TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield-Reference-Cited by-同舟云学术

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TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield

Published:2024-07 Issue:7 Volume:5 Page:100975
ISSN:2590-3462
Container-title:Plant Communications
language:en
Short-container-title:Plant Communications

Author:

Li Jinlong,Zhang Dongfeng,Yang Feng,Zhang Qiusi,Pan Shouhui,Zhao Xiangyu,Zhang Qi,Han Yanyun,Yang Jinliang,Wang Kaiyi,Zhao Chunjiang

Funder

Beijing Postdoctoral Science Foundation

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference66 articles.

1. Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes;Abdollahi-Arpanahi;Genet. Sel. Evol.,2020

2. Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media;Albalawi;J. Big Data,2021

3. Accuracy of genomic selection for alfalfa biomass yield in different reference populations;Annicchiarico;BMC Genom.,2015

4. Genome-wide association mapping for yield and other agronomic traits in an elite breeding population of tropical rice (Oryza sativa);Begum;PLoS One,2015

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1. HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization;Evolving Systems;2024-08-27

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