Evidence map›Paper›PMID 41523612›Full record

ArticleScientifica2025

Agromorphological Characterization and Variability Among Maize Hybrids in the Mid-Hills of Far-West Nepal.

Ram Chandra Bhatta, Akriti Risal, Asmita Shrestha, Sandesh Thapa, Mahendra Prasad Tripathi

Abstract read
In one paragraph

Article in Scientifica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

5 authors.

Ram Chandra BhattaDepartment of Plant Breeding, Gokuleshwor Agriculture and Animal Science College, Tribhuvan University, Baitadi, Nepal, tribhuvan-university.edu.np.ORCID https://orcid.org/0009-0008-5595-0405
Akriti RisalDepartment of Plant Breeding, Gokuleshwor Agriculture and Animal Science College, Tribhuvan University, Baitadi, Nepal, tribhuvan-university.edu.np.ORCID https://orcid.org/0009-0007-6847-7779
Asmita ShresthaDepartment of Plant Breeding, Gokuleshwor Agriculture and Animal Science College, Tribhuvan University, Baitadi, Nepal, tribhuvan-university.edu.np.ORCID https://orcid.org/0009-0003-3527-7990
Sandesh ThapaCooperative Extension, University of Maine, Orono, 04473, Maine, USA, maine.edu.ORCID https://orcid.org/0000-0002-0292-3779
Mahendra Prasad TripathiDepartment of Plant Breeding, National Maize Research Program, Chitwan, Rampur, Nepal.ORCID https://orcid.org/0000-0002-4009-4668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The experiment was conducted using an alpha lattice design with two replications for each genotype, comprising 20 maize hybrids obtained from CIMMYT and NMRP, including two check varieties. The treatment genotypes were assessed during the spring season of 2024 at the agronomy farm of Gokuleshwor College, Baitadi. The tallest plant height of 293.298 cm was recorded in genotype RH-12, while the shortest, 231.598 cm, was observed in RML-95/RML-140. The observed variation among genotypes indicated that selection can be effectively carried out based on traits such as days to 50% anthesis, days to 50% silking, anthesis-silking interval, number of rows per cob, number of grains per row, cob length, cob diameter, and grain yield. Most of the evaluated morphological traits showed a strong correlation with grain yield, depicting that indirect selection could effectively enhance yield potential. Among the hybrids, CAH 1817 stood out with the highest grain yield, followed closely by NH2226 and VH 18567. These varieties show great potential and could be strong candidates for promoting higher-yielding maize hybrids in Nepal.

Indexed as

anthesis–silking intervalcob traitsgrain yieldspring maizevariability

Identifiers

PMID41523612
PMCPMC12782325

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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.