TY - JOUR

T1 - Euclidean distance can identify the mannitol level that produces the most remarkable integral effect on sugarcane micropropagation in temporary immersion bioreactors

AU - Gómez, Daviel

AU - Hernández, L. ázaro

AU - Yabor, Lourdes

AU - Beemster, Gerrit T.S.

AU - Tebbe, Christoph C.

AU - Papenbrock, Jutta

AU - Lorenzo, José Carlos

N1 - Funding Information: Fig. 3 Calculation of the Euclidean distance from each mannitol treatment to the control treatment (0 mM mannitol). a Formula to calculate the Euclidean distances. b Averaged Euclidean distances from each mannitol treatment to the control treatment Acknowledgements This research was supported by the Institute of Botany (Leibniz University of Hannover, Germany), the Laboratory for Integrated Plant Physiology Research (University of Antwerp, Belgium), the Thünen Institute of Biodiversity (Braunschweig, Germany) and the Bioplant Centre (University of Ciego de Ávila, Cuba). Authors are grateful to Mrs. Bárbara Valle, Mrs. Julia Martínez, Mrs. Mariela Cid, Dr. Maritza Escalona and Dr. Martha Hernández for their important suggestions provided. Funding Information: This research was supported by the Institute of Botany (Leibniz University of Hannover, Germany), the Laboratory for Integrated Plant Physiology Research (University of Antwerp, Belgium), the Th?nen Institute of Biodiversity (Braunschweig, Germany) and the Bioplant Centre (University of Ciego de ?vila, Cuba). Authors are grateful to Mrs. B?rbara Valle, Mrs. Julia Mart?nez, Mrs. Mariela Cid, Dr. Maritza Escalona and Dr. Martha Hern?ndez for their important suggestions provided. Publisher Copyright: © 2018, The Botanical Society of Japan and Springer Japan KK, part of Springer Nature. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2018/7/1

Y1 - 2018/7/1

N2 - Plant scientists usually record several indicators in their abiotic factor experiments. The common statistical management involves univariate analyses. Such analyses generally create a split picture of the effects of experimental treatments since each indicator is addressed independently. The Euclidean distance combined with the information of the control treatment could have potential as an integrating indicator. The Euclidean distance has demonstrated its usefulness in many scientific fields but, as far as we know, it has not yet been employed for plant experimental analyses. To exemplify the use of the Euclidean distance in this field, we performed an experiment focused on the effects of mannitol on sugarcane micropropagation in temporary immersion bioreactors. Five mannitol concentrations were compared: 0, 50, 100, 150 and 200 mM. As dependent variables we recorded shoot multiplication rate, fresh weight, and levels of aldehydes, chlorophylls, carotenoids and phenolics. The statistical protocol which we then carried out integrated all dependent variables to easily identify the mannitol concentration that produced the most remarkable integral effect. Results provided by the Euclidean distance demonstrate a gradually increasing distance from the control in function of increasing mannitol concentrations. 200 mM mannitol caused the most significant alteration of sugarcane biochemistry and physiology under the experimental conditions described here. This treatment showed the longest statistically significant Euclidean distance to the control treatment (2.38). In contrast, 50 and 100 mM mannitol showed the lowest Euclidean distances (0.61 and 0.84, respectively) and thus poor integrated effects of mannitol. The analysis shown here indicates that the use of the Euclidean distance can contribute to establishing a more integrated evaluation of the contrasting mannitol treatments.

AB - Plant scientists usually record several indicators in their abiotic factor experiments. The common statistical management involves univariate analyses. Such analyses generally create a split picture of the effects of experimental treatments since each indicator is addressed independently. The Euclidean distance combined with the information of the control treatment could have potential as an integrating indicator. The Euclidean distance has demonstrated its usefulness in many scientific fields but, as far as we know, it has not yet been employed for plant experimental analyses. To exemplify the use of the Euclidean distance in this field, we performed an experiment focused on the effects of mannitol on sugarcane micropropagation in temporary immersion bioreactors. Five mannitol concentrations were compared: 0, 50, 100, 150 and 200 mM. As dependent variables we recorded shoot multiplication rate, fresh weight, and levels of aldehydes, chlorophylls, carotenoids and phenolics. The statistical protocol which we then carried out integrated all dependent variables to easily identify the mannitol concentration that produced the most remarkable integral effect. Results provided by the Euclidean distance demonstrate a gradually increasing distance from the control in function of increasing mannitol concentrations. 200 mM mannitol caused the most significant alteration of sugarcane biochemistry and physiology under the experimental conditions described here. This treatment showed the longest statistically significant Euclidean distance to the control treatment (2.38). In contrast, 50 and 100 mM mannitol showed the lowest Euclidean distances (0.61 and 0.84, respectively) and thus poor integrated effects of mannitol. The analysis shown here indicates that the use of the Euclidean distance can contribute to establishing a more integrated evaluation of the contrasting mannitol treatments.

KW - Abiotic factors

KW - Biostatistics

KW - Drought

KW - In vitro culture

KW - Saccharum

UR - http://www.scopus.com/inward/record.url?scp=85044043525&partnerID=8YFLogxK

U2 - 10.1007/s10265-018-1028-7

DO - 10.1007/s10265-018-1028-7

M3 - Article

C2 - 29546495

AN - SCOPUS:85044043525

VL - 131

SP - 719

EP - 724

JO - Journal of Plant Research

JF - Journal of Plant Research

SN - 0918-9440

IS - 4

ER -