Evidence map›Paper›PMID 38107060›Full record

ArticleInternational journal of fruit science2022

The New Cranberry Wisconsin Research Station: Renovation Priorities of a 'Stevens' Cranberry Marsh Based on Visual Mapping, Genetic Testing, and Yield Data.

Daniel Matusinec, Andrew Maule, Eric Wiesman, Amaya Atucha, Mura Jyostna Devi, Juan Zalapa

Abstract read
In one paragraph

Article in International journal of fruit science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Daniel MatusinecDepartment of Horticulture, University of Wisconsin, 1575 Linden Drive, Madison, Wisconsin, 53706, USA.
Andrew MauleDepartment of Horticulture, University of Wisconsin, 1575 Linden Drive, Madison, Wisconsin, 53706, USA.
Eric WiesmanUSDA, Agricultural Research Service, Vegetable Crops Research Unit, 1575 Linden Drive, Madison, Wisconsin, 53706, USA.
Amaya AtuchaDepartment of Horticulture, University of Wisconsin, 1575 Linden Drive, Madison, Wisconsin, 53706, USA.
Mura Jyostna DeviDepartment of Horticulture, University of Wisconsin, 1575 Linden Drive, Madison, Wisconsin, 53706, USA.
Juan ZalapaDepartment of Horticulture, University of Wisconsin, 1575 Linden Drive, Madison, Wisconsin, 53706, USA.

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
Biotechnology Training ProgramT32GM135066 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SCOTT M. COYLE, BRIAN G FOX · 2020 to 2026
$7.0M
NIGMS NIH HHS T32 GM008349NIGMS NIH HHS T32 GM135066
6 · The paper itself

Abstract

Cultivar contamination is a common issue in commercial cranberry production. Unknown or unwanted cranberry genotypes are found in commercial cranberry beds that are intended to be a single uniform genotype. Identification of contamination and the impacts of contamination remain crucial issues to the cranberry industry to maintain long-term high productivity. To address this issue, tissue samples were taken from the former commercial beds of the new Wisconsin Cranberry Research Station (WCRS) for genetic fingerprinting analysis. The goals of this collection were to analyze the ten beds for genetic uniformity to determine if any should be maintained or replaced, and to assess the accuracy of visual perception of genetic contamination in the field. A total of 288 DNA samples were collected in the ten cranberry beds, and the 'Stevens' cultivar represented 180 samples, or 69% of the 261 samples expected to be 'Stevens'. Therefore, genotype contamination in the 'Stevens' beds was 31% overall. Overall, visual differentiation was accurate in distinguishing between genotypes and detecting large areas of contamination. A yield analysis was conducted along with the genotypic uniformity assessments, and a significant correlation was found between the 2017 yield of the beds and their level of genetic contamination. This study demonstrates the usefulness of genetic uniformity testing and mapping for cranberry bed management and renovation decision-making.

Indexed as

clonal purity, barren berrycranberry bed managementDNA fingerprintinggenetic uniformitymicrosatellitesSSRsWisconsin Cranberry Research Station

Identifiers

PMID38107060
PMCPMC10725787

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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.