春玉米群体净同化率(NAR)动态变化特征及定量化分析

对吉林省桦甸地区春玉米群体NAR动态变化进行系统的试验研究,探讨不同玉米品种、不同地区以及不同栽培条件下净同化率(NAR)变化规律。利用归一化方法将最大NAR和播种至成熟天数设为1,以相对NAR(0-1)和相对时间(0-1)为变量建立数学模型。研究结果表明,净同化率在整个生育期呈"M"形双峰曲线,前期峰值出现在拔节期,后期出现在灌浆期,且前期峰值高于后期。对NAR模型进行筛选,变化规律符合4次方数学模型NARR=a+b(TR)+c(TR)2+d(TR)3+e(TR)4;建立春玉米群体相对NAR动态变化数学模型NARR=-0.01+10.54(TR)-39.72(TR)2+52.81(TR)3-23.37(TR)4,r=0.946 1**。利用模型对2006年吉林桦甸的密度试验以及河北廊坊的品密试验进行检验,相关系数分别在0.91～0.93和0.83～0.88之间,均达到极显著相关水平,说明该模型符合东北平原以及黄淮海流域变化规律。净同化率模型的确定可实现作物产量性能方程的数字化、模式化和指标化。

NAR Dynamic Characteristics and Quantitative Analysis for High-Yielding Population of Spring Maize

This paper analyzed the dynamical change of NAR for spring maize and established the fitted models of NAR in the Northeast region in China and tested whether the change trend in other regions identified with this trend or not in response to NAR varied with plant varieties,ecological regions and different cultivation conditions.NAR was calculated according to the equation of NAR=(lnL2-lnL1)(W2-W1)/(L2-L1)(t2-t1).The dynamic model was established with normalized NAR and spring maize growth duration data.A suitable NAR fitted model,NARR=a+b(TR)+c(TR)2+ d(TR)3+e(TR)4,was developed and the specific normalized model NARR=-0.01+10.54(TR)-39.72(TR)2+52.81(TR)323.37(TR)4,r=0.946 1**,for spring maize was established.Once the crop life span and a total NAR of spring maize population in any moment were acquired,the NAR could be estimated easily.So the NAR dynamic model made the yield property equation implement the numeralization,hipping and indexation.The model of NAR for spring maize,was applicable for Northeast plain and Huang-Huai-Hai region after verification.It could be used for universality model in these regions and analyzed and predicted the change of NAR under the condition.