Selection of superior genotypes in rice (Oryza sativa L.) through combining ability analysis

Abstract

: Combining ability analysis was studied in a line x tester analysis of rice (Oryza sativa L.). The analysis of variance for combining ability revealed that the variance due to GCA and SCA were highly significant for all the characters indicated that nonadditive gene actions were involved in the expression of the traits. Among the line AURC 14 and testers IR 64 and ADT 43 were considered as the best general combiners, while hybrids AURC 1 x ADT 36, AURC 8 x ADT 36, AURC 8 ADT 43, AURC 10 x ADT 43, AURC 14 x ADT 36, AURC 14 x TRY 1, AURC 22 x IR 64, AURC 22 x TRY 1 and AURC 25 x ADT 36 as good specific combiners for grain yield and other yield contributing and quality traits. The promising line AURC 14 and testers IR 64 and ADT 43 which are having high GCA effects in desirable direction for yield components and for quality traits may be incorporated in crossing programme. The crosses AURC 14 x TRY 1 and AURC 22 x IR 64 exhibited good SCA effects for major yield and more than seven yield contributing characters. This may be exploited for better yield and quality either by exploiting them through heterosis breeding or involving them in multiple cross breeding programme.

Studies on gene action and combining ability in rice (Oryza sativa. L) hybrids

“…RNR 28355 (3.26) was the best general combiner for characters such as days to 50% flowering, number of productive tillers per plant, number of grains per panicle, spikelet fertility and grain yield per plant, while RNR 26085 (3.09) was the best general combiner for plant height, number of productive tillers per plant, panicle length, kernel length and kernel breadth. These findings were supported bySatheeshkumar et al (2016) andAzad et al (2022).…”

Assessment of Combining ability for some Grain Yield and Quality Traits in Rice (Oryza sativa L.) by using Griffing Method and Biplot Analysis

“…The SCA variances recorded by Montazeri et al (2014) were higher than the GCA variances for panicle length and 1000-grain weight, suggesting that inheritance of these characters indicated predominance of non-additive gene action in the. Rahimi et al (2010), El-Refaee et al (2016, Rahaman (2016) and Satheeshkumar et al (2016) mentioned that, the analysis of variance for combining ability due to GCA and SCA were highly significant for days to heading, yield and its components characters indicated that both additive and non-additive gene effects contributed to the inheritance of the characters.…”