Combining ability analysis for various yield and quality traits in rice (Oryza sativa L.)

Abstract

An investigation was undertaken to assess the combining ability for yield and quality traits in rice. Three WA cytoplasmic male sterile lines of rice i.e., IR-58025A, IR-68897A and Pusa 6A were crossed with six restorer genotypes i.e., Sanwal Basmati, Pusa Sugandh-2, Pusa Sugandh-3, Pusa Sugandh-5, Pusa 2517-2-51-1 and HUR-JM-59221 in line x tester design to generate 18 hybrids. Among the female parents, IR-58025A revealed significant desirable value of GCA effect for yield per plant and most of the quality traits. Among the pollen parents, Pusa Sugandh-3 revealed significant desirable value of GCA effect for most of the yield traits. However, Pusa Sugandh-5 revealed significant desirable value of GCA effect for most of the quality traits. Pusa 6A x Pusa Sugandh-2 evinced the highest significant value of SCA effect for grain yield followed by IR-58025A x Pusa Sugandh-5. However, IR-68897A x Pusa 2517-2-51-1 followed by IR-58025A x Sanwal Basmati revealed the significant desirable value of SCA effect for most of the quality traits. For both yield and quality traits, IR-58025A x Pusa Sugandh-5, IR-68897A x HUR-JM-59221 and Pusa 6A x Pusa Sugandh-2 were found to be relatively better performing. Thus, present study aims to develop hybrids performing better for both yield and quality traits.

Genetical Analysis and Detection for Wide Compatibility Traits of Some Rice Genotypes Under Egyptian Conditions

“…The contribution of maternal and paternal interaction (line x tester) was more important for grain yield/plant (62.53%). These results are agreed with the results obtained by Waza et al, (2015) and Rahaman (2016) they found the contribution of maternal and paternal interaction (line x tester) was more important for grain yield/plant.…”

Allocytoplasmic restorers and performance of hybrids in rice (Oryza sativa L.)

“…Combining ability variances in the present study (Table 2) revealed that magnitude of additive genetic variance (ϭ 2 A) was higher than dominance variance (ϭ 2 D) for the characters days to 50% flowering, effective tillers, flag leaf width, kernel length after cooking, kernel width after cooking and volume expansion ratio indicating predominance of additive gene action. Similar views were expressed by Srinivas et al (2015) and Rukmini Devi et al (2017) for kernel length after cooking and kernel width after cooking, Salgotra et al (2009) and Showkat et al (2015) for days to 50 % flowering and Asvin Kirubha et al(2019) hulling percent, milling percent, head rice recovery, kernel length, kernel width, length/breadth ratio, kernel elongation ratio, alkali spreading value and water uptake, the value of ϭ 2 A is lower than ϭ 2 D indicating the predominance of non additive gene action. The presence of non additive genetic variance offer scope for exploitation of heterosis.…”

“…The contribution of paternal and maternal interaction (female x male) was observed to be best in proportion for the traits effective tillers, filled seeds /panicle, yield/plant, hulling percent, milling percent, head rice recovery, kernel width after cooking, kernel elongation ratio and water uptake indicating that these characters are influenced by non additive gene action. The high contribution of maternal and paternal interaction in rice for the traits yield/plant, effective tillers, head rice recovery, kernel width after cooking also reported by Showkat et al (2015). Combining ability variances in the present study (Table 2) revealed that magnitude of additive genetic variance (ϭ 2 A) was higher than dominance variance (ϭ 2 D) for the characters days to 50% flowering, effective tillers, flag leaf width, kernel length after cooking, kernel width after cooking and volume expansion ratio indicating predominance of additive gene action.…”

Combining ability for yield and different quality traits in rice (Oryza sativa L.)

“…Dominant gene action seems to be more important for the expression of physico-chemical traits like head rice recovery, kernel length, length / breadth ratio, linear elongation ratio, volume expansion ratio, alkali spreading value, gel consistency and amylose content which was in agreement with the findings of Adilakshmi and Upendra (2014) and Thakare et al (2013). Milling percent also had higher SCA variance as reported by Waza et al (2015) whereas Alkali spreading value was the single character which exhibited additive genetic variance in contrast to their reports.…”

“…,Waza et al (2015), Ghosh et al(2013),Srivastava et al (2012), Saidaiah (2010) and Jayasudha and Sharma…”