Prediction of silking date of corn [Zea mays] from the multiple regression formula with day length and average temperature as variables
2002
Ueda, M. (Fukuoka-ken. Agricultural Research Center, Chikushino (Japan))
The silking date of corn was predicted from the multiple regression formula (MRF) with day length and the average temperature within one month after sowing as variables. The cultivars used were G4321A, G4810A and P3160, which are early, medium and late varieties, respectively, and domestic variety Ko-3. For the first three cultivars, the MRF with the average temperatures on day 20 and 30 after sowing (T20, T30) and the day lengths on day 0 and day 10 after sowing (P0, P10) as variables, provided the most accurate prediction, and the standard deviation of the estimated days from sowing to silking was less than 2.7 days in all varieties. In Ko-3, on the other hand, the standarddeviation of the silking days estimated from MRF with the temperature and day length as variables was as large as 3.7, and the prediction accuracy was inferior. However, the prediction accuracy was improved by using the number of days from January 1 to the sowing day as the third variable of MRF in addition to T20 and P10. The standard deviation of the silking days estimated from the improved MRF was 2.9 days. The use of MRF, though the variables used differed with the cultivar, enabled the accurate prediction of silking day in all the four cultivars, indicating that this method is practically useful.
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