A China-UK joint phenomics consortium to dissect the basis of crop stress resistance in the face of climate change

中英联合表型组学联盟剖析作物面对气候变化的抗逆性基础

• 批准号: BB/R02118X/1
• 负责人: John Doonan
• 金额: $ 3.9万
• 依托单位: Aberystwyth University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FR02118X%2F1
• 关键词: China; UK; joint; phenomics; consortium

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

GTR目前尚未用于所有资助研究的摘要。这通常是因为提交提案时不需要摘要，但可能是因为它包含了敏感信息，例如个人详细信息。

项目成果

FFD: Fast Feature Detector

FFD：快速特征检测器

• DOI: 10.48550/arxiv.2012.00859
• 发表时间: 2020
• 作者: Ghahremani M

Deep Segmentation of Point Clouds of Wheat.

• DOI: 10.3389/fpls.2021.608732
• 发表时间: 2021
• 期刊: Frontiers in plant science
• 影响因子: 5.6
• 作者: Ghahremani M;Williams K;Corke FMK;Tiddeman B;Liu Y;Doonan JH
• 通讯作者: Doonan JH

Water-Saving Traits Can Protect Wheat Grain Number Under Progressive Soil Drying at the Meiotic Stage: A Phenotyping Approach

• DOI: 10.1007/s00344-019-09956-3
• 发表时间: 2019-12-01
• 期刊: JOURNAL OF PLANT GROWTH REGULATION
• 影响因子: 4.8
• 作者: Faralli, Michele;Williams, Kevin S.;Kettlewell, Peter S.
• 通讯作者: Kettlewell, Peter S.

Direct and accurate feature extraction from 3D point clouds of plants using RANSAC

• DOI: 10.1016/j.compag.2021.106240
• 发表时间: 2021-06-15
• 期刊: COMPUTERS AND ELECTRONICS IN AGRICULTURE
• 影响因子: 8.3
• 作者: Ghahremani, Morteza;Williams, Kevin;Doonan, John H.
• 通讯作者: Doonan, John H.