Quantitative Genetic Analysis for Yield and Yield Components in Boro Rice (Oryza sativa L.)

Abstract

Twenty-nine genotypes of boro rice (Oryza sativa L.) were grown in a randomized block design with three replications in plots of 4m x 1m with a crop geometry of 20 cm x 20 cm between November-April, in Regional Agricultural Research Station, Nagaon, India. Quantitative data were collected on five randomly selected plants of each genotype per replication for yield/plant, and six other yield components, namely plant height, panicles/plant, panicle length, effective grains/panicle, 100 grain weight and harvest index. Mean values of the characters for each genotype were used for analysis of variance and covariance to obtain information on genotypic and phenotypic correlation along with coheritability between two characters. Path analyses were carried out to estimate the direct and indirect effects of boro rice's yield components. The objective of the study was to identify the characters that mostly influence the yield for increasing boro rice productivity through breeding program. Correlation analysis revealed significant positive genotypic correlation of yield/plant with plant height (0.21), panicles/plant (0.53), panicle length (0.53), effective grains/panicle (0.57) and harvest index (0.86). Path analysis based on genotypic correlation coefficients elucidated high positive direct effect of harvest index (0.8631), panicle length (0.2560) and 100 grain weight (0.1632) on yield/plant with a residual effect of 0.33. Plant height and panicles/plant recorded high positive indirect effect on yield/plant via harvest index whereas effective grains/panicle on yield/plant via harvest index and panicle length. Results of the present study suggested that five component characters, namely harvest index, effective grains/plant, panicle length, panicles/plant and plant height influenced the yield of boro rice. A genotype with higher magnitude of these component characters could be either selected from the existing genotypes or evolved by breeding program for genetic improvement of yield in boro rice.

Path and association analysis and stress indices for salinity tolerance traits in promising rice (Oryza sativaL.) genotypes

“…These results clearly indicate that selection of genotype under normal and saline conditions should be entirely different. These results are in agreement with the findings of Raju et al (2003), Ganapathy et al (2006), Sabesan et al (2009) andChakraborty et al (2010) in rice. The lower estimates of phenotypic correlation coefficient indicate that the relations were affected by environment at the phenotypic level and are in conformity of the findings of Jayasudha and Sharma (2010) and Anbanandan et al (2009).…”

Morphological Characterization of Advanced Backcross Population for Yield and Yield Attributing Character in Rice (Oryza sativa L.)

“…Similar types of results were also reported by Hossain et al, (2015) and Devi et al, (2017) for number of filled grains per panicle, Ramakrishnan et al, (2006), Agahi et al, (2007), Kole et al, (2008), Satish Chandra et al, (2009) and Chakraborty et al, (2010) for hundred grain weight, Agahi et al, (2007) for number of productive tillers.…”

Correlation and Path Analysis for Iron and Zinc Content in Segregating Population of Rice

“…Plant height, hundred grain weight, zinc content and kernel breadth and kernel breath after cooking exhibited high to very high positive direct effect with yield table 3. These results were supported by Nagesh et al (2012) for plant height in hybrids, Kalaimaghal (2011) in F 2 , F 3 generation for zinc content , Chakraborty et al (2010) for hundred grain weight and Krishna et al (2008) for kernel breadth. Linear elongation ratio had negative direct effect due to the high indirect effect of kernel length, kernel breadth after cooking, breadth wise expansion ratio and iron content.…”