| 甜玉米生长发育和产量形成的数学模型 |
| |
| 引用本文： | 魏军,顾慰连.甜玉米生长发育和产量形成的数学模型[J].沈阳农业大学学报,1989,20(4):390-398. |
| |
| 作者姓名： | 魏军 顾慰连 |
| |
| 作者单位： | 沈阳农业大学农学系，沈阳农业大学农学系，沈阳农业大学农学系 |
| |
| 摘 要： | 以甜玉米群体作为系统,密度、N、P和K肥作为输入,产量作为输出。采用二次通用旋转组合设计,建立措施——甜玉米——产量数学预测模型。通过模型得到900～1000公斤/亩高产甜玉米群体的各输入因子的配比组合如下:密度取4591～4820株/亩,N肥(纯N)取6.64～9.09公斤/亩、P肥(纯P)取3.39～5.91公斤/亩,K肥(纯K)取4.66～6.67公斤/亩(以上为沈阳);密度取4782～5000株/亩,N肥(纯N)取4.17～6.55公斤/亩,P肥(纯P)取8.07～9.29公斤/亩,K肥(纯K)取6.89～8.99公斤/亩。群体于物质累积乳熟期应在700公斤/亩以上,最大叶面积指数在4.7±0.3,稳定期在15天左右,累积光合势在110千平方米·日(乳熟期)以上。运用栽培促控措施,使甜玉米群体在时间序列上完成模型给定的各指标定值,就能尽可能地减少非控制因子引起的输入与输出间定量关系的飘移,从而实现预期的产量输出。
|
| 关 键 词： | 甜玉米 系统 预测模型 产量形成 二次旋转组合设计 |
A Study on Mathematical Models for Growth and Productivity of Sweet Corn |
| |
| Wei Jun,Gu Weilian,Dai Junying.A Study on Mathematical Models for Growth and Productivity of Sweet Corn[J].Journal of Shenyang Agricultural University,1989,20(4):390-398. |
| |
| Authors: | Wei Jun Gu Weilian Dai Junying |
| |
| Institution: | Wei Jun,Gu Weilian,Dai Junying Department of Agronomy,Shenyang Agricultural University |
| |
| Abstract: | According to the principle of systematics, a sweet corn(Zea Mays L. ) population was taken as a system, with control factors, including plant density, N, P, and K fertilizers, as input, and with the yield of sweet corn as output. A management-yield prediction model was built by means of quadratic rotational combination design. The combination of input factors for high yield of sweet corn could be obtained from the model, and the requirements for 900-1000 kg/mu were as follows. In Shenyang, plant density ranged from 4591 to 4820 plants/mu, the net quantites of N, P, and K fertilizers were 6. 64-9. 09,3. 39--5. 91 and 4.46-6. 67kg/mu respectively; In Haicheng (Liaoning province, China), plant density was from 4780 to 5000 plants/mu, net N, P, and K were 4. 17-6.55, 8.07--9.29 and 6.89-8.99 kg/mu respectively. The cumulative dry matter for high yield between 900-1000 kg/mu should be about 700 kg/mu, and the cumulative photo- synthetic potential should not change for about 15 days. If measures are taken, we can ensure the attainment of certain levels of various indexes in the sweet corn population as indicated by the sequence in the model, then the "drift" of quantitive relationship between input and output caused by uncontrollable factors could be limited to some extent,and finally, the target of predicted yield could be achieved. |
| |
| Keywords: | Sweetcorn system eting model yield quadratic rolational combination design |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
