欢迎访问林业科学,今天是

林业科学 ›› 1999, Vol. 35 ›› Issue (6): 10-18.

•   • 上一篇    下一篇

应用“416-A”最优混合设计研究尾叶桉肥效与营养诊断

黄益宗1,黎向东2,杨炳强2,冯宗炜1   

  1. 1. 中国科学院生态环境研究中心 北京 100080
    2. 广西大学林学院 南宁 530001
  • 收稿日期:1998-08-21 出版日期:1999-11-25 发布日期:1999-11-25

STUDY ON FERTILIZATION EFFECT AND NUTRIENT DIAGNOSIS OF EUCALYPTUS UROPHYLLA BY"416-A"OPTIMUMMIXED DESIGN

Yizong Huang1,Xiangdong Li2,Bingqiang Yang2,Zongwei Feng1   

  1. 1. Research Center for Eco-Environmental Sciences, Chinese Academy of Science Beijing 100080
    2. Forestry College, Guangxi University Nanning 30001
  • Received:1998-08-21 Online:1999-11-25 Published:1999-11-25

摘要:

采用“ 416-A”最优混合设计安排尾叶桉幼林氮磷钾硼肥的施肥试验,建立了尾叶桉高生长与N、P、K、B肥施用量的回归模型,对模型进行仿真寻优,得到尾叶桉幼林最佳施肥配比的两套方案:高方案为N80P40K40B2.5(kg/hm2),当年目标树高生长4.53 m。中方案为N34.9P17.45K17.45B1.1(kg/hm2)目标树高生长2.45 m。施N、P、K、B肥过多或过少均不利于尾叶桉幼林的生长,三大要素中K对尾叶桉幼林高生长影响最大,其次是P,最后是N。合理施肥能延长尾叶桉的树高生长速生期。采用监界值法诊断得到尾叶桉幼林叶片养分元素及其比值的临界浓度和最适浓度,这将为桉树的合理施肥,大面积推广提供科学依据。

关键词: 尾叶桉, 肥料配方, 施肥效应, 叶诊断, 临界值

Abstract:

Experiments involved optimal N, P, K and B ratio of fertilization in young trees of Eucalyptus urophylla were carried out by"416-A"optimum-mixed design.A polynonial regression equation was established which expresses the mean tree height as function, and the applied amount of N, P, K and B as variables respectively.Using the regression equation, two optimum fertilizer recipes can be obtained by computer processing.The first fertilizer recipe is N80P40K40B2.5(kg/hm2), and the target tree height is 4.53m.The second fertilizer recipe is N34.9P17.45K17.45B1.1 (kg/hm2), and the target tree height is 2.45m.Being fertilizing too much or too small N, P, K and B fertilizers, it will cause the bad growth.The order of N, P, K fertilizers which are needed by young trees of E.urophylla is K>P>N.Fertilizing reasonably can extend the fast growing period of tree height.The nutrition status of young trees of E.urophylla was diagnosed by using diagnosis of critical value.

Key words: Eucalyptus urophylla, Fertilizer recipe, Fertilization effect, Leaf diagnosis, Critical value of concentration