Evidence map›Paper›PMID 40484903›Full record

ArticleJournal of applied genetics2026

Identification of subtropical breeding lines for ideal plant architecture in maize through multiple selection indices.

Govinda Rai Sarma, Rajkumar U Zunjare, Vignesh Muthusamy, Ravindra K Kasana, Ikkurti Gopinath, Bhavna Singh, Godawari S Pawar, Neha Sharma, Hriipulou Duo, Rashmi Chhabra and 4 more

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Article in Journal of applied genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Govinda Rai SarmaICAR-Indian Agricultural Research Institute, New Delhi, India.
Rajkumar U ZunjareICAR-Indian Agricultural Research Institute, New Delhi, India.
Vignesh MuthusamyICAR-Indian Agricultural Research Institute, New Delhi, India.
Ravindra K KasanaICAR-Indian Agricultural Research Institute, New Delhi, India.
Ikkurti GopinathICAR-Indian Agricultural Research Institute, New Delhi, India.
Bhavna SinghICAR-Indian Agricultural Research Institute, New Delhi, India.
Godawari S PawarVasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani, Maharashtra, India.
Neha SharmaHill Agriculture Research and Extension Centre, CSK-Himachal Pradesh Krishi Vishvavidyalaya, Bajaura, Himachal Pradesh, India.
Hriipulou DuoICAR-Indian Agricultural Research Institute, New Delhi, India.
Rashmi ChhabraICAR-Indian Agricultural Research Institute, New Delhi, India.
Rakesh K DevlashHill Agriculture Research and Extension Centre, CSK-Himachal Pradesh Krishi Vishvavidyalaya, Bajaura, Himachal Pradesh, India.
Satish K GuleriaHill Agriculture Research and Extension Centre, CSK-Himachal Pradesh Krishi Vishvavidyalaya, Bajaura, Himachal Pradesh, India.
Viswanathan ChinnusamyICAR-Indian Agricultural Research Institute, New Delhi, India.
Firoz HossainICAR-Indian Agricultural Research Institute, New Delhi, India. fh_gpb@yahoo.com.ORCID http://orcid.org/0000-0001-6662-7752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High plant density assumes significance for higher yield per unit area. However, reports on breeding for ideal plant architecture (IPA) in maize are limited due to lack of comprehensive characterization of germplasm. Here, we assessed genetic variation and identified inbreds for 14 plant architectural traits among 48 subtropical maize inbreds through multi-location analysis. Wide genetic variation for (i) stalk-related traits, viz., plant height (100.5-209.8 cm), ear height (26.4-106.3 cm), internode number (3.8-10.9), and internode length (8.1-15 cm); (ii) leaf-related traits, viz., leaf length (39.7-77.1 cm), leaf width (5.2-10.5 cm), leaf area (158.6-568.4 cm

Indexed as

Plant BreedingSelection, GeneticZea maysGenetic VariationGenotypePhenotypePlant LeavesQuantitative Trait LociIdeal plant architectureLeaf anglePlant densityShort cornShort plant height

Identifiers

PMID40484903

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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.