Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Production Efficiency

Production Efficiency

Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).

You might also read

Related Articles

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

Sort by

Same author

Adaptive Algal Cultivation Enabled by a Monthly Biomass Forecasting System.

Biotechnology and bioengineering·2025

Same author

Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations.

Scientific data·2025

Same author

Simple and Effective Squash-PCR for Rapid Genotyping of Industrial Microalgae.

Life (Basel, Switzerland)·2024

Same author

Next-Generation Intensity-Duration-Frequency Curves for Diverse Land across the Continental United States.

Scientific data·2023

Same author

Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States.

Scientific data·2023

Same author

An ensemble data assimilation modeling system for operational outdoor microalgae growth forecasting.

Biotechnology and bioengineering·2022

Same journal

Microbial Hydrolysates as Amino Acid Source in Cell Culture Media for Cellular Agriculture.

Biotechnology and bioengineering·2026

Same journal

LLM-Guided Parameter Optimization for Mechanistic CHO Cell Bioreactor Models.

Biotechnology and bioengineering·2026

Same journal

Three-Dimensional-Printed Polylactic Acid Scaffolds Coated With a Paeonol-Incorporated Gelatin/Bioactive Glass Composite Layer for Enhanced Osteogenic Performance.

Biotechnology and bioengineering·2026

Same journal

Recent Progress in Antimicrobial Peptides (AMPs) Towards Enhanced Selectivity and Reduced Cytotoxicity by Molecular Engineering.

Biotechnology and bioengineering·2026

Same journal

mZVI-Enhanced Mixed Nitrogen Removal in Klebsiella oxytoca via Coordinated Electron Transfer and Metabolic Reprogramming.

Biotechnology and bioengineering·2026

Same journal

Growth Model for Continuous Culture of a Hydrogen-Oxidizing Bacterium, Hydrogenophilus thermoluteolus Strain TH-1.

Biotechnology and bioengineering·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 29, 2025

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Published on: August 14, 2020

Enhancing Biomass Productivity by Forecast-Informed Pond Operations.

Hongxiang Yan¹, Mark S Wigmosta^1,2, Ning Sun¹

¹Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.

Biotechnology and Bioengineering

|February 7, 2025

Summary

This summary is machine-generated.

Optimizing microalgal cultivation with a forecast-informed pond operation (FIPO) system significantly boosts biomass production. This approach uses weather forecasts to adjust daily dilution rates, enhancing yields for biofuels and proteins.

Keywords:

Chlorella sorokiniana Huesemann algae biomass growth model biomass assessment tool biomass forecasting forecast‐informed pond operations

More Related Videos

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Published on: December 19, 2019

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

Related Experiment Videos

Last Updated: May 29, 2025

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Published on: August 14, 2020

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Published on: December 19, 2019

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

Area of Science:

* Agricultural Science
* Biotechnology
* Renewable Energy

Background:

* Microalgal cultivation for biofuels and proteins faces economic challenges due to variable environmental conditions impacting biomass productivity.
* Current practices rely on fixed dilution rates based on operator experience, which are suboptimal for variable conditions.

Purpose of the Study:

* To introduce and validate a forecast-informed pond operation (FIPO) system for optimizing microalgal cultivation.
* To enhance biomass production by using numerical weather prediction (NWP) ensemble forecasts to determine optimal daily dilution rates.

Main Methods:

* Development of the FIPO system integrating numerical weather prediction (NWP) ensemble forecasts and the biomass assessment tool (BAT).
* Experimental validation of FIPO in short-term and long-term microalgal growth scenarios.
* Comparison of FIPO performance against batch growth and fixed dilution rate strategies.

Main Results:

* FIPO increased short-term biomass production by 21.3% over batch growth and 7.4% over fixed dilution rates.
* FIPO achieved biomass production comparable to using perfect weather forecasts, validating NWP accuracy for operations.
* Long-term experiments showed FIPO increased biomass production by 13.3% and 17.8% compared to different fixed dilution rates.

Conclusions:

* The FIPO system effectively optimizes microalgal cultivation by utilizing NWP forecasts to adjust daily dilution rates.
* This approach enhances biomass yields and mitigates risks associated with environmental variability in microalgal production.
* FIPO offers a viable strategy for improving the economic feasibility of commercial-scale microalgal cultivation.