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Identification of a major quantitative trait locus underlying salt tolerance in ‘Jidou 12’ soybean cultivar

Overview of attention for article published in BMC Research Notes, February 2018
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Title
Identification of a major quantitative trait locus underlying salt tolerance in ‘Jidou 12’ soybean cultivar
Published in
BMC Research Notes, February 2018
DOI 10.1186/s13104-018-3202-3
Pubmed ID
Authors

XiaoLei Shi, Long Yan, ChunYan Yang, WeiWen Yan, David Octor Moseley, Tao Wang, BingQiang Liu, Rui Di, PengYin Chen, MengChen Zhang

Abstract

Identification of the quantitative trait locus (QTL) underlying salt tolerance is a prerequisite for marker-assisted selection in the salt-tolerant breeding process. In this study, the recombinant inbred lines derived from the salt-tolerant elite soybean cultivar 'Jidou 12' and the salt-sensitive elite cultivar 'Ji NF 58' were used to identify the QTL associated with salt tolerance, using both salt tolerance rating (STR) and leaf chlorophyll content (SPAD) as indicators. A major salt-tolerant QTL, which was flanked by SSR markers GMABAB and Barcsoyssr_03_1421 on chromosome 3, was identified based on single-marker regression, single trait composite interval mapping, and multiple interval mapping analysis. For STR, the LOD ranged from 19.8 to 20.1; R2 ranged from 44.3 to 44.7%; and the additive effect ranged from 0.876 to 0.885 among the three mapping methods. For SPAD, the LOD ranged from 10.6 to 11.0; R2 ranged from 27.0 to 27.6%; and the additive effect ranged from 1.634 to 1.679 among the three mapping methods. In this study, a major QTL conditioning salt tolerance on chromosome 3 was identified. The DNA markers closely associated with the QTLs might be useful in marker-assisted selection for soybean salt tolerance improvement in Huanghuaihai, China.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Student > Doctoral Student 3 19%
Student > Master 2 13%
Student > Ph. D. Student 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 63%
Unspecified 1 6%
Nursing and Health Professions 1 6%
Earth and Planetary Sciences 1 6%
Unknown 3 19%
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 07 February 2018.
All research outputs
#18,585,544
of 23,020,670 outputs
Outputs from BMC Research Notes
#3,036
of 4,283 outputs
Outputs of similar age
#327,807
of 437,337 outputs
Outputs of similar age from BMC Research Notes
#76
of 119 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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