Evidence map›Paper›PMID 21431349›Full record

ReviewPlant cell reports2011

The advent of genomics in mulberry and perspectives for productivity enhancement.

Paramjit Khurana, Vibha G Checker

Abstract readReview
PubMed Publisher
In one paragraph

Review in Plant cell reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 42 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Paramjit KhuranaDepartment of Plant Molecular Biology, University of Delhi, South Campus, Dhaula Kuan, New Delhi, 110021, India. param@genomeindia.org
Vibha G Checker
University of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sericulture in India is a highly remunerative industry, especially for the rural population. Mulberry is an extremely versatile plant, having multifaceted applications, the most important being the sole feed for the monophagus silkworm, Bombyx mori. Profitability of the sericulture industry is directly correlated with production of high-quality mulberry leaves. However, mulberry productivity is severely impacted by abiotic as well as biotic stresses. Therefore, to develop stress-tolerant mulberry with desired characteristics, a comprehensive understanding and utility of biotechnological resources is essential. Research efforts on mulberry encompass broad range of fields in plant biology from breeding, molecular markers, transcriptomics, proteomics, and metabolomics. Additionally, a large number of mulberry germplasm accessions have been maintained and evaluated in several countries. Identification of superior cultivars under stressed regimes is extremely important, and therefore, physiological traits have often been used as proxy genetic markers for assessing stress tolerance index. Mulberry genomic resources have provided a limited but an important list of novel candidate genes, thus enhancing the scope for future investigations for improvement of its productivity. The present review article gives a bird's eye view of current initiatives of genomics advancements in mulberry research and enumerates the prospects for enhancing its productivity.

Indexed as

BiotechnologyBreedingChromosome MappingGenetic MarkersGenetic VariationGenomicsGenotypeIndiaMetabolomicsMorusPlant LeavesStress, PhysiologicalTissue Culture TechniquesTranscriptomeTransformation, GeneticGenetic Markers

Identifiers

PMID21431349
OpenAlexW2064253174

What OpenQuestion holds

Textmetadata
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.