Genetic Variability and Path Analysis Studies in Hybrid Maize (<i>Zea mays</i> L.)

Abstract

The present study was carried out to access correlation coefficient, path analysis and genetic variability among twenty one locally developed maize hybrids for ten characters. Positive and significant genotypic, phenotypic correlation coefficient were recorded for yield with anthesis silking interval (r g = 1.00**, r p = 0.96**), cob diameter (r g = 0.99** and r p = 0.95**) and ear height (r g = 0.98** and r p = 0.94**). But days to 50% tasseling had moderate but significant positive correlation at both phenotypic and genotypic level. High genotypic coefficient of variation (GCV) was obtained from thousand seed weight, days to 50% silking, cob diameter and anthesis silking interval. The highest phenotypic coefficient of variation (PCV) was observed in thousand seed weight followed by days to 50% silking and cob diameter. The highest heritability (Hb) was observed for cob diameter (95.25) followed by days to 50% silking (94.15), days to maturity (93.85) and ear height (93.06). The characters with high GCV and higher values of heritability indicated high potential for selection. Anthesis silking interval (0.79) had the highest positive direct effect on yield followed by cob diameter (0.31), cob length (0.31) and plant height (0.04) indicating the effectiveness of direct selection. While some other characters such as days to 50% tasseling (−0.12), days to 50% silking (−1.78), ear height (−1.16), days to maturity (−0.64) exhibited indirect negative effect on yield indicating the effectiveness of indirect selection.

Genetic Variability and Path Analysis Studies in Barley (Hordeum vulgare L.)

“…Five traits such as 1000 seed weight, yield/ plant, days to heading, spike length and yield/ plot showed higher heritability associated with low genetic advance indicated nonadditive gene action. It was also shown by Begum et al (2016) and Matin et al (2017). But the character grain/ spike had high Hb value along with high GA suggesting additive gene effects.…”

“…This was an indication of indirect selection. Direct negative effect on yield also mentioned in some parameters of maize in an study of Matin et al (2017), which indicated the effectiveness of indirect selection.…”

Association studies between grain yield and agronomic traits of a MARS maize (Zea mays L.) population under drought and non-stress condition

“…Several maize breeders have used this method for identifying secondary traits as opposed to the use of genetic correlation (Barros et al, 2010;Chinnadurai and Pothraj, 2011;Begum et al, 2016;Baretta et al, 2016, Talabi et al, 2017Matin et al, 2017). However, the use of path coefficient analysis to identify and validate secondary traits for selection of improved grain yield under water stress and non-stress condition remains a relevant research focus in maize breeding Edmeades, 1993, 1996;Bänziger and Lafitte, 1997;Badu-Apraku et al, 2004).…”

Screening of suitable genotype for Bangladesh conditions based on genetic variability and path analysis in F2 white maize populations

“…The path analysis will help to create a good image of the interconnection of the seed yield with other contributory characters, and the direct and indirect effects of them. Matin et al (2017) studied 10-character access path analysis with 21 locally developed maize hybrids. The most important positive influence on yield was the silking interval (0.79) of anthesis, followed by the diameter of cob (0.31), length of cob (0.31), and plant height (0.04), whereas some other characters, such as dayto-day tasseling (−0.12), days to silking (−1.78), ear height (−1.16), and days to maturity (−0.64), had an indirect negative impact on yields, showing indirect selection effect.…”