Published in Scientific Papers. Series A. Agronomy, Vol. LXIX, Issue 1
Written by Bogdan COZMA, Diana OBISTIOIU, Raul PASCALAU, Ilinca Merima IMBREA, Laura CRISTA, Antoanela COZMA, Florinel IMBREA
Understanding relationships among grain quality traits is essential for improving oat performance under varying agronomic conditions. This study used principal component analysis (PCA) to assess the multivariate structure of key physical and chemical grain quality traits in eleven oat cultivars grown under different nitrogen fertilization levels during 2023-2025. A total of 55 cultivar × fertilization combinations were evaluated for hectoliter weight, protein content, fat content, and nitrogen-related traits. The first two principal components explained 93.4% of the total variance. The first
component (72.9%) was mainly associated with protein and nitrogen content, indicating the strong influence of nitrogen nutrition on grain composition. The second component (20.5%) was related to hectoliter weight and fat content, reflecting variation in physical grain quality among cultivars. PCA scores clearly differentiated cultivar–fertilization combinations, highlighting distinct cultivar responses to nitrogen supply. These findings confirm that PCA is an effective approach for identifying major determinants of oat grain quality and supports cultivar selection and nitrogen management strategies in oat production systems.
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{simplepopup popup="false" name="Citation21"}COZMA B., OBISTIOIU D., PASCALAU R., IMBREA I.M., CRISTA L., COZMA A., IMBREA F. 2026, MULTIVARIATE ANALYSIS OF GRAIN QUALITY TRAITS IN OAT (Avena sativa L.) CULTIVARS UNDER DIFFERENT NITROGEN FERTILIZATION LEVELS. Scientific Papers. Series A. Agronomy, Vol. LXIX, Issue 1, ISSN 2285-5785, 180-187. {/simplepopup}