关中地区玉米临界氮浓度稀释曲线的建立和验证
基于临界氮浓度稀释曲线推导的氮素营养指数既可以诊断出氮素供应不足也可以诊断出氮肥供应过量。该文在整理分析关中平原8 a氮肥大田试验的基础上,分别构建了关中灌区夏玉米和渭北旱塬春玉米的地上部生物量的临界氮浓度稀释曲线模型。结果表明,关中玉米地上部临界氮浓度与生物量符合幂函数关系。利用独立试验资料对建立的临界氮稀释曲线模型进行检验,结果表明：该模型能准确诊断该区玉米植株的氮营养状况,施肥量和施肥时期对玉米植株的氮素营养状况影响较大,一般随着施氮量的增加氮素营养指数值会增大,只基施氮肥或前期施氮过多都会使玉米在生长过程中营养失衡。该研究建立的关中地区玉米的临界氮稀释模型为该区玉米氮素营养诊断和优化管...
Saved in:
| Published in | 农业工程学报 Vol. 31; no. 13; pp. 135 - 141 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
西北农林科技大学水土保持研究所，杨凌 712100
2015
西北农林科技大学中国旱区节水农业研究院，杨凌 712100%西北农林科技大学水土保持研究所，杨凌 712100 中国科学院水利部水土保持研究所，杨凌 712100 西北农林科技大学中国旱区节水农业研究院，杨凌 712100 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.11975/j.issn.1002-6819.2015.13.019 |
Cover
| Summary: | 基于临界氮浓度稀释曲线推导的氮素营养指数既可以诊断出氮素供应不足也可以诊断出氮肥供应过量。该文在整理分析关中平原8 a氮肥大田试验的基础上,分别构建了关中灌区夏玉米和渭北旱塬春玉米的地上部生物量的临界氮浓度稀释曲线模型。结果表明,关中玉米地上部临界氮浓度与生物量符合幂函数关系。利用独立试验资料对建立的临界氮稀释曲线模型进行检验,结果表明：该模型能准确诊断该区玉米植株的氮营养状况,施肥量和施肥时期对玉米植株的氮素营养状况影响较大,一般随着施氮量的增加氮素营养指数值会增大,只基施氮肥或前期施氮过多都会使玉米在生长过程中营养失衡。该研究建立的关中地区玉米的临界氮稀释模型为该区玉米氮素营养诊断和优化管理提供了较好的技术途径和理论参考。 |
|---|---|
| Bibliography: | 11-2047/S The nitrogen nutrition index（NNI）, derived from the critical N concentration dilution curve, allows the discrimination between crop N status under shortage and surplus N supply. The on-farm survey results shows that nitrogen fertilizer is excessively used in maize production in Guanzhong Plain. However, the famers are lacked of an efficient and simple nitrogen status diagnostic tool to guide the nitrogen application both for increasing crop yield and reducing widespread environmental pollution as well. The objectives of this study were to build and validate the applicability of the critical N concentration dilution curves for summer maize in Guanzhong irrigated area（with the whole growing period of about 105 d） and spring maize in Weibei dryland（with the whole growing period of about 158 d）, respectively. The modeling procedure was as following： 1） to collect and analyze 8-site-year（2004-2012） field experiments data under different N application rates in the Guanzhong Plain according; and 2） to deter |
| ISSN: | 1002-6819 |
| DOI: | 10.11975/j.issn.1002-6819.2015.13.019 |