Testing of Maize Production Technology by Crop Models in Enhancing Maize Production Efficiency in Soil Series Group 4, Nakhonsawan Province

Abstract

This study aimed to assess the effectiveness of employing crop models to enhance Maize production efficiency in soil series group 4 at Nakhon Sawan Province. The research focused on developing maize production technology using crop models. The methodology involved simulating maize production to evaluate yields under diverse management conditions. Furthermore, critical management factors were explored using the decision tree model technique to pinpoint a technology set conducive to efficient maize production. Significant adjustments involved augmenting nitrogen phosphorus and potassium chemical fertilize informed by soil analysis values. In October to December, planting occurred with a maize population of 10,666 to 14,222 plants per rai, utilizing DEKALB 9979C or certified commercial maize varieties. Subsequently, the developed technology underwent testing with 10 farmers, comparing it against conventional farming methods. Carried out from October 2023 to March 2024 in Lat Yao District, Nakhon Sawan Province. The results revealed statistically significant differences in 15 % moisture of maize yields, with the test method yielding an average of 1,196 kilograms per rai, compared to 1,028 kilograms per rai for farmers' methods. Moreover, the test method demonstrated higher yields, with an increase of 168 kilograms per rai, representing a 16.34 percent improvement. In terms of production costs, the test method exhibited an average cost of 3,509 baht per rai, with an decrease 133 baht per rai representing a 3.79 percent lower than the average farmer's method. Regarding income, the test method generated an average of 13,376 baht per rai, with an increase of 2,327 baht per rai marking a 21.06 percent increase compared to farmers' methods. When evaluating net income, the test method yielded an average of 9,867 baht per rai, with an increase of 2,440 baht per rai marking a 32.85 percent higher than farmers' methods. The benefic cost ratio (BCR) for the test method was 3.82, surpassing the 3.04 ratio for farmers' methods, indicative of a superior return on investment. These findings underscore the potential of crop models to optimize sweet corn production and enhance profitability for farmers in Nakhon Sawan Province.