Impacts of projected elevated temperature on estimated chilling accumulation and bud break of rabbiteye blueberries
Lawas, L. M.; Rossi, G.; Salazar Gutierrez, M.; Tian, D.; Leisner, C.
Show abstract
Climate change poses a significant threat to perennial fruit crops, including blueberries, by altering temperature-dependent developmental processes such as dormancy and bud break. This study investigates the projected impacts of mid-21st century warming on chilling accumulation and phenological development in rabbiteye blueberry (Vaccinium virgatum) cultivars Krewer and Titan. Using downscaled climate projections from 20 global climate models under the RCP 8.5 scenario, we estimated future temperature trends for a key southeastern U.S. blueberry production region. We quantified changes in chilling hours, chilling portions, and freeze event probabilities between historical (1981-2000) and projected (2041-2070) periods. Results indicate a substantial reduction in chilling accumulation--chilling hours decreased by 66.6% and chilling portions by nearly half--alongside a delayed onset and shortened duration of chilling periods. Despite warming, freezing events are still expected during critical phenological windows, potentially increasing frost damage risk. Growth chamber experiments simulating ambient and elevated temperature regimes revealed significant cultivar-specific shifts in the timing and rate of bud break and bloom stages. Logistic models developed from these data provide predictive tools for assessing phenological responses under future climates. These findings highlight the vulnerability of rabbiteye blueberry to climate-induced dormancy disruption and underscore the need for adaptive management strategies and cultivar selection to sustain productivity in a warming climate.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- UV reflectance in crop remote sensing: Assessing the current state of knowledge and extending research with strawberry cultivars. 94%
- Evaluation of Conditional Treatment Effect of Salt Stress on Tomato Sugar Content Using Causal Machine Learning: A Pilot Study 93%
- Targeting Enhanced Digestibility: Prioritizing Low Pith Lignification to Complement low p-Coumaric Acid content as environmental stress intensity increase 92%
Similar papers in this journal
- Integrating Load-Cell Lysimetry and Machine Learning for Prediction of Daily Plant Transpiration 95%
- Deciphering transcriptomic signatures explaining the phenotypic plasticity of non-heading lettuce genotypes under artificial light conditions 93%
- Green Index: a widely accessible method to quantify greenness of photosynthetic organisms 93%
Similar papers in this journal
- Cold hardiness-informed budbreak reveals role of freezing temperatures and daily fluctuation in chill accumulation model 96%
- Combining modelling and experimental approaches to assess the feasibility of developing rice-oil palm agroforestry system 94%
- Integrating cold hardiness and deacclimation resistance demonstrates a conserved response to chilling accumulation in grapevines. 94%
Similar papers in this journal
- An integrative process-based model for biomass and yield estimation of hardneck garlic (Allium sativum) 96%
- Photoperiodic Flowering Response of Essential Oil, Grain, and Fiber Hemp (Cannabis sativa L.) Cultivars 94%
- Phenotypic Variation from Waterlogging in Multiple Perennial Ryegrass Varieties under Climate Change Conditions 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.