pineapple farm-type: ridges, tillage, planting density, level of N fertilization and number of N application, harvest date, irrigation, farm diversification, elevation, weather and location. Three types were then identified: 1) pineapples with sugarcane the main crop located at low elevation; 2) pineapples only located at high elevation; 3) diversified farms including pineapples located at low elevation. The SIMPIÑA model was used to identify a set of best practices for each farm-type, based on fruit quality (TSS/TA), agronomic (yield), economic (income at selling), and environmental criteria (N leaching). Producing large fruits seems to be the condition to increase agronomic and economic criteria, regarless pineapple farm-type because prices of products is higher for large fruit on local market. As a result, promising management sequences selected with the model underestimated the importance of selling small fruits at local market. Overall, a decrease of level of N fertilization could reduce N leaching without reducing yield and fruit quality. This study demonstrates that multi-criteria crop simulation models used with an optimization approach provide a framework suitable for designing new management strategies of pineapple production, while taking the type of pineapple farms into account. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultural Systems Elsevier

Designing new management sequences for pineapple production using the SIMPIÑA model

Loading next page...
 
/lp/elsevier/designing-new-management-sequences-for-pineapple-production-using-the-3nHhcRSecF
Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0308-521x
D.O.I.
10.1016/j.agsy.2017.10.006
Publisher site
See Article on Publisher Site

Abstract

The pineapple Victoria (‘Queen’) is grown on Reunion Island under a large range of weather conditions where the elevation ranges from 50 to 900m a.s.l. and annual temperatures ranges from 19°C to 25°C in both humid and dry areas, resulting in variable fruit size, fruit quality, selling prices of products and N leaching. Our objective was to use a crop model to improve pineapple management practices according to the diversity of conditions on Reunion Island. Farm surveys resulted in the definition of eleven criteria describing the diversity of pineapple practices to characterize pineapple farm-type: ridges, tillage, planting density, level of N fertilization and number of N application, harvest date, irrigation, farm diversification, elevation, weather and location. Three types were then identified: 1) pineapples with sugarcane the main crop located at low elevation; 2) pineapples only located at high elevation; 3) diversified farms including pineapples located at low elevation. The SIMPIÑA model was used to identify a set of best practices for each farm-type, based on fruit quality (TSS/TA), agronomic (yield), economic (income at selling), and environmental criteria (N leaching). Producing large fruits seems to be the condition to increase agronomic and economic criteria, regarless pineapple farm-type because prices of products is higher for large fruit on local market. As a result, promising management sequences selected with the model underestimated the importance of selling small fruits at local market. Overall, a decrease of level of N fertilization could reduce N leaching without reducing yield and fruit quality. This study demonstrates that multi-criteria crop simulation models used with an optimization approach provide a framework suitable for designing new management strategies of pineapple production, while taking the type of pineapple farms into account.

Journal

Agricultural SystemsElsevier

Published: Jan 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off