Yield and nitrogen losses in oil palm plantations: main drivers and management trade-offs determined using simulation

Pardon, Lénaïc, Huth, Neil, Nelson, Paul, Banabas, Murom, Gabrielle, Benoît, and Bessou, Cécile (2017) Yield and nitrogen losses in oil palm plantations: main drivers and management trade-offs determined using simulation. Field Crops Research, 210. pp. 20-32.

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Abstract

Oil palm cultivation has environmental impacts, including those associated with nitrogen (N) losses. Improving management practices to optimise yield and N losses is critical. In order to identify the key management and site parameters driving yield and N losses, over a 25-year cycle, we undertook a Morris’s sensitivity analysis of the Agricultural Production Systems sIMulator oil palm model (APSIM-Oil palm), using 3 sites in Papua New Guinea. We selected 12 parameters and 3 outputs: yield, nitrous oxide (N2O) emissions and N leaching. The influence of the 12 parameters on the outputs depended on site characteristics, age of the palms, and climate. The most influential parameters for losses were N mineral fertiliser rate, drainage and fraction of legume in groundcover vegetation. The simulations suggested that APSIM-Oil palm is a useful tool for assessing management options for optimising yield and environmental outcomes in different environments. The results can also guide future measurements needed to improve N loss estimates, and further development of models and risk indicators.

Item ID: 49165
Item Type: Article (Research - C1)
ISSN: 1872-6852
Keywords: APSIM-Oil palm, Morris sensitivity analysis, perennial crop, environmental impact, nutrient use efficiency
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A version of this publication was included as Chapter 3 of the following PhD thesis: Pardon, Lénaïc (2017) Modelling of the nitrogen budget of oil palm plantations to help reduce losses to the environment. Case study in Sumatra, Indonesia. PhD thesis, James Cook University, which is available Open Access in ResearchOnline@JCU. Please see the Related URLs for access.

Funders: French National Research Agency (ANR)
Projects and Grants: ANR-11AGRO-00007
Date Deposited: 19 Jun 2017 00:23
FoR Codes: 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300205 Agricultural production systems simulation @ 40%
30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300202 Agricultural land management @ 30%
41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management @ 30%
SEO Codes: 82 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 8203 Industrial Crops > 820399 Industrial Crops not elsewhere classified @ 50%
96 ENVIRONMENT > 9609 Land and Water Management > 960904 Farmland, Arable Cropland and Permanent Cropland Land Management @ 50%
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