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

Unlocking chickpea flour potential: AI-powered prediction for quality assessment and compositional characterisation

释放鹰嘴豆粉的潜力:人工智能驱动的质量评估和成分表征预测

Zia, Ali; Husnain, Muhammad; Buck, Sally; Richetti, Jonathan; Hulm, Elizabeth; Ral, Jean-Philippe; Rolland, Vivien; Sirault, Xavier

Chickpea Proteome Analysis Reveals Genotype-Dependent Variations Associated with Seed Traits

鹰嘴豆蛋白质组分析揭示了与种子性状相关的基因型依赖性变异

Bose, Utpal; Buck, Sally; Sirault, Xavier; Bahmani, Mahya; Byrne, Keren; Stockwell, Sally; McWilliam, Sean; Colgrave, Michelle; Juhász, Angéla; Ral, Jean-Philippe

Ten simple rules to ruin a collaborative environment

十条简单的规则就能毁掉协作环境

Lawrence-Dill, Carolyn J; Allscheid, Robyn L; Boaitey, Albert; Bauman, Todd; Buckler, Edward S 4th; Clarke, Jennifer L; Cullis, Christopher; Dekkers, Jack; Dorius, Cassandra J; Dorius, Shawn F; Ertl, David; Homann, Matthew; Hu, Guiping; Losch, Mary; Lyons, Eric; Murdoch, Brenda; Navabi, Zahra-Katy; Punnuri, Somashekhar; Rafiq, Fahad; Reecy, James M; Schnable, Patrick S; Scott, Nicole M; Sheehan, Moira; Sirault, Xavier; Staton, Margaret; Tuggle, Christopher K; Van Eenennaam, Alison; Voas, Rachael

Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in Brassica Species

用于预测芸薹属植物开花期耐热性和耐旱性的非破坏性表型组学工具

Chen, Sheng; Guo, Yiming; Sirault, Xavier; Stefanova, Katia; Saradadevi, Renu; Turner, Neil C; Nelson, Matthew N; Furbank, Robert T; Siddique, Kadambot H M; Cowling, Wallace A

Leaf Photosynthetic Parameters Related to Biomass Accumulation in a Global Rice Diversity Survey

全球水稻多样性调查中与生物量积累相关的叶片光合参数

Qu, Mingnan; Zheng, Guangyong; Hamdani, Saber; Essemine, Jemaa; Song, Qingfeng; Wang, Hongru; Chu, Chengcai; Sirault, Xavier; Zhu, Xin-Guang

Diurnal Solar Energy Conversion and Photoprotection in Rice Canopies

水稻冠层昼夜太阳能转换与光保护

Meacham, Katherine; Sirault, Xavier; Quick, W Paul; von Caemmerer, Susanne; Furbank, Robert

"Rolled-upness": phenotyping leaf rolling in cereals using computer vision and functional data analysis approaches

“卷曲性”:利用计算机视觉和功能数据分析方法对谷类作物叶片卷曲进行表型分析

Sirault, X R R; Condon, A G; Wood, J T; Farquhar, G D; Rebetzke, G J