alexa Morphologybased multivariate analysis of phenotypic diversity of landraces of rice (Oryza sativa L.) of Bankura district of West Bengal
Bioinformatics & Systems Biology

Bioinformatics & Systems Biology

Journal of Phylogenetics & Evolutionary Biology

Author(s): A K SINHA, PK MISHRA

Abstract Share this page

The morphological characterization of plant is the basic criteria in order to provide fundamental information for plant breeding programme. The main objective of the present work was to characterize 34 landraces of rice of Bankura District of West Bengal, based on 12 quantitative agro-morphological characters. Agro-morphological characters were analyzed using Multivariate statistical analysis. Multivariate analysis involves observation and analysis of more than one statistical variable at a time. Pearson correlation coefficient, The un- weighted variable pair group method of the average linkage cluster analysis (UPGMA), principal component analysis (PCA), were used to analyze the data obtained. This analysis helps to enabled pattern of variation of the germplasm of landraces of rice and identification of the major traits contributing to the diversity of landraces. Five cluster groups were obtained from the 12 agro-morphological characters using multivariate analysis. PCA showed the contribution of each characters to the classification of the rice landraces into different cluster groups. The first three principal components explained about 86.9% of the total variation among the 12 characters. The results of PCA suggested that characters such as leaf length, leaf width, panicle length and grain size (100 grain weight, length and width of grain and kernel) were the principal discriminatory characteristics of landraces of rice.

  • To read the full article Visit
  • Open Access
This article was published in Journal of Crop and Weed and referenced in Journal of Phylogenetics & Evolutionary Biology

Relevant Expert PPTs

Relevant Speaker PPTs

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords