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Models for Predicting the Architecture of Different Shoot Types in Apple

Overview of attention for article published in Frontiers in Plant Science, February 2017
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Models for Predicting the Architecture of Different Shoot Types in Apple
Published in
Frontiers in Plant Science, February 2017
DOI 10.3389/fpls.2017.00065
Pubmed ID
Authors

Emna Baïram, Mickaël Delaire, Christian Le Morvan, Gerhard Buck-Sorlin

Abstract

In apple, the first-order branch of a tree has a characteristic architecture constituting three shoot types: bourses (rosettes), bourse shoots, and vegetative shoots. Its overall architecture as well as that of each shoot thus determines the distribution of sources (leaves) and sinks (fruits) and could have an influence on the amount of sugar allocated to fruits. Knowledge of architecture, in particular the position and area of leaves helps to quantify source strength. In order to reconstruct this initial architecture, rules equipped with allometric relations could be used: these allow predicting model parameters that are difficult to measure from simple traits that can be determined easily, non-destructively and directly in the orchard. Once such allometric relations are established they can be used routinely to recreate initial structures. Models based on allometric relations have been established in this study in order to predict the leaf areas of the three different shoot types of three apple cultivars with different branch architectures: "Fuji," "Ariane," and "Rome Beauty." The allometric relations derived from experimental data allowed us to model the total shoot leaf area as well as the individual leaf area for each leaf rank, for each shoot type and each genotype. This was achieved using two easily measurable input variables: total leaf number per shoot and the length of the biggest leaf on the shoot. The models were tested using a different data set, and they were able to accurately predict leaf area of all shoot types and genotypes. Additional focus on internode lengths on spurs contributed to refine the models.

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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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Student > Ph. D. Student 7 30%
Student > Postgraduate 2 9%
Student > Doctoral Student 1 4%
Unspecified 1 4%
Other 2 9%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 61%
Unspecified 1 4%
Business, Management and Accounting 1 4%
Mathematics 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 4 17%
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 March 2017.
All research outputs
#14,264,932
of 22,950,943 outputs
Outputs from Frontiers in Plant Science
#7,987
of 20,373 outputs
Outputs of similar age
#227,964
of 420,361 outputs
Outputs of similar age from Frontiers in Plant Science
#209
of 508 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,373 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 59% 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 420,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 508 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 56% of its contemporaries.