مدلسازی واکنش سبز شدن ارقام گندم به دما در شرایط مزرعه

The timing of seedling emergence greatly affects growth and yield of wheat (Triticum aestivum L.) and a good growth model should predict it accurately. To do this, 8 wheat cultivars were sown at 12 sowing dates and the number of days from sowing to emergence were recorded. Beta, Segmented and Dent-like models were applied to describe the relationship between emergence rate and temperature. Root Mean Square Error (RMSE), coefficient of determination (R) and correlation coefficient (r) were used to detect the perfect. Results indicated that not statistically significant difference between genotypes Cardinal temperatures and the response of wheat emergence to temperature is best described by Beta Function. Accordingly, Cardinal temperatures Estimated by this model were 0.22 °C for base temperature, 27.16 °C for optimum temperature and the value of 40 °C was assumed as ceiling temperature. Estimation of biological days cultivars requirement by beta model in sowing depth 3cm showed a 6.2 days. The quantitative information provided by this study can be used in prediction of emergence wheat cultivars under diverse temperature conditions.