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Development of a Threshold Model to Predict Germination of Populus tomentosa Seeds after Harvest and Storage under Ambient Condition

机译:在环境条件下收获和贮藏后预测毛白杨种子萌发的阈值模型的建立

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摘要

Effects of temperature, storage time and their combination on germination of aspen (Populus tomentosa) seeds were investigated. Aspen seeds were germinated at 5 to 30°C at 5°C intervals after storage for a period of time under 28°C and 75% relative humidity. The effect of temperature on aspen seed germination could not be effectively described by the thermal time (TT) model, which underestimated the germination rate at 5°C and poorly predicted the time courses of germination at 10, 20, 25 and 30°C. A modified TT model (MTT) which assumed a two-phased linear relationship between germination rate and temperature was more accurate in predicting the germination rate and percentage and had a higher likelihood of being correct than the TT model. The maximum lifetime threshold (MLT) model accurately described the effect of storage time on seed germination across all the germination temperatures. An aging thermal time (ATT) model combining both the TT and MLT models was developed to describe the effect of both temperature and storage time on seed germination. When the ATT model was applied to germination data across all the temperatures and storage times, it produced a relatively poor fit. Adjusting the ATT model to separately fit germination data at low and high temperatures in the suboptimal range increased the models accuracy for predicting seed germination. Both the MLT and ATT models indicate that germination of aspen seeds have distinct physiological responses to temperature within a suboptimal range.
机译:研究了温度,贮藏时间及其组合对白杨种子发芽的影响。在28°C和75%相对湿度下存储一段时间后,白杨种子在5至30°C的温度下以5°C的间隔发芽。温度对白杨种子发芽的影响无法通过热时间(TT)模型有效地描述,该模型低估了5°C的发芽率,而对10、20、25和30°C的发芽时间进程却预测不佳。修改后的TT模型(MTT)假设发芽率和温度之间呈两相线性关系,因此在预测发芽率和百分率方面更为准确,并且比TT模型具有更高的正确性。最大寿命阈值(MLT)模型准确地描述了存储时间对所有发芽温度下种子发芽的影响。建立了结合了TT和MLT模型的老化热时间(ATT)模型,以描述温度和储存时间对种子发芽的影响。将ATT模型应用于所有温度和存储时间下的发芽数据时,拟合度相对较差。调整ATT模型以分别适应次优范围内的低温和高温发芽数据,可以提高模型预测种子发芽的准确性。 MLT模型和ATT模型均表明,白杨种子的发芽在次优范围内对温度具有明显的生理反应。

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