...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Soil & Tillage Research >Soil quality evaluation for navel orange production systems in central subtropical China
【24h】

Soil quality evaluation for navel orange production systems in central subtropical China

机译：中亚热带脐橙生产系统土壤质量评价

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Soil quality evaluations based on crop yields can provide clear guidance for managing agricultural production. Navel oranges are widely cultivated around the world. However, systematic soil quality evaluations for navel orange orchards have not been reported. This study uses two weighting methods, principle component analysis (PCA) and multiple regression analysis (MRA), to evaluate the soil quality of navel orange orchards in central subtropical China. The PCA weighting method is widely used for evaluating soil quality. In contrast, the MRA weighting method, which is linked closely with crop yield, is rarely used. A variety of soil samples, representing the spatial homogeneity in 114 navel orange orchards of Xinfeng County, Jiangxi province, were collected and analyzed for 17 frequently used chemical and physical properties. Result showed that the sensitivity and accuracy of the MRA weighting method were superior to those of the PCA weighting method. Thus, the MRA weighting method was recommended for future soil quality assessments. The soil indicators retained in the minimum data set (MDS) included SUM, silt, pH, AB and AK. The MDS indicators changed with the crop and soil types. Therefore, future soil quality evaluations should be specific to the crop and soil types. Overall, the soil quality of the studied navel orange orchards was low or moderate. Thus, more efforts should be directed towards adding lime and organic, potassium (K) and boron (B) fertilizer in navel orange production management. (C) 2015 Elsevier B.V. All rights reserved.
机译：基于农作物产量的土壤质量评估可以为管理农业生产提供明确的指导。脐橙在世界各地广泛种植。但是，尚未报告脐橙果园的系统土壤质量评估。本研究使用主成分分析法（PCA）和多元回归分析法（MRA）两种加权方法来评估中亚热带脐橙果园的土壤质量。 PCA加权方法广泛用于评估土壤质量。相反，很少使用与作物产量密切相关的MRA加权方法。收集了代表江西省新丰县114个脐橙果园空间同质性的各种土壤样品，并分析了其17种常用的化学和物理性质。结果表明，MRA加权法的敏感性和准确性优于PCA加权法。因此，建议将MRA加权法用于未来的土壤质量评估。保留在最小数据集（MDS）中的土壤指标包括SUM，淤泥，pH，AB和AK。 MDS指标随作物和土壤类型而变化。因此，未来的土壤质量评估应针对作物和土壤类型。总体而言，所研究的脐橙果园的土壤质量较低或中等。因此，应加大力度在脐橙生产管理中添加石灰和有机肥，钾（K）和硼（B）肥料。 （C）2015 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号