Estimated leaf area of yacon, Smallanthus sonchifolius (Poepp. & Endl.) H. Rob., through an indirect method.
DOI:
https://doi.org/10.15517/am.v28i1.24350Keywords:
Andean root, morphotypes, allometry, linear regression.Abstract
The objective of this study was to estimate the leaf area of eight yacon morphotypes by simple linear regression analysis. The research was conducted between 2014 and 2015, in the Andean Roots and Tubers Program of the National University of Cajamarca, Peru (7° 10’ 00’’ S, 78° 30’00’’ W, 2650 masl). One hundred leaves of basal, middle and terminal strata of each morphotype in full bloom, were taken. The outlines of fresh leaves were drawn on paper and the blade’s length (L) and greater width (W), was measured. The measured blade’s area (or actual) was determined with digital planimeter. With the measured area (dependent variable) and the values of length, width, squared length, squared width, length x width and length/width (as independent variables), the regression analysis for each morphotype, was performed. In all morphotypes, except in two, the best equations to estimate the leaf area, were those in which intervened the product of L x W. The equation which allowed to estimate the leaf area of the morphotypes together was A= 20.41 + 0.4167 (L x W) (r2 = 0.89). Petiole area of the studied morphotypes represented 15% of the total leaf area.
Downloads
References
Arnao, I., J. Seminario, R. Cisneros, y J. Trabuco. 2011. Potencial antioxidante de 10 accesiones de yacón Smallanthus sonchofolius (Poepp. & Endl.) H. Robinson, procedentes de Cajamaraca-Perú. An. Fac. Med. 72:239-243.
Bhatt, M., and S.V. Chanda. 2003. Prediction of leaf area in Plaseolus vulgaris by non-destructive method. Bul. J. Plant Physiol. 29:96-100.
Blanco, F.F., y M.V. Folegatti. 2005. Estimation of leaf area for greenhouse cucumber by linear measurements under salinity and grafting. Sci. Agric. (Piracicaba Braz.) 62: 305-309. doi:10.1590/S0103-90162005000400001
Brito, E., E. Romero, S. Casen, L. Alonso, y P. Digonzelli. 2007. Métodos no destructivos de estimación de área foliar por tallo en la variedad LCP 85-384 de caña de azúcar. Rev. Ind. Agric. Tucumán 84(2):29-32.
Burgos, A.M., M.M. Avanza, C.N. Balbi, J. Prause, y J.A. Arguello. 2010. Modelos para la estimación no destructiva del área foliar de dos cultivares de mandioca (Manihot esculenta Grantz) en la Argentina. AgriScientia XXVII:55-61.
Cabezas-Gutiérrez, M., F. Peña, H.W. Duarte, J.F. Colorado, y R. Lora. 2009. Un modelo para la estimación del área foliar en tres especies forestales de forma no destructiva. Rev. UDCA Act. Div. Cient. 12(1):121-130.
Cardona, C., H. Araméndiz, y C. Barrera. 2009. Estimación del área foliar en papaya (Carica papaya L.) basada en muestreo no destructivo. Rev. UDCA Act. Div. Cient. 12(1):131-139.
Carmassi, G., G. Incrocci, A. Incrocci, and A. Pardossi. 2007. Non-destructive estimation of leaf area in Solanum lycopersicum L. and gerbera (Gerbera jamesonii H. Bolus). Agr. Med. 137:172-176.
Choque-Delgado, G.T., W.M. Tamashiro, M.R. Maróstica, and G.M. Pastore. 2013. Yacon (Smallanthus sonchifolius): A functional food. Plant Foods Hum. Nutr. 68:222-228. doi:10.1007/s11130-013-0362-0.
Comisión del Codex Alimentarius. 2012. Propuesta de nuevo trabajo para una norma regional del codex para el yacón [Smallanthus sonchifolius (Poepp. et. Endl.) H. Robin- son]. Programa conjunto FAO/OMS sobre normas alimentarias. Comité coordinador FAO/OMS para América Latina y el Caribe. ftp://ftp.fao.org/codex/meetings/ cclac/cclac18/la18_15s (consultado 20 dic. 2015).
Espindula, M.C., M.A. Abdão dos Pasos, R. Jaraceski, F.L. Partelli, A.R. Ramalho, e A.L. Marcolan. 2013. E ciência de uma equaçao para determinação indireta da área foliar de caffeiros ‘conilon’. Em: VIII Simposio de Pesquisa dos cafés do Brasil, 25-28 nov. 2013. Salvador, BA, BRA. http://www.alice.cnptia.embrapa.br/bitstream/doc/978297/1/Espindulaetal.2013Resumo. pdf (consultado 05 jul. 2014).
Fallovo, C., V. Cristofori, E. Mendoza de Gyves, C.M. Rivera, R. Rea, and S. Fanasca. 2008. Leaf area estimation model for small fruits from linear measurements. Hort. Sci. 43:2263-2267.
Galindo, R., y J. Clavijo. 2007. Modelos alométricos para estimar el área de los foliolos de arveja (Pisum sativum L.). Rev. Corpoica Tec. Agropec. 8(1):37-43.
Gardner, F.P., R.B. Pearce, and R.L. Mitchel. 1985. Physiology of crop plants. Iowa State University Press, IL, USA.
Gayon, J. 2000. History of the concept of allometry. Amer. Zool. 40:748-758. doi:10.1093/icb/40.5.748
Giuffrida, F., Y. Rouphael, S. Toscano, D. Scuseri, D. Romano, C.M. Rivera, G. Golla, and C. Leonardi. 2011. A simple model for nondestructive leaf area estimation in bedding plants. Photosynthetica 49:380- 388. doi:10.1007/s11099-011-0041-z.
Hermann, M., I. Freire, and C. Pasos.1999. Compositional diversity of the yacon storage root. In: USAID, editor, Impact on a changing world: program report 1997- 98. International Potato Center (CIP), Lima, PER. p. 425-432.
Jerez, E., R. Martín, y Y. Díaz. 2014. Estimación de la super cie foliar en dos variedades de papa (Solanum tuberosum L.) por métodos no destructivos. Cultivos Trop. 35(1):57-61.
Legorburo, A., F. Montero, J. De Juan, y M. Picornell. 2007. Estudio comparativo de tres sistemas de estimación del área foliar en Vitis vinifera L. (cv. Cencibel). Actas Hortic. 48:190-193.
Manrique, I., A. Párraga, y M. Hermann. 2005. Jarabe de yacón: principios y procesamiento. Centro Internacional de la Papa, Universidad Nacional Daniel Alcides Carrion, Fundación Erbacher, Agencia Suiza para el Desarrollo y la Cooperación, Lima, PER.
Manrique, I., R. Gonzales, A. Valladolid, R. Blas, y L. Lizárraga. 2014. Producción de semilla de yacón (Smallanthus sonchifolius (Poepp. & Endl.) mediante técnicas de polinización controladas. Ecol. Apl. 13:135-145.
Mansilla, R.C., C. López, R. Blas, J. Chia, y J. Baudin. 2006. Análisis de la variabilidad molecular de un colección peruana de Smallanthus sonchifolius (Poepp. & Endl.) H. Robinson “yacón”. Ecol. apl. 5:75-80.
Montgomery, E.G. 1911. Correlation studies in corn. A. Rep. Nebraska Agric. Exp. Sta. 24:108-159.
Olfati, J.A., Gh. Peyvast, H. Shabani, and Z. Nosratie-Rad. 2010. An estimation of individual leaf area in cabbage and broccoli using non-destructive metods. J. Agr. Sci. Tech. 12:627-632.
Pérez, J., J.A. Díaz, y A. García. 2009. Modelos adaptativos en zoología (manual de prácticas) 2. Tamaño, forma y alometría. Reduca (Biología). Serie Zool. 2(2):20-30.
Rodríguez, W., y D. Leihner. 2006. Análisis del crecimiento vegetal. En: D Villalobos, editor, Fisiología de la producción de los cultivos tropicales. Vol. 7. Editorial Universidad de Costa Rica, San José, CRC. p.1-37.
Rojas, J.M., y J. Seminario. 2014. Método alométrico para estimar el área foliar de “valeriana” (Valeriana pilosa Ruíz & Pav.) al estado silvestre. Arnaldoa 21:305-316.
Satoh, H., M.T. Nguyen, A. Kudoh, and T. Watanabe. 2013. Yacon diet (Smallanthus sonchifolius, Asteraceae) improves hepatic insulin resistance via reducing Trb3 expression in Zucker fa/fa rats. Nutr. & Diabetes 3:e70. doi:10.1038/nutd.2013.11.
Seminario, J., M. Valderrama, y H. Honorio. 2001. Propagación por esquejes de tres morfotipos de yacón, Smallanthus sonchifolius (Poepp. & Endl.) H. Robinson. Agron. XLVII: 12-20.
Seminario, J., M. Valderrama, e I. Manrique. 2003. El yacón: fundamentos para el aprovechamiento de un recurso promisorio. Centro Internacional de la Papa (CIP), Uni- versidad Nacional de Cajamarca, Agencia Suiza para el Desarrollo y la Cooperación (COSUDE), Lima, PER.
Seminario, J., M. Valderrama, y J. Romero. 2004. Variabilidad morfológica y distribución geográ ca del yacón, Smallanthus sonchifolius (Poepp. & Endl.) H. Robinson, en el norte peruano. Arnaldoa 11(2): 139-160.
Shingleton, A. 2010. Allometry: the study of biological scaling. Nature Educ. Knowl. 3(10):2. http://www. nature.com/scitable/knowledge/library/allometry-the-study-of-biological-scaling-13228439.
Vásquez, V. 2013. Experimentación agrícola. Soluciones son SAS. CONCYTEC. Cajamarca, PER.
Valentová, K., and J. Ulrichová. 2003. Smallanthus sonchifolius and Lepidium meyenii - prospective andean crops for the prevention of chronic diseases. Biomed. Papers 147:119-130. doi:10.5507/bp.2003.017
Vegas, D.P., O. Bracamonte, y A. Valladolid. Caracterización morfológica de seis variedades parentales de yacón (Smallanthus sonchifolius) y trece cruzas obtenidas de un plan de hibridación. Rev. Peru. Biol. 22:175-192.
Williams, L., and T.E. Martinson. 2003. Nondestructive leaf area estimation of ‘Niagara’ and ‘DeChaunac’ grapevines. Sci. Hortic. 98:493-498.
Zambon da Silva, W., S.V. Batista Brinate, M.A. Tomaz, J.F. Texeira do Amaral, W. Nuñez Rodríguez, e L. Deleon Martins. 2011. Métodos de estimativa de área foliar em cafeeiro. Goiâna 7:746-759. doi:10.1016/S0304-4238(03)00020-7.
Zenginbal, H., M. Özcan, S. Uzun, and C. Çirak. 2006. Non-destructive estimation of leaf area in tea (Camelia sinensis). Res. J. Bot. 1:46-51. doi:10.3923/rjb.2006.46.51.
Published
How to Cite
Issue
Section
License
1. Proposed policy for open access journals
Authors who publish in this journal accept the following conditions:
a. Authors retain the copyright and assign to the journal the right to the first publication, with the work registered under the attribution, non-commercial and no-derivative license from Creative Commons, which allows third parties to use what has been published as long as they mention the authorship of the work and upon first publication in this journal, the work may not be used for commercial purposes and the publications may not be used to remix, transform or create another work.
b. Authors may enter into additional independent contractual arrangements for the non-exclusive distribution of the version of the article published in this journal (e.g., including it in an institutional repository or publishing it in a book) provided that they clearly indicate that the work was first published in this journal.
c. Authors are permitted and encouraged to publish their work on the Internet (e.g. on institutional or personal pages) before and during the review and publication process, as it may lead to productive exchanges and faster and wider dissemination of published work (see The Effect of Open Access).
