يعرض 1 - 20 نتائج من 68 نتيجة بحث عن '"Nutrición De Cultivos"', وقت الاستعلام: 0.84s تنقيح النتائج
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    المصدر: Agronomía Colombiana; Vol. 38 Núm. 2 (2020); 253-260 ; Agronomía Colombiana; Vol. 38 No. 2 (2020); 253-260 ; Agronomía Colombiana; v. 38 n. 2 (2020); 253-260 ; 2357-3732 ; 0120-9965

    وصف الملف: application/pdf

    Relation: https://revistas.unal.edu.co/index.php/agrocol/article/view/78075/76692; Batjes, N.H. 1996. Total carbon and nitrogen in the soils of the world. Eur. J. Soil Sci. 47(2), 151-163. Doi:10.1111/j.1365-2389.1996.tb01386.x; Carvajal, M., P. Zuluaga, O.L. Ocampo, and D. Duque. 2019. Las exportaciones de plátano como una estrategia de desarrollo rural en Colombia. Apuntes del Cenes 38(68), 113-148. Doi:10.19053/01203053.v38.n68.2019.8383; Fassbender, H.W. 1993. Modelos edafológicos de sistemas agroforestales. Serie de materiales de enseñanza No. 29. Centro Agronómico Tropical de Investigación y Enseñanza CATIE, Turrialba, Costa Rica; Ferrera, R. and A. Alarcón. 2011. La microbiología del suelo en la agricultura sostenible. Cienc. Ergo-Sum 8(2), 175-183; Flores, C. 1991. Respuesta del cultivo del banano (Musa AAA) a diferentes formas de colocación de fertilizante. X Reunión de la Asociación para la Cooperación en Investigación de Banano en el Caribe y América Tropical ACORBAT. 1991, October, Tabasco, Mexico.; Fuentes, W. and O. González. 2007. Estimación de la mineralización neta de nitrógeno del suelo en sistemas agroforestales y a pleno sol en el cultivo del café (Coffea arabica L.), en el Pacifíco de Nicaragua, departamento de Carazo. Undergraduate thesis, Universidad Nacional Agraria, Nicaragua.; Gasser, J.K.R., D.J. Greenland, and R.A. Rawson. 1967. Measurement of losses from fertilizer nitrogen during incubation in acid sandy soils and during subsequent growth of ryegrass, using 15N labelled fertilizers. J. Soil Sci. 18(2), 289-300. Doi:10.1111/j.1365-2389.1967.tb01507.x; Guerrero, R. 2004. Propiedades generales de los fertilizantes. Monómeros Colombo Venezolanos S.A.; Gutiérrez, J.C. 2007. Estudio detallado de suelos y clasificación de tierras con fines de riego del campo experimental de AUGURA. Cenibanano, Carepa, Colombia.; Havlin, J.L., J.D. Beaton, S.L. Tisdale, and W.L. Nelson. 2014. Soil fertility and fertilizers: an introduction to nutrient management. Pearson Educational, New Jersey, USA.; Jones, C. and J. Jacobsen. 2005. Nitrogen cycling, testing and fertilizer recommendations. Nutrient Management. A self-study course from the MSU Extension Service Continuing Education Series. Montana State University, Bozeman, USA.; Ju, X.T., G.X. Xing, X.P. Chen, S.L Zhang, L.J. Zhang, X.J. Liu, Z.L Cui, B. Yin, P. Christie, Z.L. Zhu, and F.S. Zhang. 2009. Reducing environmental risk by improving N management in intensive Chinese agricultural systems. Proc. Natl. Acad. Sci. U.S.A. 106(9), 3041-3046. Doi:10.1073/pnas.0813417106; Liu, Y., B. Zhang, C. Li, F. Hu, and B. Velde. 2008. Long-term fertilization influences on clay mineral composition and ammonium adsorption in a rice paddy soil. Soil Sci. Soc. Am. J. 72(6), 1580-1590. Doi:10.2136/sssaj2007.0040; López, A. and J. Espinosa. 1998. Manual de nutrición y fertilización del banano. International Plant Nutrition Institute, Quito.; Mengel, K. and E.A. Kirkby. 2000. Principios de nutrición vegetal. International Potash Institute, Basel, Switzerland.; Moreno, J. and R. Moral. 2008. Compostaje. Mundi Prensa, Madrid.; Mosquera, C.S., I. Bravo, and E.W. Hansen. 2007. Comportamiento estructural de los ácidos húmicos obtenidos en un suelo Andisol del departamento del Cauca. Rev. Colomb. Quim. 36(1), 36-42. Doi:10.15446/rev.colomb.quim; Navarro, G. 2003. El suelo y los elementos químicos esenciales para la vida vegetal. Mundi Prensa, Madrid.; Nave, L.E., E.D. Vance, C.W. Swanston, and P.S. Curtis. 2009. Impacts of elevated N inputs on north temperate forest soil C storage, C/N, and net N-mineralization. Geoderma 153(1-2), 231-240. Doi:10.1016/j.geoderma.2009.08.012; Nyomby, K., P.J.A. van Asten, M. Corbeels, G. Taulya, P.A. Leffelaar, and K.E. Giller. 2010. Mineral fertilizer response and nutrient use efficiencies of East African Highland banana (Musa spp. AAA-EAHB. cv. Kisansa). Field Crops Res. 117(1), 38-50. Doi:10.1016/j.fcr.2010.01.011; Orozco, J. and O. Pérez. 2006. Tensión de humedad del suelo y fertilización nitrogenada en plátano (Musa Aaa Simmonds) cv. Gran Enano. Agrociencia 40(2), 149-162.; Osorio, N.W. 2014. Manejo de los nutrientes en suelos del trópico. Editorial L. Vieco S.A.S. Medellin, Colombia.; Piccolo, A. 2001. The supramolecular structure of humic substances. Soil Sci. 166(11), 810-832.; Robert, M. 1996. Le sol: interface dans l’environnement, ressource pour le développement. Masson, Paris.; Robinson, J. and V. Galán. 2012. Plátanos y Bananas. Mundi-Prensa, Madrid.; Rosales, F.E., L.E. Pocasangre, J. Trejos, E. Serrano, O. Acuña, A. Segura, E. Delgado, T. Pattison, W. Rodríguez, and C. Staver. 2006. Guía de diagnóstico de la calidad y la salud de suelos bananeros. pp. 198-206. In: XVII Reuniāo internacional de Associaçāo para a cooperaçāo nas pesquisas sobre banana no Caribe e na América Tropical. 2006, October 15-20, Joinville, Santa Catarina, Brazil.; Torres, J., J. Sánchez, and D. Cayón. 2017. Nutrient accumulation models in the banana (Musa AAA Simmonds cv . Williams ) plant under nitrogen doses. Acta Agron. 66(3), 391-396. Doi:10.15446/acag.v66n3.58238; Srikul, S. and D.W. Turner. 1995. High N supply and soil water deficits change the rate of fruit growth of banana (cv. “Williams”) and promote tendency to ripen. Sci. Hortic. 62(3), 165-174. Doi:10.1016/0304-4238(95)00765-L; Zapata, R. 2004. Química de la acidez del suelo. Cargraphics, Medellin, Colombia.; https://revistas.unal.edu.co/index.php/agrocol/article/view/78075

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    المؤلفون: Martínez M., Luis Joel

    المصدر: Agronomía Colombiana; Vol. 35 Núm. 2 (2017); 205-215 ; Agronomía Colombiana; Vol. 35 No. 2 (2017); 205-215 ; Agronomía Colombiana; v. 35 n. 2 (2017); 205-215 ; 2357-3732 ; 0120-9965

    وصف الملف: application/pdf

    Relation: https://revistas.unal.edu.co/index.php/agrocol/article/view/62875/63793; Barnes, R., M. Dhanoa, and S. Lister. 1993. Letter: Correction to the description of Standard Normal Variate (SNV) and De-Trend (DT) Transformations in practical spectroscopy with applications in food and beverage analysis. J. Near Infrar. Spectros. 1(1), 185. Doi:10.1255/jnirs.21; Cao, Q., Y. Miao, G. Feng, X. Gao, F. Li, B. Liu, S. Yue, S. Cheng, S. Lu, and R. Khosla. 2015. Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems. Comput. Electron Agric. 112, 54-67. Doi:10.1016/j.compag.2014.08.012; Chen, P., D. Haboudane, N. Tremblay, J. Wang, P. Vigneault, and B. Li. 2010. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat. Remote Sens. Environ. 114(9), 1987-1997. Doi:10.1016/j.rse.2010.04.006; Cho, M.A. and A.K. Skidmore. 2006. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method. Remote Sens. Environ. 101(2), 181-193. Doi:10.1016/j.rse.2005.12.011; Cho, M.A. 2007. Hyperspectral remote sensing of biochemical and biophysical parameters: The derivative red-edge “double-peak feature”, a nuisance or an opportunity?, Thesis. Twente University, Enschede, The Netherlands. Congedo, L. 2016. Semi-automatic classification plugin documentation. Doi:10.13140/RG.2.2.29474.02242/1; Curran, P.J., J. L. Dungan, B. A. Macler, and S. E. Plumer.1991. The effect of a red leaf pigment on the relationship between red edge and chlorophyll concentration. Remote Sens. Environ. 35(1), 69-76. Doi:10.1016/0034-4257(91)90066-F; Datt, B. and M. Paterson. 2000. Vegetation-soil spectral mixture analysis. IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No. 00CH37120) 5, 1936-1938. Doi:10.1109/IGARSS.2000.858186; Delegido, J., J. Verrelst, L. Alonso, and J. Moreno. 2011. Evaluation of sentinel-2 red-edge bands for empirical estimation of green LAI and chlorophyll content. Sensors 11(7), 7063-7081. Doi:10.3390/s110707063; European Space Agency (ESA). 2016. SENTINEL-2 User Guide. ESA. In: https://earth.esa.int/web/sentinel/user-guides/sentinel- 2-msi; consulted: June, 2016.; Filella, I. and J. Peñuelas. 1994. The red edge position and shape as indicator of plant chlorophyll content, biomass and hydric status. Int. J. Remote Sens. 15(7), 1459-1470. Doi:10.1080/01431169408954177; Frampton, W.J., J. Dash, G. Watmough, and E. J. Milton. 2013. Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation. ISPRS 82, 83-92. Doi:10.1016/j.isprsjprs.2013.04.007; Gitelson, A.A., Y.J Kaufman, and M.N. Merzlyak. 1996. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ, 58(3), 289-298. Doi:10.1016/S0034-4257(96)00072-7; Gitelson, A.A. and M.N Merzlyak. 1996. Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll. J. Plant Physiol. 148(3-4), 494-500. Doi:10.1016/S0176-1617(96)80284-7; Gitelson, A.A., M.N. Merzlyak, and H.K Lichtenthaler. 1996. Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm. J. Plant Physiol. 148(3-4), 501-508. Doi:10.1016/S0176-1617(96)80285-9; Gitelson, A.A, A. Viña, V. Ciganda, D. C. Rundquist, and T. J. Arkebauer. 2005. Remote estimation of canopy chlorophyll content in crops. Geophys. Res. Lett. 32(8), 1-4. Doi:10.1029/2005GL022688; Guyot, G. and F. Baret. 1988. Utilisation de la haute résolution spectrale pour suivre l’état des couverts végétaux. pp. 279-286. In: Proc. 4th International Colloquium on Spectral Signatures of Objects in Remote Sensing, Aussois, France.; Immitzer, M., F. Vuolo, and C, Atzberger. 2016. First experience with Sentinel-2 data for crop and tree species classifications in central Europe. Remote Sens. 8(3), 2-27. Doi:10.3390/rs8030166; Jordan, C.F. 1969. Derivation of leaf-area index from quality of light on the forest. Ecol. 50(4), 663-666. Doi:10.2307/1936256; Kochubey, S.M. and T.A Kazantsev. 2007. Changes in the first derivatives of leaf reflectance spectra of various plants induced by variations of chlorophyll content. J. Plant Physiol. 164(12), 1648-1655. Doi:10.1016/j.jplph.2006.11.007; Liang, S. 2004. Quantitative remote sensing of land surfaces. Wiley and Sons, Hoboken, NY, USA.; Malthus, T.J. and G. Dekker. 1995. First derivative indices for the remote-sensing of inland water-quality using high-spectralresolution reflectance. Environ. Int. 21(2), 221-232. Doi:10.1016/0160-4120(95)00012-7; Martinez, L.J. and A. Ramos. 2015. Estimation of chlorophyll concentration in maize using spectral reflectance. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-7/W3(May) 65-71. In: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/65/2015; consulted: June, 2016.; Mulla, D.J. 2013. Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosyst. Eng. Doi:10.1016/j.biosystemseng.2012.08.009; Peñuelas, J., M.F. Garbulsky, and I. Filella. 2011. Photochemical reflectance index (PRI) and remote sensing of plant CO2 uptake. New Phytol. 191(3), 596-599. Doi:10.1111/j.1469-8137.2011.03791.x; Qi, J., Y. Inoue, and N. Wiangwang. 2011. Hyperspectral remote sensing in global change studies. pp. 69–90. In: Hyperspectral remote sensing of vegetation. CRC Press. Doi:10.1201/b11222-6; Rouse, J.W., Jr., R.H. Haas, J.A. Schell, and D.W. Deering.1974. Monitoring vegetation systems in the Great Plains with ERTS. p. 309. In: Freden, S.C., E.P. Mercanti, and M.A. Becker (eds.).Third Earth Resources Technology Satellite-1 Symposium- Vol. I: Technical Presentations. NASA SP-351. NASA, Washington,D.C.; Ruiz, M. and P. Chen. 1982. Use of the first derivative of spectral reflectance to detect mold on tomatoes. Trans. ASAE 25(3), 759-762.; Savitzky, A. and M.J. Golay. 1964. Smoothing and differentiation of data by simplified least squares procedures. Analyt. Chem. 36(8), 1627-1639. Doi:10.1021/ac60214a047; Schlemmer, M.R., D.D. Francis, J.F. Shanahan, and J.S. Schepers. 2005. Remotely measuring chlorophyll content in corn leaves with differing nitrogen levels and relative water content. Agron. J. 97(1), 106-112. Doi:10.1021/ac60214a047; Thorp, K.R., L. Tian, H. Yao, and L. Tang. 2004. Narrow-band and derivative-based vegetation indices for hyperspectral data. Trans. ASAE 47(1), 291-299. Doi:10.13031/2013.15854; Tsai, F. and W. Philpot. 1998. Derivative analysis of hyperspectral data. Remote Sens. Environ. 66(1), 41-51. Doi:10.1016/S0034-4257(98)00032-7; Usha, K. and B. Singh. 2013. Potential applications of remote sensing in horticulture - A review. Sci. Hortic. 153, 71-83. Doi:10.1016/j.scienta.2013.01.008; Yao, H., Y. Huang, Z. Hruska, S.J. Thomson, and K.N. Reddy. 2012. Using vegetation index and modified derivative for early detection of soybean plant injury from glyphosate. Comput. Electron. Agric. 89, 145-157. Doi:10.1016/j.compag.2012.09.001; Yu, K., V. L. Wiedemann, X. Chen, and G. Bareth. 2014. Estimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects. ISPRS J. Photogrammetry Remote Sens. 97, 58-77. Doi:10.1016/j.isprsjprs.2014.08.005; Zhang, C. and J.M. Kovacs. 2012. The application of small unmanned aerial systems for precision agriculture: A review. Precision Agric. 13(6), 693-712. Doi:10.1007/s11119-012-9274-5; https://revistas.unal.edu.co/index.php/agrocol/article/view/62875

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    المصدر: Revista Ciencia y Agricultura, ISSN 2539-0899, Vol. 18, Nº. 3, 2021 (Ejemplar dedicado a: Septiembre-Diciembre), pags. 29-46

    وصف الملف: application/pdf

    Relation: https://dialnet.unirioja.es/servlet/oaiart?codigo=8132336; (Revista) ISSN 0122-8420; (Revista) ISSN 2539-0899

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