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

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the atmosphere, the...
C4 Pathway and CAM01:27

C4 Pathway and CAM

Most plants use the C3 pathway for carbon fixation. However, some plants, such as sugar cane, corn, and cacti that grow in hot conditions, use alternative pathways to fix carbon and conserve energy loss due to photorespiration. Photorespiration is the process that occurs when the oxygen concentration is high. Under such conditions, the rubisco enzyme in the Calvin cycle binds O2 instead of CO2, which halts photosynthesis and consumes energy.
C4 Pathway
The C4 pathway is used by plants such as...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Observation-Constrained Agroecosystem Model Inversion Reveals Continental-Scale Variation of Winter Wheat Traits.

Global change biology·2026
Same author

Identification of Genetic Variation Associated With Heat Tolerance in Cowpea (Vigna unguiculata L. Walp.).

Molecular ecology·2026
Same author

Modeling the forage-animal interface for estimating the daily gain of stocker cattle grazing bermudagrass.

Journal of animal science·2026
Same author

Climate-crop models to support opportunity crop adaptation in Africa.

Nature communications·2025
Same author

Positive impact of hydroponics and artificial light on yield and quality of wheat.

Scientific reports·2025
Same author

A multi model ensemble reveals net climate benefits from regenerative practices in US Midwest croplands.

Scientific reports·2025

Related Experiment Video

Updated: May 12, 2026

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

Putting mechanisms into crop production models.

Kenneth J Boote1, James W Jones, Jeffrey W White

  • 1Agronomy Department, University of Florida, Gainesville, FL 32611, USA. kjboote@ufl.edu

Plant, Cell & Environment
|April 23, 2013
PubMed
Summary

Crop growth models simulate plant development and yield by integrating genetics, environment, and management. Further improvements are needed for predicting responses to climate change and soil conditions.

Keywords:
carbon dioxidecrop developmentcrop modeling; genotype by environmentleaf area growthphotosynthesisprocess-based modelsreproductivetemperaturetranspiration

Related Experiment Videos

Last Updated: May 12, 2026

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

Area of Science:

  • Agricultural Science
  • Plant Physiology
  • Computational Biology

Background:

  • Crop growth models simulate carbon, nitrogen, and water balance at daily/hourly steps.
  • These models integrate genetics, environment, and management for predicting crop growth and yield.
  • Applications range from understanding gene function to assessing climate change impacts.

Purpose of the Study:

  • Review the history and current state of crop growth models.
  • Discuss mechanistic details of assimilation and respiration processes.
  • Identify areas for future model improvement.

Main Methods:

  • Review of historical crop modeling literature.
  • Analysis of mechanistic detail in assimilation and respiration simulation.
  • Identification of key processes requiring enhanced simulation.

Main Results:

  • Crop models have advanced significantly over 30-40 years.
  • Key areas for improvement include transpiration response to elevated CO₂, temperature effects on phenology/fertility, root growth, and nutrient uptake.
  • Mechanistic links to genetics, soil fertility, waterlogging, and pests need enhancement.

Conclusions:

  • Crop models are valuable tools for understanding genotype-by-environment-by-management interactions.
  • Further mechanistic improvements are crucial for accurate predictions.
  • Models can bridge genomics research with field-scale crop responses.