Evidence map›Paper›PMID 33889179›Full record

ReviewFrontiers in genetics2021

Understanding Omics Driven Plant Improvement and

Rakesh Kumar, Vinay Sharma, Srinivas Suresh, Devade Pandurang Ramrao, Akash Veershetty, Sharan Kumar, Kagolla Priscilla, BhagyaShree Hangargi, Rahul Narasanna, Manish Kumar Pandey and 3 more

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Functional Genomics for Plant Breeding.International journal of molecular sciences · 2021
    Article
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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

13 authors.

Rakesh KumarDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
Vinay SharmaInternational Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India.
Srinivas SureshDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
Devade Pandurang RamraoDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
Akash VeershettyDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
Sharan KumarDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
Kagolla PriscillaDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
BhagyaShree HangargiDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
Rahul NarasannaDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
Manish Kumar PandeyInternational Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India.
Gajanana Ramachandra NaikDepartment of Life Science, Central University of Karnataka, Kalaburagi, India.
Sherinmol ThomasDepartment of Biosciences & Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.
Anirudh KumarDepartment of Botany, Indira Gandhi National Tribal University, Amarkantak, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current era, one of biggest challenges is to shorten the breeding cycle for rapid generation of a new crop variety having high yield capacity, disease resistance, high nutrient content, etc. Advances in the "-omics" technology have revolutionized the discovery of genes and bio-molecules with remarkable precision, resulting in significant development of plant-focused metabolic databases and resources. Metabolomics has been widely used in several model plants and crop species to examine metabolic drift and changes in metabolic composition during various developmental stages and in response to stimuli. Over the last few decades, these efforts have resulted in a significantly improved understanding of the metabolic pathways of plants through identification of several unknown intermediates. This has assisted in developing several new metabolically engineered important crops with desirable agronomic traits, and has facilitated the

Indexed as

crop improvementde novo domesticationdomesticated-genesmetabolomicsomics

Identifiers

PMID33889179
PMCPMC8055929

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.