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

Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
Bioreactor Controls-III01:22

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Inclusive Fitness00:57

Inclusive Fitness

Most altruistic behavior—in which one animal helps another at a cost to themselves—occurs between relatives. Scientists think these altruistic behaviors evolved because they increase the inclusive fitness of the animal providing help.
Energy Budgets and Reproductive Strategies00:51

Energy Budgets and Reproductive Strategies

Organisms must balance energy intake with the energy required for growth, maintenance, and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species reproduce only once in their lifetime, often investing most available resources into that single reproductive event. Iteroparous species, by contrast, reproduce multiple times over their lifetimes, typically allocating fewer resources to any single...

You might also read

Related Articles

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

Sort by
Same author

Ensemble-based genomic prediction for maize flowering time improves prediction accuracy and reveals novel insights into trait genetic variation.

G3 (Bethesda, Md.)·2026
Same author

Biology-driven genebank pangenetics meet AI-powered predictions to transform crop breeding.

Molecular plant·2026
Same author

Root system growth and function respond to soil temperature in maize (Zea mays L.).

Plant physiology·2026
Same author

Back to the future 2: the implications of germplasm structure on the balance between short- and long-term genetic gain in a changing target population of environments.

G3 (Bethesda, Md.)·2026
Same author

Exploring standing genetic variation for barley leaf rust resistance in Australian breeding panel.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same author

Corrigendum to "Targeting local glucocorticoid metabolism with a silk fibroin microneedle for more effective hypertrophic scar repair" [Int. J. Biol. Macromol., 2025 Aug, 391(Pt4):145753].

International journal of biological macromolecules·2026

Related Experiment Video

Updated: Jun 28, 2026

Breeding by Design for Functional Rice with Genome Editing Technologies
09:43

Breeding by Design for Functional Rice with Genome Editing Technologies

Published on: January 3, 2025

Better breeding leveraging more biology.

Owen M Powell1, Lee Hickey1, Shunichiro Tomura1

  • 1Queensland Alliance for Agriculture and Food Innovation, Centre for Crop Science, University of Queensland, St Lucia, Queensland, Australia; ARC Centre of Excellence for Plant Success in Nature and Agriculture, University of Queensland, St Lucia, Queensland, Australia; ARC Training Centre in Predictive Breeding for Agricultural Futures, University of Queensland, St Lucia, Queensland, Australia.

Trends in Plant Science
|June 26, 2026
PubMed
Summary

Climate variability hinders crop performance prediction and genetic gain. New genome-phenome frameworks integrating plant science knowledge can improve breeding decisions for future environments.

Keywords:
biological networksgenetic gaingenotype × environment × management interactionsgenotype–phenotype modellingpredictive breeding

More Related Videos

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing
08:39

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing

Published on: September 1, 2017

Using Whole Mount in situ Hybridization to Link Molecular and Organismal Biology
12:50

Using Whole Mount in situ Hybridization to Link Molecular and Organismal Biology

Published on: March 31, 2011

Related Experiment Videos

Last Updated: Jun 28, 2026

Breeding by Design for Functional Rice with Genome Editing Technologies
09:43

Breeding by Design for Functional Rice with Genome Editing Technologies

Published on: January 3, 2025

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing
08:39

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing

Published on: September 1, 2017

Using Whole Mount in situ Hybridization to Link Molecular and Organismal Biology
12:50

Using Whole Mount in situ Hybridization to Link Molecular and Organismal Biology

Published on: March 31, 2011

Area of Science:

  • Plant Science
  • Genetics
  • Agricultural Science

Background:

  • Climate change introduces variability, impacting crop performance prediction accuracy.
  • Current breeding programs face challenges in achieving sustained genetic gain due to unpredictable environmental factors.
  • Accurate prediction of crop performance across diverse environments is crucial for agricultural advancement.

Purpose of the Study:

  • To present hierarchical genome-phenome frameworks for improved crop performance prediction.
  • To demonstrate how integrating biological knowledge enhances predictive models for breeding.
  • To support long-term genetic gain in plant breeding under changing environmental conditions.

Main Methods:

  • Developing hierarchical genome-phenome frameworks.
  • Integrating mechanistic plant science insights into predictive models.
  • Evaluating framework performance across diverse genetics and management conditions.

Main Results:

  • Emerging frameworks show potential to improve accuracy and precision in predicting crop performance.
  • Biological knowledge integration enhances the interpretability of breeding decisions.
  • The proposed frameworks can guide breeding programs toward sustained genetic gain.

Conclusions:

  • Hierarchical genome-phenome frameworks offer a promising approach to address climate-driven variability in crop breeding.
  • Integrating mechanistic plant science knowledge is key to developing robust predictive models.
  • These advancements are essential for ensuring future food security and agricultural sustainability.