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QTL Mapping for RVA Profile Characteristics in a Recombinant Inbred Line Population Derived from High-Harvest-Index

Yunyi Zhan1,2, Zhanhua Lu2, Wei Liu2

  • 1Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.

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|March 28, 2026
PubMed
Summary
This summary is machine-generated.

This study identified 59 quantitative trait loci (QTLs) for rice eating quality traits using Rapid Visco Analyzer (RVA) profiles. Eleven significant QTLs were repeatedly detected, including one on chromosome 6 controlling eight RVA traits and containing the waxy gene.

Keywords:
QTLRVA profilerecombinant inbred linerice

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Area of Science:

  • * Agricultural Science
  • * Genetics
  • * Plant Breeding

Background:

  • * Rapid Visco Analyzer (RVA) profile characteristics are key indicators of rice (Oryza sativa L.) eating quality.
  • * Understanding the genetic basis of these traits is crucial for improving rice quality through breeding.

Purpose of the Study:

  • * To perform quantitative trait loci (QTL) scanning for RVA profile characteristics in rice.
  • * To identify genetic regions and candidate genes influencing rice eating quality.

Main Methods:

  • * Construction of a high-density genetic linkage map using Yuexianghzan (YXZ) and Shengbasimiao (SBSM) genetic backgrounds.
  • * QTL analysis of RVA profile data from recombinant inbred lines (RILs) across two environments using ridge regression.
  • * Gene annotation to identify potential candidate genes.

Main Results:

  • * Detected 59 QTLs for RVA profile characteristics across 11 chromosomes in two environments.
  • * Identified 11 repeatedly detected QTLs with large effects, including a major QTL on chromosome 6 controlling eight RVA traits and containing the waxy (Wx) gene.
  • * Mapped significant QTL intervals on chromosomes 5 and 8 influencing multiple RVA characteristics and identified nine candidate genes involved in starch synthesis.

Conclusions:

  • * The identified QTLs, particularly the major QTL on chromosome 6, provide valuable genetic resources for rice quality improvement.
  • * This study lays the groundwork for map-based cloning of rice RVA trait genes and facilitates molecular design breeding for enhanced eating quality.