Automated Author Profile

Yao, Minjie

Current S-Index

1.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

13.5%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Dataset S1.xlsx

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
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.23974317January 2023

Dataset S1.xlsx

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
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.23974317.v1January 2023

CCDC 982162: Experimental Crystal Structure Determination

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
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.5517/cc11z0npJanuary 2014