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Divergent Hd1, Ghd7, and DTH7 Alleles Control Heading Date and Yield Potential of Japonica Rice in Northeast China

Overview of attention for article published in Frontiers in Plant Science, January 2018
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Title
Divergent Hd1, Ghd7, and DTH7 Alleles Control Heading Date and Yield Potential of Japonica Rice in Northeast China
Published in
Frontiers in Plant Science, January 2018
DOI 10.3389/fpls.2018.00035
Pubmed ID
Authors

Jing Ye, Xiaojun Niu, Yaolong Yang, Shan Wang, Qun Xu, Xiaoping Yuan, Hanyong Yu, Yiping Wang, Shu Wang, Yue Feng, Xinghua Wei

Abstract

The heading date is a vital factor in achieving a full rice yield. Cultivars with particular flowering behaviors have been artificially selected to survive in the long-day and low-temperature conditions of Northeast China. To dissect the genetic mechanism responsible for heading date in rice populations from Northeast China, association mapping was performed to identify major controlling loci. A genome-wide association study (GWAS) identified three genetic loci, Hd1, Ghd7, and DTH7, using general and mixed linear models. The three genes were sequenced to analyze natural variations and identify their functions. Loss-of-function alleles of these genes contributed to early rice heading dates in the northern regions of Northeast China, while functional alleles promoted late rice heading dates in the southern regions of Northeast China. Selecting environmentally appropriate allele combinations in new varieties is recommended during breeding. Introducing the early indica rice's genetic background into Northeast japonica rice is a reasonable strategy for improving genetic diversity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Doctoral Student 3 9%
Student > Ph. D. Student 2 6%
Student > Bachelor 1 3%
Student > Master 1 3%
Other 3 9%
Unknown 15 47%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 34%
Biochemistry, Genetics and Molecular Biology 5 16%
Computer Science 1 3%
Unknown 15 47%
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 25 February 2018.
All research outputs
#14,376,243
of 23,023,224 outputs
Outputs from Frontiers in Plant Science
#8,272
of 20,547 outputs
Outputs of similar age
#240,327
of 440,582 outputs
Outputs of similar age from Frontiers in Plant Science
#228
of 446 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,547 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 55% 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 440,582 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 446 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.