Evidence map›Paper›PMID 15678327›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2005

Identification of candidate markers associated with agronomic traits in rice using discriminant analysis.

N Zhang, Y Xu, M Akash, S McCouch, J H Oard

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 57 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

N ZhangDepartment of Agronomy and Environmental Management, LSU AgCenter, Louisiana State University, Baton Rouge, LA 70803, USA.
Y Xu
M Akash
S McCouch
J H Oard
Cornell University · USIowa State University · USLouisiana State University · USLouisiana State University Agricultural Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant genetic mapping strategies routinely utilize marker genotype frequencies obtained from progeny of controlled crosses to declare presence of a quantitative trait locus (QTL) on previously constructed linkage maps. We have evaluated the potential of discriminant analysis (DA), a multivariate statistical procedure, to detect candidate markers associated with agronomic traits among inbred lines of rice (Oryza sativa L.). A total of 218 lines originating from the US and Asia were planted in field plots near Alvin, Texas, in 1996 and 1997. Agronomic data were collected for 12 economically important traits, and DNA profiles of each inbred line were produced using 60 SSR and 114 RFLP markers. Model-based methods revealed population structure among the lines. Marker alleles associated with all traits were identified by DA at high levels of correct percent classification within subpopulations and across all lines. Associated marker alleles pointed to the same and different regions on the rice genetic map when compared to previous QTL mapping experiments. Results from this study suggest that candidate markers associated with agronomic traits can be readily detected among inbred lines of rice using DA combined with other methods described in this report.

Indexed as

Discriminant AnalysisGenetic MarkersAsiaChromosome MappingChromosomes, PlantCrops, AgriculturalCrosses, GeneticGenes, PlantOryzaQuantitative Trait LociUnited StatesGenetic Markers

Identifiers

PMID15678327
OpenAlexW2019208215

What OpenQuestion 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 OpenQuestion graph.