Overwintering performance of bamboo leaves, and establishment of mathematical model for the distribution and introduction prediction of bamboos

Yufang Wu; Jing Li; Lixia Yu; Shuguang Wang; Zhuo Lv; Hao Long; Jingyu Zhai; Shuyan Lin; Yong Meng; Zhihua Cao; Hui Sun

doi:10.3389/fpls.2023.1255033

Overwintering performance of bamboo leaves, and establishment of mathematical model for the distribution and introduction prediction of bamboos

Front Plant Sci. 2023 Sep 8:14:1255033. doi: 10.3389/fpls.2023.1255033. eCollection 2023.

Authors

Yufang Wu^{1

2}, Jing Li^{1

2}, Lixia Yu^{1

2}, Shuguang Wang^{1

2

3}, Zhuo Lv^{1

2}, Hao Long^{1

2}, Jingyu Zhai⁴, Shuyan Lin⁵, Yong Meng⁶, Zhihua Cao⁷, Hui Sun⁷

Affiliations

¹ Faculty of Life Sciences, Southwest Forestry University, Kunming, China.
² Faculty of Bamboo and Rattan, Southwest Forestry University, Kunming, China.
³ Key Laboratory for Forest Resources Conservation and Use in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China.
⁴ Horticulture Team, Beijing Zizhu Park, Beijing, China.
⁵ Bamboo Research Institute, Nanjing Forestry University, Nanjing, China.
⁶ Bamboo Research Institute, Hunan Academy of Forestry, Changsha, China.
⁷ Bamboo Research Institute, Anhui Academy of Forestry, Hefei, China.

Abstract

Bamboo has great economic values and is used extensively in many industries, and their natural distribution range was divided into 12 zones in China according to the temperature of their geographical distribution in previous works. Different bamboo species had significantly different abilities in low-temperature tolerance, which need to be considered carefully during ex-situ introduction. In this paper, we observed and evaluated the low-temperature damage of 19 bamboo species in winter, and measured the physiological changes of bamboo leaves. A total of 3060 leaf samples were obtained from 102 core collections in 34 bamboo species from the 5 regions of Chinese mainland for anatomical comparison, in order to screen out the key anatomical indicators related to their low-temperature tolerance and to establish a mathematical prediction model for bamboo introduction. The results showed that the low-temperature resistance of clustered bamboos was generally lower than that of the scattered bamboos. The decreased temperature led to the constant decrease of net photosynthetic rate and transpiration rate, but the increase of soluble sugar content in all bamboo species. There was no dormancy for all bamboo species in winter. The temperate bamboos showed lower photosynthesis as compared to tropical bamboos in winter. The leaf shape of bamboos was closely related to their distribution. A total of 13 leaf indicators were screened and more suitable to estimate the low-temperature tolerant abilities of bamboos and to predict their distribution. The MNLR (multiple nonlinear regression) mathematical model showed the highest fitting degree and the optimal prediction ability in the potential northernmost introduction range of bamboos. This study lay a foundation for bamboo introduction, and could also reduce the economic losses caused by the wrong introduction.

Keywords: bamboo leaves; distribution area; introduction; low-temperature tolerance; mathematical prediction model; overwintering performance.

Grants and funding

This paper was funded by the National Key R and D Program of China (2021YFD2200503-4), National Natural Science Fund of China (32060379), Natural Science Foundation of Yunnan Province (202201AS070018), and Yunnan Revitalization Talent Support Program (YNWR-QNBJ-20180245). We also appreciate all the authors for their valuable works.