Evidence map›Paper›PMID 31553750›Full record

ArticlePloS one2019

Comprehensive analysis of the internal structure and firmness in American cranberry (Vaccinium macrocarpon Ait.) fruit.

Luis Diaz-Garcia, Lorraine Rodriguez-Bonilla, Matthew Phillips, Arnoldo Lopez-Hernandez, Edward Grygleski, Amaya Atucha, Juan Zalapa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  4. Molecules (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Luis Diaz-GarciaUniversity of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.
Lorraine Rodriguez-BonillaUniversity of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.
Matthew PhillipsUniversity of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.
Arnoldo Lopez-HernandezUniversity of Wisconsin-Madison, Department of Food Science, Madison, Wisconsin, United States of America.
Edward GrygleskiValley Corporation, Tomah, Wisconsin, United States of America.
Amaya AtuchaUniversity of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.
Juan ZalapaUniversity of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.ORCID 0000-0001-8840-3565
University of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCranberry (Vaccinium macrocarpon L.) fruit quality traits encompass many properties. Although visual appearance and fruit nutritional constitution have usually been the most important attributes, cranberry textural properties such as firmness have recently gained importance in the industry. Fruit firmness has become a quality standard due to the recent demand increase for sweetened and dried cranberries (SDC), which are currently the most profitable cranberry product. Traditionally, this trait has been measured by the cranberry industry using compression tests; however, it is poorly understood how fruit firmness is influenced by other characteristics.

resultsIn this study, we developed a high-throughput computer-vision method to measure the internal structure of cranberry fruit, which may in turn influence cranberry fruit firmness. We measured the internal structure of 16 cranberry cultivars measured over a 40-day period, representing more than 3000 individual fruit evaluated for 10 different traits. The internal structure data paired with fruit firmness values at each evaluation period allowed us to explore the correlations between firmness and internal morphological characteristics.

conclusionsOur study highlights the potential use of internal structure and firmness data as a decision-making tool for cranberry processing, especially to determine optimal harvest times and ensure high quality fruit. In particular, this study introduces novel methods to define key parameters of cranberry fruit that have not been characterized in cranberry yet. This project will aid in the future evaluation of cranberry cultivars for in SDC production.

Indexed as

Crop ProductionFruitPhenotypePlant BreedingVaccinium macrocarpon

Identifiers

PMID31553750
PMCPMC6760784
OpenAlexW2976393050

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.