Hou Ying-Yu, Zhang Yan-Hong, Wang Liang-Yu, Lü Hou-Quan, Song Ying-Bo
National Meteorological Center, China Meteorological Administration, Beijing 100081, China.
Ying Yong Sheng Tai Xue Bao. 2013 Nov;24(11):3207-12.
Crop growth is a continuous and dynamic process, and thus, the optimal meteorological indices for crop growth also change continuously. In this paper, the estimation algorithms of the daily available precipitation and the temporal interpolation methods of meteorological indices for crop growth were developed, and the climatic suitability model at daily scale was established, which was tested by the spring maize data of agro-meteorological stations in Northeast China. The simulated climatic suitability had significantly positive correlations with the height and 100-grain mass of spring maize. The correlation coefficient (R2) between the climatic suitability and the spring maize height was over 0.58 at vegetative growth stage, and over 0.45 at reproductive growth stage. The established climatic suitability model at daily scale could objectively reflect the interactions between crop growth and meteorological factors at vegetative growth stage and reproductive growth stage.
作物生长是一个连续且动态的过程，因此，作物生长的最佳气象指标也在不断变化。本文开发了日有效降水量的估算算法以及作物生长气象指标的时间插值方法，并建立了日尺度的气候适宜性模型，该模型通过中国东北地区农业气象站的春玉米数据进行了检验。模拟的气候适宜性与春玉米的株高和百粒重显著正相关。在营养生长阶段，气候适宜性与春玉米株高之间的相关系数（R2）超过0.58，在生殖生长阶段超过0.45。所建立的日尺度气候适宜性模型能够客观地反映营养生长阶段和生殖生长阶段作物生长与气象因素之间的相互作用。
