Information about correlations between crops is important to study so that selection activities in breeding programs can be carried out effectively and efficiently. This research aims to obtain positive correlations between traits in yield components and the yield of Padjadjaran field corn varieties. The research was conducted in Kutamandiri Village, Tanjungsari District, Sumedang Regency from March to June 2025. Data analysis of 149 corn lines in this study used Principal Component Analysis (PCA). Principal Component Analysis (PCA) was used to reduce variables into several main factors representing yield component traits. The results of testing the MSA values of each variable showed that all yield component traits had values above 0.50. This means that all variables have a strong enough relationship to be analyzed further. The highest MSA value was found in PTTK (0.893), while the lowest value was found in B100B (0.558), but it was still within acceptable limits. Based on the factor analysis results, yield component traits showed a structured relationship with crop yield. The eigenvalue analysisrevealed three principal components (PC) with eigenvalues >1: the first PC, the second PC, and the third PC.

Keywords: Field corn, Correlation, Principal Component Analysis

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