Hybrid Deep Learning Approaches for Improved Genomic Prediction in Crop Breeding

Hybrid Deep Learning Approaches for Improved Genomic Prediction in Crop Breeding

Genomic selection plays a crucial role in breeding programs designed to improve quantitative traits, particularly considering the limitations of traditional methods in terms of accuracy and efficiency. Through the integration of genomic data, breeders are able to obtain more accurate predictions of...

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Bibliographic Details
Main Authors: Ran Li, Dongfeng Zhang, Yanyun Han, Zhongqiang Liu, Qiusi Zhang, Qi Zhang, Xiaofeng Wang, Shouhui Pan, Jiahao Sun, Kaiyi Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agriculture
Subjects:
CNN
hybrid models
LSTM
phenotypic prediction
ResNet
Online Access:https://www.mdpi.com/2077-0472/15/11/1171
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