Molecular Marker Based Genetic Diversity Analysis in Cape Gooseberry (Physalis peruviana L.)

Vikash Kumar *

Department of Horticulture (Fruit and Fruit Technology), Bihar Agricultural University, Sabour, Bhagalpur-813210, Bihar, India.

Sanjay Sahay

Department of Horticulture (Fruit and Fruit Technology), Bihar Agricultural University, Sabour, Bhagalpur-813210, Bihar, India.

Ravi S. Singh

Department of Plant Breeding and Genetics, Bihar Agricultural University, Sabour, Bhagalpur-813210, Bihar, India.

Hidayatullah Mir

Department of Horticulture (Fruit and Fruit Technology), Bihar Agricultural University, Sabour, Bhagalpur-813210, Bihar, India.

Kumari Rashmi

Department of Plant Breeding and Genetics, Bihar Agricultural University, Sabour, Bhagalpur-813210, Bihar, India.

*Author to whom correspondence should be addressed.


Abstract

Cape gooseberry is an important minor fruit crop of India. In the present study, genetic diversity of 12 genotypes of Cape gooseberry was analysed using Random Amplified Polymorphic DNA (RAPD) markers. For this purpose, twenty RAPD primers were employed to screen out the polymorphic primer(s) for use in the genetic diversity assessment. Results showed that genotypes, CITH Sel-7 and CITH Sel- 9, and CITH Sel-1 and CITH Sel-15 as the least diverged genotypes. Though, all the genotypes of CITH were found to be more diverged than  the local SS/VK genotypes, as they clustered separately. The most promising genotypes from a genetic diversity point of view were CITH Sel-7, CITH Sel-9, CITH Sel-16, CITH Sel-5, SS/VK/501 and SS/VK/601. These genotypes could be utilised as a diverse parent in hybridisation programme or as direct selection and may yield useful segregants by virtue of the high level of heterosis.

 

Keywords: Genetic diversity, Cape gooseberry, RAPD, Solanaceae, minor fruit.


How to Cite

Kumar, Vikash, Sanjay Sahay, Ravi S. Singh, Hidayatullah Mir, and Kumari Rashmi. 2018. “Molecular Marker Based Genetic Diversity Analysis in Cape Gooseberry (Physalis Peruviana L.)”. Current Journal of Applied Science and Technology 31 (3):1-6. https://doi.org/10.9734/CJAST/2018/45900.

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