Scholarly record
THE PROBABILITY OF ZINC DEFICIENCY OCCURENCE IN THE MAIZE GROWN IN THE SOUTH EASTERN PART OF ROMANIA IN THE 2016 AGRICULTURAL YEAR
Abstract
Within an expeditionary study, conducted in the south-eastern part of the Romanian Plain and central and southern Dobrogea, soil samples (0-20 cm) under the maize during the growing phase of 4-7 pairs of leaves, have been collected. The investigation methodology included three methods: determining the soil content of mobile Zn, soluble in CH3COONH4-EDTA solution at pH 7, calculating the values of the reaction-mobile phosphates index (RMPI) and of the zinc deficiency index (ZnDI), in order to establish the probability classes for the zinc deficiency occurrence. Of the total analyzed samples (76), according to the content of mobile Zn, resulting in the following distribution by probability classes: 34% of the samples belong to high probability class, 55% to medium probability class and 11% to low probability class, until the improbable. In accordance with the values of the reaction-mobile phosphates index (RMPI), soil sample distribution by Zn deficiency occurrence probability class is 56% high and very high probability, 21% low probability, and 23% improbable. Finally, as regards the probability assessed by the zinc deficiency index (ZnDI), the percentage values are distributed as follows: 56% in class with high and very high probability of the phenomenon occurrence, 14% in the class with a medium probability, 16% in class with low probability, and 14% in improbable class. It has been noticed that there is similarity between the percentage values that belong to classes with stated probability, particularly by applying any of the last two methods. The obtained results provide concrete solutions for the proper technological measures to prevent the occurrence of the zinc deficiency in maize.
Publication Impact Profile
Publication details
References0
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
