Seed equilibrium moisture is an important indicator for evaluating the dynamic changes of seed moisture absorption or moisture desorption. The laws of the seed moisture absorption or moisture desorption under different storage conditions were studied using two maize (
Zea mays L.) cultivars and two wheat (
Triticum aestivum L.) cultivars with different initial moisture contents (IMC). Simulated models were established accordingly for each cultivar and verified with independent data. The moisture desorption was observed in 8.0% IMC
maize seeds under the conditions of 15°C and RH < 18.8%, 25°C and RH < 48.1%, 40°C and RH < 48.1%; or in 13.5% and 18.0% IMC seeds under the conditions of 15°C and RH < 48.1%, 25°C and RH < 48.1%, 40°C and RH < 48.1%; and moisture absorption was observed under other storage conditions. Wheat seeds stored under 15°C, 25°C, and 40°C showed moisture desorption when RH ≤ 18. 8% for 8.0% IMC seeds or RH ≤ 48.1% for 18.0% IMC seeds; the 13.5% IMC seeds stored under the conditions of 25°C and RH < 18.8%, 25°C and RH < 18.8%, 40°C and RH < 18.8% showed moisture desorption; and wheat seeds stored under other storage conditions presentedmoisture absorption. The safe water contents (SWCs) of wheat seed were 13% under 15°C and RH = 53.0%, 11% under 25°C and RH = 48.0%, and 9% under 40°C and RH = 43.0%. The SWCs of maize seed were 14% under 15°C and RH = 55.0%, 12% under 25°C and RH = 50.0%, and 9% under 40°C and RH = 40.0%. The equilibrium moisture contents (EMCs) of wheat seed were higher than the corresponding SWCs under
the same condition of 15°C and RH > 50.0%, 25°C and RH > 50.0%, 40°C and RH > 48.0%, and the equilibrium moisture contents (EMCs) of maize seed were higher than the corresponding SWCs under the same condition of 15°C and RH > 50.0%, 25°C and RH > 50.0%, 40°C and RH > 47.0%. The predictive models of equilibrium time (
d) for seeds were simulated on the basis of IMC (
x), RH (
y), and temperature (
z). The equations were as follows:
d = 35.34 + 4.32
x - 0.28
y - 0.35
z -0.031
xy - 0.012
xz - 0.0011
yz + 0.003
y2 for maize cultivar Zhengdan 958,
d = 39.76 + 2.35
x - 0.39
y - 0.27
z - 0.022
xy - 0.014
xz - 0.0057
yz + 0.008
y2 for maize cultivar Nongda 108,
d = 25.69 + 7.65
x - 0.27
y - 0.89
z - 0.12
xy - 0.07
xz - 0.007
yz + 0.006
y2+ 0.04
z2 for wheat cultivar Shannong 15, and
d = 46.67 + 0.39
x - 0.28
y - 1.72
z - 0.006
yz + 0.006
y2+ 0.017
z2 for wheat cultivar Tainong 18. The predictive values based on these models were highly consistent with the tested values, indicating the good applicabilities of these models.