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The Effect of Grain Position on Genetic Improvement of Grain Number and Thousand Grain Weight in Winter Wheat in North China

Overview of attention for article published in Frontiers in Plant Science, February 2018
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Title
The Effect of Grain Position on Genetic Improvement of Grain Number and Thousand Grain Weight in Winter Wheat in North China
Published in
Frontiers in Plant Science, February 2018
DOI 10.3389/fpls.2018.00129
Pubmed ID
Authors

Fan Feng, Yunliang Han, Shengnan Wang, Shaojing Yin, Zhenyu Peng, Min Zhou, Wenqi Gao, Xiaoxia Wen, Xiaoliang Qin, Kadambot H. M. Siddique

Abstract

Genetic improvements have significantly contributed to wheat production. Five wheat cultivars-widely grown in north China in the 1950s, 1990s, or 2010s-were grown in field experiments conducted in the 2014-2015 and 2015-2016 growing seasons. This study evaluated the genetic progress in wheat grain yield and its related traits in north China and explored how breeding and selection have influenced grain numbers and weights within spikelets in the past 60 years. The results showed that the significant increases in grain yield in the past 60 years were mainly due to increases in grain number per spike and grain weight, while spike number per m2has not changed significantly. Improvements in thousand grain weight (TGW) from the 1950s to 2010s have occurred at four grain positions (G1 to G4). The relative contribution of G4 to TGW increased over time, but was much less than the contributions of G1, G2, and G3. Indeed, the average grain weight at G4 was much less than that of 1000 grains. The increase in grain number per spike since the 1950s was mainly due to an increase in grain number at G1, G2 and G3, with the relative contribution of grain position to grain number being G1 > G2 > G3 > G4. Dwarfing genes increased grain number per spike and grain number at G3 and G4, but not TGW. In future, yields could be boosted by enhancing grain weight at G4 and grain number at G3 and G4, while maintaining those at G1 and G2.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Doctoral Student 6 19%
Researcher 4 13%
Professor 2 6%
Student > Bachelor 2 6%
Other 2 6%
Unknown 9 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 50%
Biochemistry, Genetics and Molecular Biology 3 9%
Sports and Recreations 1 3%
Social Sciences 1 3%
Engineering 1 3%
Other 0 0%
Unknown 10 31%
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 14 March 2018.
All research outputs
#20,462,806
of 23,020,670 outputs
Outputs from Frontiers in Plant Science
#16,427
of 20,541 outputs
Outputs of similar age
#375,887
of 437,836 outputs
Outputs of similar age from Frontiers in Plant Science
#385
of 439 outputs
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