Simon Griffiths

This study investigates the relationship between flowering time and staygreen traits in wheat, finding that late heading staygreen lines show increased yield under stress, but staygreen benefits are limited by source-sink dynamics.

This paper uses CRISPR/Cas9, base editing, and prime editing to generate Rht-1 variants in diverse wheat landraces, reducing plant height and creating agronomically useful traits.

This study develops an optimized Agrobacterium-mediated wheat transformation protocol using GRF4-GIF1, enabling efficient, genotype-independent transformation across multiple wheat cultivars.

The paper identifies distinct rhizosphere microbiome profiles in ancestral bread wheat landraces compared to elite varieties, highlighting genetic links to microbial community composition.

This study shows that extending stem elongation duration in wheat increases grain number and weight, with independent genetic factors affecting timing and yield components.

The paper develops a high-density SNP genotyping array for wheat using whole genome skim sequencing and a novel optimization approach, showing improved performance in GWAS and CNV analysis.

The paper identifies Stb15, a lectin receptor-like kinase gene conferring resistance to Septoria tritici blotch in wheat, through GWAS and functional validation.

The paper identifies and dissects a QTL complex on chromosome 3A in wheat that controls height, heading date, and grain yield, showing they are genetically independent with distinct physiological effects.

The paper constructs a genetic map for Kazakh bread wheat using KASP SNP markers to identify genes associated with agronomic traits.

The paper tracks allelic frequency changes in wheat composite cross populations under different farming systems and finds natural selection towards wild-type alleles for plant height and phenology.

The paper identifies a major QTL and marker for high arabinoxylan fibre in white wheat flour using crosses with high and average AX cultivars.

The paper analyzes recombination patterns in hexaploid wheat, identifies genes controlling recombination and gene conversion, and highlights a novel RecQ helicase gene involved in gene conversion.

CropQuant provides an automated, scalable platform for field crop phenotyping, enabling trait measurements and genotype-phenotype-environment analysis through machine learning.