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Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives

Overview of attention for article published in Frontiers in Plant Science, February 2018
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Title
Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives
Published in
Frontiers in Plant Science, February 2018
DOI 10.3389/fpls.2018.00074
Pubmed ID
Authors

Filipa Monteiro, Lothar Frese, Sílvia Castro, Maria C. Duarte, Octávio S. Paulo, João Loureiro, Maria M. Romeiras

Abstract

Sugar beet (Beta vulgarisL. ssp.vulgaris) is one of the most important European crops for both food and sugar production. Crop improvement has been developed to enhance productivity, sugar content or other breeder's desirable traits. The introgression of traits from Crop Wild Relatives (CWR) has been done essentially for lessening biotic stresses constraints, namely usingBetaandPatellifoliaspecies which exhibit disease resistance characteristics. Several studies have addressed crop-to-wild gene flow, yet, for breeding programs genetic variability associated with agronomically important traits remains unexplored regarding abiotic factors. To accomplish such association from phenotype-to-genotype, screening for wild relatives occurring in habitats where selective pressures are in play (i.e., populations in salt marshes for salinity tolerance; populations subjected to pathogen attacks and likely evolved resistance to pathogens) are the most appropriate streamline to identify causal genetic information. By selecting sugar beet CWR species based on genomic tools, rather than random variations, is a promising but still seldom explored route toward the development of improved crops. In this perspective, a viable streamline for sugar beet improvement is proposed through the use of different genomic tools by recurring to sugar beet CWRs and focusing on agronomic traits associated with abiotic stress tolerance. Overall, identification of genomic and epigenomic landscapes associated to adaptive ecotypes, along with the cytogenetic and habitat characterization of sugar beet CWR, will enable to identify potential hotspots for agrobiodiversity of sugar beet crop improvement toward abiotic stress tolerance.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Ph. D. Student 10 14%
Student > Master 7 10%
Professor 5 7%
Student > Bachelor 4 6%
Other 12 17%
Unknown 20 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 46%
Biochemistry, Genetics and Molecular Biology 9 13%
Environmental Science 3 4%
Unspecified 2 3%
Social Sciences 2 3%
Other 2 3%
Unknown 21 29%
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 06 September 2018.
All research outputs
#14,967,526
of 23,025,074 outputs
Outputs from Frontiers in Plant Science
#9,415
of 20,556 outputs
Outputs of similar age
#254,364
of 437,326 outputs
Outputs of similar age from Frontiers in Plant Science
#246
of 439 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,556 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% 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 437,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 439 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.