Evidence map›Paper›PMID 42106381›Full record

ArticleScientific reports2026

Foliar efficacy of phosphorous formulations for rainfed cotton with graded levels.

A Manikandan, D Blaise, T Harshanand, C R Mundafale, A S Tayade, V N Waghmare

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

A ManikandanICAR- Central Institute for Cotton Research, Nagpur, 440 010, Maharashtra, India. poonamani223@gmail.com.
D BlaiseICAR- Central Institute for Cotton Research, Nagpur, 440 010, Maharashtra, India.
T HarshanandICAR- Central Institute for Cotton Research, Nagpur, 440 010, Maharashtra, India.
C R MundafaleICAR- Central Institute for Cotton Research, Nagpur, 440 010, Maharashtra, India.
A S TayadeICAR- Central Institute for Cotton Research, Nagpur, 440 010, Maharashtra, India.
V N WaghmareICAR- Central Institute for Cotton Research, Nagpur, 440 010, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil amendment with phosphatic fertilizers (50 or 100%) as basal is susceptible to fixation losses, leading to low phosphorus use efficiency (PUE). Consequently, foliar spraying of di-ammonium phosphate (DAP) up to 2% is preferred for rainfed cotton. In addition, it has been reported that nano-fertilizers facilitate a steady release of nutrients, enhance nutrient uptake, and boost nutrient use efficiency, ultimately resulting in increased crop yields and profitability. Therefore, this study aimed to investigate the foliar efficacy of DAP formulations to increase the growth, yield and nutrient uptake in rainfed cotton grown in black calcareous soils with graded levels. The field experiment consists of 13 treatment combinations with 3 replications, which were laid out via randomized complete block design (RCBD) during the kharif seasons of 2023 and 2024. These include varying levels (100, 75, 50%) of recommended dose of fertilizer (RDF) with foliar spray (FS) of nano DAP one time at 45 DAS, two-times at 45 and 60 DAS, foliar spraying of DAP one time at 45 DAS, two-times at 60 DAS and a water spray (control 0% RDF). Nano-DAP (2% N, 5% P₂O₅) and DAP (18% N, 46% P₂O₅) were sprayed in both the years. In 2023 and 2024, the treatment T

Indexed as

FertilizersGossypiumPhosphorusPlant LeavesRainSoilFertilizersPhosphorusSoilBlack calcareous soilsBt-cottonDi-ammonium phosphateFoliar sprayNanoRainfed vertisol

Identifiers

PMID42106381
PMCPMC13347062

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.