Evidence map›Paper›PMID 39920262›Full record

ArticleScientific reports2025

Estimation of yield and nitrogen use efficiencies in hybrid maize varieties through site specific nitrogen management based on leaf color chart (LCC).

Suhail Fayaz, Raihana Habib Kanth, Tauseef A Bhat, Eajaz Ahmad Dar, Zahoor Ahmad Shah, Moneesa Bashir, Aijaz Nazir, Bilkees Jamsheed, Mohd Salim Mir, Zahoor A Dar and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

16 authors.

Suhail FayazDivision of Agronomy, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura, Sopore, 193201, India.
Raihana Habib KanthDean Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura, Sopore, 193201, India.
Tauseef A BhatDivision of Agronomy, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura, Sopore, 193201, India. tauseekk@gmail.com.
Eajaz Ahmad DarSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, 190006, Jammu and Kashmir, India.
Zahoor Ahmad ShahDivision of Agri. Extension, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, 190025, Jammu and Kashmir, India.
Moneesa BashirDivision of Agronomy, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura, Sopore, 193201, India.
Aijaz NazirDivision of Agronomy, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura, Sopore, 193201, India.
Bilkees JamsheedDivision of Agronomy, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura, Sopore, 193201, India.
Mohd Salim MirDivision of Agronomy, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura, Sopore, 193201, India. mirsalim@skuastkashmir.ac.in.
Zahoor A DarDryland Agriculture Research station, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, 190025, Srinagar, India.
Shailja SharmaSchool of Agriculture, Division of agronomy, Lovely Professional University, Ludhiana, 144411, India.
Aabid Hussain LoneMountain Research Centre for Field Crops- Khudwani, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, Jammu and Kashmir, India.
Dawood YousufARSSSS, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar Srinagar, Dussu, Pampore, India.
Nadhir Al-AnsariDepartment of Civil, Environmental, and Natural Resources Engineering, Lulea University of Technology, Lulea, 97187, Sweden. nadhir.alansari@ltu.se.ORCID 0000-0002-6790-2653
Mohamed A MattarDepartment of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia. mmattar@ksu.edu.sa.ORCID 0000-0002-7506-3036
Ali SalemStructural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pécs, Pécs 7622, Hungary. salem.ali@mik.pte.hu.ORCID 0000-0001-6176-8345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exorbitant praxis of nitrogen pioneered and opened up the usage of time-specific and need-based nitrogen management. The leaf color chart (LCC), being one of the handy tool, is put to use for the estimation of the indirect leaf N, and also heightens the competence of crop N administration. Integrating leaf color chart assessments into maize cultivation practices can provide a practical and cost-effective approach for tailoring nitrogen applications, leading to improved resource-use efficiency and sustainable maize production. To perceive the specific leaf color chart (LCC) value for precision maneuvering of nitrogen in different maize hybrids, a field experiment was carried out at the research farm of Division of Agronomy, FoA, Wadura, Sopore, SKUAST-Kashmir, in the years 2019 and 2020 (Kharif seasons). Split Plot Design (SPD) employing three maize varieties (Shalimar Maize Hybrid-2 (SMH-2), Kanchan-517 and Vivek-45) in main plots and precision management of nitrogen (T

Indexed as

NitrogenPlant LeavesZea maysAgricultureFertilizersFertilizersNitrogenEconomicsHybridsLCCMaizeNitrogen use efficiencyN ManagementYield

Identifiers

PMID39920262
PMCPMC11806063

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.