KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/11215
Title: | Phenotypic Diversity of Rice Landraces Collected from Goa State for Salinity and Agro-morphological Traits |
Other Titles: | Not Available |
Authors: | K. K. Manohara, Sapana Pundalik Bhosle and Narendra Pratap Singh |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | 1-ICAR-Central Coastal Agricultural Research Institute 2-ICAR-National Rice Research Institute, Cuttack |
Published/ Complete Date: | 2018-08-14 |
Project Code: | Not Available |
Keywords: | Indigenous knowledge Landrace Shannon diversity Salinity |
Publisher: | Springer |
Citation: | Manohara, K.K., Bhosle, S.P. & Singh, N.P. 2018. Phenotypic Diversity of Rice Landraces Collected from Goa State for Salinity and Agro-morphological traits. Agric Res. https://doi.org/10.1007/s40003-018-0354-2 |
Series/Report no.: | Not Available; |
Abstract/Description: | The present study aimed at the characterization of rice landraces collected from the state of Goa for their utilization in breeding programs. Eighteen landraces of rice were collected from the remote villages of Goa during the survey conducted between 2010 and 2013 along with passport data and traditional knowledge. All the 18 landraces were characterized for 27 qualitative and 16 quantitative characters as per the DUS guidelines. They were also screened for salt tolerance at seedling stage under microplot conditions. Qualitative characters were analyzed using Shannon diversity and Cluster analysis, whereas quantitative characters were subjected to principal component analysis (PCA). Shannon diversity index ranged from 0.00 to 1.00 with a mean of 0.60. Cluster analysis grouped the accessions into two major clusters with three subclusters in each of the main cluster with a Jaccard similarity coefficient varying between 0.38 and 0.87. PCA has revealed four major components (eigenvalue[1]), which altogether explained 80.60% of the total variation. Phenotyping for salt stress at seedling stage grouped the landraces as highly tolerant (Korgut - red), moderately tolerant (Shidde, Korgutblack) and sensitive to highly sensitive. Information generated from this study would be useful in selecting landrace collections as donors in breeding new varieties. |
Description: | Not Available |
ISSN: | 2249-720X |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Agricultural Research |
NAAS Rating: | 5.95 |
Page Number: | Not Available |
Name of the Division/Regional Station: | Crop Sciences |
Source, DOI or any other URL: | https://link.springer.com/article/10.1007/s40003-018-0354-2 |
URI: | http://krishi.icar.gov.in/Publication/handle/123456789/11215 |
Appears in Collections: | NRM-CCARI-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.