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/123456789/41826
Title: | Physiological characterization and grain yield stability analysis of RILs under different moisture stress conditions in wheat (Triticum aestivum L.) |
Other Titles: | Not Available |
Authors: | Harikrishna • G. P. Singh • Neelu Jain • P. K. Singh • S. V. Sai Prasad • Divya Ambati1 • T. R. Das • Arun Kumar • Javiad Akther Bhat • B. Amasiddha • Priyanka Vijay • Nivedita Sinha • P. C. Mishra • S. C. Misra • K. V. Prabhu |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR-Indian Agricultural Research Institute, New Delhi, Indian Institute of Wheat and Barley Research, Karnal, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur, Madhya Prasad, Agharkar ResearchInstitute, Pune, Maharastra |
Published/ Complete Date: | 2016-11-26 |
Project Code: | Not Available |
Keywords: | Physiological traits Drought Yield stability PCA Ideal genotype |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Drought stress is the major environmental constraint contributing to grain yield instability of wheat. In the present study, the recombinant inbred line population derived from DBW43/HI1500 cross was characterized for various morpho-physiological traits as well as grain yield stability analysis under moisture stress. The population was evaluated for grain yield under three different moisture stress environments viz., restricted irrigation, rainfed and late sown rainfed during the cropping season of year 2013–2014. Based on principal component analysis, the first five components explained over 60.40% of genetic variation. Grain yield per plot showed significant correlation with biomass and physiological traits viz., NDVI3, NDVI4, NDVI5, CT1, CT2 and CT3. The combined analysis of variance on grain yield data showed that mean squares of environments, genotypes and GEI were highly significant (p\ 0.01). To determine effects of GEI on grain yield, data were subjected to AMMI and GGE biplot analysis, which identified G4, G69, G28, G67, G55 and G112 as the most stable and high yielding genotypes. Hence, the physiological traits NDVI and CT can be effectively used to screen out the line for drought tolerance. In addition, the stable wheat genotypes identified could be used in future wheat breeding programme. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Indian Journal of Plant Physiology |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Genetics and Plant Breeding |
Source, DOI or any other URL: | DOI 10.1007/s40502-016-0257-9 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/41826 |
Appears in Collections: | CS-IIMilletsR-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.