作物学报2002,Vol.28Issue(5):628-632,5.
在不同环境条件下优质蛋白玉米品种的物候期模型
Modeling of Phenology for Quality Protein Maize Cultivars under Different Environments
摘要
Abstract
Traditional agricultural research result is recognized as site specific, slow, and expensive. An alternative to solve this problem is to use modeling approach. A nitrogen×variety experiment was conducted in the Research Station of Yunnan Academy of Agricultural Sciences (25°N Lat., 109°E Long., 1900 msl.). There were five nitrogen levels, i.e. 100, 145, 185, 230, and 270 kg ha-1. Three maize varieties, two quality protein maize (QPM), i.e., Across 8763, Poza Rica 8763, and one normal maize Mobei 1, were used. In order to simulate the effects of management practice on growth and development of different maize cultivars by using the Crop-Environment Resource Synthesis (CERES) -Maize model in Northern Thailand, one varieties×planting dates experiment was conducted in the Research Station of the Multiple Cropping Center, Faculty of Agriculture, Chiang Mai University (18°47′N Lat., 99°57′E Long, 300 msl.). The experiment was conducted to generate data set for use in genetic coefficients determination. There were three Planting-date levels: December 20, 1994, January 5, 1995, and Januany 20, 1995. Three maize cultivars were used, Across 8763(QPM), Poza Rica 8763 (QPM), and Suwan 1. The Genotype Coefficients Calculator (GENCAL) was used to determine a set of genetic coefficients for the three cultivars. The CERES-Maize model satisfactorily simulated effects of planting dates on growth and development of different maize cultivars. This set of genetic coefficients was then used to simulate effects of management practices in Yunnan. The CERES-Maize model demonstrated acceptable ability to simulate phenology events, e.g, silking, and physiological maturity dates.关键词
优质蛋白玉米/预测/物候期Key words
Quality protein maize/Modeling/Phenology分类
农业科技引用本文复制引用
番兴明,ATTACHAIJintrawet..在不同环境条件下优质蛋白玉米品种的物候期模型[J].作物学报,2002,28(5):628-632,5.基金项目
this research was funded by the Ford Foundation. ()