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/123456789/9321
Title: | GGE biplot analysis of genotype × environment interaction in rabi grain sorghum [Sorghum bicolor (L.) Moench] |
Other Titles: | Not Available |
Authors: | Rakshit Sujay Ganapathy K N Gomashe S. S Swapna M More A Gadakh S R Ghorade R B Kajjidoni S T Solanki B G Biradar B D Prabhakar |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Institute of Millets Research |
Published/ Complete Date: | 2014-01-01 |
Project Code: | Not Available |
Keywords: | GGE biplot, GxE interaction, sorghum, mega-environment |
Publisher: | The Indian Society of Genetics & Plant Breeding |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Nature and complexity of genotype × environment interaction (GEI) was studied among eight rabi grain sorghum cultivars across 11 locations during rabi 2011–12 and 2012–13 using GGE biplot analysis. Location (L) contributed for 89.9% of variation for grain yield, while genotypes (G) and G × L interactions accounted for 1% and 9% of variation only. The first two principal components (PCs) of GGE biplot accounted for 50% of variation in data for grain yield, which not ideally explained overall variation in the data. However, the biplot clearly demonstrated that across environments, SPH 1721 was the highest yielding stable genotype followed by CSH 15R. High crossover GEI was recorded among the testing locations and close correlation among these locations was not detected. ‘Which-won-where’ analysis detected three mega-environments (ME) among the testing locations, with ME1 represented by 5 locations, ME2 with 4 locations and ME3 with 2 locations. The study indicated the possibility to reduce the number of testing locations. |
Description: | Not Available |
ISSN: | 0975-6906 |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | The Indian Journal of Genetics and Plant Breeding |
Volume No.: | 74 |
Page Number: | 558 -563 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | 10.5958/0975-6906.2014.00889.X |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/9321 |
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.