Evidence map›Paper›PMID 29276662›Full record

Article3 Biotech2018

'Ogura'-based 'CMS' lines with different nuclear backgrounds of cabbage revealed substantial diversity at morphological and molecular levels.

Chander Parkash, Sandeep Kumar, Rajender Singh, Ajay Kumar, Satish Kumar, Shyam Sundar Dey, Reeta Bhatia, Raj Kumar

Abstract read
In one paragraph

Article in 3 Biotech, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

8 authors.

Chander ParkashICAR-Indian Agricultural Research Institute (IARI) Regional Station, Katrain, Kullu Valley, Himachal Pradesh 175129 India.
Sandeep KumarICAR-Indian Agricultural Research Institute (IARI) Regional Station, Katrain, Kullu Valley, Himachal Pradesh 175129 India.
Rajender SinghICAR-Indian Agricultural Research Institute (IARI) Regional Station, Katrain, Kullu Valley, Himachal Pradesh 175129 India.
Ajay KumarICAR-Indian Agricultural Research Institute (IARI) Regional Station, Katrain, Kullu Valley, Himachal Pradesh 175129 India.
Satish KumarICAR-Indian Agricultural Research Institute (IARI) Regional Station, Katrain, Kullu Valley, Himachal Pradesh 175129 India.
Shyam Sundar DeyICAR-Indian Agricultural Research Institute (IARI) Regional Station, Katrain, Kullu Valley, Himachal Pradesh 175129 India.
Reeta BhatiaICAR-Indian Agricultural Research Institute (IARI) Regional Station, Katrain, Kullu Valley, Himachal Pradesh 175129 India.
Raj KumarICAR-Indian Agricultural Research Institute (IARI) Regional Station, Katrain, Kullu Valley, Himachal Pradesh 175129 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive study on characterization and genetic diversity analysis was carried out in 16 'Ogura'-based 'CMS' lines of cabbage using 14 agro-morphological traits and 29 SSR markers. Agro-morphological characterization depicted considerable variations for different horticultural traits studied. The genotype, ZHA-2, performed better for most of the economically important quantitative traits. Further, gross head weight (0.76), head length (0.60) and head width (0.83) revealed significant positive correlation with net head weight. Dendrogram based on 10 quantitative traits exhibited considerable diversity among different CMS lines and principle component analysis (PCA) indicated that net and gross head weight, and head length and width are the main components of divergence between 16 CMS lines of cabbage. In molecular study, a total of 58 alleles were amplified by 29 SSR primers, averaging to 2.0 alleles in each locus. High mean values of Shannon's Information index (0.62), expected (0.45) and observed (0.32) heterozygosity and polymorphic information content (0.35) depicted substantial polymorphism. Dendrogram based on Jaccard's similarity coefficient constructed two major groups and eight sub-groups, which revealed substantial diversity among different CMS lines. In overall, based on agro-morphological and molecular studies genotype RRMA, ZHA-2 and RCA were found most divergent. Hence, they have immense potential in future breeding programs for the high-yielding hybrid development in cabbage.

Indexed as

CabbageDendrogramPCAPolymorphismSimple sequence repeat (SSR)

Identifiers

PMID29276662
PMCPMC5740037

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