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 Experiment Videos

Crop evolution: from genetics to genomics.

John M Burke1, Jutta C Burger, Mark A Chapman

  • 1University of Georgia, Department of Plant Biology, Miller Plant Sciences Building, Athens, GA 30602, USA. jmburke@uga.edu

Current Opinion in Genetics & Development
|October 16, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Consolidation of Oncology Practices.

JCO oncology practice·2026
Same author

Tafasitamab plus lenalidomide and R-CHOP versus R-CHOP for first-line treatment of patients with high-risk diffuse large B-cell lymphoma (frontMIND): a global, phase 3, randomised, double-blind, placebo-controlled trial.

Lancet (London, England)·2026
Same author

Sunflower genetics and genomics: from fundamental evolutionary insights to crop improvement.

Trends in genetics : TIG·2026
Same author

Genome-wide variation in and between two closely related underutilised horsegram species (<i>Macrotyloma axillare</i> and <i>M. uniflorum</i>, Fabaceae).

AoB PLANTS·2026
Same author

Anti-PD-(L)1 Antibodies: Insights From QSP-Based Meta-Analysis.

CPT: pharmacometrics & systems pharmacology·2026
Same author

Real-world treatment patterns and characteristics of patients with diffuse large B-cell lymphoma (DLBCL): a retrospective analysis of US commercial and Medicare claims (2017-2024).

Leukemia & lymphoma·2026
Same journal

Temporal trajectories underlying adult neuronal diversity.

Current opinion in genetics & development·2026
Same journal

Transcription regulation of cell fate plasticity - from embryonic development to tissue regeneration.

Current opinion in genetics & development·2026
Same journal

Shared molecular and cellular programs during regeneration of glandular epithelia.

Current opinion in genetics & development·2026
Same journal

Lineage tracing in human cortical development.

Current opinion in genetics & development·2026
Same journal

Cis-regulatory strategies in developmental patterning.

Current opinion in genetics & development·2026
Same journal

GABAergic neuron fate specification and lineage allocation: from development to disorder.

Current opinion in genetics & development·2026
See all related articles

The genomics age provides vast DNA sequence data, enhancing crop evolution studies. Genome-wide analyses now identify crucial genes for crop improvement more effectively.

Area of Science:

  • Genomics
  • Crop Science
  • Evolutionary Biology

Background:

  • The genomics era has revolutionized the study of crop evolution.
  • While full genome sequencing is limited, DNA sequence data for most crops has significantly increased.
  • This data supports traditional genetic methods and enables new genome-wide analyses.

Purpose of the Study:

  • To leverage advancements in genomics and DNA sequencing data for a comprehensive understanding of crop evolution.
  • To explore how large-scale genetic analyses can provide unbiased insights into the genetic basis of crop evolution.
  • To identify agronomically important genes that might be missed by conventional methods.

Main Methods:

  • Utilizing the increasing availability of DNA sequence data across major crops.

Related Experiment Videos

  • Applying traditional genetic approaches like Quantitative Trait Loci (QTL) mapping and candidate gene-based association studies.
  • Conducting genome-wide analyses that consider a large, diverse set of genes simultaneously.

    • Main Results:

    • Enhanced capabilities in studying crop evolution due to the genomics age.
    • Increased power of both traditional and novel genetic analysis methods.
    • Potential for unbiased identification of key genes influencing crop traits.

    Conclusions:

    • The genomics revolution provides unprecedented resources for crop evolution research.
    • Genome-wide analyses offer a powerful, unbiased approach to understanding crop genetic underpinnings.
    • These advancements are crucial for discovering novel genes for crop improvement and agricultural productivity.