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Interrelationship Path Coefficient Amalysis between some Yield Components in Maize

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Path coefficient analysis reveals interrelationships among yield components in maize, suggesting improved selection methods.

Path coefficient analysis shows a better understanding of yield components' relationships, enhancing selection processes.
Stronger associations among yield components can indicate better traits for selection, impacting maize productivity.
Using path coefficient analysis is more effective than simple correlation in evaluating the interrelationship of maize traits.
This research highlights the importance of character associations in maize yield, suggesting potential avenues for agricultural improvement.

Satish Kumar (1970) studied this question.

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