用CERES玉米生长模型预测优质蛋白玉米生物产量的形成

USE OF CERES-MAIZE MODEL TO PREDICT BIOMASS PRODUCTION OF QUALITY-PROTEIN MAIZE CULTIVARS

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°5 7′,海拔 30 0m)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Across876 3,PozaRica 876 3和普通玉米Suwan 1;播种期分别为 1994年 12月 2 0日 (PD1)、1995年 1月 5日 (PD2 )、1995年 1月2 0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。

A two-factor (cultivar × sowing date) experiment was carried out at the Research Station of the Multiple Cropping Center,Faculty of Agriculture,Chiang Mai University of Thailand (18°47′N,99°57′ E,alt.300m) to study the influence of agronomic practices on the growth and development of 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 Genotype Coefficients Calculator (GENCAL) was used to determine a set of genetic coefficients of the three cultivars,which were then used to simulate the effects of agronomic practices in Thailand,and predict N content in the leaves,leaf number and biomass production.The results showed that the model gave a fairly accurate estimate of leaf N,and overestimated the leaf number and the biomass of the shoots of the plants.