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Genetic Dissection and Simultaneous Improvement of Drought and Low Nitrogen Tolerances by Designed QTL Pyramiding in Rice

Overview of attention for article published in Frontiers in Plant Science, March 2018
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Title
Genetic Dissection and Simultaneous Improvement of Drought and Low Nitrogen Tolerances by Designed QTL Pyramiding in Rice
Published in
Frontiers in Plant Science, March 2018
DOI 10.3389/fpls.2018.00306
Pubmed ID
Authors

Bo Feng, Kai Chen, Yanru Cui, Zhichao Wu, Tianqing Zheng, Yajun Zhu, Jauhar Ali, Bingbing Wang, Jianlong Xu, Wenzhong Zhang, Zhikang Li

Abstract

Drought and low nitrogen are the most common abiotic stresses limiting rice productivity in the rainfed rice areas of Asia and Africa. Development and adoption of green super rice (GSR) varieties with greatly improved drought tolerance (DT) and low nitrogen tolerance (LNT) are the most efficient way to resolve this problem. In this study, using three sets of trait-specific introgression lines (ILs) in aXian (indica)variety Huanghuazhan (HHZ) background, we identified nine DT-QTL and seven LNT-QTL by a segregation distortion approach and a genome-wide association study, respectively. Based on performances of DT and LNT and genotypes at the detected QTL, two ILs M79 and M387 with DT and LNT were selected for cross-making to validate the identified QTL and to develop DT and LNT rice lines by pyramiding two DT-QTL (qDT3.9andqDT6.3)and two LNT-QTL(qGY1andqSF8). Using four pairs of kompetitive allele specific PCR (KASP) SNP markers, we selected 66 F2individuals with different combinations of the target DT- and LNT-QTL favorable alleles and they showed expected improvement in DT and/or LNT, which were further validated by the significant improvement in DT and/or LNT of their F3progeny testing. Based on evaluation of pyramiding lines in F3lines under drought, low nitrogen (LN) and normal conditions, four promising pyramiding lines having different QTL favorable alleles were selected, which showed significantly improved tolerances to drought and/or LN than HHZ and their IL parents. Our results demonstrated that trait-specific ILs could effectively connect QTL mapping and QTL pyramiding breeding, and designed QTL pyramiding (DQP) using ILs could be more effective in molecular rice breeding for complex quantitative traits.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Ph. D. Student 11 26%
Student > Master 4 10%
Professor 2 5%
Other 1 2%
Other 3 7%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 45%
Environmental Science 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Business, Management and Accounting 1 2%
Arts and Humanities 1 2%
Other 0 0%
Unknown 15 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 April 2018.
All research outputs
#14,098,338
of 23,031,582 outputs
Outputs from Frontiers in Plant Science
#7,390
of 20,570 outputs
Outputs of similar age
#182,298
of 332,340 outputs
Outputs of similar age from Frontiers in Plant Science
#220
of 474 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,570 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,340 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 474 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.