Journal of Taiwan Agricultural Research

Author:Ming-Jen Fan, Chiu-Kai Wey, Ting-Rong Shu and I-Mei Huang

Abstract:

Eight crops of species, including rice, com, soybean, peanut, sesbania, rape, carpetgrass and sesame, were used to conduct the conjecture of the reducing curve model of seed moisture content in the seed drying room of NPGRC of TARI(T:18~20°C, RH:8~10%). We found that the regression curves using logarithmic equation (y=a+bln(x);x:treatment duration in days, y: seed moisture content, a: intercept, b: regression coefficient)were very significantly related to the regression coefficients of the actually investigated curves and these coefficients of determination (R2) were higher than 0.8. The results indicated it to be correct that the reducing ratio of seed moisture content in the drying room of NPGRC can be estimated by the logarithmic model of regression curves. In addition, we also used 3 crops as expenmental materials, containing rice, com and soybean, which represented the most numerous accessions stored in NPGRC. The purposes of this experiment were to appraise the logarithmic regression curves of seed moisture content and to examine these regression curves among varieties of the same crop to see whether different varieties of a crop can be combined to an average regression curve or not. According to the results, when the moisture content of treated seed is 12%, the test. varieties of rice, including Indica-type rice, glutinous Indica-type rice of long shape, glutinous Indica-type rice of round shape, glutinous Japonica-type rice and upland rice, could be combined to be a regression curve of seed moisture content: y= 9.1555-1.1898ln(x), R2=0.9826. Another combined regression curve of seed moisture content, y= 9.5751一1. 2581 ln(x), R2=0.9912, was composed of Japonica-type rice. Consequently, the question of whether their regression curves can be combined is related to Japanica type or Indica type or their seed chemical component. The test varieties of com used in the assay, the moisture content of seed could combine to be a regression curve as follow: y= ll .302-17. 182ln(x), R2=0.9807(i.m.c.=16%). Thus, the m01sture content reducing ratio of different varieties of com appears to be the same. In the test varieties of soybean, which the 100-grain weight are 5.50g to 19.llg could combine to be treated as a group and the regression curve of seed moisture content is: y= 6.8808 一 1.1373 ln(x), R2=0.9061(i.m.c.=14%). The variety of 100-grain weight under 5.50g had its own reducing regression curve of seed moisture content: y=7.3667-0.6959 ln(x), R2=0.8439. In addition, the variety of 100-grain weight above 19.llg also formed to be another own reducing regression curve of seed moisture content: y= 9.4171 一 1.700 4 ln(x), R2=0.9376. Therefore, 100-grain weight of seeds of soybean varieties shall influence whether these reducing regression curves of seed moisture content can be combined or not.

Key words:Rice, Com, Soybea . Seed moisture content, The drying room, Reducing regression curve of seed moisture content.

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