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

Moisture Content and Bulking of Aggregate01:10

Moisture Content and Bulking of Aggregate

The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
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.
Aggregate Cement Ratio01:21

Aggregate Cement Ratio

The Aggregate Cement ratio refers to the weight of aggregate divided by the weight of cement in a concrete mix. Altering this ratio has profound effects on the concrete's properties. This ratio plays a pivotal role in determining the strength, workability, and durability of concrete. When the Aggregate Cement ratio is higher, the mix is leaner, meaning it has less cement paste to lubricate the aggregate, potentially making the concrete less workable. Such mixes, known as lean, enhance the...

You might also read

Related Articles

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

Sort by
Same author

Research on Covert Communication in Satellite-Ground-Integrated Sensor Networks Based on FH-DL-MPWFRFT.

Sensors (Basel, Switzerland)·2026
Same author

The transcriptional regulator MOS1 attenuates salinity stress-induced seed germination inhibition via negative feedback regulation of ABA signaling in Arabidopsis.

Journal of experimental botany·2026
Same author

PTH-Independent CaSR Inhibition with the Oral Calcilytic Encaleret Improves Calcium Homeostasis in Post-Surgical Hypoparathyroidism: A Phase 2 Open-Label Proof-of-Concept Trial.

Research square·2026
Same author

OsFTL1 integrates circadian and photoperiodic signals to optimize flowering time for ecological adaptation in rice.

Plant communications·2026
Same author

A phase 2 trial of burosumab for treatment of fibroblast growth factor-23-mediated hypophosphatemia in children and adults with fibrous dysplasia.

Bone research·2026
Same author

Recent Advances in Conjugated Microporous Polymers for Photocatalysis: Mechanism, Synthesis and Applications.

Exploration (Beijing, China)·2026

Related Experiment Video

Updated: Jun 2, 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

Mapping QTLs for improving grain yield using the USDA rice mini-core collection.

Xiaobai Li1, Wengui Yan, Hesham Agrama

  • 1State Key Lab of Rice Biology, IAEA Collaborating Center, Zhejiang University, Hangzhou, China.

Planta
|April 12, 2011
PubMed
Summary
This summary is machine-generated.

Marker-assisted selection improves rice yield by identifying key genetic markers. This study found specific alleles in RM471 and RM7003 significantly enhance grain yield traits.

More Related Videos

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support
05:22

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Published on: January 25, 2022

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Related Experiment Videos

Last Updated: Jun 2, 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

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support
05:22

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Published on: January 25, 2022

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Area of Science:

  • Plant genetics and breeding
  • Agricultural science
  • Crop improvement

Background:

  • Grain yield is a complex and crucial trait for crop genetic improvement.
  • Marker-assisted selection (MAS) is a key strategy to enhance breeding efficiency.
  • The USDA rice mini-core collection provides a valuable resource for genetic studies.

Purpose of the Study:

  • To identify genetic markers associated with grain yield and correlated agronomic traits in rice.
  • To evaluate the effectiveness of different mapping approaches for complex traits.
  • To pinpoint specific alleles that positively impact yield for marker-assisted selection.

Main Methods:

  • Phenotyping 203 rice accessions for 14 agronomic traits, including grain yield.
  • Genotyping using 155 genome-wide molecular markers.
  • Association mapping using principal component analysis and kinship, analyzing linkage disequilibrium.
  • Allelic analysis of significant marker-trait associations.

Main Results:

  • Five traits (plant height, plant weight, tillers, panicle length, kernels/branch) were highly correlated with yield.
  • Thirty highly significant marker-trait associations were identified, with 8 markers associated with multiple traits.
  • Specific alleles (126 bp of RM471, 108 bp of RM7003) showed the greatest positive effect on yield traits.
  • Principal component analysis dimensions impacted mapping accuracy; kinship did not improve mapping in this panel.

Conclusions:

  • Identifying QTLs for multiple yield traits can dissect complex traits and improve MAS efficiency in rice.
  • Specific markers like RM471 and RM7003 hold potential for targeted breeding strategies.
  • This research provides valuable genetic insights for accelerating rice yield improvement.