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Assessing the effects of in vitro imposed water stress on pineapple growth in relation to biochemical stress indicators using polynomial regression analysis

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Assessing the effects of in vitro imposed water stress on pineapple growth in relation to biochemical stress indicators using polynomial regression analysis

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dc.contributor.author Gómez, David es_ES
dc.contributor.author Escalante, Doris es_ES
dc.contributor.author Hajari, Elliosha es_ES
dc.contributor.author Vicente, Oscar es_ES
dc.contributor.author Sershen es_ES
dc.contributor.author Lorenzo, Jose C. es_ES
dc.date.accessioned 2021-09-16T03:32:07Z
dc.date.available 2021-09-16T03:32:07Z
dc.date.issued 2020-03-31 es_ES
dc.identifier.issn 0255-965X es_ES
dc.identifier.uri http://hdl.handle.net/10251/172602
dc.description.abstract [EN] Knowing the mechanisms that operate under water stress in commercial crops, particularly those that can affect productivity, such as phenolic or cell wall metabolism, is becoming increasingly important in a scenario of global climate change. However, our understanding of how to analyse statistically the relationships between these commonly used biochemical markers of water stress and growth in crops like pineapple, needs to be improved. In the present work, we have addressed the question of whether polynomial regression analysis can be used to describe the influence of selected plant metabolites (chlorophylls, carotenoids, phenolics and aldehydes) on shoot biomass, in response to a mannitol-induced water stress in temporary immersion bioreactors (TIBs). Polynomial regression analysis has been applied to investigate plant stress responses in many species but is very seldom used in in vitro screening studies. Here, the relationship between biochemical indicators (x; independent variable) and shoot growth (y; dependent variable) has been characterised, with y modelled as an nth degree polynomial in x. This statistical approach accommodated for the non-linear (curvilinear) relationships between variables, and the results showed that shoot biomass was negatively, and significantly correlated with soluble phenolics, cell wall-linked phenolics and other aldehydes (characterised by ¿High¿ R2 values). es_ES
dc.description.sponsorship This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. This research was supported by the Bioplant Centre (University of Ciego de Avila, Cuba), the Universidad de Concepcion (Chile), the Agricultural Research Council-Tropical and Subtropical Crops (South Africa), the Universitat Politecnica de Valencia (Spain), and the South African Technology Network (South Africa) es_ES
dc.language Inglés es_ES
dc.publisher AcademicPres (EAP) Publishing House es_ES
dc.relation.ispartof Notulae Botanicae Horti Agrobotanici Cluj-Napoca es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Ananas comosus (L.) Merr. es_ES
dc.subject Biostatistics es_ES
dc.subject Drought es_ES
dc.subject In vitro osmotic stress es_ES
dc.subject Mannitol es_ES
dc.subject Plant es_ES
dc.subject Metabolites es_ES
dc.subject Temporary immersion bioreactors (TIBs) es_ES
dc.subject.classification BIOQUIMICA Y BIOLOGIA MOLECULAR es_ES
dc.title Assessing the effects of in vitro imposed water stress on pineapple growth in relation to biochemical stress indicators using polynomial regression analysis es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.15835/nbha48111844 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Biotecnología - Departament de Biotecnologia es_ES
dc.description.bibliographicCitation Gómez, D.; Escalante, D.; Hajari, E.; Vicente, O.; Sershen; Lorenzo, JC. (2020). Assessing the effects of in vitro imposed water stress on pineapple growth in relation to biochemical stress indicators using polynomial regression analysis. Notulae Botanicae Horti Agrobotanici Cluj-Napoca. 48(1):162-170. https://doi.org/10.15835/nbha48111844 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.15835/nbha48111844 es_ES
dc.description.upvformatpinicio 162 es_ES
dc.description.upvformatpfin 170 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 48 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\411694 es_ES
dc.contributor.funder Universidad de Concepción es_ES
dc.contributor.funder Universidad de Ciego de Ávila es_ES
dc.contributor.funder South African Technology Network es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Agricultural Research Council, Sudáfrica es_ES


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