Genome-wide atlas of rust resistance loci in wheat
J Tong, C Zhao, D Liu, DT Jambuthenne, M Sun… - Theoretical and Applied …, 2024 - Springer
Rust diseases, including leaf rust, stripe/yellow rust, and stem rust, significantly impact wheat
(Triticum aestivum L.) yields, causing substantial economic losses every year. Breeding and …
(Triticum aestivum L.) yields, causing substantial economic losses every year. Breeding and …
Genomic selection in plant breeding: Key factors shaping two decades of progress
A Alemu, J Åstrand, OA Montesinos-Lopez… - Molecular Plant, 2024 - cell.com
Genomic selection, the application of genomic prediction (GP) models to select candidate
individuals, has significantly advanced in the past two decades, effectively accelerating …
individuals, has significantly advanced in the past two decades, effectively accelerating …
Deep learning-empowered crop breeding: intelligent, efficient and promising
Crop breeding is one of the main approaches to increase crop yield and improve crop
quality. However, the breeding process faces challenges such as complex data, difficulties …
quality. However, the breeding process faces challenges such as complex data, difficulties …
Genomics‐assisted breeding: the next‐generation wheat breeding era
C Sun, H Hu, Y Cheng, X Yang, Q Qiao… - Plant …, 2023 - Wiley Online Library
Common wheat provides approximately 20% of the total dietary calorie intake of human
beings. Recent technological advances in whole‐genome sequencing and their application …
beings. Recent technological advances in whole‐genome sequencing and their application …
[HTML][HTML] Mechanisms underlying key agronomic traits and implications for molecular breeding in soybean
C Fang, H Du, L Wang, B Liu, F Kong - Journal of genetics and genomics, 2023 - Elsevier
Abstract Soybean (Glycine max [L.] Merr.) is an important crop that provides protein and
vegetable oil for human consumption. As soybean is a photoperiod-sensitive crop, its …
vegetable oil for human consumption. As soybean is a photoperiod-sensitive crop, its …
OPIA: an open archive of plant images and related phenotypic traits
Y Cao, D Tian, Z Tang, X Liu, W Hu… - Nucleic Acids …, 2024 - academic.oup.com
High-throughput plant phenotype acquisition technologies have been extensively utilized in
plant phenomics studies, leading to vast quantities of images and image-based phenotypic …
plant phenomics studies, leading to vast quantities of images and image-based phenotypic …
Machine learning for image-based multi-omics analysis of leaf veins
Y Zhang, N Zhang, X Chai, T Sun - Journal of Experimental …, 2023 - academic.oup.com
Veins are a critical component of the plant growth and development system, playing an
integral role in supporting and protecting leaves, as well as transporting water, nutrients, and …
integral role in supporting and protecting leaves, as well as transporting water, nutrients, and …
Application of machine learning algorithms and feature selection in rapeseed (Brassica napus L.) breeding for seed yield
Background Studying the relationships between rapeseed seed yield (SY) and its yield-
related traits can assist rapeseed breeders in the efficient indirect selection of high-yielding …
related traits can assist rapeseed breeders in the efficient indirect selection of high-yielding …
SoyDNGP: a web-accessible deep learning framework for genomic prediction in soybean breeding
P Gao, H Zhao, Z Luo, Y Lin, W Feng, Y Li… - Briefings in …, 2023 - academic.oup.com
Soybean is a globally significant crop, playing a vital role in human nutrition and agriculture.
Its complex genetic structure and wide trait variation, however, pose challenges for breeders …
Its complex genetic structure and wide trait variation, however, pose challenges for breeders …
Multi-omics assists genomic prediction of maize yield with machine learning approaches
C Wu, J Luo, Y Xiao - Molecular Breeding, 2024 - Springer
With the improvement of high-throughput technologies in recent years, large multi-
dimensional plant omics data have been produced, and big-data-driven yield prediction …
dimensional plant omics data have been produced, and big-data-driven yield prediction …