Afzal Irfan, Akram Muhammad, Javed Talha, Ali Faryal, Kalaji Hazem M, Wróbel Jacek, Telesiński Arkadiusz, Mojski Jacek, Ahmed Mohamed A A
Seed Physiology Laboratory, Department of Agronomy, University of Agriculture, Faisalabad, Pakistan.
Department of Plant Physiology, Institute of Biology, Warsaw University of Life Sciences SGGW, Warsaw, Poland.
Front Plant Sci. 2022 Aug 10;13:961378. doi: 10.3389/fpls.2022.961378. eCollection 2022.
Predicting the germination behavior of parthenium weed against different conditions of temperature and osmotic stress is helpful for studying the growth and development history of parthenium in different ecological contexts. Sustainable weed control strategies based on population-based threshold (PBT) models are profitable tools for crop planting date, herbicide application, and tillage operation time. To predict the emergence of parthenium by using thermal time (TT), hydrotime (HT), and hydrothermal time (HTT) analyses, seeds were exposed to varying constant temperatures (5, 10, 15, 20, 25, 30, 35, and 40°C) and water potentials (- 0.25, - 0.5, - 0.75, and - 1.0 MPa) under a controlled environment. Parthenium seeds showed better responses in terms of higher germination percentage and lower germination time at 20 and 25°C. The use of the germination modeling approach proposed the base temperature (7.2°C), optimum temperature (20°C), and ceiling temperature (42.8°C) for this weed. Moreover, germination behavior was also studied at different water potentials under different temperature regimes (10, 20, and 30°C). The HTT model predicted higher germination percentages (82.8 and 54.8%) of parthenium seeds at water potentials from 0 to -0.25 MPa, respectively, under a temperature of 20°C, and also identified a base water potential (Ψb) of - 0.54 MPa for germination. In conclusion, the use of the HTT modeling approach is helpful for predicting the emergence response of parthenium in a changing climate and ultimately supportive in time scheduling of parthenium weed management in cropping systems.
预测银胶菊在不同温度和渗透胁迫条件下的萌发行为，有助于研究其在不同生态环境中的生长发育历程。基于种群阈值（PBT）模型的可持续杂草控制策略，是用于确定作物播种日期、除草剂施用时间和耕作作业时间的有效工具。为了通过热时间（TT）、水时间（HT）和水热时间（HTT）分析来预测银胶菊的出苗情况，在可控环境下，将种子置于不同的恒定温度（5、10、15、20、25、30、35和40℃）和水势（-0.25、-0.5、-0.75和-1.0MPa）条件下。银胶菊种子在20℃和25℃时表现出较高的发芽率和较短的发芽时间。采用发芽建模方法得出了该杂草的基础温度（7.2℃）、最适温度（20℃）和上限温度（42.8℃）。此外，还研究了在不同温度 regime（10、20和30℃）下不同水势时的萌发行为。HTT模型预测，在20℃温度下，银胶菊种子在水势从0到-0.25MPa时的发芽率分别较高（82.8%和54.8%），并确定了发芽的基础水势（Ψb）为-0.54MPa。总之，使用HTT建模方法有助于预测气候变化条件下银胶菊的出苗反应，并最终有助于安排种植系统中银胶菊杂草管理的时间。
