University of Tehran Press Iranian Journal of Soil and Water Research 2008-479X 48 5 2018 01 21 Evaluation of nutritional status of squash by Compositional nutrient diagnosis (CND) method in Khoy region Evaluation of nutritional status of squash by Compositional nutrient diagnosis (CND) method in Khoy region 1007 1013 64755 10.22059/ijswr.2018.225775.667619 FA Mahrokh Sharifmand University of Urmia Ebrahim Sepehr University of Urmia Ahmad Bybordi University of Tabriz Journal Article 2017 01 23 Compositional Nutrient Diagnosis (CND) methods are important to interpret the results of chemical analysis and diagnosis of nutritional status of plants. In order to evaluate the nutritional status of squash (<em>Lagenaria Vulgaris</em>) through CND and to determine nutrient norms for this crop, 122 leaf samples were collected from squash fields of Khoy region and N, P, K, Ca, Mg, Fe, Mn, Zn, Cu and B elements in the samples were analyzed. The squash fields were divided into two high and low yielding groups, based on mathematical and statistical methods and by additive function of variance ratio and then the CND indices and norms were calculated. Results of the research showed that there were significant differences between high and low yielding fields in terms of nutrients’ concentration. Based on CND indices, potassium and zinc nutrients had the most negative indices. CND nutritional balance index of low yielding fields were more than zero indicating nutritional imbalances in these fields. Compositional Nutrient Diagnosis (CND) methods are important to interpret the results of chemical analysis and diagnosis of nutritional status of plants. In order to evaluate the nutritional status of squash (<em>Lagenaria Vulgaris</em>) through CND and to determine nutrient norms for this crop, 122 leaf samples were collected from squash fields of Khoy region and N, P, K, Ca, Mg, Fe, Mn, Zn, Cu and B elements in the samples were analyzed. The squash fields were divided into two high and low yielding groups, based on mathematical and statistical methods and by additive function of variance ratio and then the CND indices and norms were calculated. Results of the research showed that there were significant differences between high and low yielding fields in terms of nutrients’ concentration. Based on CND indices, potassium and zinc nutrients had the most negative indices. CND nutritional balance index of low yielding fields were more than zero indicating nutritional imbalances in these fields. https://ijswr.ut.ac.ir/article_64755_9deee250fa554711c656422c66de3b14.pdf