Evidence map›Paper›PMID 37299735›Full record

ArticleSensors (Basel, Switzerland)2023

Remotely Sensed Phenotypic Traits for Heritability Estimates and Grain Yield Prediction of Barley Using Multispectral Imaging from UAVs.

Dessislava Ganeva, Eugenia Roumenina, Petar Dimitrov, Alexander Gikov, Georgi Jelev, Boryana Dyulgenova, Darina Valcheva, Violeta Bozhanova

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Dessislava GanevaSpace Research and Technology Institute, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.ORCID 0000-0001-9265-9539
Eugenia RoumeninaSpace Research and Technology Institute, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.
Petar DimitrovSpace Research and Technology Institute, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.ORCID 0000-0002-4821-8231
Alexander GikovSpace Research and Technology Institute, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.
Georgi JelevSpace Research and Technology Institute, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.
Boryana DyulgenovaInstitute of Agriculture, Agriculture Academy, 8400 Karnobat, Bulgaria.ORCID 0000-0002-1543-2709
Darina ValchevaInstitute of Agriculture, Agriculture Academy, 8400 Karnobat, Bulgaria.
Violeta BozhanovaField Crops Institute, Agricultural Academy, 6200 Chirpan, Bulgaria.

Funding

Bulgarian Ministry of Education and Science through the National Research Programme "Smart crop production" approved by Decision of the Ministry Council №866/26.11.2020 г
6 · The paper itself

Abstract

This study tested the potential of parametric and nonparametric regression modeling utilizing multispectral data from two different unoccupied aerial vehicles (UAVs) as a tool for the prediction of and indirect selection of grain yield (GY) in barley breeding experiments. The coefficient of determination (

Indexed as

HordeumEdible GrainGenotypePhenotypePlant Breedingbarleygrain yield predictionheritabilitymultispectral imagesphenotypic traitsUAV

Identifiers

PMID37299735
PMCPMC10255650

What OpenQuestion holds

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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.