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Genomic prediction vs. gene-based crop models: a case study on rice trait prediction.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 24 Aug 2026

Zhang Jinhan, Tang Weijie, Ma Hongwei, Yan Wenliang, Athanasiadis Ioannis N, Zhang Shaoyuan, Liu Leilei, Liu Bing, Xiao Liujun, Zhu Yan, Cao Weixing, Zhang Yunhui, Tang Liang

Abstract excerpt

Conventional breeding for ideotypes in target environments remains challenging due to genotype-by-environment interactions and the genetic complexity of key agronomic traits. Traditional multi-environment field trials are costly and time-consuming, limiting rapid genetic gain. These challenges highlight the need for digital tools to support rice breeding. However, two major approaches, genomic prediction (GP) and...

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Crops, Agricultural
Gene-Environment Interaction
Genome, Plant
Genomics
Oryza

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Prediction Algorithms

Quantitative Trait Loci

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PMID: 42635772
DOI: 10.1007/s00122-026-05342-2

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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