Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

  1. Home
  3. Research Domains
  5. Agricultural, Veterinary And Food Sciences
  7. Agriculture, Land And Farm Management
  9. Agricultural Production Systems Simulation
  11. Development And Validation Of An Oil Palm Model For A Wide Range Of Planting Densities And Soil Textures In Malaysian Growing Conditions

Development and validation of an oil palm model for a wide range of planting densities and soil textures in Malaysian growing conditions

Christopher Boon Sung Teh1, See Siang Cheah2, Harikrishna Kulaveerasingam2

  • 1Faculty of Agriculture, Universiti Putra Malaysia, Malaysia.

Heliyon
|August 8, 2024

Related Experiment Videos

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K
A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
15:30

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

11.5K
A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs
04:41

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs

Published on: January 26, 2018

6.2K

View abstract on PubMed

Summary
This summary is machine-generated.

A new model, Sawit.jl, accurately simulates oil palm growth and yield across diverse Malaysian conditions. It predicts yield responses to climate variations, aiding sustainable plantation management.

Area of Science:

  • Agricultural Science
  • Crop Modeling
  • Environmental Science

Background:

  • Oil palm cultivation is vital to Malaysia's economy.
  • Accurate modeling is needed to optimize yield and manage resources effectively.
  • Existing models may not capture the complexity of oil palm growth under varied environmental conditions.

Purpose of the Study:

  • To develop and validate Sawit.jl, a semi-mechanistic model for oil palm growth and yield.
  • To simulate oil palm responses to diverse planting densities, soil textures, and climate variations.
  • To provide a tool for predicting oil palm yield and informing sustainable agricultural practices.

Main Methods:

  • Developed Sawit.jl, integrating meteorology, photosynthesis, energy balance, soil water, and crop growth components.
Keywords:
EvapotranspirationPhotosynthesisRespirationTenera

Related Experiment Videos

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K
A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
15:30

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

11.5K
A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs
04:41

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs

Published on: January 26, 2018

6.2K
  • Utilized the Shuttleworth-Wallace model for evaporation and Darcy's law for soil water content.
  • Parameterized the model with updated tenera oil palm data and validated it against field measurements from seven Malaysian sites.

    • Main Results:

    • Sawit.jl demonstrated good accuracy in simulating most oil palm parameters across varied sites (soil types, densities, textures, rainfall).
    • Model agreement metrics showed acceptable performance (absolute errors 6–27%, bias -22% to +17%, Kling-Gupta Efficiency 0.38–0.98).
    • The model successfully predicted yield responses to rainfall anomalies (El Niño, La Niña) and influenced factors like water deficits.

    Conclusions:

    • Sawit.jl is a robust tool for simulating oil palm growth and yield under Malaysian conditions.
    • The model can predict yield fluctuations due to climate and environmental factors.
    • Further improvements include refining microclimate representation, fruiting activity, and trunk dry matter partitioning for enhanced accuracy.
    Water deficit
    Water stress