Automated Author ProfileYao, Minjie
Yao, Minjie
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.3 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Paddy fields, as the largest anthropogenic wetlands on Earth, face a high risk of micronutrient loss through surface runoff and leaching due to their frequent irrigation-drainage cycles, as well as removal with crop harvest. While micronutrient’s losses largely impede biological nitrogen fixation (BNF) in soils, agricultural practices that retain micronutrients and thus increase BNF in paddy soils remain underexplored. Using a long-term (40 years) field experiment, we showed that manure and straw inputs substantially increased the content and bioavailability of micronutrients, including molybdenum (Mo) and vanadium (V), compared to the soil without fertilization or with mineral fertilization only. The total content and bioavailability of Mo and V had a strong correlation with microbial necromass and short-range ordered minerals. Metagenomic sequencing analysis further indicated that the content and bioavailability of micronutrients were strongly correlated with the abundance of the key N-fixing genera (i.e., Azospirillum and Bradyrhizobium). Unexpectedly, structural equation modeling (SEM) identified that microbial necromass exerted the strongest control on N-fixing genera, highlighting an underappreciated role of microbial necromass as a reservoir of micronutrients. Based on micronutrient’s bioavailability and metagenomic sequencing, we conclude that micronutrients are the key factor for BNF in paddy soils, offering significant implications for managing BNF in paddy soils.
Authors
- Yu, GH ;
- Xu, Li-Xin ;
- Wang, Fei ;
- Yao, Yao ;
- Yao, Minjie ;
- Kuzyakov, Yakov
Paddy fields, as the largest anthropogenic wetlands on Earth, face a high risk of micronutrient loss through surface runoff and leaching due to their frequent irrigation-drainage cycles, as well as removal with crop harvest. While micronutrient’s losses largely impede biological nitrogen fixation (BNF) in soils, agricultural practices that retain micronutrients and thus increase BNF in paddy soils remain underexplored. Using a long-term (40 years) field experiment, we showed that manure and straw inputs substantially increased the content and bioavailability of micronutrients, including molybdenum (Mo) and vanadium (V), compared to the soil without fertilization or with mineral fertilization only. The total content and bioavailability of Mo and V had a strong correlation with microbial necromass and short-range ordered minerals. Metagenomic sequencing analysis further indicated that the content and bioavailability of micronutrients were strongly correlated with the abundance of the key N-fixing genera (i.e., Azospirillum and Bradyrhizobium). Unexpectedly, structural equation modeling (SEM) identified that microbial necromass exerted the strongest control on N-fixing genera, highlighting an underappreciated role of microbial necromass as a reservoir of micronutrients. Based on micronutrient’s bioavailability and metagenomic sequencing, we conclude that micronutrients are the key factor for BNF in paddy soils, offering significant implications for managing BNF in paddy soils.
Authors
- Yu, GH ;
- Xu, Li-Xin ;
- Wang, Fei ;
- Yao, Yao ;
- Yao, Minjie ;
- Kuzyakov, Yakov
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Yue, Zhifang ;
- Chen, Zhenna ;
- Yao, Minjie ;
- Wang, Haili ;
- Li, Gang