Predicting the Leaf Area and Leaf Dry Weight of Elaeagnus mollis in Shanxi

doi:10.7677/ynzwyj201413212

Abstract

Abstract:

Nondestructive and mathematical approaches of modeling can be very convenient and useful for plant growth estimation. The leaf of Elaeagnus mollis was taken as the object of research. Leaf length、 leaf width、SPAD value and different combinations of these variables were developed models to predict individual leaf area, saturated fresh weight, and dry weight of Elaeagnus mollis. Ten regression equations were compared. Select fitting the best model as a predictive model in leaf area, saturated fresh weight and dry weight. The three models were as follows: individual leaf area LA=3647+0383LW+0001LWS (R=0968), saturated fresh weight SFW=-0464+0081L+000008LWS (R=0963), and dry weight DW=-0094+0032W+00001LS (R=0960). The best prediction model of LA, SFW and DW was validated with the measured value. The results showed that the predicted values and measured values were highly consistent. It could be used to predict the LA, SFW and DW of actual unknown leaves.

Key words: Leaf length, Leaf width, Model, Elaeagnus mollis, SPAD value

CLC Number:

Q 141

WEI Jing, BI Run-Cheng, MIAO Yan-Ming. Predicting the Leaf Area and Leaf Dry Weight of Elaeagnus mollis in Shanxi[J]. Plant Diversity, 2014, 36(04): 497-504.

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