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Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
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Vol. 10, Issue 11 (2021)
Genetic variability, character association and path analysis for yield traits of rice in different water regimes of rice (Oryza sativa L.)
Author(s):
Hamsa Poorna Prakash, Suman Rawte, Ritu R Saxena, SB Verulkar and Ravi R Saxena
Hamsa Poorna Prakash, Suman Rawte, Ritu R Saxena, SB Verulkar and Ravi R Saxena
Abstract:
An experiment was conducted with 52 germplasm lines of rice genotypes under three environmental conditions (IR-Irrigated, RF-Rainfed and TSD-Terminal Stage Drought) during Kharif 2018 and 2019. Highly significant differences among the genotypes for all thirteen yield traits in three conditions were observed based on pooled data. The highest mean value in IR condition was observed in the trait biological yield. Harvest index and number of filled grains showed high PCV and GCV coupled with high heritability and genetic advance. Harvest index was the only trait to show significant association with grain yield in all the three water regimes. Likewise, biological yield and harvest index reported to have high direct effect on grain yield. Thus, direct the selection of these traits will certainly be rewarding for improving the yield.
An experiment was conducted with 52 germplasm lines of rice genotypes under three environmental conditions (IR-Irrigated, RF-Rainfed and TSD-Terminal Stage Drought) during Kharif 2018 and 2019. Highly significant differences among the genotypes for all thirteen yield traits in three conditions were observed based on pooled data. The highest mean value in IR condition was observed in the trait biological yield. Harvest index and number of filled grains showed high PCV and GCV coupled with high heritability and genetic advance. Harvest index was the only trait to show significant association with grain yield in all the three water regimes. Likewise, biological yield and harvest index reported to have high direct effect on grain yield. Thus, direct the selection of these traits will certainly be rewarding for improving the yield.
Pages: 754-758 | 180 Views 81 Downloads
How to cite this article:
Hamsa Poorna Prakash, Suman Rawte, Ritu R Saxena, SB Verulkar, Ravi R Saxena. Genetic variability, character association and path analysis for yield traits of rice in different water regimes of rice (Oryza sativa L.). Pharma Innovation 2021;10(11):754-758.
Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
Main Menu
Special Issue
Copyright Form
Identifier
The Pharma Innovation Journal
