Correlation and Path Coefficient Analysis for ‘Yield Contributing’ Traits in Quality Protein Maize (Zea mays L.)

Singh, Digvijay; Kumar, Ajay; Kumar, R Nirmal; Singh, Satish Kumar; Kushwaha, Nitesh; Mohanty, Tushar Arun

doi:10.9734/cjast/2020/v39i2530889

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…On the other hand, grain yield per hectare had either significant or highly significant positive correlation with days to 50% pollen shed, days to 50% silk, days to 100% dry husk, kernels per row, leaf area index at 60 DAS and leaf area index at 90 DAS at both phenotypic and genotypic levels while it had positive correlation with ear height only at genotypic level (Table 4). It was supported by Patil et al, [14] and Singh et al, [15] also obtain similar result. Grain yield per hectare had highly significant negative correlation with 100 kernel weight at genotypic level.…”

Section: Genotypic and Phenotypic Correlation Coefficient Across The ...supporting

confidence: 67%

Assessment of Maize (Zea mays L.) Hybrids across Spacings for Variability, Trait Association and Path Analysis in North Eastern India

Kanna

Barua

Sharma

et al. 2021

IJECC

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The present investigation was conducted with nine genotypes in randomized block design (RBD) during Rabi, 2019-20 across the spacings viz., 60 cm x 20 cm and 50 cm x 20 cm at the ICR farm, AAU, Jorhat. In pooled analysis of variance, the genotype mean square across spacing was significant to highly significant for all the traits except ears per plant. The mean square due to genotype x spacing was significant to highly significant for the traits days to 50% silk, ears per plant, leaf area index at 60 DAS (days after sowing), leaf area index at 90 DAS, harvest index and grain moisture. Each of the hybrids responded similarly from spacing to spacing for the traits viz., days to 50% pollen shed, days to 100% dry husk, anthesis-silking interval, plant height, ear length, ear diameter, kernel rows per ear, kernels per row, 100 kernel weight and grain yield per hectare. One or more hybrids responded differently in the two spacings for the traits viz., days to 50% silk, ear height, ears per plant, chlorophyll content, leaf area index 60 DAS, leaf area index 90 DAS, harvest index, grain moisture and grain yield per plant. High heritability coupled with high genetic advance was observed for plant height, ear height, kernels per row, chlorophyll content, leaf area index at 60 DAS, leaf area index at 90 DAS, harvest index, grain yield per plant and grain yield per hectare across spacing and it indicated the preponderant role of additive gene action for these traits. Significant genetic association of both grain yield per plant and grain yield per hectare with days to 50% pollen shed, days to 50% silk, day to 100% dry husk, kernels per row, leaf area index at 60 DAS and leaf area index at 90 DAS indicated that grain yield could be improved indirectly by selecting superior plants for easily heritable traits like days to 50% pollen shed, days to 50% silk and days to 100% dry husk across spacing. Genotypic path analysis revealed that the characters viz., days to 100% dry husk, days to 50% pollen shed, ear length and kernel rows per ear had the highest positive direct effects on grain yield per plant while days to 50% silk and kernels per row had the highest negative direct effect on grain yield per plant across spacing.

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Section: Genotypic and Phenotypic Correlation Coefficient Across The ...supporting

confidence: 67%

Assessment of Maize (Zea mays L.) Hybrids across Spacings for Variability, Trait Association and Path Analysis in North Eastern India

Kanna

Barua

Sharma

et al. 2021

IJECC

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“…The observation further emphasizes the role of these three characters towards the improvement of grain yield in maize. Similar to the findings of our study, other researchers also have reported the same [12,13,14]. For determining the diversity among the inbred lines, a cluster analysis was performed, (Table 6A) which revealed that the genotypes can be classified into three clusters based on seventy percent similarity coefficient, as well as for a clear understanding, a dendogram was drawn through hierarchical cluster analysis based on unweighted pair-group method with arithmetic averages (UPGMA) and Euclidean distance (Fig.…”

Section: Resultssupporting

confidence: 93%

Multivariate and Association Analysis for Yield and Yield Attributing Traits in Quality Protein Maize (QPM) Inbred Lines

Subba

Nath

Ghosh

et al. 2021

CJAST

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The present investigation reveals the diversity existing among thirty inbred lines of Quality Protein Maize (QPM) in terms of yield and yield attributing traits. The study further elucidates the mutual association among the various morphological traits recorded among the inbred lines. The inbred lines were evaluated during the Rabi seasons of 2016-17, 2017-18 and 2018-19. The analysis of variance calculated over the mean performances of the inbred lines across three rabi seasons revealed significant differences among the inbred lines in terms of yield and yield attributing traits. The diversity among the inbred lines were further determined using cluster analysis which classified the inbred lines into 3 phylogenetically distinct groups. Additionally, a principal component analysis was performed which revealed three principal components (i.e., PC I, II and III) elucidating eighty six percent of the total observable variance among the inbred lines, with traits like grain yield, cob length, cob diameter, number of grain rows per cob, number of grains per row and number of grains per cob contributing to nearly half of the total variance explained by the Principal Component Analysis (PCA). The correlation as well as path coefficient analysis performed for the various traits further indicated significant influence of morphological traits like cob length, cob diameter, number of grain rows per cob and number of grains per cob over the observable grain yield per plant. Overall, the observations from the current investigation can be helpful in identifying superior parental lines to be used in future hybrid maize development programs.

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“…On the other hand, grain yield per plant had either significant or highly significant positive correlation with leaf area index at 60 days after sowing, kernels per row, days to 100% dry husk and grain yield per hectare at both phenotypic and genotypic levels while it had positive correlation with days to 50% pollen shed, days to 50% silking and ear height at genotypic level. Patil et al, [17] and Singh et al, [18] also obtain similar result. Grain yield per plant had highly significant negative correlation with 100 kernel weight at genotypic level.…”

Section: Genotypic and Phenotypic Correlation Coefficient During Rabi 2019-20supporting

confidence: 55%

Validation of Maize (Zea mays L.) Hybrids for the Study on Variability, Trait Association, and Path Analysis

Kanna

Barman

Sivasankarreddy

et al. 2021

IJPSS

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The present investigation was conducted with nine genotypes in randomized block design during Rabi, 2019-20 at the instructional-cum-research farm, Assam Agricultural University, Jorhat. All the characters exhibited significant genotypic mean squares in analysis of variance except anthesis silking interval, kernel rows per ear and 100 kernel weights. High heritability coupled with high genetic advance was observed for the traits plant height, ear height, ears per plant, ear length, kernels per row, chlorophyll content, leaf area index 60 days after sowing (LAI 60 DAS), LAI 90 DAS, harvest index, grain yield per plant and grain yield per hectare. Significant genetic association of grain yield per plant and grain yield per hectare with days to 50% pollen shed, days to 50% silk, days to 100% dry husk, ear height, kernels per row, LAI 60DAS and LAI 90 DAS. Genotypic path analysis revealed that the characters, days to 50% silk, days to 100% dry husk, plant height, ears per plant, ear diameter and harvest index had the highest positive direct effects on grain yield per hectare while days to 50% pollen shed and ear height had the highest negative direct effect on grain yield per hectare. The hybrids namely, PAC 751, CP 333 and PAC 751 ELITE, were found to be the three best hybrids to possess a high estimate of desirable traits such as days to 50% pollen shed, days to 50% silk, days to 100% dry husk, plant height, ear height, ear diameter, leaf area index at 60 days after sowing, lea area index at 90 days after sowing, grain yield per plant and grain yield per hectare.

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Correlation and Path Coefficient Analysis for ‘Yield Contributing’ Traits in Quality Protein Maize (Zea mays L.)

Cited by 5 publications

References 3 publications

Assessment of Maize (Zea mays L.) Hybrids across Spacings for Variability, Trait Association and Path Analysis in North Eastern India

Assessment of Maize (Zea mays L.) Hybrids across Spacings for Variability, Trait Association and Path Analysis in North Eastern India

Multivariate and Association Analysis for Yield and Yield Attributing Traits in Quality Protein Maize (QPM) Inbred Lines

Validation of Maize (Zea mays L.) Hybrids for the Study on Variability, Trait Association, and Path Analysis

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