Photosynthetic Performance and Yield Losses of Winter Rapeseed (Brassica napus L. var. napus) Caused by Simulated Hail

Author:

Dąbrowski Piotr1ORCID,Jełowicki Łukasz2,Jaszczuk Zuzanna M.3ORCID,Kryvoviaz Olena3,Kalaji Hazem M.4ORCID

Affiliation:

1. Department of Environmental Management, Institute of Environmental Engineering, Warsaw University of Life Sciences—SGGW, Nowoursynowska St. 159, 02-787 Warsaw, Poland

2. OPEGIEKA Sp. z o.o., Aleja Tysiąclecia 11, 82-300 Elbląg, Poland

3. Faculty of Agriculture and Ecology, Warsaw University of Life Sciences—SGGW, Nowoursynowska St. 159, 02-787 Warsaw, Poland

4. Department of Plant Physiology, Institute of Biology, Warsaw University of Life Sciences—SGGW, Nowoursynowska St. 159, 02-787 Warsaw, Poland

Abstract

Winter oilseed rape (Brassica napus L.), Europe’s foremost oilseed crop, is significantly impacted by hailstorms, leading to substantial yield reductions that are difficult to predict and measure using conventional methods. This research aimed to assess the effectiveness of photosynthetic efficiency analysis for predicting yield loss in winter rapeseed subjected to hail exposure. The aim was to pinpoint the chlorophyll fluorescence parameters most affected by hail stress and identify those that could act as non-invasive biomarkers of yield loss. The study was conducted in partially controlled conditions (greenhouse). Stress was induced in the plants by firing plastic balls with a 6 mm diameter at them using a pneumatic device, which launched the projectiles at speeds of several tens of meters per second. Measurements of both continuous-excitation and pulse-modulated-amplitude chlorophyll fluorescence were engaged to highlight the sensitivity of the induction curve and related parameters to hail stress. Our research uncovered that some parameters such as Fs, Fm’, ΦPSII, ETR, Fo, Fv/Fm, and Fv/Fo measured eight days after the application of stress had a strong correlation with final yield, thus laying the groundwork for the creation of new practical protocols in agriculture and the insurance industry to accurately forecast damage to rapeseed crops due to hail stress.

Funder

European Regional Development Fund

Publisher

MDPI AG

Reference36 articles.

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3. Rusteika, M., and Skinulienė, L. (2023). Expectations of the Participants of the Crop Insurance System and Their Implementation. Agriculture, 13.

4. WMO (World Meteorological Organization) (2018). Guidelines on the Defintion and Monitoring of Extreme Weather and Climate Events. Task Team Defin Extrem Weather clim Events, WMO.

5. Felix, M.O., and Kennedy, P. (2007, January 14–18). Correlation of polarimetric radar hail signature with MODIS satellite ground truth data. Proceedings of the 87th AMS Annual Meeting, San Antonio, TX, USA.

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