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Unraveling the Complex Trait of Crop Yield With Quantitative Trait Loci Mapping in Brassica napus

Open access
Shi, Jiaqin, Li, Ruiyuan, Qiu, Dan, Jiang, Congcong, Long, Yan, Morgan, Colin, Bancroft, Ian, Zhao, Jianyi, Meng, Jinling·2009·Genetics

Abstract

Yield is the most important and complex trait for the genetic improvement of crops. Although much research into the genetic basis of yield and yield-associated traits has been reported, in each such experiment the genetic architecture and determinants of yield have remained ambiguous. One of the most intractable problems is the interaction between genes and the environment. We identified 85 quantitative trait loci (QTL) for seed yield along with 785 QTL for eight yield-associated traits, from 10 natural environments and two related populations of rapeseed. A trait-by-trait meta-analysis revealed 401 consensus QTL, of which 82.5% were clustered and integrated into 111 pleiotropic unique QTL by meta-analysis, 47 of which were relevant for seed yield. The complexity of the genetic architecture of yield was demonstrated, illustrating the pleiotropy, synthesis, variability, and plasticity of yield QTL. The idea of estimating indicator QTL for yield QTL and identifying potential candidate genes for yield provides an advance in methodology for complex traits.

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Metadata

Authors
Shi, J., Li, R., Qiu, D., Jiang, C., Long, Y., Morgan, C., Bancroft, I., Zhao, J., & Meng, J.
Venue
Genetics
Published
2009-07-01
Volume
182
Issue
3
Pages
851-861
ISSN
  • 0016-6731 (ISSN-L)
  • 1943-2631
OpenAlex
W1993569926
Cited by
372
References
38
FWCI
10.34
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Unraveling the Complex Trait of Crop Yield With Quantitative Trait Loci Mapping in Brassica napus. https://app.cochat.ai/papers/10.1534/genetics.109.101642
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Shi, J., Li, R., Qiu, D., Jiang, C., Long, Y., Morgan, C., Bancroft, I., Zhao, J., & Meng, J. (2009). Unraveling the Complex Trait of Crop Yield With Quantitative Trait Loci Mapping in Brassica napus. Genetics. https://doi.org/10.1534/genetics.109.101642

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