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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 04 04 2019
accepted: 30 08 2019
entrez: 26 9 2019
pubmed: 26 9 2019
medline: 11 3 2020
Statut: epublish

Résumé

Cranberry (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. In 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. Our 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.

Sections du résumé

BACKGROUND
Cranberry (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.
RESULTS
In 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.
CONCLUSIONS
Our 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.

Identifiants

pubmed: 31553750
doi: 10.1371/journal.pone.0222451
pii: PONE-D-19-09264
pmc: PMC6760784
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0222451

Déclaration de conflit d'intérêts

Edward Grygleski is employed by Valley Corporation. There are no patents, products in development or marketed products to declare. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.

Références

PeerJ. 2018 Aug 15;6:e5461
pubmed: 30128209
Plant Physiol. 1998 Jun;117(2):337-43
pubmed: 9625687
Fed Regist. 2016 May 27;81(103):33741-999
pubmed: 27236870
J Exp Bot. 2007;58(8):1915-25
pubmed: 17452757
J Agric Food Chem. 2002 Oct 9;50(21):5932-8
pubmed: 12358462
Plant Physiol. 2007 Jun;144(2):1012-28
pubmed: 17449643
Plant Physiol. 2006 May;141(1):15-25
pubmed: 16684933
Mol Genet Genomics. 2018 Dec;293(6):1379-1392
pubmed: 29967963
Plant Sci. 2017 Sep;262:91-102
pubmed: 28716425
Proc Natl Acad Sci U S A. 2010 Feb 9;107(6):2413-8
pubmed: 20133661
Plant Methods. 2015 Mar 04;11:14
pubmed: 25767559
Plant Physiol. 2012 Aug;159(4):1644-57
pubmed: 22685170
Theor Appl Genet. 2008 Mar;116(5):647-56
pubmed: 18185917

Auteurs

Luis Diaz-Garcia (L)

University of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.
Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Aguascalientes, México.

Lorraine Rodriguez-Bonilla (L)

University of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.

Matthew Phillips (M)

University of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.

Arnoldo Lopez-Hernandez (A)

University of Wisconsin-Madison, Department of Food Science, Madison, Wisconsin, United States of America.

Edward Grygleski (E)

Valley Corporation, Tomah, Wisconsin, United States of America.

Amaya Atucha (A)

University of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.

Juan Zalapa (J)

University of Wisconsin-Madison, Department of Horticulture, Madison, Wisconsin, United States of America.
USDA-ARS, Vegetable Crops Research Unit, University of Wisconsin, Madison, Wisconsin, United States of America.

Articles similaires

Perceptions of the neighbourhood food environment and food insecurity of families with children during the Covid-19 pandemic.

Irene Carolina Sousa Justiniano, Matheus Santos Cordeiro, Hillary Nascimento Coletro et al.
1.00
Humans COVID-19 Food Insecurity Cross-Sectional Studies Female
Fragaria Light Plant Leaves Osmosis Stress, Physiological
Animals Natural Killer T-Cells Mice Adipose Tissue Lipid Metabolism
Zea mays Triticum China Seasons Crops, Agricultural

Classifications MeSH