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QTL mapping of flag leaf-related traits in wheat (Triticum aestivum L.)

Overview of attention for article published in Theoretical and Applied Genetics, January 2018
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Title
QTL mapping of flag leaf-related traits in wheat (Triticum aestivum L.)
Published in
Theoretical and Applied Genetics, January 2018
DOI 10.1007/s00122-017-3040-z
Pubmed ID
Authors

Kaiye Liu, Hao Xu, Gang Liu, Panfeng Guan, Xueyao Zhou, Huiru Peng, Yingyin Yao, Zhongfu Ni, Qixin Sun, Jinkun Du

Abstract

QTL controlling flag leaf length, flag leaf width, flag leaf area and flag leaf angle were mapped in wheat. This study aimed to advance our understanding of the genetic mechanisms underlying morphological traits of the flag leaves of wheat (Triticum aestivum L.). A recombinant inbred line (RIL) population derived from ND3331 and the Tibetan semi-wild wheat Zang1817 was used to identify quantitative trait loci (QTLs) controlling flag leaf length (FLL), flag leaf width (FLW), flag leaf area (FLA), and flag leaf angle (FLANG). Using an available simple sequence repeat genetic linkage map, 23 putative QTLs for FLL, FLW, FLA, and FLANG were detected on chromosomes 1B, 2B, 3A, 3D, 4B, 5A, 6B, 7B, and 7D. Individual QTL explained 4.3-68.52% of the phenotypic variance in different environments. Four QTLs for FLL, two for FLW, four for FLA, and five for FLANG were detected in at least two environments. Positive alleles of 17 QTLs for flag leaf-related traits originated from ND3331 and 6 originated from Zang1817. QTLs with pleiotropic effects or multiple linked QTL were also identified on chromosomes 1B, 4B, and 5A; these are potential target regions for fine-mapping and marker-assisted selection in wheat breeding programs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Student > Doctoral Student 8 11%
Student > Master 7 10%
Researcher 6 9%
Student > Bachelor 4 6%
Other 8 11%
Unknown 23 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 49%
Biochemistry, Genetics and Molecular Biology 6 9%
Engineering 3 4%
Medicine and Dentistry 1 1%
Unspecified 1 1%
Other 0 0%
Unknown 25 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 April 2018.
All research outputs
#18,530,416
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#3,046
of 3,565 outputs
Outputs of similar age
#314,898
of 444,673 outputs
Outputs of similar age from Theoretical and Applied Genetics
#28
of 42 outputs
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So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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