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Fruit Phenolic Profiling: A New Selection Criterion in Olive Breeding Programs

Overview of attention for article published in Frontiers in Plant Science, February 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Fruit Phenolic Profiling: A New Selection Criterion in Olive Breeding Programs
Published in
Frontiers in Plant Science, February 2018
DOI 10.3389/fpls.2018.00241
Pubmed ID
Authors

Ana G. Pérez, Lorenzo León, Carlos Sanz, Raúl de la Rosa

Abstract

Olive growing is mainly based on traditional varieties selected by the growers across the centuries. The few attempts so far reported to obtain new varieties by systematic breeding have been mainly focused on improving the olive adaptation to different growing systems, the productivity and the oil content. However, the improvement of oil quality has rarely been considered as selection criterion and only in the latter stages of the breeding programs. Due to their health promoting and organoleptic properties, phenolic compounds are one of the most important quality markers for Virgin olive oil (VOO) although they are not commonly used as quality traits in olive breeding programs. This is mainly due to the difficulties for evaluating oil phenolic composition in large number of samples and the limited knowledge on the genetic and environmental factors that may influence phenolic composition. In the present work, we propose a high throughput methodology to include the phenolic composition as a selection criterion in olive breeding programs. For that purpose, the phenolic profile has been determined in fruits and oils of several breeding selections and two varieties ("Picual" and "Arbequina") used as control. The effect of three different environments, typical for olive growing in Andalusia, Southern Spain, was also evaluated. A high genetic effect was observed on both fruit and oil phenolic profile. In particular, the breeding selection UCI2-68 showed an optimum phenolic profile, which sums up to a good agronomic performance previously reported. A high correlation was found between fruit and oil total phenolic content as well as some individual phenols from the two different matrices. The environmental effect on phenolic compounds was also significant in both fruit and oil, although the low genotype × environment interaction allowed similar ranking of genotypes on the different environments. In summary, the high genotypic variance and the simplified procedure of the proposed methodology for fruit phenol evaluation seems to be convenient for breeding programs aiming at obtaining new cultivars with improved phenolic profile.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 8 16%
Student > Master 7 14%
Student > Postgraduate 3 6%
Student > Doctoral Student 2 4%
Other 2 4%
Unknown 18 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 37%
Chemistry 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Psychology 1 2%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 21 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 April 2018.
All research outputs
#7,232,146
of 23,025,074 outputs
Outputs from Frontiers in Plant Science
#4,387
of 20,556 outputs
Outputs of similar age
#126,346
of 330,058 outputs
Outputs of similar age from Frontiers in Plant Science
#133
of 472 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 20,556 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 78% 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 330,058 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 61% of its contemporaries.
We're also able to compare this research output to 472 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.