日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Gene based markers improve precision of genome-wide association studies and accuracy of genomic predictions in rice breeding

基于基因的标记提高了全基因组关联研究的精度和水稻育种中基因组预测的准确性

Chandrappa Anilkumar #, T P Muhammed Azharudheen #, Rameswar Prasad Sah #, Nagenahalli Chandrappa Sunitha, Basavantraya N Devanna, Bishnu Charan Marndi, Bhaskar Chandra Patra

Understanding natural genetic variation for grain phytic acid content and functional marker development for phytic acid-related genes in rice

了解水稻籽粒植酸含量的自然遗传变异及植酸相关基因的功能标记开发

Tp, Muhammed Azharudheen; Kumar, Awadhesh; Anilkumar, Chandrappa; Sah, Rameswar Prasad; Behera, Sasmita; Marndi, Bishnu Charan

Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification

通过QTL-meta分析和候选基因鉴定来了解水稻籽粒重量的复杂遗传结构

Anilkumar, C; Sah, Rameswar Prasad; Muhammed Azharudheen, T P; Behera, Sasmita; Singh, Namita; Prakash, Nitish Ranjan; Sunitha, N C; Devanna, B N; Marndi, B C; Patra, B C; Nair, Sunil Kumar