Jan Frederik Kreuze

This study models soil organic carbon in the Andes using machine learning with crop rotation data, finding that fallow frequency is a key predictor of SOC when soil data are excluded.

The paper identifies Rladg, a potato TIR-NLR receptor that confers broad-spectrum resistance to poleroviruses by recognizing conserved protease structures.

This study investigates how temperature affects the life-history traits and PVY transmission efficiency of Myzus persicae and identifies high-risk regions for PVY spread.

This study evaluates βhpmeh transgenic potato plants for resistance to bacterial wilt caused by Ralstonia solanacearum, finding reduced susceptibility correlated with βhpmeh gene expression.

The paper analyzes the genetic structure of Phytophthora infestans populations from South American countries, identifying clonal lineages and geographic distribution patterns.

This study uses UAV-derived multispectral imagery and machine learning to predict late blight severity in potato genotypes, showing improved accuracy over traditional methods.

The paper assesses the geographic risk of 27 pathogens and pests for four crops in the Great Lakes region under current and future climate conditions using machine learning models.

This study analyzes the genetic diversity and population structure of Phytophthora infestans in Guatemala and Honduras using molecular markers, identifying four main clonal lineages and highlighting the predominance of EU_13_A2.

This study models the temperature-dependent development of the parasitoid Dolichogenidea gelechiidivoris to identify suitable release areas for biological control of Tuta absoluta.

This study examines the thermal biology of aphids and their virus transmission rates, projecting shifts in virus spread due to climate change.

This study describes the development of Encarsia tabacivora in Bemisia tabaci nymphs under laboratory conditions, finding thelytokous parthenogenesis and superparasitism.