Can Edaphic Variables Improve DTPA‐Based Zinc Diagnosis in Corn?

Core Ideas DTPA‐extractable Zn is often used to predict corn response to Zn application. Can DTPA–Zn‐based diagnosis be improved by considering other soil properties? Soil properties did not contribute to explain corn grain yield response. DTPA–Zn allowed to discriminate sites based on their respons...

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Bibliographic Details
Published inSoil Science Society of America journal Vol. 81; no. 3; pp. 556 - 563
Main Authors Barbieri, Pablo A., Sainz Rozas, Hernán R., Wyngaard, Nicolás, Eyherabide, Mercedes, Reussi Calvo, Nahuel I., Salvagiotti, Fernando, Correndo, Adrián A., Barbagelata, Pedro A., Espósito Goya, Gabriel P., Colazo, Juan C., Echeverría, Hernán E.
Format Journal Article
LanguageEnglish
Published The Soil Science Society of America, Inc 01.05.2017
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Summary:Core Ideas DTPA‐extractable Zn is often used to predict corn response to Zn application. Can DTPA–Zn‐based diagnosis be improved by considering other soil properties? Soil properties did not contribute to explain corn grain yield response. DTPA–Zn allowed to discriminate sites based on their response to Zn fertilization. We determined a Zn‐critical range from 0.86 to 1.30 mg kg−1 (n = 64). Current zinc (Zn) diagnostic methods for corn (Zea mays L.) are often based on soil DTPA (diethylenetriamine‐pentaacetic acid) extractable Zn (DTPA‐Zn). However, calibration of the DTPA‐Zn test may be influenced by other soil properties such as pH, organic matter (SOM) and available Bray‐P (PBray‐1). Our objective was to assess the contribution of soil properties to a DTPA‐Zn model used to predict corn response to Zn fertilization. We conducted 64 field trials with two Zn‐fertilization treatments: with and without Zn fertilization. In all sites, we measured SOM, PBray‐1, pH, and DTPA‐Zn at 0‐ to 20‐cm depth before sowing. Yield difference between Zn‐fertilized and unfertilized treatments (Ydifference) was significant in 33% of the experimental site‐years. In responsive site‐years, the average Ydifference was 0.98 Mg ha‐1 (11.4%). Soil organic matter was the only property that was a significant addition to the DTPA‐Zn model for predicting the corn relative yield (Model R2 including SOM = 0.27). However, the improvement was nominal (Partial R2 of SOM = 0.06). Use of DTPA‐Zn alone was suitable to discriminate Zn responsiveness among site‐years based on the Ydifference by correctly diagnosing 81% of the outcomes. We determined three soil DPTA‐Zn ranges with different probability of resulting in a Ydifference greater than zero when fertilized with Zn: high (<0.9 mg kg‐1), medium (0.9–1.3 mg kg‐1), and low (>1.3 mg kg‐1). These soil‐test‐based Zn recommendations improve the identification of Zn‐deficient soils allowing prevention of yield loss from Zn deficiency and more rational use of Zn fertilizers.
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ISSN:0361-5995
1435-0661
DOI:10.2136/sssaj2016.09.0316