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Relationship and Distribution of In-Field Dry-Down and Equilibrium in Maize Grain Moisture Content
Agricultural and Forest Meteorology ( IF 5.6 ) Pub Date : 2021-04-01 , DOI: 10.1016/j.agrformet.2021.108409
Shang Gao , Bo Ming , Lu-lu Li , Xue-bo Yin , Jun Xue , Ke-ru Wang , Rui-zhi Xie , Shao-kun Li

The selection of the appropriate harvest time and moisture content (MC) is very important for maize (Zea Mays L.) production, and selection is an essential step that balances the yield and comprehensive benefits. In this study, the process and final MC following a grain dry-down of sixteen maize hybrids was observed in 2017 and 2018. The Guggenheim-Anderson-de Boer (GAB) model, which is commonly used to describe the equilibrium moisture content (Meq) under controlled conditions, was used to evaluate the relationship between the field Meq and the final MC. The results showed that the MC reached a stable level after a long dry-down period in the field, indicating that an equilibrium was present between the grain and the atmosphere. The MC at the equilibrium state represented two characteristics, a “hysteresis effect” and a “convergence effect”, which were as follows: the change in MC always lagged behind the Meq in the atmosphere; and the MC fluctuated continuously with the Meq but could not reach its limit. The time of the “hysteresis effect” was estimated to be approximately 2-4 days. The time to reach equilibrium varied greatly in different maize hybrids, and it was related to the growth period and dry-down characteristics. Moreover, the various climatic types contributed to diverse Meq values, and the humid climate had a higher Meq than the dry-cold climate. The distribution of Meq values and the drying days on which the maize grain moisture content decreased from 30% to 25% (and 20%), guided the threshold for the delayed harvest of maize, as also estimated in various maize ecological areas in China. The optimal harvest time were significantly different in various regions due to different Meq values. Therefore, we suggest that the estimation of the Meq could be an important indicator for predicting the grain dry-down and harvest management strategies for a region.

更新日期:2021-04-01
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