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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

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 K2O 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.

Details

Title
Establishment of Potassium Reference Values Using Bayesian Models in Grapevines
Author
Tassinari, Adriele 1   VIAFID ORCID Logo  ; Eduardo Maciel Haitzmann dos Santos 2   VIAFID ORCID Logo  ; Lincon Oliveira Stefanello 1   VIAFID ORCID Logo  ; Vitto, Beatriz Baticini 1 ; Gustavo Nogara de Siqueira 1 ; Schwalbert, Raí Augusto 3 ; Ceretta, Carlos Alberto 1 ; Schwalbert, Raissa 4 ; Tiecher, Tadeu Luis 5   VIAFID ORCID Logo  ; Marlise Nara Ciotta 6 ; Hindersmann, Jacson 1 ; Filipe Nunes de Oliveira 1 ; Baldi, Elena 7   VIAFID ORCID Logo  ; Toselli, Moreno 7   VIAFID ORCID Logo  ; Brunetto, Gustavo 1   VIAFID ORCID Logo 

 Department of Soil Science, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil 
 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 
 CCGL—Cooperativa Central Gaúcha Ltd.a.—Technology Unit, RS 342 km 149, Cruz Alta 98005-970, RS, Brazil 
 Department of Phytotechnics, Federal University of Santa Maria (UFSM), Santa Maria 97105-900, RS, Brazil 
 Federal Institute of Rio Grande do Sul (IFRS), Campus Restinga, Porto Alegre 91791-508, RS, Brazil 
 Company of Agriculture Research and Rural Extension of Santa Catarina (EPAGRI), Florianópolis 88034-901, SC, Brazil 
 Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 50, 40127 Bologna, Italy 
First page
1867
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20770472
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2748201436
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.