Sequential path analysis of grain yield and its components in maize

H. A.S. Agrama*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)


The efficiency of a breeding programme depends mainly on the direction and magnitude of the association between yield and its components and also the relative importance of each factor involved in contributing to grain yield. The purpose of this research is to describe the application of causal path analysis to grain yield in maize (Zea mays L.) to lake into account the sequential development of yield components. Causal-admissible path analysis was performed assuming unidirectional causal relationships among yield components of eight maize populations Sequential path analysis of the five yield components studied revealed that cars per plant had the highest direct effect on grain yield. However, the indirect effects of component traits via number of grains per ear was maximum. It was concluded that the number of kernels per car, prolificacy, and grain size serve as potential characters in breeding for superior lines for grain yield in maize.

Original languageEnglish
Pages (from-to)343-346
Number of pages4
JournalPlant Breeding
Issue number5
Publication statusPublished - 1996
Externally publishedYes


  • Zea mays
  • correlation coefficient
  • kernel number
  • kernel size
  • path coefficient
  • prolificacy

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Genetics
  • Plant Science


Dive into the research topics of 'Sequential path analysis of grain yield and its components in maize'. Together they form a unique fingerprint.

Cite this