Bin Li

Dr. Bin Li


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 July 2023 in Agronomy
Verified
Journal Article
Open access
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NLNa Liu
Na Liu
FGFenghui Guo
Fenghui Guo
BLBin Li
Bin Li
ZJzeyao jing
zeyao jing
WBWuyun Bai
Wuyun Bai
XHXiang-Yang Hou
Xiang-Yang Hou
Leymus chinensis is important for ecological restoration and stock farming in Eurasia. In the context of climate change, excavating L. chinensis germplasm resources with excellent ecological functional traits is important to resist grassland degradation and promote the restoration of degraded grassland ecosystems. In this study, we used 42 L. chinensis germplasm resources (LC01–LC42) from different geographical sources to perform a multidimensional comprehensive evaluation of drought tolerance, rhizome space expansion, and soil improvement abilities. (1) LC07, LC15, LC18, and LC19 exhibited excellent ecological functional traits and could be used in breeding for ecological restoration. They were mainly from eastern and central Mongolia and central Inner Mongolia. (2) Principal component analysis showed that eight principal components with eigenvalues ≥1 were extracted from 26 traits of L. chinensis. The cumulative contribution rate was 80.551%. (3) There was a significant positive correlation between the F value and longitude and a significant negative correlation of the F value with latitude. L. chinensis germplasms from high longitudes and low altitudes may exhibit better comprehensive performance. (4) Plant height, leaf number, tiller number, malonaldehyde, chlorophyll content, dry weight on the ground, maximum one-direction extended distance, and organic matter can be used as key indices to comprehensively evaluate L. chinensis germplasm resources.

BLBin Li
Bin Li
GRGuohua Ren
Guohua Ren
XHXiang-Yang Hou
Xiang-Yang Hou
XAXiaotian An
Xiaotian An
GLGuanhua Lv
Guanhua Lv
Due to differences in the soil environment and grassland management measures, the change characteristics of soil microbial entropy and soil comprehensive quality in different types of grassland may vary significantly. In this study, the spatial variation characteristics of grassland soil microbial entropy under shallow plowing and nutrient addition measures were studied using a networking experimental platform established in a temperate meadow steppe, typical steppe, and desert steppe in northern China. The grassland soil quality was comprehensively evaluated to provide a theoretical basis for the scientific and reasonable management of grasslands under global climate change. The results show that in the meadow steppe, shallow plowing and nutrient addition significantly decreased the soil microbial biomass carbon and microbial entropy in the region, resulting in a decrease in the comprehensive score of soil quality. In the typical steppe, due to the influence of shallow tillage measures, the microbial biomass of the grassland soil in the region was higher than that of the control group and its two treatments, and the comprehensive score of soil quality was ranked first among the four treatments. In the desert steppe, the interaction of shallow plowing and nutrient addition significantly increased the soil microbial entropy in the region. Under the nutrient addition measures, the soil microbial entropy of the desert steppe showed a downward trend. In addition, the soil C/N ratio of the desert grassland under nutrient addition measures increased significantly, and the comprehensive score of soil quality ranked first among the four treatments as the microbial entropy decreased significantly.