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Staying Alive or Going to Die During Terminal Senescence—An Enigma Surrounding Yield Stability

Overview of attention for article published in Frontiers in Plant Science, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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3 Facebook pages

Citations

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65 Dimensions

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112 Mendeley
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Title
Staying Alive or Going to Die During Terminal Senescence—An Enigma Surrounding Yield Stability
Published in
Frontiers in Plant Science, November 2015
DOI 10.3389/fpls.2015.01070
Pubmed ID
Authors

Krishna S. V. Jagadish, Polavarapu B. Kavi Kishor, Rajeev N. Bahuguna, Nicolaus von Wirén, Nese Sreenivasulu

Abstract

Breeding programs with the aim to enhance yield productivity under abiotic stress conditions during the reproductive stage of crops is a top priority in the era of climate change. However, the choice of exploring stay-green or senescence phenotypes, which represent an opposing physiological bearing, are explored in cereal breeding programs for enhanced yield stability to a different extent. Thus, the consideration of stay-green or senescence phenotypes is still an ongoing debate and has not been comprehensively addressed. In this review, we provide arguments for designing a target phenotype to mitigate abiotic stresses during pre- and post-anthesis in cereals with a focus on hormonal balances regulating stay-green phenotype versus remobilization. The two major hypothesis for grain yield improvement are (i) the importance of the stay-green trait to elevate grain number under pre-anthesis and anthesis stress and (ii) fine tuning the regulatory and molecular physiological mechanisms to accelerate nutrient remobilization to optimize grain quality and seed weight under post-anthesis stress. We highlight why a cautious balance in the phenotype design is essential. While stay-green phenotypes promise to be ideal for developing stress-tolerant lines during pre-anthesis and fertilization to enhance grain number and yield per se, fine-tuning efficient remobilizing behavior during seed filling might optimize grain weight, grain quality and nutrient efficiency. The proposed model provides novel and focused directions for cereal stress breeding programs to ensure better seed-set and efficient grain-filling in cereals under terminal drought and heat stress exposure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Philippines 1 <1%
Slovenia 1 <1%
Unknown 108 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 29%
Student > Ph. D. Student 22 20%
Student > Master 13 12%
Student > Doctoral Student 12 11%
Student > Bachelor 9 8%
Other 11 10%
Unknown 13 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 72%
Biochemistry, Genetics and Molecular Biology 5 4%
Environmental Science 2 2%
Business, Management and Accounting 2 2%
Engineering 2 2%
Other 5 4%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 December 2015.
All research outputs
#7,469,234
of 22,834,308 outputs
Outputs from Frontiers in Plant Science
#4,818
of 20,146 outputs
Outputs of similar age
#120,205
of 387,537 outputs
Outputs of similar age from Frontiers in Plant Science
#70
of 416 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,146 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 75% 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 387,537 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 416 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.