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Zhang, Guiquan

South China Agricultural University
0000-0003-3322-2753

Current S-Index

4.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

28.2%

Average FAIR Score per dataset

Total Citations

2

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

Additional file 1 of Fine mapping of two grain chalkiness QTLs sensitive to high temperature in rice

Additional file 1: Table S1. Phenotypes of grain chalkiness in HJX74 and SSSLs. Table S2. Markers developed to detect the substitution segments of SSSLs. Table S3. Substitution segments of SSSLs. Table S4. Phenotypes of agronomic traits in SSSLs. Table S5. Average temperatures for 30 days after flowering of rice in two cropping seasons. Table S6. The grain shape of 11–09 and its NILs in the SCS of 2018. Table S7. The grain shape of HP67–11 and its NILs in the SCS of 2019.

Authors

  • Weifeng Yang ;
  • Jiayan Liang ;
  • Qingwen Hao ;
  • Luan, Xin ;
  • Quanya Tan ;
  • Shiwan Lin ;
  • Haitao Zhu ;
  • Guifu Liu ;
  • Zupei Liu ;
  • Suhong Bu ;
  • Shaokui Wang ;
  • Zhang, Guiquan
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.14361995.v1January 2021

Additional file 1 of Fine mapping of two grain chalkiness QTLs sensitive to high temperature in rice

Additional file 1: Table S1. Phenotypes of grain chalkiness in HJX74 and SSSLs. Table S2. Markers developed to detect the substitution segments of SSSLs. Table S3. Substitution segments of SSSLs. Table S4. Phenotypes of agronomic traits in SSSLs. Table S5. Average temperatures for 30 days after flowering of rice in two cropping seasons. Table S6. The grain shape of 11–09 and its NILs in the SCS of 2018. Table S7. The grain shape of HP67–11 and its NILs in the SCS of 2019.

Authors

  • Weifeng Yang ;
  • Jiayan Liang ;
  • Qingwen Hao ;
  • Luan, Xin ;
  • Quanya Tan ;
  • Shiwan Lin ;
  • Haitao Zhu ;
  • Guifu Liu ;
  • Zupei Liu ;
  • Suhong Bu ;
  • Shaokui Wang ;
  • Zhang, Guiquan
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.14361995January 2021

Additional file 1 of Substitution Mapping of Two Closely Linked QTLs on Chromosome 8 Controlling Grain Chalkiness in Rice

Additional file 1: Table S1. Phenotypes of chalky traits in SSSLs. Table S2. Markers developed to detect the substitution segments of SSSLs. Table S3. Substitution segments of SSSLs. Table S4. Phenotypes of agronomic traits in SSSLs. Table S5. Average temperatures for 30 days after flowering of rice in two cropping seasons.

Authors

  • Yang, Weifeng ;
  • Xiong, Liang ;
  • Liang, Jiayan ;
  • Hao, Qingwen ;
  • Luan, Xin ;
  • Tan, Quanya ;
  • Lin, Shiwan ;
  • Zhu, Haitao ;
  • Liu, Guifu ;
  • Liu, Zupei ;
  • Bu, Suhong ;
  • Wang, Shaokui ;
  • Zhang, Guiquan
0 Citations0 Mentions56% FAIR1.4 Dataset Index
10.6084/m9.figshare.16726796January 2021

Additional file 1 of Substitution Mapping of Two Closely Linked QTLs on Chromosome 8 Controlling Grain Chalkiness in Rice

Additional file 1: Table S1. Phenotypes of chalky traits in SSSLs. Table S2. Markers developed to detect the substitution segments of SSSLs. Table S3. Substitution segments of SSSLs. Table S4. Phenotypes of agronomic traits in SSSLs. Table S5. Average temperatures for 30 days after flowering of rice in two cropping seasons.

Authors

  • Yang, Weifeng ;
  • Xiong, Liang ;
  • Liang, Jiayan ;
  • Hao, Qingwen ;
  • Luan, Xin ;
  • Tan, Quanya ;
  • Lin, Shiwan ;
  • Zhu, Haitao ;
  • Liu, Guifu ;
  • Liu, Zupei ;
  • Bu, Suhong ;
  • Wang, Shaokui ;
  • Zhang, Guiquan
0 Citations0 Mentions56% FAIR0.6 Dataset Index
10.6084/m9.figshare.16726796.v1January 2021

Additional file 1 of Substitution Mapping of the Major Quantitative Trait Loci Controlling Stigma Exsertion Rate from Oryza glumaepatula

Additional file 1: Table S1. Stigma exsertion rate of the 9 SSSLs in 5 cropping seasons. Table S2. Analysis of variance based on a fixed-effect model of the 9 SSSLs in 5 cropping seasons. Table S3. Developed markers used to detect the substituted segments of the SSSLs. Table S4. Substituted segments detected by markers in the SSSLs. Table S5. Phenotypes of agronomic traits in the SSSLs.

Authors

  • Tan, Quanya ;
  • Zou, Tuo ;
  • Zheng, Mingmin ;
  • Ni, Yuerong ;
  • Luan, Xin ;
  • Li, Xiaohui ;
  • Yang, Weifeng ;
  • Yang, Zifeng ;
  • Zhu, Haitao ;
  • Zeng, Ruizhen ;
  • Liu, Guifu ;
  • Wang, Shaokui ;
  • Fu, Xuelin ;
  • Zhang, Guiquan
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.12457013January 2020

Additional file 1 of Substitution Mapping of the Major Quantitative Trait Loci Controlling Stigma Exsertion Rate from Oryza glumaepatula

Additional file 1: Table S1. Stigma exsertion rate of the 9 SSSLs in 5 cropping seasons. Table S2. Analysis of variance based on a fixed-effect model of the 9 SSSLs in 5 cropping seasons. Table S3. Developed markers used to detect the substituted segments of the SSSLs. Table S4. Substituted segments detected by markers in the SSSLs. Table S5. Phenotypes of agronomic traits in the SSSLs.

Authors

  • Tan, Quanya ;
  • Zou, Tuo ;
  • Zheng, Mingmin ;
  • Ni, Yuerong ;
  • Luan, Xin ;
  • Li, Xiaohui ;
  • Yang, Weifeng ;
  • Yang, Zifeng ;
  • Zhu, Haitao ;
  • Zeng, Ruizhen ;
  • Liu, Guifu ;
  • Wang, Shaokui ;
  • Fu, Xuelin ;
  • Zhang, Guiquan
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.12457013.v1January 2020