Evidence map›Paper›PMID 34415997›Full record

ArticleDatabase : the journal of biological databases and curation2021

The Breeding Information Management System (BIMS): an online resource for crop breeding.

Sook Jung, Taein Lee, Ksenija Gasic, B Todd Campbell, Jing Yu, Jodi Humann, Sushan Ru, Daniel Edge-Garza, Heidi Hough, Dorrie Main

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Building resource-efficient community databases using open-source software.Database : the journal of biological databases and curation · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. CarrotOmics: a genetics and comparative genomics database for carrot (Daucus carota).Database : the journal of biological databases and curation · 2022
    Article
  11. Article
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

10 authors.

Sook JungDepartment of Horticulture, Washington State University, 45 Johnson Hall, Pullman, WA 99164, USA.ORCID 0000-0003-3968-2769
Taein LeeDepartment of Horticulture, Washington State University, 45 Johnson Hall, Pullman, WA 99164, USA.
Ksenija GasicPlant and Environmental Sciences Department, 171 Poole Agricultural Center, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0003-4391-5262
B Todd CampbellCoastal Plains Soil, Water, and Plant Research Center, USDA-ARS, 2611 West Lucas St., Florence, SC 29501-1242, USA.
Jing YuDepartment of Horticulture, Washington State University, 45 Johnson Hall, Pullman, WA 99164, USA.
Jodi HumannDepartment of Horticulture, Washington State University, 45 Johnson Hall, Pullman, WA 99164, USA.
Sushan RuDepartment of Horticulture, University of Auburn, 287 CASIC Building/120 Funchess, Auburn, AL 36849, USA.
Daniel Edge-GarzaCentre for Horticultural Science, The University of Queensland, Brisbane St Lucia, Brisbane, QLD 4072, Australia.
Heidi HoughDepartment of Horticulture, Washington State University, 45 Johnson Hall, Pullman, WA 99164, USA.
Dorrie MainDepartment of Horticulture, Washington State University, 45 Johnson Hall, Pullman, WA 99164, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this era of big data, breeding programs are producing ever larger amounts of data. This necessitates access to efficient management systems to keep track of cross, performance, pedigree, geographical and image-based data, as well as genotyping data. In this article, we report the progress on the Breeding Information Management System (BIMS), a free, secure and online breeding management system that allows breeders to store, manage, archive and analyze their private breeding data. BIMS is the first publicly available database system that enables individual breeders to integrate their private phenotypic and genotypic data with public data and, at the same time, have complete control of their own breeding data along with access to tools such as data import/export, data analysis and data archiving. The integration of breeding data with publicly available genomic and genetic data enhances genetic understanding of important traits and maximizes the marker-assisted breeding utility for breeders and allied scientists. BIMS incorporates the use of the Android App Field Book, open-source phenotype data collection software for phones and tablets that allows breeders to replace hard copy field books, thus alleviating the possibility of transcription errors while providing faster access to the collected data. BIMS comes with training materials and support for individual or small group training and is currently implemented in the Genome Database for Rosaceae, CottonGEN, the Citrus Genome Database, the Pulse Crop Database, and the Genome Database for Vaccinium. Database URLs: (https://www.rosaceae.org/), (https://www.cottongen.org/), (https://www.citrusgenomedb.org/), (https://www.pulsedb.org/) and (https://www.vaccinium.org/).

Indexed as

Databases, GeneticPlant BreedingGenomicsInformation ManagementSoftware

Identifiers

PMID34415997
PMCPMC8378516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.