Soil temperature, texture, water content and sowing depth are effective factors on the estimation of emergence time. This research aimed to test the Beta model for its adequacy in predicting the time of emergence for sugar beet. The Beta growth model as a phenological model have been used for evaluating the time of seedling emergences under both controlled environments in laboratory and field conditions. An experiment was conducted both in the laboratory with five soil textures, three sowing depths, five soil water contents and ten constant soil temperatures, under field conditions on five sowing dates (20 February, 28 March, 19 April, 10 May, and 31 May) and three sowing depths. The results demonstrated that the Beta model can predict the time of emergence. Based on the root mean square error (RMSE), the time of emergence estimated by the Beta model was in high agreement with the time of emergence measured in the laboratory. Estimation accuracy was reduced slightly by the Beta model under field conditions. The accuracy of the Beta model was influenced by the sowing date under field conditions. So, on the first and second sowing dates (with low air temperature), the estimation of time of emergence by the model was lower and on the fourth and the fifth sowing date (with warmer air temperature), was more than the duration measured. Estimation accuracy was increased by the Beta model under field conditions using soil temperature. In conclusion, the Beta model can predict the time to emergence of sugar beet seedlings in different levels of soil texture and soil water content under field conditions, and with that, the proper planting date for sugar beet seeds to overcome weeds in different soil water content can be predicted.

土壤温度、质地、含水量和播种深度是估计出苗时间的有效因素。本研究旨在测试 Beta 模型在预测甜菜出苗时间方面的充分性。Beta 生长模型作为物候模型已被用于评估在实验室和田间条件下受控环境下幼苗出苗的时间。在实验室中，在五个播种日期（2 月 20 日、3 月 28 日、4 月 19 日、5 月 10 日和 5 月 31 日）的田间条件下，在实验室中进行了具有五种土壤质地、三种播种深度、五种土壤含水量和十种恒定土壤温度的试验。 ) 和三个播种深度。结果表明，Beta 模型可以预测出苗时间。基于均方根误差 ( RMSE))，Beta 模型估计的出现时间与实验室测量的出现时间高度一致。Beta 模型在现场条件下略微降低了估计精度。Beta 模型的准确性受田间条件下播种日期的影响。因此，在第一个和第二个播种日期（气温较低），模型对出苗时间的估计较低，而在第四个和第五个播种日期（气温较高），则超过了测量的持续时间。Beta 模型在使用土壤温度的现场条件下提高了估计精度。总之，Beta 模型可以预测田间条件下不同土壤质地和土壤含水量水平下甜菜幼苗的出苗时间，由此，