中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 山楂叶片营养诊断技术的研究 中国农业科学 1992,25 (2) 63-68
Position: Home > Articles > A STUDY OF THE TECHNIQUE ON THE HAWTHORN LEAF NUTRITIONAL DIAGNOSIS Scientia Agricultura Sinica 1992,25 (2) 63-68

山楂叶片营养诊断技术的研究

作  者：
刘永菁;任世忠;裴学魁;张育明
单  位：
沈阳农业大学山楂课题组
关键词：
叶分析;营养诊断
摘  要：
通过田间试验和山楂叶分析表明,山楂叶片营养元素含量与产量之间密切相关,采用叶分析作为山楂营养诊断是可行的,采样部位以枝条顶端下数第3片叶为宜,采样时期以8月10-20日为好,不同品种、不同修剪程度叶片中营养元素含量是不同的,所以应有不同的诊断标准。
译  名：
A STUDY OF THE TECHNIQUE ON THE HAWTHORN LEAF NUTRITIONAL DIAGNOSIS
作  者：
Liu Yongqing Ren Shizhong Pei Xuekui Zhang Yuming (Hawthorn Research Group of Shenyang Agricultural University, Shenyang 110161)
关键词：
Analysis of leaves; Nutrient diagnosis
摘  要：
With the field experiments and the analysis of hawthorn leaves, it has been shown that the contents of certain nutritional elements in leaves are in relation to the output of the hawthorn. And the contents of N.K are in direct proportion to the output of the hawthorn, but the content of Mn is in inverse proportion to the output of the hawthorn. So, we can use this method to diagnose the hawthorn nutrition by analysing its leaves. Analysing leaves also shows that different hawthorn species and the extent of pruning make different contents of nutritional elements in the leaves. Therefore we should have different diagnostic standard. Since the contents of nutritional elements are irregular and different from top-leaf and bottom-leaf on the same branch in the same output class, the most suitable leaf diagnosed is the second or thrid leaf from the top, because its content is stable and the leaf area is larger. The most suitable period to pick up samples is from August 10th to 20th, the nutritional contents in the eaves is more stable during this period than at any other periods.

相似文章

导出引用
计量
文章访问数: 4
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46