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

Advanced technologies for reducing greenhouse gas emissions from rice fields: Is hybrid rice the game changer?

减少水稻田温室气体排放的先进技术:杂交水稻能否带来变革?

Hosseiniyan Khatibi, Seyed Mahdi; Adviento-Borbe, Maria Arlene; Dimaano, Niña Gracel; Radanielson, Ando M; Ali, Jauhar

A study of the vernalization requirements of mountain rye (Secale strictum syn. S. montanum) may help explain low grain yields of perennial cereals compared to wheat

对山地黑麦(Secale strictum syn. S. montanum)春化需求的研究或许有助于解释多年生谷类作物籽粒产量低于小麦的原因。

Innes, Peter J; Newell, Matthew T; Pembleton, Keith G; Hayes, Richard C; Radanielson, Ando M

Integrated root phenotypes for improved rice performance under low nitrogen availability

整合根系表型以提高低氮条件下水稻产量

Ajmera, Ishan; Henry, Amelia; Radanielson, Ando M; Klein, Stephanie P; Ianevski, Aleksandr; Bennett, Malcolm J; Band, Leah R; Lynch, Jonathan P

Steady agronomic and genetic interventions are essential for sustaining productivity in intensive rice cropping

持续的农艺和遗传改良对于维持集约化水稻种植的生产力至关重要。

Ladha, Jagdish K; Radanielson, Ando M; Rutkoski, Jessica Elaine; Buresh, Roland J; Dobermann, Achim; Angeles, Olivyn; Pabuayon, Irish Lorraine B; Santos-Medellín, Christian; Fritsche-Neto, Roberto; Chivenge, Pauline; Kohli, Ajay

Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions

利用S型函数和分段线性函数描述不同水稻基因型对盐胁迫的生理响应

Radanielson, Ando M; Angeles, Olivyn; Li, Tao; Ismail, Abdelbagi M; Gaydon, Donald S

Modeling salinity effect on rice growth and grain yield with ORYZA v3 and APSIM-Oryza

利用ORYZA v3和APSIM-Oryza模型模拟盐度对水稻生长和籽粒产量的影响

Radanielson, A M; Gaydon, D S; Li, T; Angeles, O; Roth, C H

From ORYZA2000 to ORYZA (v3): An improved simulation model for rice in drought and nitrogen-deficient environments

从 ORYZA2000 到 ORYZA (v3):一种改进的干旱和缺氮环境下水稻生长模拟模型

Li, Tao; Angeles, Olivyn; Marcaida, Manuel 3rd; Manalo, Emmali; Manalili, Mervin Pogs; Radanielson, Ando; Mohanty, Samarendu