Evidence map›Paper›PMID 40164966›Full record

ArticleThe plant genome2025

Genetic analysis of predicted vegetative biomass and biomass-related traits from digital phenotyping of strawberry.

Cheryl Dalid, Caiwang Zheng, Luis Osorio, Sujeet Verma, Amr Abd-Elrahman, Xu Wang, Vance M Whitaker

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Cheryl DalidHorticultural Sciences Department, IFAS Gulf Coast Research and Education Center, University of Florida, Wimauma, Florida, USA.ORCID https://orcid.org/0000-0001-6327-404X
Caiwang ZhengSchool of Forest Resources and Conservation Geomatics, IFAS Gulf Coast Research and Education Center, University of Florida, Plant City, Florida, USA.
Luis OsorioHorticultural Sciences Department, IFAS Gulf Coast Research and Education Center, University of Florida, Wimauma, Florida, USA.
Sujeet VermaFall Creek Farm and Nursery Inc., Lowell, Oregon, USA.
Amr Abd-ElrahmanSchool of Forest Resources and Conservation Geomatics, IFAS Gulf Coast Research and Education Center, University of Florida, Plant City, Florida, USA.
Xu WangAgricultural and Biological Engineering Department, IFAS Gulf Coast Research and Education Center, University of Florida, Wimauma, Florida, USA.
Vance M WhitakerHorticultural Sciences Department, IFAS Gulf Coast Research and Education Center, University of Florida, Wimauma, Florida, USA.ORCID https://orcid.org/0000-0002-2172-3019

Funding

Florida Agricultural Experiment StationFlorida Strawberry Research and Education Foundation
6 · The paper itself

Abstract

High-throughput digital phenotyping (DP) has been widely explored in plant breeding to assess large numbers of genotypes with minimal manual labor and reduced cost and time. DP platforms using high-resolution images captured by drones and tractor-based platforms have recently allowed the University of Florida strawberry (Fragaria × ananassa) breeding program to assess vegetative biomass at scale. Biomass has not previously been explored in a strawberry breeding context due to the labor required and the need to destroy the plant. This study aims to understand the genetic basis of predicted vegetative biomass and biomass-related traits and to chart a path for the combined use of DP and genomics in strawberry breeding. Aboveground dry vegetative biomass was estimated by adapting a previously published model using ground-truth data on a subset of breeding germplasm. High-resolution images were collected on clonally replicated trials at different time points during the fruiting season. There was moderate to high heritability (h

Indexed as

BiomassFragariaFruitGenotypePhenotypePlant Breeding

Identifiers

PMID40164966
PMCPMC11958871

What OpenQuestion holds

Textmetadata
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Registered trials

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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.