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Euclidean distance can recognize the Biojas® concentration that produces the ideal physiological status of pineapple in vitro plantlets

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Abstract

Biojas® is a fermented broth of Lasiodiplodia theobromae, a jasmonic acid–producing fungus characterized as a plant growth regulator and as biological control of phytopathogenic microorganisms and pests. The present work describes the use of Biojas® in in vitro culture of pineapple. On the other hand, plant scientists usually record multiple indicators in their experiments. The common statistical data evaluations involve univariate analyses such as t test, Mann-Whitney, and analysis of variance (ANOVA) followed by Tukey’s HSD. Such analyses do not evaluate integrally the effects of the experimental treatments because each indicator is analyzed independently. For this reason, we explored in this study the Euclidean distance combined with the data of the Biojas® treatment (0–2 mg l−1) on pineapple in vitro plantlets as an integrating indicator. Plant height; number of leaves; D leaf length, width, and area; diameter of the plant base; fresh and dry weights of the plant; levels of chlorophylls; transpiration rate; CO2 assimilation; and water use efficiency were recorded. Several statistically significant differences among Biojas® treatments were recorded. However, the most significant effects of Biojas® treatments were only noted in the plant height, length and area of D leaf, and water use efficiency. Variables mentioned above increased until 1.0 mg l−1 Biojas® and decreased with high levels of Biojas®. Calculation of the Euclidean distance from each Biojas® level to the ideal physiological status of the pineapple plantlets revealed that 1.0 mg l−1 Biojas® produced the pineapple plantlets with the best physiological status.

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References

  • Acosta Y, Hernández L, Mazorra C, Quintana N, Zevallos BE, Cejas I, Sershen LJC, Martínez-Montero ME, Fontes D (2019) Seed cryostorage enhances subsequent plant productivity in the forage species Teramnus labialis (L.F.) Spreng. CryoLetters 40:36–44

    PubMed  Google Scholar 

  • Aragón C, Carvalho L, González J, Escalona M, Amâncio S (2012) The physiology of ex vitro pineapple (Ananas comosus L. Merr. var MD-2) as CAM or C3 is regulated by the environmental conditions. Plant Cell Rep 31:757–769

    Article  Google Scholar 

  • Arguedas M, Gómez D, Hernández L, Engelmann F, Garramone R, Cejas I, Yabor L, Martínez-Montero ME, Lorenzo JC (2018a) Maize seed cryo-storage modifies chlorophyll, carotenoid, protein, aldehyde and phenolics levels during early stages of germination. Acta Physiol Plant 40:118

    Article  Google Scholar 

  • Arguedas M, Villalobos A, Gómez D, Hernández L, Zevallos B, Cejas I, Yabor L, Martínez-Montero ME, Lorenzo JC (2018b) Field performance of cryopreserved seed-derived maize plants. CryoLetters 39:366–370

    PubMed  Google Scholar 

  • Blasius J, Eilers P, Gower JC (2009) Better biplots. Comp Stat Data Anal 53:3145–3158

    Article  Google Scholar 

  • Camloh M, Vilhar B, Žel J, Ravnikar M (1999) Jasmonic acid stimulates development of rhizoids and shoots in fern leaf culture. J Plant Physiol 155:798–801

    Article  CAS  Google Scholar 

  • Castillo-Portela G, Eng-Sánchez F, Nogueiras-Lima C, Michelena-Alvarez G, Sánchez-Bravo J, Acosta-Echeverría M (2014) Caracterización del proceso fermentativo de Lasiodiplodia theobromae mediante cromatografía gaseosa y cromatografía gaseosa acoplada a espectrometría de masas. Revista CENIC Ciencias Químicas 45:90–95

    Google Scholar 

  • Chapman S, Shenk P, Kazan K, Manners J (2001) Using Biplots to interpret gene expression pattern in plants. Bioinf Applic Note 18:202–204

    Article  Google Scholar 

  • Daquinta M, Benegas R (1997) Brief review of tissue culture of pineapple. Pineap News 3:7–9

    Google Scholar 

  • Duda R, Hart P, Stork D (2001) Pattern Classification. John Wiley & Sons Inc, New York

    Google Scholar 

  • Faria JC, Demetrio CGB (2008) BPCA: biplot of multivariate data based on principal components analysis. UESC and ESALQ, Ilheus R package version 1.02, URL http://CRAN.R-project.org/package=bpca

    Google Scholar 

  • Farmer EE, Ryan CA (1992) Octadecanoid precursors of jasmonic acid activate the synthesis of wound-inducible proteinase inhibitors. Plant Cell 4:129–134

    Article  CAS  Google Scholar 

  • Fliege J, Qi H-D, Xiu N (2019) Euclidean distance matrix optimization for sensor network localization. In: Gao C, Zhao G, Fourati H (eds) Cooperative localization and navigation: theory, research and practice. CRC Press, Boca Raton

    Google Scholar 

  • Gabriel KR (2002) Goodness of fit of biplots and correspondence analysis. Biometrika 89:423–436

    Article  Google Scholar 

  • Gómez D, Hernandez L, Martínez J, Quiñones J, Zevallos B, Sershen N, Yabor L, Lorenzo JC (2019) Mutagenic effects of sodium azide on pineapple micropropagant growth and biochemical profile within temporary immersion bioreactors. J Appl Bot Food Qual 92:1–6

  • Gómez D, Hernández L, Valle B, Martínez J, Cid M, Escalona M, Hernández M, Beemster GTS, Tebbe CC, Yabor L, Lorenzo JC (2017a) Temporary immersion bioreactors (TIB) provide a versatile, cost-effective and reproducible in vitro analysis of the response of pineapple shoots to salinity and drought. Acta Physiol Plant 39:277

    Article  Google Scholar 

  • Gómez D, Hernández L, Valle B, Martínez J, Cid M, Escalona M, Hernández M, Yabor L, Beemster GTS, Tebbe CC, Papenbrock J, Lorenzo JC (2017b) Salinity induces specific metabolic changes in sugarcane shoot explants in temporary immersion bioreactors. J Appl Biol Food Qual 90:354–358. https://doi.org/10.5073/JABFQ.2017.090.044

    Article  Google Scholar 

  • Gómez D, Hernández L, Yabor L, Beemster GTS, Tebbe CC, Papenbrock J, Lorenzo JC (2018) Euclidean distance can identify the mannitol level that produces the most remarkable integral effect on sugarcane micropropagation in temporary immersion bioreactors. J Plant Res 131:719–724

    Article  Google Scholar 

  • Gomez-Pando L, Jimenez-Davalos J, Eguiluz-de la Barra A, Aguilar-Castellanos E, Falconí-Palomino J, Ibañez-Tremolada M, Varela M, Lorenzo JC (2009) Field performance of new in vitro androgenesis-derived double haploids of barley. Euphytica 166:269–276

    Article  Google Scholar 

  • González-Olmedo JL, Garza Y, Jumwa AM, Romelio A (2017) News from Cuba. Bioproductivity and climatic changes: pineapple plants treated with jasmonates. Pineap News 24:17–18

    Google Scholar 

  • Granahan J, Sweet J (2001) An evaluation of atmospheric correction techniques using the spectral similarity scale. IEEE 5:2022–2024

    Google Scholar 

  • Hernández L, Gómez D, Valle B, Tebbe CC, Trethowan R, Acosta R, Yabor L, Lorenzo JC (2018) Carotenoids in roots indicated the level of stress induced by mannitol and sodium azide treatment during the early stages of maize germination. Acta Physiol Plant 40:163

    Article  Google Scholar 

  • Ichino M (1988) General metrics for mixed features-the cartesian space theory for pattern recognition. IEEE 1:494–497

    Google Scholar 

  • Jafar M, Zilouchian A (2001) Application of soft computing for desalination technology. In: Zilouchian A, Jamshidi M (eds) Intelligent control systems using soft computing methodologies. CRC Press, Boca Raton, pp 315–353

    Google Scholar 

  • Kantardzic M (2003) Data mining: concepts, models, methods and algorithms. Technometrics 45:277

    Google Scholar 

  • Kogan J (2007) Introduction to clustering large and high dimensional data. Cambridge University Press, New York

    Google Scholar 

  • Krzanowski WJ (2004) Biplots for multifactorial analysis of distance. Biometrics 60:517–524

    Article  CAS  Google Scholar 

  • Lorenzo JC, Varela M, Hernández M, Gutiérrez A, Pérez A, Loyola O (2013) Integrated criteria to identify the best treatment in plant biotechnology experiments. Acta Physiol Plant 35:3261–3264

    Article  CAS  Google Scholar 

  • Lorenzo JC, Yabor L, Medina N, Quintana N, Wells V (2015) Coefficient of variation can identify the most important effects of experimental treatments. Not Bot Horti Agrobo Cluj-Nap 43:287–291

    Article  Google Scholar 

  • Moreno HA, Rodríguez DI, González-Olmedo JL, Mangar A (2017) Ácido jasmónico como regulador de estrés en vitroplantas de piña cultivar MD-2 en la fase de aclimatización. Rev Cient Agroecosist 5:97–108

    Google Scholar 

  • Murashige T, Skoog F (1962) A revised medium for rapid growth and bioassays with tobacco tissue culture. Physiol Plant 5:473–497

    Article  Google Scholar 

  • Porra R (2002) The chequered history of the development and use of simultaneous equations for the accurate determination of chlorophylls a and b. Photosynth Res 73:149–156

    Article  CAS  Google Scholar 

  • Py C, Lacoeuille JJ, Teisson C (1984) L’ananas, sa culture, ses produits: techniques agricoles et productions tropicales Maisoenneuve Larose, Paris, pp 44–45

  • Salisbury FB, Ross CW (1992) Plant physiology, 4th edn. Wadsworth Publishing Company, Belmont, p 759

    Google Scholar 

  • Świa̧tek A, Lenjou M, Van Bockstaele D, Inzé D, Van Onckelen H (2002) Differential effect of jasmonic acid and abscisic acid on cell cycle progression in tobacco BY-2 cells. Plant Physiol 128:201–211

    Article  Google Scholar 

  • Tavazoie S, Hughes J, Campbell M (1999) Systematic determination of genetic network architecture. Nat Genet 22:281–285

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This research was supported by the Bioplant Centre (University of Ciego de Ávila, Cuba), the Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López (Ecuador), and the University of KwaZulu-Natal (South Africa).

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Authors and Affiliations

  1. University of Ciego de Ávila, 69450, Ciego de Ávila, Cuba

    Ariel Villalobos-Olivera, Lázaro Hernández, Julia Martínez, Nicolás Quintana, Lourdes Yabor, Marcos E. Martínez-Montero, Justo González-Olmedo & José Carlos Lorenzo

  2. Campus Politécnico El Limón, Carrera de Ingeniería Agrícola, Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López (ESPAMMFL), Calceta, Manabí, Ecuador

    Byron E. Zevallos

  3. School of Life Sciences, University of KwaZulu-Natal, Durban, 4001, South Africa

    Sershen

Authors
  1. Ariel Villalobos-Olivera
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  2. Lázaro Hernández
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  3. Julia Martínez
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  4. Nicolás Quintana
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  5. Byron E. Zevallos
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  6. Lourdes Yabor
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  7. Marcos E. Martínez-Montero
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  8. Justo González-Olmedo
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  9. Sershen
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  10. José Carlos Lorenzo
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Contributions

AVO, LH, JM, NQ, BEZ, LY, MEMM, JGO, S, and JCL designed the research; AVO, LH, and JM conducted the experiment; AVO, NQ, BEZ, LY, MEMM, JGO, S, and JCL analyzed the data and wrote the paper; and JCL had primary responsibility for the final content. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to José Carlos Lorenzo.

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Informed consent was obtained from all individual participants included in the study. Additional informed consent was obtained from all individual participants for whom identifying information is included in this article.

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The authors declare that they have no conflict of interest.

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Editor: Yong Eui Choi

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Villalobos-Olivera, A., Hernández, L., Martínez, J. et al. Euclidean distance can recognize the Biojas® concentration that produces the ideal physiological status of pineapple in vitro plantlets. In Vitro Cell.Dev.Biol.-Plant 56, 259–263 (2020). https://doi.org/10.1007/s11627-019-10023-5

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  • DOI: https://doi.org/10.1007/s11627-019-10023-5

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