Correlation between Different Morus alba L. Leaf Nodes and the Change in Leaf Size or Mass

This paper aimed to explore the correlation between Morus alba L. leaf node and its size or mass change and provide a theoretical basis for the development of scientific Morus alba L. cultivation technology. During 2016-2017, the correlation between Morus alba L. leaf node and its size or mass change was investigated and researched. Results showed that through the correlation coefficient analysis, there was a weakly positive correlation between the leaf node and some indicators such as leaf length÷leaf width and petiole length, there was a weakly negative correlation between the leaf node and some indicators such as leaf width,( leaf length+ leaf width), ( leaf length×leaf) width and leaf mass, and there was a weakly negative correlation between the leaf node and the other indicators; there was a highly positive correlation between the leaf mass and some indicators such as Morus alba L. leaf length, leaf width, (leaf length+ leaf width) and (leaf length×leaf width), there was a significantly positive correlation between the leaf mass and some indicators such as petiole transverse diameter in width and petiole mass, and there was a weakly positive correlation between the leaf mass and some indicators such as petiole transverse diameter in thickness. In terms of significant level of difference, it was found that there was not significant difference in the correlation coefficients between the leaf nodes on the Morus alba L. shoots and some indicators such as leaf length, leaf width, (leaf length+ leaf width), (leaf length×leaf width) and leaf mass; there was an extremely significant difference in the correlation coefficients between the leaf mass and some indicators such as Morus alba L. leaf length, leaf width,( leaf length+ leaf width),( leaf length×leaf width), petiole transverse diameter in width and petiole mass; there was not significant difference in the correlation coefficients between the leaf mass and the other indicators. The regression analysis was performed on the leaf node and leaf length, leaf width, (leaf length+leaf width), (leaf length×leaf width),( leaf length÷leaf width), petiole length , petiole diameter in width, petiole diameter in thickness, petiole mass and leaf mass. Significance F values were 0.4864, 0.1995, 0.2888, 0.3004, 0.2350, 0.2407, 0.8925, 0.5227, 0.7022 and 0.2000, respectively, that is, there was an extremely significant difference between Morus alba L. leaf node and petiole diameter in width, there was a significant difference between Morus alba L. leaf node and petiole mass, and there was not significant difference between Morus alba L. leaf node and the other indicators. The comparative analysis of quadratic curve regression equation and linear regression equation was performed on some indicators such as leaf length, and it was found that the R value between the leaf node and petiole diameter in width was in line with the logarithmic curve regression equation, and the other R values of quadratic curve regression equation was larger than the other R values of linear regression equation, indicating that different Morus alba L. leaf nodes, leaf length, leaf mass and other indicators were in line with the quadratic curve regression equation. It was concluded that by investigating the leaf node on the Morus alba L. shoots and regression equation, we could predict the leaf size, leaf mass and other indicators, and we could take the leaf node on the Morus alba L. shoots as one of the main factors affecting the Morus alba L. leaf size and mass.


Subject(s):
Issue Date:
Nov 20 2017
Publication Type:
Journal Article
Record Identifier:
http://ageconsearch.umn.edu/record/267798
ISSN:
1943-9903
Language:
English
Published in:
Asian Agricultural Research, Volume 09, Issue 11
Page range:
70-74




 Record created 2018-02-04, last modified 2018-04-16

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