Mul-PheG2P: decoupled learning and prediction–space fusion enables robust and interpretable multi-phenotype genomic prediction

2026-08-05

0

PRE

AI

J

Jiahui Wang

张

张勇 (Yong Zhang) *

B

Bo Li

X

Xinglin Piao

X

Xiangyu Zhao

D

Dongfeng Zhang

A

Aiwen Wang

B

Bob Zhang

K

Kaiyi Wang *

DOI：10.1111/nph.71461

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Abstract

En 中文

Data characteristics and architecture of the Mul-PheG2P framework.

Keywords:

deep learning

genomic selection

genotype-to-phenotype

maize (Zea mays)

multi-phenotype prediction

predictive space fusion

tomato (Solanum lycopersicum)

wheat (Triticum aestivum)