Evidence map›Paper›PMID 36212325›Full record

ArticleFrontiers in plant science2022

Integrated management enhances crop physiology and final yield in maize intercropped with blackgram in semiarid South Asia.

T Varatharajan, Anchal Dass, Anil K Choudhary, S Sudhishri, V Pooniya, T K Das, G A Rajanna, Shiv Prasad, Karivaradharajan Swarnalakshmi, M N Harish and 7 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

17 authors.

T VaratharajanIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Anchal DassIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Anil K ChoudharyIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
S SudhishriIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
V PooniyaIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
T K DasIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
G A RajannaIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Shiv PrasadIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Karivaradharajan SwarnalakshmiIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
M N HarishIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Shiva DharIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Raj SinghIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Rishi RajIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Kavita KumariIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Arjun SinghIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
K S SachinIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.
Pramod KumarIndian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photosynthesis, crop health and dry matter partitioning are among the most important factors influencing crop productivity and quality. Identifying variation in these parameters may help discover the plausible causes for crop productivity differences under various management practices and cropping systems. Thus, a 2-year (2019-2020) study was undertaken to investigate how far the integrated crop management (ICM) modules and cropping systems affect maize physiology, photosynthetic characteristics, crop vigour and productivity in a holistic manner. The treatments included nine main-plot ICM treatments [ICM

Indexed as

blackgram intercroppingconservation agriculturecropping systemsdry matter partitioningintegrated crop managementphotosynthetic rate

Identifiers

PMID36212325
PMCPMC9538492

What OpenQuestion holds

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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.