A. P. Kovaleski

This study investigates how different temperature regimes affect cold acclimation in endodormant grapevine buds using physiological and transcriptomic analyses.

The paper develops NYUS.2, an automated machine learning model for real-time simulation of grapevine freezing tolerance in North America, outperforming previous models with lower error.

The paper argues that cold hardiness should be evaluated alongside time to budbreak in dormancy studies to avoid misinterpretation of phenological data.

This paper develops a new cold hardiness prediction model for grapevines, NYUS.1, which outperforms the existing WAUS.2 model by reducing RMSE by up to 37%.

The paper uses X-ray phase contrast imaging to study freezing patterns and volume changes in Vitis spp. buds during cold hardiness, finding freezing propagates from center to tip and correlates with volume increase during deacclimation.

This study examines how temperature affects deacclimation rates in different Vitis species, linking these rates to dormancy status and budbreak timing.