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Hierarchical additive effects on heterosis in rice (Oryza sativa L.)

Overview of attention for article published in Frontiers in Plant Science, September 2015
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Title
Hierarchical additive effects on heterosis in rice (Oryza sativa L.)
Published in
Frontiers in Plant Science, September 2015
DOI 10.3389/fpls.2015.00738
Pubmed ID
Authors

Zhiwu Dan, Jun Hu, Wei Zhou, Guoxin Yao, Renshan Zhu, Wenchao Huang, Yingguo Zhu

Abstract

Exploitation of heterosis in crops has contributed greatly to improvement in global food and energy production. In spite of the pervasive importance of heterosis, a complete understanding of its mechanisms has remained elusive. In this study, a small test-crossed rice population was constructed to investigate the formation mechanism of heterosis for 13 traits. The results of the relative mid-parent heterosis and modes of inheritance of all investigated traits demonstrated that additive effects were the foundation of heterosis for complex traits in a hierarchical structure, and multiplicative interactions among the component traits were the framework of heterosis in complex traits. Furthermore, new balances between unit traits and related component traits provided hybrids with the opportunity to achieve an optimal degree of heterosis for complex traits. This study dissected heterosis of both reproductive and vegetative traits from the perspective of hierarchical structure for the first time. Additive multiplicative interactions of component traits were proven to be the origin of heterosis in complex traits. Meanwhile, more attention should be paid to component traits, rather than complex traits, in the process of revealing the mechanism of heterosis.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 44%
Researcher 2 7%
Student > Doctoral Student 1 4%
Student > Master 1 4%
Professor 1 4%
Other 2 7%
Unknown 8 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 63%
Biochemistry, Genetics and Molecular Biology 3 11%
Unknown 7 26%
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 11 September 2015.
All research outputs
#20,291,881
of 22,828,180 outputs
Outputs from Frontiers in Plant Science
#16,028
of 20,133 outputs
Outputs of similar age
#224,820
of 267,781 outputs
Outputs of similar age from Frontiers in Plant Science
#234
of 327 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,133 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 327 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.