Evidence map›Paper›PMID 27507255›Full record

ArticleBMC ecology2016

Differentiation and description of aromatic short grain rice landraces of eastern Indian state of Odisha based on qualitative phenotypic descriptors.

Pritesh Sundar Roy, Rashmita Samal, Gundimeda Jwala Narasimha Rao, Sasank Sekhar Chyau Patnaik, Nitiprasad Namdeorao Jambhulkar, Ashok Patnaik, Trilochan Mohapatra

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Article in BMC ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

  1. Genetic relationship, population structure analysis and pheno-molecular characterization of rice (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
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5 · Who and what money

Authors and funding

7 authors.

Pritesh Sundar RoyCentral Rice Research Institute, Cuttack, 753006, India.
Rashmita SamalCentral Rice Research Institute, Cuttack, 753006, India.
Gundimeda Jwala Narasimha RaoCentral Rice Research Institute, Cuttack, 753006, India.
Sasank Sekhar Chyau PatnaikCentral Rice Research Institute, Cuttack, 753006, India.
Nitiprasad Namdeorao JambhulkarCentral Rice Research Institute, Cuttack, 753006, India.
Ashok PatnaikCentral Rice Research Institute, Cuttack, 753006, India.
Trilochan MohapatraCentral Rice Research Institute, Cuttack, 753006, India. tmnrcpb@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpeciality rice, in general, and aromatic rice in particular, possess enormous market potential for enhancing farm profits. However, systematic characterization of the diversity present in this natural wealth is a major pre requisite for using it in the breeding programs. This study reports qualitative phenotypic trait based characterization of 126 short grain aromatic rice genotypes, collected from different areas of the state of Odisha, India.

resultsOut of the 24 descriptors employed, highest variability (8 different types) was observed for lemma-palea colour with a genetic diversity index (He) of 0.696. The principal component analysis reveals that the tip colour of lemma, colour of awn and colour of stigma, cumulatively explain 74 % of the total variation. The Population STRUCTURE analysis classified the population into two subpopulations which were subdivided further into four distinct groups. The western and southern districts of Odisha are endowed with maximum diversity in comparison to eastern and northern districts and at district level comparisons, Koraput and Puri districts are rich with a genetic diversity values of 0.324 and 0.303 respectively. With this set of morphological qualitative traits, based on 'phenoprinting', a newly proposed bar coding system, unique fingerprints of each genotype can be effectively generated that can help in easy identification of these genotypes.

conclusionThough aromatic rices represent a tiny fraction of the total rice germplasm, a small collection of 126 land races did exhibit rich diversity for all the qualitative traits. For lemma-palea colour, eight different types were detected while for tip colour of lemma, six different types were recorded, suggesting the presence of rich variability in short grain aromatic rices that are conserved in this region. The proposed 'phenoprinting' can be an effective descriptor with the unique finger prints generated for each genotype and coupled with molecular (DNA) finger printing, we can discriminate and identify each and every aromatic short grain rice genotype. The proposed system not only help in conservation but also can confer IPR protection to these specialty rices.

Indexed as

AllelesGenetic VariationGenotypeIndiaOryzaPhenotypePhylogenySeedsAromatic short grainCharacterizationDiversityLandracesPhenotypicRiceTrait

Identifiers

PMID27507255
PMCPMC4977617

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