Construction and application of the leaf area prediction model for young Quercus variabilis

LI Hui, ZHANG Wan, CHANG Yihao, YANG Xia, XIAO Xiangwei, ZHU Jingle

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (5) : 246-254.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (5) : 246-254. DOI: 10.12302/j.issn.1000-2006.202208069

Construction and application of the leaf area prediction model for young Quercus variabilis

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Abstract

【Objective】The leaf area prediction model of young Quercus variabilis was established to apply a rapid and nondestructive measurement. The leaf shape variation and difference characteristics of 43 different Q. variabilis families were analyzed to provide a theoretical basis for studying the genetic diversity and breeding of Q. variabilis. 【Method】A total of 43 Q. variabilis families were selected from different regions of China as the research objects. The optimal parameters of the leaf area prediction model were selected through correlation analysis and curve fitting analysis of leaf length, width, length-width ratio, length-width product, and measured leaf area.Through geometric model and curve fitting analysis, the optimal prediction model of the leaf area of young Q. variabilis was screened, and the results were verified. The differences in leaves among different families were analyzed by statistical description, one-way analysis of variance, correlation analysis, and cluster analysis. 【Result】(1) Leaf length-width product (X1×X2) was significantly correlated with the leaf area of young Q. variabilis, and the prediction model of leaf area of young Q. variabilis could be established according to this combination index. (2) The leaf area prediction model of young Q. variabilis Y=0.595X1 ×X2+257.640 was the most accurate, R2=0.946, and the standard error was as low as 32.830 cm2, which could be used to predict the leaf area of young Q. variabilis.(3) The leaf indexes of the 43 Q. variabilis families had different degrees of variation. The differences in leaves among different families and within families were large. (4) The results of the correlation analysis between leaf traits and geographical information of origin showed no significant correlation between other indexes except leaf dry weight and annual precipitation. 43 families could not be classified independently, and the regularity was not strong. 【Conclusion】A more accurate prediction model of the leaf area of young Q. variabilis Y=0.595X1×X2+257.640 was established by using leaf length and width product as parameters, which provided an efficient and nondestructive method for obtaining the leaf area of Q. variabilis and provided a theoretical basis for breeding and family selection of Q. variabilis.

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Quercus variabilis family / leaf area prediction model / leaf shape / variation characteristics

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LI Hui , ZHANG Wan , CHANG Yihao , et al . Construction and application of the leaf area prediction model for young Quercus variabilis[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2024, 48(5): 246-254 https://doi.org/10.12302/j.issn.1000-2006.202208069

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