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Empiric mathematical model for predicting the content of alpha-acids in hop (Humulus lupulus L.) cv. Aurora

The aim of this research is to find a simple mathematical model due to sum of effective temperatures and rainfalls from second germination after spring pruning till the technological maturity of hop cones, in order to achieve reliable prognosis of alpha-acids content in hop cv. Aurora. After mathema...

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Autores principales: Srečec, Siniša, Čeh, Barbara, Ciler, Tanja Savić, Rus, Alenka Ferlež
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing AG 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625406/
https://www.ncbi.nlm.nih.gov/pubmed/23596559
http://dx.doi.org/10.1186/2193-1801-2-59
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author Srečec, Siniša
Čeh, Barbara
Ciler, Tanja Savić
Rus, Alenka Ferlež
author_facet Srečec, Siniša
Čeh, Barbara
Ciler, Tanja Savić
Rus, Alenka Ferlež
author_sort Srečec, Siniša
collection PubMed
description The aim of this research is to find a simple mathematical model due to sum of effective temperatures and rainfalls from second germination after spring pruning till the technological maturity of hop cones, in order to achieve reliable prognosis of alpha-acids content in hop cv. Aurora. After mathematical analyses of experimental data by Eurequa Formulize 0.96 Beta software 17 equations were offered, and after substituting the values of dependent and independent variables in all equations only one equation was chosen with p = 0.034 (p<0.05). This equation is not reliable in extremely drought year if crop evapotranspiration ET(0) in July is higher than 4.5, primarily because of negative influence on formation and development of hop glandular trichomes. Considering achieved results it is possible to suggest following general equation for alpha-acids accumulation in hop: y = [(k(1) w) − k(2) − (k(3) w(2))/x] ÷ (−10) ↔ ET(0 July) ≤ 4.5. Where y is alpha acids content in dry matter (%), x = sum of effective temperatures and w = sum of rainfals, both from second germination after spring pruning till technological maturity of hop cones. Coefficients k(1), k(2) and k(3) are determined for cultivar Aurora (53.8, 453 and 1.33, respectively).
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spelling pubmed-36254062013-04-15 Empiric mathematical model for predicting the content of alpha-acids in hop (Humulus lupulus L.) cv. Aurora Srečec, Siniša Čeh, Barbara Ciler, Tanja Savić Rus, Alenka Ferlež Springerplus Methodology The aim of this research is to find a simple mathematical model due to sum of effective temperatures and rainfalls from second germination after spring pruning till the technological maturity of hop cones, in order to achieve reliable prognosis of alpha-acids content in hop cv. Aurora. After mathematical analyses of experimental data by Eurequa Formulize 0.96 Beta software 17 equations were offered, and after substituting the values of dependent and independent variables in all equations only one equation was chosen with p = 0.034 (p<0.05). This equation is not reliable in extremely drought year if crop evapotranspiration ET(0) in July is higher than 4.5, primarily because of negative influence on formation and development of hop glandular trichomes. Considering achieved results it is possible to suggest following general equation for alpha-acids accumulation in hop: y = [(k(1) w) − k(2) − (k(3) w(2))/x] ÷ (−10) ↔ ET(0 July) ≤ 4.5. Where y is alpha acids content in dry matter (%), x = sum of effective temperatures and w = sum of rainfals, both from second germination after spring pruning till technological maturity of hop cones. Coefficients k(1), k(2) and k(3) are determined for cultivar Aurora (53.8, 453 and 1.33, respectively). Springer International Publishing AG 2013-02-19 /pmc/articles/PMC3625406/ /pubmed/23596559 http://dx.doi.org/10.1186/2193-1801-2-59 Text en © Srečec et al, Licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Srečec, Siniša
Čeh, Barbara
Ciler, Tanja Savić
Rus, Alenka Ferlež
Empiric mathematical model for predicting the content of alpha-acids in hop (Humulus lupulus L.) cv. Aurora
title Empiric mathematical model for predicting the content of alpha-acids in hop (Humulus lupulus L.) cv. Aurora
title_full Empiric mathematical model for predicting the content of alpha-acids in hop (Humulus lupulus L.) cv. Aurora
title_fullStr Empiric mathematical model for predicting the content of alpha-acids in hop (Humulus lupulus L.) cv. Aurora
title_full_unstemmed Empiric mathematical model for predicting the content of alpha-acids in hop (Humulus lupulus L.) cv. Aurora
title_short Empiric mathematical model for predicting the content of alpha-acids in hop (Humulus lupulus L.) cv. Aurora
title_sort empiric mathematical model for predicting the content of alpha-acids in hop (humulus lupulus l.) cv. aurora
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625406/
https://www.ncbi.nlm.nih.gov/pubmed/23596559
http://dx.doi.org/10.1186/2193-1801-2-59
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