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Establishment of Potassium Reference Values Using Bayesian Models in Grapevines

Author

Listed:
  • Adriele Tassinari

    (Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Eduardo Maciel Haitzmann dos Santos

    (Department of Soil Science, Faculty of Agricultural Sciences of Vale do Ribeira—Campus Registro (UNESP), Nelson Brihi Badur Avenue, 430, Registro 11900-000, SP, Brazil)

  • Lincon Oliveira Stefanello

    (Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Beatriz Baticini Vitto

    (Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Gustavo Nogara de Siqueira

    (Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Raí Augusto Schwalbert

    (CCGL—Cooperativa Central Gaúcha Ltd.a.—Technology Unit, RS 342 km 149, Cruz Alta 98005-970, RS, Brazil)

  • Carlos Alberto Ceretta

    (Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Raissa Schwalbert

    (Department of Phytotechnics, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Tadeu Luis Tiecher

    (Federal Institute of Rio Grande do Sul (IFRS), Campus Restinga, Porto Alegre 91791-508, RS, Brazil)

  • Marlise Nara Ciotta

    (Company of Agriculture Research and Rural Extension of Santa Catarina (EPAGRI), Florianópolis 88034-901, SC, Brazil)

  • Jacson Hindersmann

    (Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Filipe Nunes de Oliveira

    (Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

  • Elena Baldi

    (Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 50, 40127 Bologna, Italy)

  • Moreno Toselli

    (Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 50, 40127 Bologna, Italy)

  • Gustavo Brunetto

    (Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil)

Abstract

Critical levels (CL) of available potassium (K) in soils and leaves and maximum technical efficiency (MTE) doses are relevant information to define the best K fertilization strategies. The aim of this study was to determine reference values of K in leaves and soil, using Bayesian analysis, in order to maximize grape yield and must quality of ‘Chardonnay’ and ‘Pinot Noir’ grown in a subtropical climate. The vines were subjected to applications of 0, 20, 40, 60 and 80 kg K 2 O ha −1 year −1 . The CL and MTE doses of K, in leaves and soils, were determined using Bayesian hierarchical models. The range of probability of the occurrence of CL in leaves was 15.8 to 18.9 g K kg −1 in ‘Chardonnay’ and 16.8 to 19.1 g K kg −1 in ‘Pinot Noir’ at flowering. Moreover, the range was 15.3 to 18.1 g K kg −1 in ‘Chardonnay’ and 16.1 to 18.2 g K kg −1 in ‘Pinot Noir’ at veraison. In the soil, the CL of available K for ‘Chardonnay’ was 27.4 mg K kg −1 and for ‘Pinot Noir’ it was 23.2 mg K kg −1 . The increase of K in leaves and soil increased the TSS, while the TTA decreased in both cultivars after sufficiency rate. The MTE was estimated in ‘Pinot Noir’. The proposition of CL and/or MTE doses of K can help increase the efficiency of K fertilization in vineyards.

Suggested Citation

  • Adriele Tassinari & Eduardo Maciel Haitzmann dos Santos & Lincon Oliveira Stefanello & Beatriz Baticini Vitto & Gustavo Nogara de Siqueira & Raí Augusto Schwalbert & Carlos Alberto Ceretta & Raissa Sc, 2022. "Establishment of Potassium Reference Values Using Bayesian Models in Grapevines," Agriculture, MDPI, vol. 12(11), pages 1-19, November.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:11:p:1867-:d:966113
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