Evidence map›Paper›PMID 26022255›Full record

ArticleJournal of experimental botany2015

Phenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mapping.

M C Rebolledo, M Dingkuhn, B Courtois, Y Gibon, A Clément-Vidal, D F Cruz, J Duitama, M Lorieux, D Luquet

Abstract read
In one paragraph

Article in Journal of experimental botany, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  6. Integration of Crop Growth Models and Genomic Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
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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.

M C RebolledoCIAT, Agrobiodiversity, AA 6713, Cali, Colombia m.c.rebolledo@cgiar.org.
M DingkuhnIRRI, CESD Division, DAPO Box 7777, Metro Manila, Philippines CIRAD, UMR AGAP, F-34398 Montpellier, France.
B CourtoisCIRAD, UMR AGAP, F-34398 Montpellier, France.
Y GibonINRA, Metabolome Platform of UMR 1332, Bordeaux, France.
A Clément-VidalCIRAD, UMR AGAP, F-34398 Montpellier, France.
D F CruzCIAT, Agrobiodiversity, AA 6713, Cali, Colombia.
J DuitamaCIAT, Agrobiodiversity, AA 6713, Cali, Colombia.
M LorieuxCIAT, Agrobiodiversity, AA 6713, Cali, Colombia IRD, DIADE Research Unit, Institut de Recherche pour le Développement, 34394 Montpellier Cedex 5, France.
D LuquetCIRAD, UMR AGAP, F-34398 Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early vigour of rice, defined as seedling capacity to accumulate shoot dry weight (SDW) rapidly, is a complex trait. It depends on a genotype propensity to assimilate, store, and/or use non-structural carbohydrates (NSC) for producing large and/or numerous leaves, involving physiological trade-offs in the expression of component traits and, possibly, physiological and genetic linkages. This study explores a plant-model-assisted phenotyping approach to dissect the genetic architecture of rice early vigour, applying the Genome Wide Association Study (GWAS) to morphological and NSC measurements, as well as fitted parameters for the functional-structural plant model, Ecomeristem. Leaf size, number, SDW, and source-leaf NSC concentration were measured on a panel of 123 japonica accessions. The data were used to estimate Ecomeristem genotypic parameters driving organ appearance rate, size, and carbon dynamics. GWAS was performed based on 12 221 single-nucleotide polymorphisms (SNP). Twenty-three associations were detected at P <1×10(-4) and 64 at P <5×10(-4). Associations for NSC and model parameters revealed new regions related to early vigour that had greater significance than morphological traits, providing additional information on the genetic control of early vigour. Plant model parameters were used to characterize physiological and genetic trade-offs among component traits. Twelve associations were related to loci for cloned genes, with nine related to organogenesis, plant height, cell size or cell number. The potential use of these associations as markers for breeding is discussed.

Indexed as

Carbohydrate MetabolismGenome-Wide Association StudyPhenotypeMeristemOryzaPlant BreedingPlant LeavesPolymorphism, Single NucleotideGenome wide association study (GWAS)genotyping by sequencingheuristic approachmodel-assisted phenotypingOryza sativa L.sugar metabolism.

Identifiers

PMID26022255
PMCPMC4585419

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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.