Genetic Parameters and Path Analysis of Yield and its Components in Corn Inbred Lines (Zea mays L.) at Different Sowing Dates

Hefny, Mohamed

doi:10.3923/ajcs.2011.106.117

Cited by 37 publications

(27 citation statements)

References 11 publications

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“…Path coefficient analysis revealed that number of kernel rows per ear and test weight had maximum positive direct effect on grain yield indicating the effectiveness of direct selection for these traits, whereas direct and negative effects were exhibited by days to 50 per cent silking and cob length indicating that selection for these traits result in reduced grain yield. Similar results were observed by Hefny (2011), Nataraj et al, (2015 and Pavan et al, (2011).…”

Section: Resultssupporting

confidence: 81%

Correlation and Path Coefficient Analysis of Single Cross Hybrids in Maize (Zea mays L.)

Varalakshmi¹,

Wali²,

Deshpande³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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Section: Resultssupporting

confidence: 81%

Correlation and Path Coefficient Analysis of Single Cross Hybrids in Maize (Zea mays L.)

Varalakshmi¹,

Wali²,

Deshpande³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…1 and 2). Hefny (2011) reported that high GCV estimates are an indicative of less amenability of these traits to environmental fluctuations and greater emphasis should be given to these characters, while breeding cultivars from the present material.…”

Section: Resultsmentioning

confidence: 99%

“…In general, genotypic correlation coefficients were higher than corresponding phenotypic ones for most of the characters in both years. 17% of genotypic correlations and 6% of phenotypic correlations were statistically significant (2002); Kashiani et al (2008);Öktem (2008); Kashiani et al (2010); Khazaei et al (2010);İlker (2011) in sweet corn and Kabdal et al (2003) and Hefny (2011) in corn.…”

Section: Resultsmentioning

confidence: 99%

Genetic Variability and Association Analysis of SomeQuantitative Characters in Sweet Corn

Alan

Kınacı

et al. 2013

Not Bot Hort Agrobot Cluj

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The objective of this study was to determine genetic variability, heritability, genetic advance, genotypic and phenotypic correlations of yield, yield components and kernel quality traits in seven sweet corn varieties. The present research was conducted during 2009 and 2010 growing season in Eskisehir, midwestern Turkey. The trials were set up in randomised complete block design with four replications. Analysis of variance observed highly significant differences for all the examined traits in both years. Sugar content, soluble solid concentration and number of leaves per plant revealed the highest genotypic and phenotypic coefficient of variation values. The high heritability estimates coupled with high genetic advance for sugar content, soluble solid concentration and starch content. Positive correlations were revealed between yield (husked, dehusked and fresh kernel) and yield components except plant height and 1000 seed weight. Negative correlations were found between kernel quality and yield and yield related traits. It can be concluded that, husked ear weight and dehusked ear weight could be used as the main criteria for yield improvement. It should be unfeasible to develop sweet corn varieties with satisfactory yield potential and improved kernel quality for the different sweet corn markets.

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“…Similar results confirming these results have been reported by Nataraj et al (2014). Hefny (2011) reported negative non-significant genotypic and phenotypic correlation between yield plant -1 , days to 50% anthesis and days to 50% silking under optimal sowing conditions. However, in both hybrid populations, the genotypic and phenotypic correlations between grain yield, ear diameter and field weight were positive and significant, suggesting the reliability of these traits as good selection indices for high grain yield in both hybrid populations.…”

Section: Discussionmentioning

confidence: 99%

Correlation and path coefficient analysis of top-cross and three-way cross hybrid maize populations

Sesay¹,

Ojo²,

Ariyo³

et al. 2017

Afr. J. Agric. Res.

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Grain yield is a complex quantitative trait that depends on a number of other traits for selection. This study was carried out to reveal the pattern of association with and contribution of traits to grain yield in two maize populations evaluated in three agro-ecological zones of South-Western Nigeria during the 2014 cropping season. The experiment consisted of 10 top-cross and 10 three-way cross maize hybrids, laid out in a randomised complete block design with three replications. Genotypic and phenotypic correlation coefficients and path co-efficient analyses were performed for each hybrid population across the three locations. Results showed significant (p≤0.05) differences between the two hybrid populations for all the traits mentioned except days to 50% anthesis, ear diameter and 100-grain weight. Field weight in both hybrid populations, number of kernel rows per cob, ear diameter and ear height in top-cross hybrids, as well as ear length and 100-grain weight in the three-way cross hybrids were directly correlated with grain yield. The link between direct and indirect effects on grain yield depends on hybrid population, although some traits showed similar direct effects in both hybrid populations. These traits can be used as the main criteria for grain yield improvement in the respective hybrid populations.

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Genetic Parameters and Path Analysis of Yield and its Components in Corn Inbred Lines (Zea mays L.) at Different Sowing Dates

Cited by 37 publications

References 11 publications

Correlation and Path Coefficient Analysis of Single Cross Hybrids in Maize (Zea mays L.)

Correlation and Path Coefficient Analysis of Single Cross Hybrids in Maize (Zea mays L.)

Genetic Variability and Association Analysis of SomeQuantitative Characters in Sweet Corn

Correlation and path coefficient analysis of top-cross and three-way cross hybrid maize populations

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