Jacqueline Batley

Genome-wide association study (GWAS) combined with transcriptome analysis reveals the key genes underlying the production of seed oil, mono and poly-unsaturated fatty acids in Brassica napus

Image‐based crop disease detection using machine learning

Integration of genome-wide association studies, metabolomics, and transcriptomics reveals phenolic acid- and flavonoid-associated genes and their regulatory elements under drought stress in rapeseed flowers

Dissection of quantitative trait nucleotides and candidate genes associated with agronomic and yield-related traits under drought stress in rapeseed varieties: integration of genome-wide association study and transcriptomic analysis

Technological Development and Advances for Constructing and Analyzing Plant Pangenomes

Genomics‐based plant disease resistance prediction using machine learning

Modelling of gene loss propensity in the pangenomes of three <i>Brassica</i> species suggests different mechanisms between polyploids and diploids

Targeted Knockout of <i>BnTT2</i> Homologues for Yellow-Seeded <i>Brassica napus</i> with Reduced Flavonoids and Improved Fatty Acid Composition

Speed breeding is a powerful tool to accelerate crop research and breeding

Genome-wide Association Study Identifies New Loci for Resistance to Leptosphaeria maculans in Canola

Prioritization of candidate genes in “QTL-hotspot” region for drought tolerance in chickpea (Cicer arietinum L.)

Early allopolyploid evolution in the post-Neolithic <i>Brassica napus</i> oilseed genome

The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes

Genome-Wide Delineation of Natural Variation for Pod Shatter Resistance in Brassica napus

<scp>SNP</scp> markers‐based map construction and genome‐wide linkage analysis in <i>Brassica napus</i>