Maize high yield estimates per mesozone

*The data shows maize yield estimates allocated to mesozones. Yield estimates were derived from Schulze R.E. and Walker N.J. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). *This dataset contains Maize, Zea mays L. in South Africa and is the country`s most important field and grain crop. Objectives of the study was to simulate maize yields, and their inter-annual, at a spatial resolution of Quaternary Catchments for 12 different combinations of three plant dates, viz. 15 October, 15 November and 15 December. This was done to evaluate which hybrid lengths and plant dates give the highest yields irrespective of plant dates and hybrid lengths respectively and also which hybrid lengths and plant dates give the lowest coefficients of variation (%) irrespective of plant dates and hybrid lengths respectively.* 本数据集展示了分配至中分区（mesozones）的玉米产量估算值。该估算值源自Schulze R.E.与Walker N.J.（2007）的研究成果，随后结合从CSIR地理空间分析平台（Geospatial Analysis Platform, GAP）获取的基础中分区图层，将产量估算值匹配至各中分区。 * 本数据集涵盖南非境内的玉蜀黍（Zea mays L.，即普通玉米），它是南非最为核心的大田粮食作物。本研究以第四纪流域（Quaternary Catchments）为空间分辨率，针对3个播种日期（即10月15日、11月15日与12月15日）的12种不同组合，模拟玉米产量及其年际变化。开展上述模拟的核心目标为：分别评估两类场景下的最优组合——其一，在不考虑播种日期的前提下，何种杂交品种生育期长度与播种日期组合可实现最高产量；其二，在不考虑杂交品种生育期长度的前提下，何种组合可获得最低的变异系数（%）。