Evidence map›Paper›PMID 37877090›Full record

ArticleFrontiers in plant science2023

Phenotypic and genome-wide association analyses for nitrogen use efficiency related traits in maize (

Darlene L Sanchez, Alice Silva Santana, Palloma Indiara Caproni Morais, Edicarlos Peterlini, Gerald De La Fuente, Michael J Castellano, Michael Blanco, Thomas Lübberstedt

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
  5. Review
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 at 3 institutions in 2 countries.

Darlene L SanchezDepartment of Agronomy, Iowa State University, Ames, IA, United States.
Alice Silva SantanaDepartment of Agronomy, Iowa State University, Ames, IA, United States.
Palloma Indiara Caproni MoraisDepartment of Agronomy, Iowa State University, Ames, IA, United States.
Edicarlos PeterliniDepartment of Agronomy, State University of Maringá, Maringá, PR, Brazil.
Gerald De La FuenteDepartment of Agronomy, Iowa State University, Ames, IA, United States.
Michael J CastellanoDepartment of Agronomy, Iowa State University, Ames, IA, United States.
Michael BlancoDepartment of Agronomy, Iowa State University, Ames, IA, United States.
Thomas LübberstedtDepartment of Agronomy, Iowa State University, Ames, IA, United States.
Iowa State University · USAgricultural Research Service · USUniversidade Estadual de Maringá · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen (N) limits crop production, yet more than half of N fertilizer inputs are lost to the environment. Developing maize hybrids with improved N use efficiency can help minimize N losses and in turn reduce adverse ecological, economical, and health consequences. This study aimed to identify single nucleotide polymorphisms (SNPs) associated with agronomic traits (plant height, grain yield, and anthesis to silking interval) under high and low N conditions. A genome-wide association study (GWAS) was conducted using 181 doubled haploid (DH) lines derived from crosses between landraces from the Germplasm Enhancement of Maize (BGEM lines) project and two inbreds, PHB47 and PHZ51. These DH lines were genotyped using 62,077 SNP markers. The same lines from the

Indexed as

abiotic stresscandidate genediversitygenetic resourcesquantitative trait locus

Identifiers

PMID37877090
PMCPMC10590880
OpenAlexW4387454718

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.