@article{Fanglun:267798,
      recid = {267798},
      author = {JIN Fanglun and YANG Shengte and LUO  Chaobin and LI Ming  and HU Shiye and ZHANG Fawei and YUE Xian and WANG  Wenxue},
      title = {Correlation between Different Morus alba L. Leaf Nodes and  the Change in Leaf Size or Mass},
      journal = {Asian Agricultural Research},
      address = {2017-11-20},
      number = {1812-2018-831},
      month = {Nov},
      year = {2017},
      abstract = {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.},
      url = {http://ageconsearch.umn.edu/record/267798},
      doi = {https://doi.org/10.22004/ag.econ.267798},
}