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Compositional nutrient diagnosis of corn using the Mahalanobis distance as nutrient imbalance index

机译:利用马氏距离作为养分失衡指标的玉米成分养分诊断

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Parent, L. E., Natale, W. and Ziadi, N. 2009. Compositional nutrient diagnosis of corn using the Mahalanobis distance as nutrient imbalance index. Can. J. Soil Sci. 89: 383-390. Compositional nutrient diagnosis (CND) provides a plant nutrient imbalance index (CND - r(2)) with assumed chi(2) distribution. The Mahalanobis distance D-2, which detects outliers in compositional data sets, also has a chi(2) distribution. The objective of this paper was to compare D-2 and CND - r(2) nutrient imbalance indexes in corn (Zea mays L.). We measured grain yield as well as N, P, K, Ca, Mg, Cu, Fe, Mn, and Zn concentrations in the ear leaf at silk stage for 210 calibration sites in the St. Lawrence Lowlands [2300-2700 corn thermal units (CTU)] as well as 30 phosphorus (2300-2700 CTU; 10 sites) and 10 nitrogen (1900-2100 CTU; one site) replicated fertilizer treatments for validation. We derived CND norms as mean, standard deviation, and the inverse covariance matrix of centred log ratios (clr) for high yielding specimens (>= 9.0 Mg grain ha(-1) at 150 g H2O kg(-1) moisture content) in the 2300-2700 CTU zone. Using chi(2) = 17 (P < 0.05) with nine degrees of freedom (i.e., nine nutrients) as a rejection criterion for outliers and a yield threshold of 8.6 Mg ha(-1) after Cate-Nelson partitioning between low- and high-yielders in the P validation data set, D-2 misclassified two specimens compared with nine for CND -r(2). The D-2 classification was not significantly different from a chi(2) classification (P > 0.05), but the CND - r(2) classification differed significantly from chi(2) or D-2 (P < 0.001). A threshold value for nutrient imbalance could thus be derived probabilistically for conducting D-2 diagnosis, while the CND - r(2) nutrient imbalance threshold must be calibrated using fertilizer trials. In the proposed CND - D-2 procedure, D-2 is first computed to classify the specimen as possible outlier. Thereafter, nutrient indices are ranked in their order of limitation. The D-2 norms appeared less effective in the 1900-2100 CTU zone.
机译:Parent,L。E.,Natale,W。和Ziadi,N。2009。使用马氏距离作为养分失衡指数对玉米的成分养分进行诊断。能够。 J.土壤科学。 89:383-390。成分营养素诊断(CND)提供假定的chi(2)分布的植物营养素失衡指数(CND-r(2))。 Mahalanobis距离D-2(它检测成分数据集中的离群值)也具有chi(2)分布。本文的目的是比较玉米(Zea mays L.)中的D-2和CND-r(2)养分失衡指标。在圣劳伦斯低地[2300-2700玉米热量单位]的丝期,我们测量了穗期叶片中叶片的籽粒产量以及N,P,K,Ca,Mg,Cu,Fe,Mn和Zn的浓度, (CTU)]以及30份磷(2300-2700 CTU; 10个站点)和10个氮(1900-2100 CTU; 1个站点)复制了肥料处理以进行验证。我们得出了CND规范的平均值,标准差和高产量标本(> = 9.0 Mg谷物ha(-1)在150 g H2O kg(-1)水分含量下)的中心对数比(clr)的逆协方差矩阵。 2300-2700 CTU区域。使用chi(2)= 17(P <0.05),以九个自由度(即九种营养素)作为离群值的排除标准,并且在Cate-Nelson在低和低之间分配后,产量阈值为8.6 Mg ha(-1)在P验证数据集中,高收益者D-2将两个样本错误分类,而对于CND -r(2)则为9个。 D-2分类与chi(2)分类没有显着差异(P> 0.05),但CND-r(2)分类与chi(2)或D-2有显着差异(P <0.001)。因此,可以通过概率推导出营养失衡的阈值以进行D-2诊断,而必须使用肥料试验来校准CND-r(2)的营养失衡阈值。在提出的CND-D-2程序中,首先计算D-2以便将样本分类为可能的异常值。此后,将营养指数按其限制顺序排序。 D-2规范在1900-2100 CTU区域似乎不太有效。

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