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/123456789/43625
Title: | Response of Quality Protein Maize Hybrids for grain yield in diverse environments. |
Other Titles: | Not Available |
Authors: | Ramesh Kumar Jyoti Kaul Yashmeet Kaur Abhijit Kumar Das Mukesh Choudhary Avinash Singode RB Dubey D. Sravani G.Mukari Sujay Rakshit |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR-IIMR, Ludhiana ICAR-IARI, New Delhi ICAR-IIMR, Hyderabad MPUAT, Udaipur PJTSAU Regional Station, Karim Nagar (Telangana) |
Published/ Complete Date: | 2020-04-01 |
Project Code: | AR:IIMR :17:02 |
Keywords: | Additive main effects and multiplicative interaction (AMMI), Genotype and environment interaction (G×E), GGE biplot, PCA, QPM |
Publisher: | Indian Journal of Agricultural Sciences an ICAR Publication |
Citation: | Not Available |
Series/Report no.: | Ind.J.Agric.Sci. 90(40): 756-61; |
Abstract/Description: | Genotype (G) × environment (E) interaction is very important for the evaluation of cultivars in breeding programmes.Present study was conducted to assess the effect of environment and yield stability of 68 quality protein maize (QPM)hybrids at three test environments [Begusarai (E1), Udaipur (E2) and Karim Nagar (E3)] in randomized block design(RBD). Data was analysed using the additive main effects and multiplicative interaction (AMMI) and genotype main effects and genotype by environment (GGE) biplot methods. The variation in genotypes, environments and genotype × environment interactions (G×E) was highly significant. Maximum variation was explained by G×E interactions(53.84%) and least by differences in environmental conditions (2.36%). Genotype × environment interaction was main source of variation followed by genotypes and environments. Together the two AMMI principal coordinates axes (PCA) explained 100% of phenotypic variation. AMMI Stability value (ASV) was calculated using ASV scores. Among these QPM hybrids, G59 was found to be the most stable with ASV of 0.174. The GGE biplot explained 77.41% of the total variation relative to G and GEI. Superior cross combinations for specific locations were also identified, viz.DQL2053 ×CML161, DQL2028 × CML161, DQL2047 × CML165, DQL2037 × CML161, DQL2042 × CLQRCY40,DQL2032 × CML165, DQL2047 × CML165 and DQL2072 ×CLQRCY40 in E1, DQL2063 × CML161, DQL2057× CML161, DQL2053 × CML165, DQL2080 × CLQRCY40 and DQL2065 × CLQRCY40 in E2 and DQL2063 ×CML161, DQL2039 × CML165, DQL2140 × CML161, DQL2082 × CLQRCY40 and DQL2024 × CML165 in E3. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Article |
Sponsors: | ICAR-IIMR |
Language: | English |
Name of Journal: | Indian Journal of Agriculture Sciences |
NAAS Rating: | 6.21 |
Volume No.: | 39 (2) |
Page Number: | 182-190 |
Name of the Division/Regional Station: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/43625 |
Appears in Collections: | CS-IIMR-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.