首页> 外文期刊>Revista Brasileira de Fruticultura >Diagnose nutricional para nitrogênio e potássio em bananeira por meio do sistema integrado de diagnose e recomenda??o (DRIS) e de níveis críticos
【24h】

Diagnose nutricional para nitrogênio e potássio em bananeira por meio do sistema integrado de diagnose e recomenda??o (DRIS) e de níveis críticos

机译:通过综合诊断和建议系统(DRIS)和临界水平对香蕉中的氮和钾进行营养诊断

获取原文
           

摘要

The Performance of DRIS and critical value approach (CVA) diagnostics were evaluated based on leaf analysis from a field experiment on a factorial design to study the yield response of banana to N and K applications during two crop seasons. The situations identified as deficient were classified as positives (+) and those diagnosed as sufficient, were classified as negatives (-). According to the response on yield due the application of N or K, the diagnostics were classified as true (V) or false (F). Four combinations were possible: V+, V-, F+ and F-. The efficiency for N diagnostics (%V+ and %V-) based on the critical value approach was 48%, while using the DRIS it was 69%. The efficiency for K diagnostics was 63% for both DRIS and CV methods. The relation between deficient diagnostics confirmed by positive response on yield under application of the nutrient and false positive cases (%V+?%F+) for N was 1.5 for the DRIS and 0.68 for CVA. For the K deficiency diagnostics, the value of this relation was 1.67 for both methods. The net yield derived from N application based on correct diagnostics (48 cases) was 124 Mg ha-1 for DRIS and 20 Mg ha-1 for the CVA. For K, this variation was 70 Mg ha-1 for the DRIS and the CVA.
机译:基于对因子设计进行田间试验的叶片分析,对DRIS的性能和临界值方法(CVA)诊断进行了评估,以研究香蕉在两个作物季节对N和K施用的产量响应。识别为不足的情况归为阳性(+),诊断为充分的情况归为阴性(-)。根据施用N或K对产量的响应,将诊断分为真(V)或假(F)。可能有四种组合:V +,V-,F +和F-。基于临界值方法的N个诊断程序(%V +和%V-)的效率为48%,而使用DRIS的效率为69%。对于DRIS和CV方法,K诊断的效率均为63%。营养素施用对产量的积极响应所证实的诊断不足与N假阳性病例(%V +?%F +)之间的相关性,DRIS为1.5,CVA为0.68。对于钾缺乏症诊断,两种方法的此关系值均为1.67。根据正确的诊断方法(48例),从氮肥施用获得的净产量对于DRIS为124 Mg ha-1,对于CVA为20 Mg ha-1。对于K,DRIS和CVA的变化为70 Mg ha-1。

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