Evidence map›Paper›PMID 28701815›Full record

ArticleAgricultural systems2017

Next generation crop models: A modular approach to model early vegetative and reproductive development of the common bean (

C Hwang, M J Correll, S A Gezan, L Zhang, M S Bhakta, C E Vallejos, K J Boote, J A Clavijo-Michelangeli, J W Jones

Abstract read
In one paragraph

Article in Agricultural systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  2. Article
  3. Integration of Crop Growth Models and Genomic Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Article
  5. Article
  6. Article
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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

9 authors.

C HwangAgricultural & Biological Engineering Dept., University of Florida, FL, USA.
M J CorrellAgricultural & Biological Engineering Dept., University of Florida, FL, USA.
S A GezanSchool of Forest Resources & Conservation, University of Florida, FL, USA.
L ZhangAgricultural & Biological Engineering Dept., University of Florida, FL, USA.
M S BhaktaHorticultural Sciences Dept., University of Florida, FL, USA.
C E VallejosHorticultural Sciences Dept., University of Florida, FL, USA.
K J BooteAgricultural & Biological Engineering Dept., University of Florida, FL, USA.
J A Clavijo-MichelangeliAgronomy Dept., University of Florida, FL, USA.
J W JonesAgricultural & Biological Engineering Dept., University of Florida, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The next generation of gene-based crop models offers the potential of predicting crop vegetative and reproductive development based on genotype and weather data as inputs. Here, we illustrate an approach for developing a dynamic modular gene-based model to simulate changes in main stem node numbers, time to first anthesis, and final node number on the main stem of common bean (

Indexed as

Dynamic QTL effect modelG by E effectsGene-based crop modelModularNode addition rateTime to first anthesis

Identifiers

PMID28701815
PMCPMC5485674

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.