Evidence map›Paper›PMID 39446310›Full record

ArticleJournal of applied genetics2025

Experimental evaluation of effectiveness of genomic selection for resistance to northern corn leaf blight in maize.

H C Lohithaswa, D C Balasundara, M G Mallikarjuna, M S Sowmya, N Mallikarjuna, R S Kulkarni, Anand S Pandravada, Bhupendra S Bhatia

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Article in Journal of applied genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

8 authors.

H C LohithaswaDepartment of Genetics and Plant Breeding, University of Agricultural Sciences, GKVK, Bangalore, 560 065, Karnataka, India. lohithaswa.chandappa@gmail.com.ORCID http://orcid.org/0000-0002-6777-5965
D C BalasundaraDepartment of Genetics and Plant Breeding, University of Agricultural Sciences, GKVK, Bangalore, 560 065, Karnataka, India.
M G MallikarjunaDivision of Genetics, ICAR-Indian Agricultural Research Institute (ICAR, PUSA Campus, New Delhi, 110 012, India.
M S SowmyaDepartment of Genetics and Plant Breeding, University of Agricultural Sciences, GKVK, Bangalore, 560 065, Karnataka, India.
N MallikarjunaZonal Agriculture Research Station, V.C. Farm, Mandya, 571 405, India.
R S KulkarniDepartment of Genetics and Plant Breeding, University of Agricultural Sciences, GKVK, Bangalore, 560 065, Karnataka, India.
Anand S PandravadaCorteva Agriscience Pvt. Ltd, Kallinayakanahalli, 561 213, Gauribidanur, Chikkaballapur, Karnataka, India.
Bhupendra S BhatiaCorteva Agriscience Pvt. Ltd, Kallinayakanahalli, 561 213, Gauribidanur, Chikkaballapur, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Northern corn leaf blight (NLB) caused by Setosphaeria turcica (Luttrell) Leonard & Suggs is a severe foliar disease in maize. Resistance to NLB is complexly inherited and controlled by several quantitative trait loci (QTL) distributed across the genome. Phenotype and DNA marker-based selection for resistance to NLB is expected to be effective. Hence, an investigation was carried out to predict the genetic value of selection candidates for resistance to NLB and compare the accuracies of genomic prediction in two F

Indexed as

Disease ResistancePlant DiseasesSelection, GeneticZea maysAscomycotaChromosome MappingCrosses, GeneticGenetic LinkageGenetic MarkersGenome, PlantGenotypePhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait LociGenetic MarkersBreeding valuesGenomic selectionMaizeNorthern corn leaf blightQuantitative trait lociResistanceTraining population

Identifiers

PMID39446310

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.