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| 海伦市农田黑土机械组成与土壤全量养分相关关系研究 | |
| 引用本文： | 隋跃宇,焦晓光,程守全,刘晓冰.海伦市农田黑土机械组成与土壤全量养分相关关系研究[J].农业系统科学与综合研究,2007,23(4):456-458. |
| 作者姓名： | 隋跃宇 焦晓光 程守全 刘晓冰 |
| 作者单位： | 1. 中国科学院,东北地理与农业生态研究所,海伦农业生态实验站,黑龙江,哈尔滨,150081;中国科学院,研究生院,北京,100049 2. 黑龙江大学农学院,黑龙江,哈尔滨,150080 3. 黑龙江省甘南县,农业技术推广中心,黑龙江,甘南,162100 4. 中国科学院,东北地理与农业生态研究所,海伦农业生态实验站,黑龙江,哈尔滨,150081 |
| 基金项目： | 国家蓖点基础研究发展计划项目;黑龙江大学校科研和教改项目 |
| 摘 要： | 主要以海伦农田黑土为对象,研究海伦土壤颗粒机械组成、全量养分含量,探讨土壤机械组成与土壤全量养分的相关性.结果表明,海伦市农田黑土机械组成粉粒(0.02mm～0.002mm)占25.85%,黏粒(《0.002mm)占34.46%.粉粒与土壤全氮、全磷、全碳含量呈极显著正相关,与全钾不相关;黏粒与全氮、全碳呈极显著负相关,与全钾、全磷不相关. |
| 关 键 词： | 农田黑土 机械组成 全量养分 相关分析 |
| 文章编号： | 1001-0068（2007）04-0456-03 |
| 修稿时间： | 2006-10-31 |
Correlation Between Black Soil Textures and Total Nutrient Contents in Hailun Cropland |
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| SUI Yue-yu,JIAO Xiao-guang,CHENG Shou-quan,LIU Xiao-bing.Correlation Between Black Soil Textures and Total Nutrient Contents in Hailun Cropland[J].System Sciemces and Comprehensive Studies In Agriculture,2007,23(4):456-458. | |
| Authors: | SUI Yue-yu JIAO Xiao-guang CHENG Shou-quan LIU Xiao-bing |
| Institution: | 1. Northeast Institute of Geography and Agricultural Ecology, China Academy of Sciences, Haihm Agriculture Ecological Experimental Station, Harbin 150081, China ; 2. Heilongjiang University, Harbin 150080, China ;3. Graduate School of Chinese Academy of Sciences, Beijing 100049, China ; 4. C, annan County Center of Agricultural Technology Extension, Heilongjiang Province, Gannan 162100, China |
| Abstract: | Correlation between black soil textures and total nutrient contents in Hailun cropland was analyzed in this study.The results showed: silt contents (0.02mm-0.002mm) and clay contents(<0.002mm) was 25.85 percent and 34.46 percent,respectively.There were great significant difference between silt content and total C,N,and P.No significant difference was found between silt content and total K content.Clay content had negative great significant difference with total C and N,no significant difference with total P and K. |
| Keywords: | black farmland soil texture total nutrient relation analysis |
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