Evidence map›Paper›PMID 29967963›Full record

ArticleMolecular genetics and genomics : MGG2018

Massive phenotyping of multiple cranberry populations reveals novel QTLs for fruit anthocyanin content and other important chemical traits.

Luis Diaz-Garcia, Brandon Schlautman, Giovanny Covarrubias-Pazaran, Andrew Maule, Jennifer Johnson-Cicalese, Edward Grygleski, Nicholi Vorsa, Juan Zalapa

Open access · greenAbstract read
In one paragraph

Article in Molecular genetics and genomics : MGG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

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  14. Molecules (Basel, Switzerland) · 2023
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  19. Exploring genetic architecture for pod-related traits in soybean using image-based phenotyping.Molecular breeding : new strategies in plant improvement · 2021
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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

8 authors at 5 institutions in 2 countries.

Luis Diaz-GarciaDepartment of Horticulture, University of Wisconsin, Madison, WI, USA. diaz.antonio@inifap.gob.mx.
Brandon SchlautmanThe Land Institute, Salina, KS, USA.
Giovanny Covarrubias-PazaranBayer CropScience NV, Innovation Center, Ghent, Belgium.
Andrew MauleDepartment of Horticulture, University of Wisconsin, Madison, WI, USA.
Jennifer Johnson-CicaleseBlueberry and Cranberry Research and Extension Center, Rutgers University, Chatsworth, NJ, USA.
Edward GrygleskiValley Corporation, Tomah, WI, USA.
Nicholi VorsaBlueberry and Cranberry Research and Extension Center, Rutgers University, Chatsworth, NJ, USA.
Juan ZalapaDepartment of Horticulture, University of Wisconsin, Madison, WI, USA. jezalapa@wisc.edu.
University of Wisconsin–Madison · USBayer (Belgium) · BENewberry College · USRutgers, The State University of New Jersey · USThe Land Institute · US

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
NIGMS NIH HHS T32 GM008349
6 · The paper itself

Abstract

Because of its known phytochemical activity and benefits for human health, American cranberry (Vaccinium macrocarpon L.) production and commercialization around the world has gained importance in recent years. Flavonoid compounds as well as the balance of sugars and acids are key quality characteristics of fresh and processed cranberry products. In this study, we identified novel QTL that influence total anthocyanin content (TAcy), titratable acidity (TA), proanthocyanidin content (PAC), Brix, and mean fruit weight (MFW) in cranberry fruits. Using repeated measurements over the fruit ripening period, different QTLs were identified at specific time points that coincide with known chemical changes during fruit development and maturation. Some genetic regions appear to be regulating more than one trait. In addition, we demonstrate the utility of digital imaging as a reliable, inexpensive and high-throughput strategy for the quantification of anthocyanin content in cranberry fruits. Using this imaging approach, we identified a set of QTLs across three different breeding populations which collocated with anthocyanin QTL identified using wet-lab approaches. We demonstrate the use of a high-throughput, reliable and highly accessible imaging strategy for predicting anthocyanin content based on cranberry fruit color, which could have a large impact for both industry and cranberry research.

Indexed as

Quantitative Trait LociAnthocyaninsChromosome MappingFlavonoidsFruitGenetic Association StudiesHigh-Throughput Screening AssaysPhenotypeVaccinium macrocarponAnthocyaninsFlavonoidsAnthocyaninCranberryFruit phytochemicalsHigh-throughput phenotypingImaginingQTL mapping

Identifiers

PMID29967963
PMCPMC6358209
OpenAlexW2810188485

What OpenQuestion holds

Textmetadata
LicenceTDM
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.