BreedingAIDB: A database integrating crop genome-to-phenotype paired data with machine learning tools applicable to breeding-Reference-Cited by-同舟云学术

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BreedingAIDB: A database integrating crop genome-to-phenotype paired data with machine learning tools applicable to breeding

Published:2024-07 Issue:7 Volume:5 Page:100894
ISSN:2590-3462
Container-title:Plant Communications
language:en
Short-container-title:Plant Communications

Author:

Shen Zijie,Shen Enhui,Yang Kun,Fan Zuoqian,Zhu Qian-Hao,Fan Longjiang,Ye Chu-Yu

Funder

Zhejiang University

Publisher

Elsevier BV

Reference10 articles.

1. Optuna: A next-generation hyperparameter optimization framework;Akiba,2019

2. The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems;Arnaud;Patterns,2020

3. Machine learning in agriculture: from silos to marketplaces;Bayer;Plant Biotechnol. J.,2021

4. CropGS-Hub: a comprehensive database of genotype and phenotype resources for genomic prediction in major crops;Chen;Nucleic Acids Res.,2024

5. Plant genotype to phenotype prediction using machine learning;Danilevicz;Front. Genet.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Molecular Regulation of Shoot Architecture in Soybean;Plant, Cell & Environment;2024-09-10

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