在不同环境条件下用玉米生长模型预测优质蛋白玉米品种的物候期(英文)

Modeling of phenology for quality protein maize cultivars in different environments

传统农业研究方法的研究结果通常具有地域性 ,周期长 ,且投入大 ,解决这一问题较为理想的方法是利用作物的生长模型预测作物生长发育的过程。一个品种×施氮量的双因素试验在云南省农科院试验站 (北纬 2 5° ,东经 10 9° ,海拔 190 0m)进行 ,试验有 5个施氮水平 :分别是10 0 ,145,185(N3) ,2 30 ,和 2 70kg/ha ;3个参试种分别为 :Across 876 3、PozaRica 876 3和普通玉米墨白 1号。为了用CERES玉米生长模型预测栽培管理措施对不同品种生长发育的影响 ,在泰国北部清迈大学农学院的多熟种植中心 (北纬 18°4 7′ ,东经 99°57′ ,海拔 30 0m)进行品种×播种期的双因素试验 ,试验目的是确定品种的遗传参数。参试种为Across 876 3(QPM ) ,PozaRica 876 3(QPM )和Suwan 1,3个播种期分别是 1994年 12月 2 0日、 1995年 1月 5日和1995年 1月 2 0日。采用模型中遗传参数计算器 (GENCAL)计算出这 3个品种的遗传参数 ;在本研究中采用泰国获得的玉米品种的遗传参数对云南试验中两个品种的生长发育过程进行预测 。

Traditional agricultural research result is recognized as site specific,slow,and expensive.One alternative to solve this problem is to use modeling approach.A nitrogen×variety experiment was conducted in the Research Station of Yunnan Academy of Agriculture Science(25°N,Lat.,109°E Long.,1 900 msl.).Three were five nitrogen levels,i e.100,145,185,230,and 270 kgha -l .Three maize varieties,two were Quality Protein maize(QPM),were used,i e.,Across 8763,Poza Rica 7863,and normal maize Mobei 1.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′Lat.99°57′Long,300msl).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;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 simulate effects of planting dates on growth and development of different maize cultivars.This set of genetic coefficients was then used to simulated effects of management practices in Yunnan.The CERES-Maize model demonstrated acceptable ability to simulate phenology events,e g,silking,and physiological maturity dates. -