The past decade has witnessed rapid developments in gene discovery, biological big data
(BBD), artificial intelligence (AI)‐aided technologies, and molecular breeding. These …

ABSTRACT Soybean (Glycine max [L.] Merr.) serves as a major source of protein and oil for
humans and animals. Shoot architecture, the spatial arrangement of a plant's above‐ground …

Due to current climate change events, different abiotic stresses such as drought, salinity,
extreme temperature (heat and cold), waterlogging, hypoxia/anoxia, metals/metalloids …

Highlights•Causal genes with CMs must be identified to make crop breeding more
precise.•There are strategies to overcome GWAS failure in CM identification.•Post-GWAS …

In the face of climate change and the growing global population, there is an urgent need to
accelerate the development of high-yielding crop varieties. To this end, vast amounts of …

Due to its excellent performance in processing large amounts of data and capturing complex
non‐linear relationships, deep learning has been widely applied in many fields of plant …

Yield is one of the core goals of crop breeding. By predicting the potential yield of different
breeding materials, breeders can screen these materials at various growth stages to select …

Traditional machine learning (ML) and deep learning (DL) methods for genome prediction
often face challenges due to the imbalance between the limited number of samples (n) and …