Critical potassium dilution curve for potato crops
| dc.contributor.author | Sandaña, Patricio | |
| dc.contributor.author | Soratto, Rogério P. [UNESP] | |
| dc.contributor.author | Silva, Júlio César de A. [UNESP] | |
| dc.contributor.author | Valenzuela, Alfonso | |
| dc.contributor.author | Parecido, Renan J. [UNESP] | |
| dc.contributor.author | Fernandes, Adalton M. [UNESP] | |
| dc.contributor.author | Ciampitti, Ignacio A. | |
| dc.contributor.institution | Universidad Austral de Chile | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | Instituto de Investigaciones Agropecuarias (INIA-Quilamapu) | |
| dc.contributor.institution | Kansas State University | |
| dc.contributor.institution | P. Sandaña and R.P. Soratto contributed equally to this study. | |
| dc.date.accessioned | 2025-04-29T18:05:21Z | |
| dc.date.issued | 2024-08-01 | |
| dc.description.abstract | Context or problem: Proper potassium (K) nutrition is a key management factor to attain both high tuber yields and quality in potato (Solanum tuberosum L.) crop. Therefore, developing diagnostic tools to assess crop K status via utilization of a critical K dilution curve (Kcr = aW-b) and calculation of the K nutrition index (KNI) is essential to advance K fertilization management in potato crops. Objective or research question: The aims of this study were to: (i) compute and compare different critical K dilution curves via a hierarchical Bayesian approach for different genotype × environment × management (G × E × M) scenarios and (ii) assess the relationship between tuber yield and K nutrition index (KNI) tested under diverse G × E × M scenarios. Methods: Five field experiments were conducted in Brazil (exp. 1 and 2) and Chile (exp. 3–5) during the 2020–2022 growing seasons, using four to five K fertilization rates (0–500 kg K ha−1) and two cultivars (Asterix or Patagonia-INIA). A hierarchical Bayesian approach was applied to quantify the parameters of the dilution curve and their uncertainties under eight G × E × M scenarios. Results: From all those curves, a generic critical dilution K curve was established under those scenarios [(Kcr (%) = 6.32 W−0.27)], for a broad range of variation of total fresh tuber yield (27–98 Mg ha−1), total dry plant biomass (1.1–22.6 Mg ha−1), and plant K concentration (1.3–6.9 %). The integrated KNI described the relative tuber yield (RY) significantly (p < 0.01; R2 = 0.78) by a linear function, reaching the maximum RY with a KNI value of 1. Furthermore, a similar pattern was observed between RY and instantaneous KNI calculated from one sample date from an independent dataset. Conclusions: A generic critical dilution curve for K was determined as the best model across different G × E × M scenarios. Thus, supporting the concept of using a generic K dilution curve rather than specific curves for different cultivars and/or environments. Implications or significance: This critical K dilution curve is a valuable tool for quantifying KNI and improving the effective use of this nutrient for potato production systems under diverse environments. | en |
| dc.description.affiliation | Institute of Plant Production and Protection Faculty of Agricultural and Food Sciences Universidad Austral de Chile, Campus Isla Teja | |
| dc.description.affiliation | Dept. of Crop Science College of Agricultural Sciences São Paulo State University (UNESP), SP | |
| dc.description.affiliation | Center of Tropical Roots and Starches São Paulo State University (UNESP), SP | |
| dc.description.affiliation | Instituto de Investigaciones Agropecuarias (INIA-Quilamapu), Av. Vicente Méndez 515 | |
| dc.description.affiliation | Department of Agronomy Kansas State University, 2004 Throckmorton Plant Science Center | |
| dc.description.affiliation | P. Sandaña and R.P. Soratto contributed equally to this study. | |
| dc.description.affiliationUnesp | Dept. of Crop Science College of Agricultural Sciences São Paulo State University (UNESP), SP | |
| dc.description.affiliationUnesp | Center of Tropical Roots and Starches São Paulo State University (UNESP), SP | |
| dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
| dc.description.sponsorshipId | CNPq: 305837/2022–2 | |
| dc.identifier | http://dx.doi.org/10.1016/j.fcr.2024.109492 | |
| dc.identifier.citation | Field Crops Research, v. 316. | |
| dc.identifier.doi | 10.1016/j.fcr.2024.109492 | |
| dc.identifier.issn | 0378-4290 | |
| dc.identifier.scopus | 2-s2.0-85198039420 | |
| dc.identifier.uri | https://hdl.handle.net/11449/297034 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Field Crops Research | |
| dc.source | Scopus | |
| dc.subject | Bayesian | |
| dc.subject | Concentration | |
| dc.subject | KNI | |
| dc.subject | Solanum tuberosum | |
| dc.subject | Tuber | |
| dc.title | Critical potassium dilution curve for potato crops | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Centro de Raízes e Amidos Tropicais, Botucatu | pt |
