Evidence map›Paper›PMID 40931853›Full record

ArticleThe plant genome2025

Crop growth model-enabled genetic mapping of biomass accumulation dynamics in photoperiod-sensitive sorghum.

Juan S Panelo, Fernando E Miguez, Patrick S Schnable, Maria G Salas-Fernandez

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 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

4 authors.

Juan S PaneloDepartment of Agronomy, Iowa State University, Ames, Iowa, USA.ORCID https://orcid.org/0000-0002-0075-0157
Fernando E MiguezDepartment of Agronomy, Iowa State University, Ames, Iowa, USA.
Patrick S SchnableDepartment of Agronomy, Iowa State University, Ames, Iowa, USA.ORCID https://orcid.org/0000-0001-9169-5204
Maria G Salas-FernandezDepartment of Agronomy, Iowa State University, Ames, Iowa, USA.ORCID https://orcid.org/0000-0001-6653-3385

Funding

Plant Sciences Institute, the Predictive Plant Phenomics Small Research Grant, and the R.F. Baker Center for Plant Breeding at Iowa State UniversityUSDA National Institute of Food and Agriculture #IOW05730USDA National Institute of Food and Agriculture Project #IOW05768
6 · The paper itself

Abstract

Crop growth rate is a critical physiological trait for forage and bioenergy crops like sorghum [Sorghum bicolor (L.) Moench], influencing overall crop productivity, particularly in photoperiod-sensitive (PS) types. Crop growth rate studies focus on either a physiological approach utilizing a few genotypes to analyze biomass accumulation or a genetic approach characterizing easily scorable proxy traits in larger populations. Thus, the genetic control of crop growth rate in terms of biomass accumulation is poorly understood in PS sorghum. In this study, we monitored biomass accumulation in a diverse panel comprising 269 PS sorghum accessions in two growing seasons. We performed sequential samplings at 11 timepoints, separating leaves from stems. For the total biomass and each fraction, we applied the beta growth function to determine the maximum crop growth rate (c

Indexed as

Crops, AgriculturalPhotoperiodSorghumBiomassChromosome MappingGenome-Wide Association StudyGenotypePlant LeavesPlant StemsQuantitative Trait Loci

Identifiers

PMID40931853
PMCPMC12424023

What Socratic holds

Textmetadata
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 Socratic graph.