Leaf area prediction for corn (Zea mays L.) cultivars with multiregression analysis
PHOTOSYNTHETICA, cilt.49, sa.4, ss.637-640, 2011 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 49 Sayı: 4
- Basım Tarihi: 2011
- Doi Numarası: 10.1007/s11099-011-0069-0
- Dergi Adı: PHOTOSYNTHETICA
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.637-640
- Anahtar Kelimeler: leaf area, multiregression analysis, Zea mays L., SIMPLE LINEAR MEASUREMENTS, GROWTH, SAPLINGS, LEAVES
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Ondokuz Mayıs Üniversitesi Adresli: Evet
Özet
Leaf area is one of the most important parameter for plant growth. Reliable equations were offered to predict leaf area for Zea mays L. cultivars. All equations produced for leaf area were derived as affected by leaf length and leaf width. As a result of ANOVA and multiregression analysis, it was found that there was a close relationship between actual and predicted growth parameters. The produced leaf-area prediction model in the present study is LA = a + b L + c W + d LZ where LA is leaf area, L is leaf length, W is maximum leaf width, LZ is leaf zone and a, b, c, d are coefficients. R (2) values were between 0.88-0.97 and standard errors were found to be significant at the p < 0.001 significance level.