Ir al menú de navegación principal Ir al contenido principal Ir al pie de página del sitio

Vol. 18 Núm. 3 (2024)
En imprenta / In press

Sección de frutales

Propiedades del suelo asociadas al declive del aguacate antillano en los sistemas agroforestales de Montes de María, Colombia

https://doi.org/10.17584/rcch.2024v18i3.18008

Publicado 2024-09-01

  • Oscar Burbano-Figueroa
    • ,
  • Milena Moreno-Morán
    • ,
  • Jorge Luis Romero-Ferrer

Oscar Burbano-Figueroa
Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Turipaná Research Center, Cerete (Colombia)

Milena Moreno-Morán
Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Turipaná Research Center, Cerete (Colombia)

Jorge Luis Romero-Ferrer
Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Turipaná Research Center, Cerete (Colombia)

Decline of avocado trees in orchards located in the municipality of Carmen de Bolivar (Colombia). Photo: O. Burbano-Figueroa

Resumen

La región de Montes de María (MM) es uno de los mayores productores de aguacates antillanos en Colombia y ha experimentado una disminución significativa en la producción en las últimas dos décadas. Esta disminución se ha atribuido a varios factores bióticos, como Phytophthora cinnamomi Rands, termitas y escarabajos ambrosiales. Sin embargo, estos factores por sí solos no explican completamente la variabilidad espacial en la disminución de los árboles observada en la región. Este estudio tuvo como objetivo investigar el papel de las propiedades químicas y físicas del suelo en la exacerbación del declive del aguacate en MM. Se recolectaron muestras de suelo de 32 fincas de aguacates que mostraban diversos niveles de declive. Se empleó un análisis de componentes principales (PCF) para identificar los parámetros del suelo más fuertemente asociados con el declive del aguacate. El análisis reveló una amplia distribución de propiedades del suelo entre los huertos muestreados, con una variabilidad significativa en pH, Ca y capacidad de intercambio catiónico efectivo (ECEC). El análisis identificó cinco componentes principales, que explican el 76.8% de la varianza total en las propiedades del suelo. Entre estos, el PCF1, fuertemente asociado con Ca, pH y capacidad de intercambio catiónico efectivo (ECEC), mostró una correlación positiva significativa con la muerte descendente de ramas, lo que indica que los árboles de aguacate en suelos con niveles más altos de Ca y pH son más propensos al declive, probablemente debido a la clorosis férrica inducida en condiciones alcalinas. En contraste, el PCF5, asociado con fósforo (P) y materia orgánica (OM), mostró una fuerte correlación negativa con SDB, lo que sugiere que niveles más altos de P y OM pueden ayudar a reducir la gravedad de la enfermedad y ralentizar su progresión. Estos hallazgos subrayan la importancia de la gestión del suelo para mitigar el declive del aguacate y destacan la necesidad de estrategias integradas para abordar tanto los factores bióticos como abióticos.

Palabras clave

Persea americana Mill., Propiedades fisicoquímicas del suelo, Caribe colombiano, Phytophthora cinnamomi Rands, Muerte descendente de ramas

PDF (English)

Citas

  1. Ababa, G. 2024. Pathogenic diversity, ecology, epidemiology, and management practices of the potato bacterial wilt (Ralstonia solanacearum) disease. Cogent Food Agric. 10(1), 2407953. Doi: https://doi.org/10.1080/23311932.2024.2407953
  2. Arcoverde, S.N.S., J.W. Cortez, N. Olszevski, A.M. Salviano, and V. Giongo. 2019. Multivariate analysis of chemical and physical attributes of quartzipsamments under different agricultural uses. Eng. Agri. 39(4), 457-465. Doi: https://doi.org/10.1590/1809-4430-eng.agric.v39n4p457-465/2019
  3. Bauman, D., C. Fortunel, G. Delhaye, Y. Malhi, L.A. Cernusak, L.P. Bentley, S.W. Rifai, J. Aguirre-Gutiérrez, I.O. Menor, O.L. Phillips, B.E. McNellis, M. Bradford, S.G.W. Laurance, M.F. Hutchinson, R. Dempsey, P.E. Santos-Andrade, H.R. Ninantay-Rivera, J.R.C. Paucar, and S.M. McMahon. 2022. Tropical tree mortality has increased with rising atmospheric water stress. Nature 608(7923), 528-533. Doi: https://doi.org/10.1038/s41586-022-04737-7
  4. Broadbent, P. and K.F. Baker. 1974. Behaviour of Phytophthora cinnamomi in soils suppressive and conducive to root rot. Aust. J. Agric. Res. 25(1), 121-137. Doi: https://doi.org/10.1071/AR9740121
  5. Burbano-Figueroa, O. 2019. West Indian avocado agroforestry systems in Montes de María (Colombia): a conceptual model of the production system. Rev. Chapingo Ser. Hortic. 25(2), 75-102. Doi: https://doi.org/10.5154/r.rchsh.2018.09.018
  6. Burbano-Figueroa, O., A. Arcila, A.M. Vásquez, F. Carrascal, K. Salazar Pertuz, M. Moreno-Moran, J. Romero-Ferrer, and J.A. Pulgarin. 2018. First report of Bionectria pseudochroleuca causing dieback and wilting on avocado in the Serrania de Perijá, Colombia. Plant Dis. 102(1), 238. Doi: https://doi.org/10.1094/PDIS-01-17-0010-PDN
  7. Buss, R.N., R.A. Silva, G.M. Siqueira, J.O.R. Leiva, O.C.C. Oliveira, and V.L. França. 2019. Spatial and multivariate analysis of soybean productivity and soil physical-chemical attributes. Rev. Bras. Eng. Agric. Ambient. 23(6), 446-453. Doi: https://doi.org/10.1590/1807-1929/agriambi.v23n6p446-453
  8. Cao, Y., Z. Shen, N. Zhang, X. Deng, L.S. Thomashow, I. Lidbury, H. Liu, R. Li, Q. Shen, and G.A. Kowalchuk. 2024. Phosphorus availability influences disease-suppressive soil microbiome through plant-microbe interactions. Microbiome 12(1), 185. Doi: https://doi.org/10.1186/s40168-024-01906-w
  9. Camarero, J.J., A. Gazol, G. Sangüesa‐Barreda, J. Oliva, and S.M. Vicente‐Serrano. 2015. To die or not to die: early warnings of tree dieback in response to a severe drought. J. Ecol. 103(1), 44-57. Doi: https://doi.org/10.1111/1365-2745.12295
  10. Chaudhary, P., A. Bhattacharjee, S. Khatri, R.C. Dalal, P.M. Kopittke, and S. Sharma. 2024. Delineating the soil physicochemical and microbiological factors conferring disease suppression in organic farms. Microbiol. Res. 289, 127880. Doi: https://doi.org/10.1016/j.micres.2024.127880
  11. Cherubin, M.R., D.L. Karlen, C.E.P. Cerri, A.L.C. Franco, C.A. Tormena, C.A. Davies, and C.C. Cerri. 2016. Soil quality indexing strategies for evaluating sugarcane expansion in Brazil. PLoS ONE 11(3), e0150860. Doi: https://doi.org/10.1371/journal.pone.0150860
  12. Ciesla, W. and E. Donaubauer. 1994. Decline and dieback of trees and forests. A global overview. FAO, Rome.
  13. Das, A.J., N.L. Stephenson, and K.P. Davis. 2016. Why do trees die? characterizing the drivers of background tree mortality. Ecology 97(10), 2616-2627. Doi: https://doi.org/10.1002/ecy.1497
  14. de Toledo, J.J., W.E. Magnusson, C.V. Castilho, and H.E.M. Nascimento. 2011. How much variation in tree mortality is predicted by soil and topography in Central Amazonia? For. Ecol. Manag. 262(3), 331-338. Doi https://doi.org/10.1016/j.foreco.2011.03.039
  15. Etzold, S., K. Ziemiñska, B. Rohner, A. Bottero, A.K. Bose, N.K. Ruehr, A. Zingg, and A. Rigling. 2019. One century of forest monitoring data in Switzerland reveals species- and site-specific trends of climate-induced tree mortality. Front. Plant Sci. 10, 307. Doi: https://doi.org/10.3389/fpls.2019.00307
  16. Everitt, B.S., S. Landau, M. Leese, and D. Stahl. 2011. Cluster analysis. 5th ed. Wiley, London. Doi: https://doi.org/10.1002/9780470977811
  17. Fabrigar, L.R. and D.T. Wegener. 2012. Exploratory factor analysis. Oxford University Press, New York, NY. Doi: https://doi.org/10.1093/acprof:osobl/9780199734177.001.0001
  18. Gazol, A., J.J. Camarero, J.J. Jiménez, D. Moret-Fernández, M.V. López, G. Sangüesa-Barreda, and J.M. Igual. 2018. Beneath the canopy: Linking drought-induced forest die off and changes in soil properties. For. Ecol. Manag. 422, 294-302. Doi: https://doi.org/10.1016/j.foreco.2018.04.028
  19. Granja, F. and J.I. Covarrubias. 2018. Evaluation of acidifying nitrogen fertilizers in avocado trees with iron deficiency symptoms. J. Soil Sci. Plant Nutrit. 18(1), 157-172. Doi: https://doi.org/10.4067/S0718-95162018005000702
  20. Gregoriou, C., M. Papademetriou, and L. Christofides. 1983. Use of chelates for correcting iron chlorosis in avocados growing in calcareous soils in Cyprus. Calif. Avocado Soc. Yearb. 67, 115-122.
  21. Hair Jr., J.F., R.E. Anderson, R.L. Tatham, and W.C. Black. 1998. Multivariate data analysis. 5th ed. Prentice Hall, Upper Saddle River, NJ.
  22. Hammond, W.M., A.P. Williams, J.T. Abatzoglou, H.D. Adams, T. Klein, R. López, C. Sáenz-Romero, H. Hartmann, D.D. Breshears, and C.D. Allen. 2022. Global field observations of tree die-off reveal hotter-drought fingerprint for Earth’s forests. Nat. Commun. 13(1), 1761. Doi: https://doi.org/10.1038/s41467-022-29289-2
  23. Indarto, I., M. Mandala, and B.E. Cahyono. 2022. Classification of soil quality index in irrigated paddy fields: study in Jember, East Java, Indonesia. J. Geol. Geograph. Geoecol. 31(3), 460-468. Doi: https://doi.org/10.15421/112242
  24. Kadman, A. and E. Lahav. 1982. Experiments to correct iron deficiency in avocado trees. J. Plant Nutrit. 5(4-7), 961-966. Doi: https://doi.org/10.1080/01904168209363027
  25. Khaledian, Y., F. Kiani, S. Ebrahimi, E. Brevik, and J. Aitkenhead‐Peterson. 2016. Assessment and monitoring of soil degradation during land use change using multivariate analysis. Land Degrad. Dev. 28(1), 128-141. Doi: https://doi.org/10.1002/ldr.2541
  26. Klimkowicz-Pawlas, A., A. Ukalska-Jaruga, and B. Smreczak. 2019. Soil quality index for agricultural areas under different levels of anthropopressure. Int. Agrophys. 33(4), 455-462. Doi: https://doi.org/10.31545/intagr/113349
  27. Larkin, R.P. 2015. Soil health paradigms and implications for disease management. Ann. Rev. Phytopathol. 53, 199-221. Doi: https://doi.org/10.1146/annurev-phyto-080614-120357
  28. Li, S., Y. Liu, J. Wang, L. Yang, S. Zhang, C. Xu, and W. Ding. 2017. Soil acidification aggravates the occurrence of bacterial wilt in South China. Front. Microbiol. 8, 703. Doi: https://doi.org/10.3389/fmicb.2017.00703
  29. Lima, C.E.P., J. Silva, Í.M.R. Guedes, N.R. Madeira, and M.R. Fontenelle. 2017. Management systems effect on fertility indicators of a Ferralsol with vegetable crops, as determined by different statistical tools. Rev. Bras. Ciênc. Solo 41, e0160468. Doi: https://doi.org/10.1590/18069657rbcs20160468
  30. Malo, S.E. 1976. Mineral nutrition of avocados. pp. 42-46. In: Sauls, J.W., R.L. Phillips, and L.K. Jackson (eds.). Proc. 1st International Tropical Fruit Short Course. Institute of Food and Agricultural Services, University of Florida, Gainesville, FL.
  31. Manion, P.D. 1991. Tree disease concepts. 2nd ed. Prentice Hall, Englewood Cliffs, NJ.
  32. MinAgricultura, Ministerio de Agricultura y Desarrollo Rural Colombia. 2024. Agronet: área, producción y rendimiento nacional por cultivo - aguacate. In: Unidad de Planificación Rural Agropecuaria – UPRA, https://www.agronet.gov.co/estadistica/paginas/home.aspx?cod=1 ; consulted: June, 2024.
  33. Mukherjee, A. and R. Lal. 2014. Comparison of soil quality index using three methods. PLoS ONE 9(8), e105981. Doi: https://doi.org/10.1371/journal.pone.0105981
  34. Naseri, B. and L. Tabande. 2017. Patterns of Fusarium wilt epidemics and bean production determined according to a large-scale dataset from agro-ecosystems. Rhizosphere 3(Part 1), 100-104. Doi: https://doi.org/10.1016/j.rhisph.2017.02.002
  35. Oliva, J., J. Stenlid, and J. Martínez-Vilalta. 2014. The effect of fungal pathogens on the water and carbon economy of trees: implications for drought-induced mortality. New Phytol. 203(4), 1028-1035. Doi: https://doi.org/10.1111/nph.12857
  36. Osorio-Almanza, L., O. Burbano-Figueroa, A.M. Arcila-C, A.M. Vásquez-B., F. Carrascal-Perez, and J. Romero-Ferrer. 2017. Distribución espacial del riesgo potencial de marchitamiento del aguacate causado por Phytophthora cinnamomi en la subregión de Montes de María, Colombia. Rev. Colomb. Cienc. Hortic. 11(2), 273-285. Doi: https://doi.org/10.17584/rcch.2017v11i2.7329
  37. Pituch, K.A. and J.P. Stevens. 2015. Applied multivariate statistics for the social sciences: analyses with SAS and IBM’s SPSS. 6th ed. Routledge, New York, NY. Doi: https://doi.org/10.4324/9781315814919
  38. Raiesi, F. 2017. A minimum data set and soil quality index to quantify the effect of land use conversion on soil quality and degradation in native rangelands of upland arid and semiarid regions. Ecol. Indic. 75, 307-320. Doi: https://doi.org/10.1016/j.ecolind.2017.01.020
  39. Rangel‐Peraza, J.G., E. Padilla-Gasca, R. López-Corrales, J.R. Medina, Y. Bustos-Terrones, L.E. Amábilis-Sosa, A.E. Rodriguez-Mata, and T. Osuna-Enciso. 2017. Robust soil quality index for tropical soils influenced by agricultural activities. J. Agric. Chem. Environ. 6(4), 199-221. Doi: https://doi.org/10.4236/jacen.2017.64014
  40. Salazar-García, S. 1999. Iron nutrition and deficiency: a review with emphasis in avocado (Persea americana Mill.). Rev. Chapingo Ser. Hortic. 5(2), 67-76.
  41. Sano, S., H. Kongo, and T. Uchiyama. 2015. Characteristics of man-made soils of greenhouse fields in urban areas, Osaka Prefecture, Japan. Soil Sci. Plant Nutr. 61(Sup. 1), 123-134. Doi: https://doi.org/10.1080/00380768.2015.1050606
  42. Scarlett, K., S. Denman, D.R. Clark, J. Forster, E. Vanguelova, N. Brown, and C. Whitby. 2021. Relationships between nitrogen cycling microbial community abundance and composition reveal the indirect effect of soil pH on oak decline. ISME J. 15(3), 623-635. Doi: https://doi.org/10.1038/s41396-020-00801-0
  43. Schinas, S. and D.L. Rowell. 1977. Lime-induced chlorosis. J. Soil Sci. 28(2), 351-368. Doi: https://doi.org/10.1111/j.1365-2389.1977.tb02243.x
  44. Sinclair, W.A., and G.W. Hudler. 1988. Tree declines: four concepts of causality. Arboric. Urban For. 14(2), 29-35. Doi: https://doi.org/10.48044/jauf.1988.009
  45. Sterne, R.E., M.R. Kaufmann, and G.A. Zentmyer 1978. Effect of phytophthora root rot on water relations of avocado: Interpretation with a water transport model. Phytopathology 68(4), 595. Doi: https://doi.org/10.1094/Phyto-68-595
  46. Sterne, R.E., G.A. Zentmyer, and M.R. Kaufmann. 1977. The influence of matric potential, soil texture, and soil amendment on root disease caused by Phytophthora cinnamomi. Phytopathology 67, 1495-1500. Doi: https://doi.org/10.1094/Phyto-67-1495
  47. Tabachnick, B.G. and L.S. Fidell. 2013. Using multivariate statistics. 6th ed. Pearson, Boston, MA.
  48. Vaca, R., P. Del Águila, G. Yañez-Ocampo, J.A. Lugo, and N. De la Portilla-López. 2023. Soil quality assessment in response to water erosion and mining activity. Agriculture 13(7), 1380. Doi: https://doi.org/10.3390/agriculture13071380
  49. Vasu, D., S.K. Singh, S.K. Ray, V.P. Duraisami, P. Tiwary, P. Chandran, A.M. Nimkar, and S.G. Anantwar. 2016. Soil quality index (SQI) as a tool to evaluate crop productivity in semi-arid Deccan plateau, India. Geoderma 282, 70-79. Doi: https://doi.org/10.1016/j.geoderma.2016.07.010
  50. Whyte, G., K. Howard, G.E.St.J. Hardy, and T.I. Burgess. 2016. The tree decline recovery seesaw; a conceptual model of the decline and recovery of drought-stressed plantation trees. For. Ecol. Manag. 370, 102-113. Doi: https://doi.org/10.1016/j.foreco.2016.03.041
  51. Yabrudy, J. 2012. El aguacate en Colombia: Estudio de caso de los Montes de María, en el Caribe colombiano. Economía Regional (171). Banco de la República, Cartagena de Indias, Colombia. Doi: https://doi.org/10.32468/dtseru.171
  52. Yadav, M.B.N., P.L. Patil, and M. Hebbara. 2023. Comparative studies on soil quality index estimation of a hilly-zone sub-watershed in Karnataka. Sustainability 15(24), 16576. Doi: https://doi.org/10.3390/su152416576

Descargas

Los datos de descargas todavía no están disponibles.

Artículos similares

1 2 3 > >> 

También puede {advancedSearchLink} para este artículo.