HUBEI AGRICULTURAL SCIENCES ›› 2020, Vol. 59 ›› Issue (1): 74-77.doi: 10.14088/j.cnki.issn0439-8114.2020.01.015

• Horticulture & Local Products • Previous Articles     Next Articles

Regression analysis of Morus alba leaf size and its mass

JIN Fang-lun, WANG Xian-yu, HAN Shi-yu, LUO Chan-bin, YANG Sheng-te, LI Ming, HU Shi-yi   

  1. Guizhou Academy of Agricultural Sericulture Research Institute, Guiyang 55006, China
  • Received:2019-04-20 Online:2020-01-10 Published:2020-01-10

Abstract: In order to explore the main factors affecting the net quality of mulberry (Morrus alba L.) leaves, from 2017 to 2018, Nongsang 14 was used as a test material, the leaf length, leaf width, petiole length, petiole width and transverse diameter, petiole thickness and transverse diameter, petiole mass, leaf mass, number of kilogram leaves, and leaf net mass were investigated in the growing season to analyze the relationship of mulberry leaf characteristics. The results show that there is a highly positive correlation between leaf length and leaf width and leaf net mass. The petiole length, petiole width and transverse diameter, and petiole thickness and transverse diameter are significantly positively related to the leaf net mass. There are extremely significant differences between the correlation coefficient of leaf length, leaf width, leaf length + leaf width, leaf length × leaf width, petiole length, petiole width and transverse diameter, petiole thickness and transverse diameter, petiole mass, leaf mass, kilo leaf quantity and leaf net mass. Comparing the correlation coefficients of the quadratic curve equation and the straight line equation formed by the blade length and the net mass of the blade, respectively, it shows that it is more in line with the quadratic curve. The order of influence of each index on the leaf net quality is leaf mass, leaf number per kilogram, leaf width, leaf length, petiole mass, petiole thickness and transverse diameter, petiole width and transverse diameter, and petiole length. Mulberry orchard yield can be estimated by investigating indicators such as leaf width and leaf length.

Key words: The Morus alba L., leaf, size, quantity, regression analysis, Nongsang 14

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