Schattman, R.E.; Smart, A.; Birkel, S.; Jean, H.; Barai, K.; Zhang, Y.-J. Strawberry Growth under Current and Future Rainfall Scenarios. Water2022, 14, 313.
Schattman, R.E.; Smart, A.; Birkel, S.; Jean, H.; Barai, K.; Zhang, Y.-J. Strawberry Growth under Current and Future Rainfall Scenarios. Water 2022, 14, 313.
Abstract
It is well established that the interacting effects of temperature and precipitation will alter agroecological systems on a global scale. These shifts will influence the fitness of specialty crops, specifically strawberries (Fragaria x ananassa), an important crop in the Northeastern United States. In this study, four precipitation scenarios were developed that are representative of current and probable-future growing season precipitation patterns. Using a precipitation simulator, we tested these scenarios on potted day neutral strawberries. This study generated four primary results: (1) though treatments received different amounts of precipitation, little difference was observed in soil volumetric water content or temperature. However, treatments designed to simulate future conditions were more likely those designed to simulate current conditions to have higher nitrate-in-leachate (N-leachate) concentrations; (2) neither total precipitation nor seasonable distribution were associated with foliar or root disease pressure; (3) while there was a slightly higher chance that photosynthetic potential and capacity would be higher in drier conditions, little difference was observed in the effects on chlorophyll concentration, and no water stress was detected in any treatment; and (4) leaf biomass was likely more affected by total rather than seasonal distribution of precipitation, but interaction between changing rainfall distribution and seasonal totals is likely to be an important driver of root biomass development in the future.
Keywords
Climate change; agroecology; Fragaria x ananassa; precipitation; rainfall simulation
Subject
LIFE SCIENCES, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
