用CERES玉米生长模型预测优质蛋白玉米生物产量的形成
摘要: 在泰国北部清迈大学农学院的多种作物中心(北纬18°47＇，东经99°57＇，海拔300m)进行品种×播种期的双因素试验，用CERES玉米生长模型模拟栽培管理措施对不同品种的生长发育的影响。参试种为：优质蛋白玉米Across8763，Poza Rica 8763和普通玉米Suwan 1；播种期分别为1994年12月20日(PD1)、1995年1月5日(PD2)、1995年1月20日(PD3)。结果表明用CERES玉米模型模拟，试验3个品种与播种期无相关关系，对叶片氮百分含量模拟较为准确。但对叶片数、地上部分生物产量的模拟值高于实测值。
USE OF CERES- MAIZE MODEL TO PREDICT BIOMASS PRODUCTION OF QUALITY- PROTEIN MAIZE CULTIVARS
Abstract: A two- factor (cultivar × sowing date) experiment was carried out at the Research Station of the Multiple Cropping Center,Faculty of AgAgriculture, Chiang Mai University of Thailand (18°47＇N,99°57＇ E,alt.300m) to study the influence of agronmic practices on the growth and development different maize cultivars with the CERES Model. Two quality-protein maize cultivars,Across 8763 ans Poza Rica 8763, and a normal cultivar, Suwan 1, were sown on Dec. 20,1994 and Jan. 5 and Jan. 20,1995. The G enotype Coefficients Calculator (GENCAL) was used to determine a set of genetic coefficients of the three cultivsrs,which were then used to simulate the effects of agronmic prsctices in Thailand,and predict N cocontent in the leaves,leaf number and biomass production. The results showed that the model gave a farly sccuratte estimate of leaf N, and overestimated the leaf number and the biomass of the shoots of the Plants.
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