Work

High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

Year: 2020

Type: article

Abstract: Crop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput genotyping is feasible at a low cost, high-throughput crop phenotyping methods and data analytical capacities need to be improved.

Source: IEEE Geoscience and Remote Sensing Magazine

DOI: 10.1109/mgrs.2020.2998816

Authors: Xiuliang Jin, Pablo J. Zarco-Tejada, Urs Schmidhalter, Matthew P. Reynolds, Malcolm J. Hawkesford, Rajeev K. Varshney, Tao Yang, Chengwei Nie, Zhenhai Li, Bo Ming, Yonggui Xiao, Yongdun Xie, Shaokun Li

Institutions: Shihezi University, The University of Melbourne, ETH Zurich, University of Nottingham, University of Edinburgh, Chaudhary Charan Singh University, China Agricultural University, Chinese Academy of Agricultural Sciences, Zhejiang University, Xinjiang Agricultural University, Hebei Agricultural University, Institute of Crop Sciences

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

Funders: National Natural Science Foundation of China, Chinese Academy of Agricultural Sciences, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council, National Key Research and Development Program of China

Awards: G3387329379, G3635957831, G7514515371, G8374101951

OpenAlex ID: W3039389508

FWCI: 20.46

Cites: 335

Cited by: 288

Related to: 10