Literature DB >> 24425072

A Study on the nature of genetic divergence in rice from assam and North East Himalayas.

S Vairavan1, E A Siddiq, V Arunachalam, M S Swaminathan.   

Abstract

A representative group of 190 rice types collected from North-East India along with four standard varieties, three of which were indicas and one japonica, was studied to understand the nature of genetic divergence. Preliminary grouping was done by canonical analysis and the resultant 42 groups were further classified using the D(2) statistic.The final grouping resulted in nine divergent clusters. The three indica standards were found in three different clusters indicating the wide available variability among them. The japonica standard formed a separate group by itself. A majority of the North-East Indian types formed clusters with indicas, whereas some were intermediate and still others were closer to japonica or indica, thus indicating a series of intergrades bridging indica and japonica.Height followed by leaf area was found to be important for primary and 100-grain weight, followed by amylose content for secondary differentiation. It appears that natural selection as well as human selection might have operated for characters differentiating rice types in Assam and North Eastern Himalayas. Geographical distance was not found to be related to genetic divergence. The study suggests that O. sativa contains innumerable but divergent forms, and its classification into definite varietal groups on an arbitrary basis such as isolation barrier, sexual affinity or geographic distribution would be far from reality.

Entities:  

Year:  1973        PMID: 24425072     DOI: 10.1007/BF00309136

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  1 in total

1.  Intra and inter subspecific variation in soluble proteins of Oryza sativa L.

Authors:  E A Siddiq; Y S Nerkar; S L Mehta
Journal:  Theor Appl Genet       Date:  1972-01       Impact factor: 5.699

  1 in total
  8 in total

1.  Divergent gene pools in rice improvement.

Authors:  K S Kanwal; R M Singh; J Singh
Journal:  Theor Appl Genet       Date:  1983-05       Impact factor: 5.699

2.  Indica-Japonica differentiation of rice cultivars viewed from variations in key characters and isozymes, with special reference to landraces from the Himalayan hilly areas.

Authors:  R Sano; H Morishima
Journal:  Theor Appl Genet       Date:  1992-07       Impact factor: 5.699

3.  Adaptive responses and genetic divergence in a world germplasm collection of chick pea (Cicer arietinum L.).

Authors:  R K Narayan; A J Macefield
Journal:  Theor Appl Genet       Date:  1976-07       Impact factor: 5.699

4.  Genetic divergence and biology of adaptation inCicer arietinum L.

Authors:  R G Dani; B R Murty
Journal:  Theor Appl Genet       Date:  1985-07       Impact factor: 5.699

5.  Genetic divergence among some maintainer and restorer lines in relation to hybrid breeding in rice (Oryza sativa L.).

Authors:  A W Julfiquar; S S Virmani; A L Carpena
Journal:  Theor Appl Genet       Date:  1985-09       Impact factor: 5.699

6.  Genetic structure and diversity of indigenous rice (Oryza sativa) varieties in the Eastern Himalayan region of Northeast India.

Authors:  Baharul Choudhury; Mohamed Latif Khan; Selvadurai Dayanandan
Journal:  Springerplus       Date:  2013-05-19

7.  Genetic Diversity and Population Structure in Aromatic and Quality Rice (Oryza sativa L.) Landraces from North-Eastern India.

Authors:  Somnath Roy; Amrita Banerjee; Bandapkuper Mawkhlieng; A K Misra; A Pattanayak; G D Harish; S K Singh; S V Ngachan; K C Bansal
Journal:  PLoS One       Date:  2015-06-12       Impact factor: 3.240

8.  Analysis of genetic diversity and population structure of rice germplasm from north-eastern region of India and development of a core germplasm set.

Authors:  Debjani Roy Choudhury; Nivedita Singh; Amit Kumar Singh; Sundeep Kumar; Kalyani Srinivasan; R K Tyagi; Altaf Ahmad; N K Singh; Rakesh Singh
Journal:  PLoS One       Date:  2014-11-20       Impact factor: 3.240

  8 in total

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