A regional analysis model of maize kernel moisture

文献类型： 外文期刊

第一作者： Li, Lulu

作者： Li, Lulu;Ming, Bo;Gao, Shang;Wang, Keru;Hou, Peng;Jin, Xiuliang;Zhou, Xianlin;Bai, Shijie;Xie, Ruizhi;Li, Shaokun;Chu, Zhendong;Zhang, Wanxu;Huang, Zhaofu;Li, Hongyan;Li, Shaokun;Zhang, Zhentao

作者机构：

期刊名称：AGRONOMY JOURNAL （ 影响因子：2.24； 五年影响因子：2.829 ）

ISSN： 0002-1962

年卷期： 2021 年 113 卷 2 期

页码：

收录情况： SCI

摘要： With the popularization of late-maturing and high-yielding maize (Zea mays L.) hybrids, high kernel moisture concentration at the usual harvest time has resulted in increased kernel breakage and additional drying costs. To achieve low kernel moisture at harvest in China's maize-growing areas, there is a need for the selection of fast dry-down hybrids and the prediction of the ideal harvest time. During 2014-2017, the time-series kernel moisture concentrations of three maize hybrids were measured in the field in three major maize-producing regions in China. Our goal was to accurately predict maize kernel dry-down in the field. We found that the Logistic Power model M = 90/[1 + (T/a)(b)] could be used to accurately predict the entire dry-down process of maize kernels across hybrids and regions (concordance correlation coefficient, 0.884-0.996; RMSE, 2.76-5.16%; R-2, .943-.986; and coefficient of residual mass, -0.09-0.14), where M is the kernel moisture concentration (wet basis), a and b are parameters that reflect the dry-down characteristics of the hybrids, and T is the thermal time (degrees C d) from silking based on mean daily temperature over the periods of grain-filling and grain-drying. This work provides a new and convenient model for predicting kernel moisture concentration and evaluating the dry-down characteristics of hybrids using parameters a and b.

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