Efecto multivariado de mezclas de fertilizantes orgánicos e inorgánicos sobre el crecimiento de Lactuca sativa L.
DOI:
https://doi.org/10.57188/manglar.2023.015Resumen
El objetivo de esta investigación fue evaluar el efecto multivariado de mezclas de fertilizantes orgánicos e inorgánicos sobre el crecimiento de Lactuca sativa L. Para ello, se realizó un diseño completo multivariado al azar, con 5 repeticiones en 20 parcelas, a las que se distribuyeron los tratamientos al azar. Los datos sobre el número de hojas por planta y la altura de la lechuga se obtuvieron en el momento de la cosecha en el campo de estudio donde se realizó el experimento. Se demostró significativamente el cumplimiento de los supuestos básicos de normalidad y homogeneidad multivariante de los residuos experimentales, evidenciando la adecuación del modelo. Asimismo, los niveles de fertilizantes orgánicos e inorgánicos tuvieron efectos significativos sobre el número de hojas y la altura de la planta de lechuga de forma colectiva e individual.
Descargas
Referencias
Abedin, T., Yamamoto, A., Hayashi, T., & Hosokawa, M. (2021). Drip fertigation enhances the growth of hydroponic lettuce (Lactuca sativa) using polyester fiber substrate. Scientia Horticulturae, 276, 109604.
Alexopoulos, E. C. (2010). Introduction to Multivariate Regression Analysis. Hippokratia, 14(Suppl 1), 23-28.
Bhunia, S., Bhowmik, A., Mallick, R., Debsarcar, A., & Mukherjee, J. (2021). Application of recycled slaughterhouse wastes as an organic fertilizer for successive cultivations of bell pepper and amaranth. Scientia Horticulturae, 280, 109927.
Bhunia, S., Bhowmik, A., Pramanik, A., Mallick, R., & Mukherjee, J. (2023). Successive cultivation of cabbage and spinach by land application of recycled slaughterhouse waste: Benefit to farmers and agro-ecosystem health. Environmental Technology & Innovation, 29, 102967.
Chinta, Y. D., Uchida, Y., & Araki, H. (2020). Availability of nitrogen supply from cover crops during residual decomposition by soil microorganisms and its utilization by lettuce (Lactuca sativa L.). Scientia Horticulturae, 270, 109415. https://doi.org/10.1016/j.scienta.2020.109415
Cuadras, C. M. (2014). Nuevos métodos de análisis multivariante. C.M. Cuadras. de Lima Franzen, F., Rodríguez de Oliveira, M. S., Lidório, H. F., Farias Menegaes, J., & Martins Fries, L. L. (2019). Composición química de pétalos de flores de rosa, girasol y caléndula para su uso en la alimentación humana. Ciencia y Tecnología Agropecuaria, 20(1), 149-168.
Diggle, P. J. (2015). Statistics: A data science for the 21st century. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178(4), 793-813.
Fernández Escobar, R., Trapero Casas, A., & Domíguez Jiménez, J. (2018). Experimentación agraria. Ediciones Díaz de Santos.
Finch, W. H. (2022). Multivariate analysis of variance for multilevel data: A simulation study comparing methods. The Journal of Experimental Education, 90(1), 173-190.
Gao, M., Xu, Y., Chang, X., Dong, Y., & Song, Z. (2020). Effects of foliar application of graphene oxide on cadmium uptake by lettuce. Journal of Hazardous Materials, 398, 122859.
Garza-Alonso, C. A., Juárez-Maldonado, A., González-Morales, S., Cabrera-De la Fuente, M., Cadenas-Pliego, G., Morales-Díaz, A. B., Trejo-Téllez, L. I., Tortella, G., & Benavides-Mendoza, A. (2023). ZnO nanoparticles as potential fertilizer and biostimulant for lettuce. Heliyon, e12787.
Giménez, A., Fernández, J. A., Pascual, J. A., Ros, M., López-Serrano, M., & Egea-Gilabert, C. (2019). An agroindustrial compost as alternative to peat for production of baby leaf red lettuce in a floating system. Scientia Horticulturae, 246, 907-915. https://doi.org/10.1016/j.scienta.2018.11.080
Gupta, S., Mateu, J., Degbelo, A., & Pebesma, E. (2018). Quality of life, big data and the power of statistics. Statistics & Probability Letters, 136, 101-104.
Jalajakshi, V., & Myna, A. N. (2022). Importance of statistics to data science. Global Transitions Proceedings, 3(1), 326-331.
Jung, H. Y., & Kim, J. K. (2020). Complete reutilisation of mixed mackerel and brown seaweed wastewater as a high-quality biofertilizer in open-flow lettuce hydroponics. Journal of Cleaner Production, 247, 119081. https://doi.org/10.1016/j.jclepro.2019.119081
Kim, M. J., Moon, Y., Tou, J. C., Mou, B., & Waterland, N. L. (2016). Nutritional value, bioactive compounds and health benefits of lettuce (Lactuca sativa L.). Journal of Food Composition and Analysis, 49, 19-34.
Lei, C., & Engeseth, N. J. (2021). Comparison of growth characteristics, functional qualities, and texture of hydroponically grown and soil-grown lettuce. LWT, 150, 111931. https://doi.org/10.1016/j.lwt.2021.111931
Liu, Q., Huang, L., Chen, Z., Wen, Z., Ma, L., Wu, Y., Liu, Y., & Feng, Y. (2022). Biochar and its combination with inorganic or organic amendment on growth, uptake and accumulation of cadmium on lettuce. Journal of Cleaner Production, 370, 133610.
Majid, M., Khan, J. N., Ahmad Shah, Q. M., Masoodi, K. Z., Afroza, B., & Parvaze, S. (2021). Evaluation of hydroponic systems for the cultivation of Lettuce (Lactuca sativa L., var. Longifolia) and comparison with protected soil-based cultivation. Agricultural Water Management, 245, 106572. https://doi.org/10.1016/j.agwat.2020.106572
Mejía-Trejo, J. (2017). Las Ciencias De La Administración Y El Análisis Multivariante. Proyectos De Investigación, Análisis Y Discusión De Resultados. Volumen II. Técnicas Interdependientes (Management Sciences and Multivariate Analyses. Research Projects, Analysis and Discussion of Results. Volume II. Interdependent Techniques.). Proyectos de Investigación, análisis y discusión de resultados, 2.
Mpai, S., Mokganya, L. M., Raphoko, L., Masoko, P., & Ndhlala, A. R. (2022). Untargeted metabolites and chemometric approach to elucidate the response of growth and yield attributes on different concentrations of an amino acid based biostimulant in two lettuce cultivars. Scientia Horticulturae, 306, 111478.
Muscolo, A., Marra, F., Canino, F., Maffia, A., Mallamaci, C., & Russo, Mt. (2022). Growth, nutritional quality and antioxidant capacity of lettuce grown on two different soils with sulphur-based fertilizer, organic and chemical fertilizers. Scientia Horticulturae, 305, 111421.
Nektarios, P. A., Ischyropoulos, D., Kalozoumis, P., Savvas, D., Yfantopoulos, D., Ntoulas, N., Tsaniklidis, G., & Goumenaki, E. (2022). Impact of substrate depth and fertilizer type on growth, production, quality characteristics and heavy metal contamination of tomato and lettuce grown on urban green roofs. Scientia Horticulturae, 305, 111318.
Ocean, N., Howley, P., & Ensor, J. (2019). Lettuce be happy: A longitudinal UK study on the relationship between fruit and vegetable consumption and well-being. Social Science & Medicine, 222, 335-345.
Pearson, K. (1901). LIII. On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2(11), 559-572. https://doi.org/10.1080/14786440109462720
Pizarro, M. D., Céccoli, G., Muñoz, F. F., Frizzo, L. S., Daurelio, L. D., & Bouzo, C. A. (2019). Use of raw and composted poultry litter in lettuce produced under field conditions: Microbiological quality and safety assessment. Poultry Science, 98(6), 2608-2614.
Sánchez Sellero, C. (2009). Tema 4. Análisis multivariante de la varianza (Departamento de Estadística, Análisis Matemático y Optimización. Universidad de Santiago de Compostela). http://eio.usc.es/eipc1/BASE/BASEMASTER/FORMULARIOS-PHP/MATERIALESMASTER/Mat_14_master0809multi-tema4.pdf
Sánchez-Santillán, P., Rivera-Cristóbal, C., Torres-Salado, N., Almaraz-Buendía, I., & Herrera-Pérez, J. (2022). Características químicas y fermentativas in vitro de dietas para becerros con inclusiones crecientes de vaina y hojas de Moringa oleifera. Ciencia y Tecnología Agropecuaria, 23(3).
StataCorp, L. (2017). Stata statistical software: Release 15 (2017). College Station, TX: StataCorp LP.
Taipe Cuadra, R., Fernández Curi, M., Villanueva Espinoza, M. E., & Gómez Bravo, C. (2022). Composición nutricional y digestibilidad de semilla, torta y cáscara de dos especies de sacha inchi (Plukenetia volubilis y Plukenetia huayllabambana). Ciencia y Tecnología Agropecuaria, 23(2).
Tang, Y., Gao, F., Guo, S., & Li, F. (2015). The morphology, physiology and nutritional quality of lettuce grown under hypobaria and hypoxia. Acta Astronautica, 112, 29-36. https://doi.org/10.1016/j.actaastro.2015.03.005
Todorov, H., Searle-White, E., & Gerber, S. (2020). Applying univariate vs. multivariate statistics to investigate therapeutic efficacy in (pre) clinical trials: A Monte Carlo simulation study on the example of a controlled preclinical neurotrauma trial. PLoS One, 15(3), e0230798.
Travieso, L. L., Leon, A. P., Logegaray, V. R., & Frezza, E. D. (2016). Loose leaf lettuce quality grown in two production systems. European Journal of Scientific Research, 12(30), 55-66.
Valderrama, A., Lay, J., Flores, Y., Zavaleta, D., & Delfín, A. R. (2020). Factorial design for preparing chitosan nanoparticles and its use for loading and controlled release of indole-3-acetic acid with effect on hydroponic lettuce crops. Biocatalysis and Agricultural Biotechnology, 26, 101640.
Wang, L., Tong, X., & Wang, Y. R. (2022). Statistics in everyone’s backyard: An impact study via citation network analysis. Patterns, 3(8), 100532.
Weihs, C., & Ickstadt, K. (2018). Data science: The impact of statistics. International Journal of Data Science and Analytics, 6, 189-194.
Yavuz, D., Rashid, B. A. R., & Seymen, M. (2023). The influence of NaCl salinity on evapotranspiration, yield traits, antioxidant status, and mineral composition of lettuce grown under deficit irrigation. Scientia Horticulturae, 310, 111776. https://doi.org/10.1016/j.scienta.2022.111776
Zhao, X., Sui, X., Zhao, L., Gao, X., Wang, J., Wen, X., & Li, Y. (2022). Morphological and Physiological Response Mechanism of Lettuce (Lactuca Sativa L.) to Consecutive Heat Stress. Scientia Horticulturae, 301, 111112. https://doi.org/10.1016/j.scienta.2022.111112
Publicado
Número
Sección
Licencia
Derechos de autor 2023 Luis Pajuelo, Carlos A. Minchon-Medina, Lilian R. Paredes-López
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Manglar is an open access journal distributed under the terms and conditions of Creative Commons Attribution 4.0 International license
