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The use of metabolomic quantitative trait locus mapping and osmotic adjustment traits for the improvement of crop yields under environmental stresses

Overview of attention for article published in Seminars in Cell & Developmental Biology, June 2017
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Article details
Title
The use of metabolomic quantitative trait locus mapping and osmotic adjustment traits for the improvement of crop yields under environmental stresses
Published in
Seminars in Cell & Developmental Biology, June 2017
DOI 10.1016/j.semcdb.2017.06.020
Pubmed ID
Authors
Abstract

The sustainable production of food to feed an increasing world population is a major challenge for plant scientists, especially due to the unpredictable and dynamic nature of global climatic conditions. Heat waves, drought, increased soil salinity, unseasonal cold and flooding are all becoming more common climate-related causes of stress for crop plants, and are already affecting yields and the geographical distributions of optimal growing regions for many crops. Therefore, the development and application of multi-faceted strategies, including sustainable agricultural practices and the development and cultivation of intraspecific hybrids containing genetic traits associated with abiotic stress tolerance from wild relatives, will either alone or together be essential to sustainably grow high-yielding crops under increasingly stressful environmental conditions. The development of abiotic stress-resilient crops requires an in-depth knowledge of plant development and of the biological processes that enable plants to survive in stressful environments, and this knowledge can be obtained from "omic" studies, such as bioinformatics, genomics, transcriptomics, proteomics and metabolomics. The plant metabolome can provide a snapshot of the physiological and biochemical status of a plant cell under normal or stressful conditions, and thus it is closely related to the plant phenotypes. Analysis of the metabolomes of plants growing under stressful conditions can be used to identify stress resistance-associated metabolites, or biomarkers, which can then be used by plant breeders as selective markers to help identify the phenotypes, resulted from the complex interactions between genotype and environment, associated with stress-tolerant crop plants. Osmotic adjustment is an important metabolic adaptation mechanism which helps plants survive abiotic stress and can support higher crop yield under stressful environmental conditions. This review highlights the recent advances in our understanding of the functions of abiotic stress-responsive metabolites, with an emphasis on the use of metabolomic quantitative trait locus mapping and osmotic adjustment agronomic traits, for the improvement of crop yields under environmental stresses.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 17%
Student > Master 22 15%
Researcher 18 12%
Student > Bachelor 11 7%
Other 9 6%
Other 17 11%
Unknown 48 32%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 46 31%
Biochemistry, Genetics and Molecular Biology 14 9%
Chemistry 7 5%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Medicine and Dentistry 4 3%
Other 13 9%
Unknown 61 41%
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 03 July 2017.
All research outputs
#18,889,654
of 27,391,359 outputs
Outputs from Seminars in Cell & Developmental Biology
#1,508
of 2,053 outputs
Outputs of similar age
#217,835
of 335,859 outputs
Outputs of similar age from Seminars in Cell & Developmental Biology
#46
of 73 outputs
Altmetric has tracked 27,391,359 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,053 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 335,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.