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Modern phenomics to empower holistic crop science,agronomy,and breeding research

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Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most modern crop phenomics use different sensors to collect reflective,emitted,and fluorescence signals,etc.,from plant organs at different spatial and temporal resolutions.Such multi-modal,high-dimensional data not only accelerates basic research on crop physiology,genetics,and whole plant systems modeling,but also supports the optimization of field agronomic practices,internal environments of plant factories,and ultimately crop breeding.Major challenges and opportunities facing the current crop phenomics research community include developing community consensus or standards for data collection,management,sharing,and processing,developing capabilities to measure physiological parameters,and enabling farmers and breeders to effectively use phenomics in the field to directly support agricultural production.

Crop phenomicsHigh-throughput phenotypingTraitsCrop designer breedingAgronomy

Ni Jiang、Xin-Guang Zhu

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Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing 100101,China

Center of Excellence for Molecular Plant Sciences,Chinese Academy of Sciences,Shanghai 200032,China

National Research and Development Program of Ministry of Science and Technology of ChinaNational Research and Development Program of Ministry of Science and Technology of ChinaNational Research and Development Program of Ministry of Science and Technology of ChinaStrategic Priority Research Program of the Chinese Academy of SciencesStrategic Priority Research Program of the Chinese Academy of SciencesStrategic Priority Research Program of the Chinese Academy of SciencesStrategic Priority Research Program of the Chinese Academy of SciencesNational Science Foundation of ChinaNational Key Research and Development Program of ChinaSTI2030-Major Projects

2020YFA09076002018YFA09006002019YFA09004600XDB27020105XDB37020104XDA24010203XDA0450202318702142023YFF10001002023ZD04076

2024

10.1016/j.jgg.2024.04.016

遗传学报
中国遗传学会 中国科学院遗传与发育生物学研究所

遗传学报

CSTPCD
影响因子：0.821
ISSN：1673-8527
年,卷(期)：2024.51(8)
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