Can Edaphic Variables Improve DTPA-Based Zinc Diagnosis in Corn?
| Autor: | Nicolás Wyngaard, Pedro Anibal Barbagelata, Mercedes Eyherabide, Hernan Rene Sainz Rozas, Pablo Barbieri, Gabriel P. Espósito Goya, Hernán Eduardo Echeverría, Juan Cruz Colazo, Nahuel Ignacio Reussi Calvo, Adrian A. Correndo, Fernando Salvagiotti |
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| Rok vydání: | 2017 |
| Předmět: |
CORN
Soil Science chemistry.chemical_element Zinc 010501 environmental sciences 01 natural sciences Human fertilization FERTILIZATION Organic matter 0105 earth and related environmental sciences chemistry.chemical_classification Agricultura Soil organic matter Sowing Edaphic 04 agricultural and veterinary sciences Agronomy chemistry CIENCIAS AGRÍCOLAS Yield (chemistry) Soil water 040103 agronomy & agriculture ZN DTPA 0401 agriculture forestry and fisheries Agricultura Silvicultura y Pesca |
| Zdroj: | Soil Science Society of America Journal. 81:556-563 |
| ISSN: | 0361-5995 |
| DOI: | 10.2136/sssaj2016.09.0316 |
| Popis: | 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 (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. Fil: Barbieri, Pablo Andres. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina Fil: Sainz Rozas, Hernan Rene. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Wyngaard, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria; Argentina Fil: Eyherabide, Mercedes. Instituto Nacional de Tecnología Agropecuaria; Argentina Fil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Correndo, Adrián A.. International Plant Nutrition Institute; Argentina Fil: Barbagelata, Pedro A.. Instituto Nacional de Tecnología Agropecuaria; Argentina Fil: Espósito Goya, Gabriel P.. Universidad Nacional de Río Cuarto; Argentina Fil: Colazo, Juan Cruz. Instituto Nacional de Tecnología Agropecuaria. Centro Regional La Pampa-San Luis. Estación Experimental Agropecuaria San Luis; Argentina Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria; Argentina |
| Databáze: | OpenAIRE |
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