Evidence map›Paper›PMID 41714342›Full record

ArticleScientific reports2026

Multivariate and stability analysis for yield and biochemical traits in radish (Raphanus sativus L.) genotypes from Sikkim Himalaya for functional food applications.

Kime Tare, Rajesh Kumar, Kunal Kaushik, Lomash Sharma, Sandhya Lamichaney

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kime TareDepartment of Horticulture, Sikkim University, Gangtok, Sikkim, 737102, India.
Rajesh KumarDepartment of Horticulture, Sikkim University, Gangtok, Sikkim, 737102, India. rkumar@cus.ac.in.
Kunal KaushikDepartment of Horticulture, Assam Agriculture University, Jorhat, Assam, 785013, India.
Lomash SharmaDepartment of Horticulture, Sikkim University, Gangtok, Sikkim, 737102, India.
Sandhya LamichaneyDepartment of Horticulture, Sikkim University, Gangtok, Sikkim, 737102, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radish (Raphanus sativus L.) is an important root vegetable utilized worldwide. Highly genetic diverse germplasm of radish exists in Sikkim, but no high-yielding and climate resilient cultivar has been released so far, causing hindrance in its productivity especially under organic conditions. The present investigation was conducted to assess the existing genetic variability, and yield potential along with phytochemical constituents of sixty-one entries (fifty-seven radish genotypes and four checks) using augmented RCBD to identify genotypic performance under organic cultivation. Presence of high phytochemical composition can help to identify radish as a functional food. In the present investigation, augmented RCB design helped to handle a large number of genotypes with limited replications. The traits like total carotenoid, total carbohydrate, total sugar, reducing sugar, antioxidant capacity and total phenol content showed strong genetic potential for further selection. Character association for biochemical traits revealed that many of the traits had strong influence on each other. The genotypes were grouped into eight sub clusters nested within two macro-clusters. The findings provide an important insight towards phytochemical constituents present and their genotype-by-environment interaction in tested radish genotypes. The study concludes that genotypes SR24, SR14, SR50 and SR42 were found to be superior for their biochemical composition while genotypes SR56, SR39, and SR41 were found to be superior across years for both yield and biochemical constituents. The investigation presents the possibility of selection for radish genotypes suitable for organic farming in Sikkim Himalayan region, alongside a valuable source of medicinal value and functional food properties.

Indexed as

Functional FoodRaphanusAntioxidantsGenotypeHimalayasMultivariate AnalysisPhytochemicalsSikkimAntioxidantsPhytochemicalsAugmented RCBDFunctional foodGenetic variabilityNutritional profilingOrganic cultivationRadishSikkim Himalaya

Identifiers

PMID41714342
PMCPMC13018483

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