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http://krishi.icar.gov.in/jspui/handle/123456789/27351
Title: | Cluster analysis studies in rice (Oryza sativa L.) using wards minimum variance method |
Other Titles: | Not Available |
Authors: | K.L.Y. Tejaswini • Srinivas Manukonda • P. V. Ramana Rao* • B.N.V.S.R. Ravi Kumar • Lal Ahamed Mohammad • S. Krishnam Raju |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | APRRI & RARS, Maruteru, West Godavari District, Andhra Pradesh, India AICRP IFS IIFSR |
Published/ Complete Date: | 2016-01-01 |
Project Code: | Not Available |
Keywords: | Genetic divergence, cluster analysis, wards method |
Publisher: | science web |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | The nature and magnitude of genetic divergence was estimated in one hundred and fourteen F5 families of rice obtained from six different crosses along with their seven parents using ward’s minimum divergence method by considering 10 characters. Results revealed existence of considerable amount of diversity in the material. The genotypes were grouped into twelve clusters. Cluster V constituted maximum number of genotypes (27). The genotypes falling in cluster XII had the maximum divergence (123.339), which was closely followed by cluster IX (112.928). The maximum inter cluster Euclidean2 values was observed between cluster II and XII (1882.852) followed by cluster IX and XII (1488.520) suggesting that the genotypes constituted in these clusters may be used as parents for future hybridization programme |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Agricultural and Crop Research |
Volume No.: | Vol. 4(9) |
Page Number: | 129-139 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/27351 |
Appears in Collections: | NRM-IIFSR-Publication |
Files in This Item:
File | Description | Size | Format | |
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1-2016-17.pdf | 942.09 kB | Adobe PDF | View/Open |
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