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http://krishi.icar.gov.in/jspui/handle/123456789/31561
Title: | Multivariate analysis for yield and its component traits in rice (Oryza sativa L.) under alkaline soil condition |
Other Titles: | Not Available |
Authors: | Abdul Fiyaz R., Ramya K. T., Ajay B. C., Gireesh C. and Kulkarni R. S |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Institute of Rice Research |
Published/ Complete Date: | 2013-09-01 |
Project Code: | Not Available |
Keywords: | Rice, soil alkalinity, principal component axes, SIMPER analysis, grain yield |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | A study was undertaken to assess the response of rice genotypes grown under alkaline soil condition using various multivariate analytical tools. ANOVA and MANOVA revealed significant differences among 33 genotypes for different traits. Principal component analysis (PCA) grouped the traits into three components, which jointly explained 67 % of the total variation. Largest variation was explained by total biomass, spikelet per panicle and grain yield per panicle. When different alkalinity groups were compared in pairwise fashion using SIMPER analysis, it was found that there is no common trait to differentiate between the groups. Considering all traits together, Vikas and KMR 3 were identified as the most suitable genotypes which can be utilized as donors for tolerance to alkalinity |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Indian Journal of Genetics and Plant Breeding |
NAAS Rating: | 6.55 |
Volume No.: | 73(4) |
Page Number: | 438-442 |
Name of the Division/Regional Station: | Plant Breeding |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/31561 |
Appears in Collections: | CS-IIRR-Publication |
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