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FreezeNet:A Lightweight Model for Enhancing Freeze Tolerance Assessment and Genetic Analysis in Wheat

Fujun Sun Mou Yin Shusong Zheng Shengwei Ma Hong-Qing Ling Fei He Ni Jiang

Plant Phenomics2025，Vol.7Issue(2)：P.362-374,13.

Plant Phenomics2025，Vol.7Issue(2)：P.362-374,13.DOI:10.1016/j.plaphe.2025.100061

FreezeNet:A Lightweight Model for Enhancing Freeze Tolerance Assessment and Genetic Analysis in Wheat

Fujun Sun ¹Mou Yin ¹Shusong Zheng ²Shengwei Ma ³Hong-Qing Ling ³Fei He ⁴Ni Jiang²

作者信息

1. Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing,100101,China University of Chinese Academy of Sciences,Beijing,100101,China
2. Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing,100101,China
3. Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing,100101,China Yazhou Bay National Laboratory,Sanya,572024,Hainan,China
4. Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing,100101,China University of Chinese Academy of Sciences,Beijing,100101,China Centre of Excellence for Plant and Microbial Science(CEPAMS),JIC-CAS,Beijing,100101,China
折叠

摘要

关键词

Deep learning/Freeze tolerance/GWAS/Image-based phenotyping/Wheat(Triticum aestivum L.)/Yellow vegetation fraction

分类

农业科技

引用本文复制引用

Fujun Sun,Mou Yin,Shusong Zheng,Shengwei Ma,Hong-Qing Ling,Fei He,Ni Jiang..FreezeNet:A Lightweight Model for Enhancing Freeze Tolerance Assessment and Genetic Analysis in Wheat[J].Plant Phenomics,2025,7(2):P.362-374,13.

基金项目

This work was supported by the National Key Research and Development Program of China(2023YFF1000100) （2023YFF1000100）

the Biological Breeding-National Science and Technology Major Project(2023ZD04076). （2023ZD04076）

Plant Phenomics

ISSN：2097-0374

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