Exploring environmental determinants of Fusarium wilt occurrence on banana in South Central Mindanao, Philippines

Abdullah, A.Y.M., Dewan, A., Shogib, M.R.I., Rahman, M.M. and Hossain, M.F. 2017. Environmental factors associated with the distribution of visceral leishmaniasis in endemic areas of Bangladesh: modeling the ecological niche. Tropical Medicine and Health, 45: 13. https://doi.org/10.1186/s41182-017-0054-9.10.1186/s41182-017-0054-9542762228515660Open DOISearch in Google Scholar

Aguilar, E.A. 1998. Response of banana roots to oxygen deficiency and its implications for Fusarium wilt. In V. G. Saúco (Ed.), International Symposium on Banana in the Subtropics (Puerto de la Cruz, Tenerife, S ed., Vol. Acta Horticulturae No. 490, pp. 223-228). Leuven, Belgium: ISHS (Society for Horticultural Science).10.17660/ActaHortic.1998.490.22Search in Google Scholar

Aguilar, E.A., Turner, D.W. and Sivasithamparam, K. 2000. Fusarium oxysporum f. sp. cubense inoculation and hypoxia alter peroxidase and phenylalanine ammonia lyase activities in nodal roots of banana cultivars (Musa sp.) differing in their susceptibility to Fusarium wilt. Australian Journal of Botany, 48: 589–596.10.1071/BT99009Search in Google Scholar

Allouche, O. Tsoar, A. and Kadmon, R. 2006. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 43: 1223–1232, https://doi.org/10.1111/j.1365-2664.2006.01214.x.10.1111/j.1365-2664.2006.01214.xOpen DOISearch in Google Scholar

Booth, T.H., Nix, H.A., Busby, J.R. and Hutchinson, M.F. 2014. Bioclim: the first species distribution modelling package, its early applications and relevance to most current MaxEnt studies. Diversity and Distributions, 20: 1–9, https://doi.org/10.1111/ddi.12144.10.1111/ddi.12144Open DOISearch in Google Scholar

Bosso, L., Russo, D., Di Febbraro, M., Cristinzio, G. and Zoina, A. 2016. Potential distribution of Xylella fastidiosa in Italy: a maximum entropy model. Phytopathologia Mediterranea, [S.l.], v. 55, n. 1, p. 62-72. ISSN 1593-2095. Available at: <http://www.fupress.net/index.php/pm/article/view/16429>.Search in Google Scholar

Cook, D.C., Taylor, A.S., Meldrum, R.A. and Drenth, A. 2015. Potential economic impact of Panama disease (Tropical Race 4) on the Australian banana industry. Journal of Plant Diseases and Protection, 122: 229–237, https://doi.org/10.1007/BF03356557.10.1007/BF03356557Open DOISearch in Google Scholar

Deltour, P., C. França, S., Liparini Pereira, O., Cardoso, I., De Neve, S., Debode, J. and Höfte, M. 2017. Disease suppressiveness to Fusarium wilt of banana in an agroforestry system: Influence of soil characteristics and plant community. Agriculture, Ecosystems & Environment, 239: 173–181, https://doi.org/10.1016/j.agee.2017.01.018.10.1016/j.agee.2017.01.018Open DOISearch in Google Scholar

Dormann, C.F., Purschke, O., Márquez, J.R.G., Lautenbach, S. and Schröder, B. 2008. Components of uncertainty in species distribution analysis: A case study of the Great Grey Shrike. Ecology, 89: 3371–3386, https://doi.org/10.1890/07-1772.1.10.1890/07-1772.119137944Open DOISearch in Google Scholar

Elith, J. 2000. Quantitative Methods for Modeling Species Habitat: Comparative performance and an application to Australian plants. In Ferson, S. and Burgman, M. (Eds), Quantitative Methods for Conservation Biology, pp. 39–58. New York, NY: Springer New York, https://doi.org/10.1007/0-387-22648-6_4.10.1007/0-387-22648-6_4Open DOISearch in Google Scholar

Elith, J., Phillips, S.J., Hastie, T., Dudík, M., Chee, Y.E. and Yates, C.J. 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17: 43–57, https://doi.org/10.1111/j.1472-4642.2010.00725.x.10.1111/j.1472-4642.2010.00725.xOpen DOISearch in Google Scholar

Farr, T.G., Rosen, P.A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D. and Alsdorf, D. 2007. The Shuttle Radar Topography Mission. Reviews of Geophysics, 45, https://doi.org/10.1029/2005RG00018310.1029/2005RG000183Open DOISearch in Google Scholar

Fu, L., Ruan, Y., Tao, C., Li, R. and Shen, Q. 2016. Continous application of bioorganic fertilizer induced resilient culturable bacteria community associated with banana Fusarium wilt suppression. Scientific Reports, 6: 27731. https://doi:10.1038/srep27731.10.1038/srep27731491007427306096Open DOISearch in Google Scholar

Galdino, T.V. da S., Kumar, S., Oliveira, L.S.S., Alfenas, A.C., Neven, L.G., Al-Sadi, A.M. and Picanço, M.C. 2016. Mapping global potential risk of mango sudden decline disease caused by Ceratocystis fimbriata. PLOS ONE, 11: e0159450, https://doi.org/10.1371/journal.pone.0159450.10.1371/journal.pone.0159450494496727415625Search in Google Scholar

Ghaemi, A., Rahimi, A. and Banihashemi, Z. 2011. Effects of Water Stress and Fusarium oxysporum f. sp. lycopersici on Growth (leaf area, plant height, shoot dry matter) and shoot nitrogen content of tomatoes under greenhouse conditions. Iran Agricultural Research, 29: 51–62, https://doi.org/10.22099/iar.2011.136.Search in Google Scholar

Ghag, S.B., Shekhawat, U.K.S. and Ganapathi, T.R. 2015. Fusarium wilt of banana: biology, epidemiology and management. International Journal of Pest Management, 61: 250–263, https://doi.org/10.1080/09670874.2015.1043972.10.1080/09670874.2015.1043972Open DOISearch in Google Scholar

Gillingham, P.K., Huntley, B., Kunin, W.E. and Thomas, C.D. 2012. The effect of spatial resolution on projected responses to climate warming. Diversity and Distributions, 18: 990–1000, https://doi.org/10.1111/j.1472-4642.2012.00933.x.10.1111/j.1472-4642.2012.00933.xOpen DOISearch in Google Scholar

Harris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. 2014. Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset. International Journal of Climatology, 34: 623–642, https://doi.org/10.1002/joc.3711.10.1002/joc.3711Open DOISearch in Google Scholar

Hengl, T., Jesus, J.M. de, Heuvelink, G.B.M., Gonzalez, M.R., Kilibarda, M., Blagotić, A., Shangguan, W., Wright, M.N., Geng, X., Bauer-Marschallinger, B., Guevara, M.A., Vargas, R., MacMillan, R.A., Batjes, N.H., Leenaars, J.G.B., Ribeiro, E,; Wheeler, I,; Mantel, S. and Kempen, B. 2017. SoilGrids250m: Global gridded soil information based on machine learning. PLOS ONE, 12: e0169748, https://doi.org/10.1371/journal.pone.0169748.10.1371/journal.pone.0169748531320628207752Search in Google Scholar

Heumann, B.W., Walsh, S.J. and McDaniel, P.M. 2011. Assessing the application of a geographic presence-only model for land suitability mapping. Ecological Informatics, 6: 257–269, https://doi.org/10.1016/j.ecoinf.2011.04.004.10.1016/j.ecoinf.2011.04.004315866421860606Open DOISearch in Google Scholar

Hijmans, R.J. 2014. Raster: Geographic data analysis and modeling. R package version 2.3-12, http://CRAN.R-project.org/package=raster.Search in Google Scholar

Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. and Jarvis, A. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25: 1965–1978, https://doi.org/10.1002/joc.1276.10.1002/joc.1276Open DOISearch in Google Scholar

Hijmans, R.J., Phillips, S.J. and Elith, J. 2016. Dismo: Species Distribution Modeling. R package version 1.1-1, https://CRAN.R-project.org/package=dismo.Search in Google Scholar

Ihaka, R. and Gentleman, R. 1996. R: A Language for Data Analysis and Graphics. Journal of Computational and Graphical Statistics, 5: 299–314, https://doi.org/10.1080/10618600.1996.10474713.10.1080/10618600.1996.10474713Open DOISearch in Google Scholar

Jarnevich, C.S., Stohlgren, T.J., Kumar, S., Morisette, J.T. and Holcombe, T.R. 2015. Caveats for correlative species distribution modeling. Ecological Informatics, 29, Part 1: 6–15, https://doi.org/10.1016/j.ecoinf.2015.06.007.10.1016/j.ecoinf.2015.06.007Open DOISearch in Google Scholar

Kalle, R., Ramesh, T., Qureshi, Q. and Sankar, K. 2013. Predicting the distribution pattern of small carnivores in response to environmental factors in the Western Ghats. PLOS ONE, 8: e79295, https://doi.org/10.1371/journal.pone.0079295.10.1371/journal.pone.0079295382836424244470Search in Google Scholar

Kangire, A, Rutherfod, M.A. and Gold, C.S. 2001. Distribution of Fusarium wilt and the populations of Fusarium oxysporum f. sp. cubense on bananas in Uganda. In Molina, A.B.; Masdek, N.H. and Liew, K.W. (Eds), Banana Fusarium Wilt Management: towards Sustainable Cultivation, pp. 152–161. Los Banos, Laguna: INIBAP-ASPNET.Search in Google Scholar

Karangwa, P., Blomme, G., Beed, F., Niyongere, C. and Viljoen, A. 2016. The distribution and incidence of banana Fusarium wilt in subsistence farming systems in east and central Africa. Crop Protection, 84: 132–140, https://doi.org/10.1016/j.cropro.2016.03.003.10.1016/j.cropro.2016.03.003Open DOISearch in Google Scholar

Lee, Y.H., Cha, K.H., Lee, D.G., Shim, H.K., Ko, S.J., Park, I.J. and Yang, K.Y. 2004. Cultural and rainfall factors involved in disease development of Fusarium wilt of sweet potato. Plant Pathology Journal, 20: 92–96.10.5423/PPJ.2004.20.2.092Search in Google Scholar

Li, C., Chen, S., Zuo, C., Sun, Q., Ye, Q., Yi, G. and Huang, B. 2011. The use of GFP-transformed isolates to study infection of banana with Fusarium oxysporum f. sp. cubense race 4. European Journal of Plant Pathology, 131: 327–340, https://doi.org/10.1007/s10658-011-9811-5.10.1007/s10658-011-9811-5Open DOISearch in Google Scholar

Merow, C., Smith, M.J. and Silander, J.A. 2013. A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography, 36: 1058–1069, https://doi.org/10.1111/j.1600-0587.2013.07872.x.10.1111/j.1600-0587.2013.07872.xOpen DOISearch in Google Scholar

Narouei-Khandan, H.A., Halbert, S.E., Worner, S.P. and Bruggen, A.H.C. van. 2016. Global climate suitability of citrus huanglongbing and its vector, the Asian citrus psyllid, using two correlative species distribution modeling approaches, with emphasis on the USA. European Journal of Plant Pathology, 144: 655–670, https://doi.org/10.1007/s10658-015-0804-7.10.1007/s10658-015-0804-7Open DOISearch in Google Scholar

Pattison, A.B., Wright, C.L., Kukulies, T.L. and Molina, A.B. 2014. Ground cover management alters development of Fusarium wilt symptoms in Ducasse bananas. Australasian Plant Pathology, 43: 465–476, https://doi.org/10.1007/s13313-014-0296-5.10.1007/s13313-014-0296-5Open DOISearch in Google Scholar

Perez-Vicente, L., Dita, M.A. and Martínez-de la Parte MSc, E. 2014. Technical manual prevention and diagnostic of Fusarium wilt (Panama disease) of banana caused by Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4), https://www.research-gate.net/profile/Einar_Martinez_de_la_Parte/publication/273632807_Technical_Manual_Prevention_and_diagnostic_of_Fusarium_WiltPanama_Disease_of_banana_caused_by_Fusarium_oxysporum_f_sp_cubense_Tropical_Race_4TR4/links/55072e450cf27e990e050b7b/Technical-Manual-Prevention-and-diagnostic-of-Fusarium-WiltPanama-Disease-of-banana-caused-by-Fusarium-oxysporum-f-sp-cubense-Tropical-Race-4TR4.pdfSearch in Google Scholar

Phillips, S.J., Anderson, R.P. and Schapire, R.E. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190: 231–259, https://doi.org/10.1016/j.ecolmodel.2005.03.026.10.1016/j.ecolmodel.2005.03.026Open DOISearch in Google Scholar

Phillips, S.J., Dudík, M. and Schapire, R.E. 2018. Maxent software for modeling species niches and distributions, url: http://biodiversityinformatics.amnh.org/open_source/maxent/Search in Google Scholar

Ploetz, R.C. 2006. Fusarium Wilt of Banana Is Caused by Several Pathogens Referred to as Fusarium oxysporum f. sp. cubense. Phytopathology, 96: 653–656, https://doi.org/10.1094/PHYTO-96-0653.10.1094/PHYTO-96-065318943184Open DOISearch in Google Scholar

Ploetz, R.C. 2015a. Fusarium wilt of banana. Phytopathology, 105: 1512–1521, https://doi.org/10.1094/PHYTO-04-15-0101-RVW.10.1094/PHYTO-04-15-0101-RVW26057187Open DOISearch in Google Scholar

Ploetz, R.C. 2015b. Management of Fusarium wilt of banana: A review with special reference to tropical race 4. Crop Protection, 73: 7–15, https://doi.org/10.1016/j.cropro.2015.01.007.10.1016/j.cropro.2015.01.007Open DOISearch in Google Scholar

PSA. 2017. CountrySTAT Philippines. Other Crops; Area Planted or Harvested. http://countrystat.psa.gov.ph/ (accessed 13 May 2017)Search in Google Scholar

R Core Team. 2014. R: A Language and Environment for Statistical ComputingR Foundation for Statistical Computing, 2014, http://www.R-project.org/.Search in Google Scholar

Ravi, I. and Vaganan, M.M. 2016. Abiotic stress tolerance in banana. In Rao, N.K.S.; Shivashankara, K.S. and Laxman, R.H. (Eds), Abiotic Stress Physiology of Horticultural Crops, pp. 207–222. Springer India, https://doi.org/10.1007/978-81-322-2725-0_1210.1007/978-81-322-2725-0_12Open DOISearch in Google Scholar

Rödder, D., Schmidtlein, S., Veith, M. and Lötters, S. 2009. Alien invasive slider turtle in unpredicted habitat: A matter of niche shift or of predictors Studied? PLOS ONE 4: e7843, https://doi.org/10.1371/journal.pone.0007843.10.1371/journal.pone.0007843Open DOISearch in Google Scholar

Roux, N., Baurens, F.-C.; Doležel, J.; Hřibová, E.; Heslop-Harrison, P., Town, C., Sasaki, T., Matsumoto, T., Aert, R., Remy, S., Souza, M. and Lagoda, P. 2008. Genomics of banana and plantain (Musa spp.). Major Staple Crops in the Tropics 83–111, https://doi.org/10.1007/978-0-387-71219-2_4.10.1007/978-0-387-71219-2_4Open DOISearch in Google Scholar

Salvacion, A.R. 2016. Terrain characterization of small island using publicly available data and open-source software: a case study of Marin-duque, Philippines. Modeling Earth Systems and Environment, 2: 1–9, https://doi.org/10.1007/s40808-016-0085-y.10.1007/s40808-016-0085-yOpen DOISearch in Google Scholar

Salvacion, A.R, Magcale-Macandog, D.B., Cruz, P.C.S., Saludes, R.B., Pangga, I.B. and Cumagun, C.J.R. 2018. Evaluation and spatial downscaling of CRU TS precipitation data in the Philippines. Modeling Earth Systems and Environment,4: 891–898, https://doi.org/10.1007/s40808-018-0477-2.10.1007/s40808-018-0477-2Search in Google Scholar

Shimwela, M.M., Blackburn, J.K., Jones, J.B., Nkuba, J., Narouei-Khandan, H.A., Ploetz, R.C., Beed, F. and Bruggen, A.H.C. 2016. Local and regional spread of banana Xanthomonas wilt (BXW) in space and time in Kagera, Tanzania. Plant Pathology, 66(6): 1003-1014. https://doi.org/10.1111/ppa.1263710.1111/ppa.12637Open DOISearch in Google Scholar

Solpot, T.C., Pangga, I.B., Baconguis, R.D.T. and Cumagun, C.J.R. 2016. Occurrence of Fusarium oxysporum f. sp. cubense Tropical race 4 and other genotypes in banana in South-Central Mindanao, Philippines. Philippine Agricultural Scientist, 99: 370–378.Search in Google Scholar

Stover, R.H. 1953. The effect of soil moisture on Fusarium species. Canadian Journal of Botany, 31: 693–697. https://doi.org/10.1139/b53-050.10.1139/b53-050Open DOISearch in Google Scholar

Stover, R.H. 1962. Fusarial wilt (panama disease) of bananas and other Musa species. Commonwealth Mycological Institute.Search in Google Scholar

Su, Z.-A., Zhang, J.-H. and Nie, X.-J. 2010. Effect of soil erosion on soil properties and crop yields on slopes in the Sichuan Basin, China. Pedosphere, 20: 736–746. https://doi.org/10.1016/S1002-0160(10)60064-1.10.1016/S1002-0160(10)60064-1Open DOISearch in Google Scholar

Turechek, W.W. and McRoberts, N. 2013. Considerations of scale in the analysis of spatial pattern of plant disease epidemics. Annual Review of Phytopathology, 51: 453–472. https://doi.org/10.1146/annurev-phyto-081211-173017.10.1146/annurev-phyto-081211-17301723725469Open DOISearch in Google Scholar

Vallejo Pérez, M.R., Téliz Ortiz, D., De La Torre Almaraz, R,; López Martinez, J.O. and Nieto Ángel, D. 2017. Avocado sunblotch viroid: Pest risk and potential impact in México. Crop Protection, 99: 118–127. https://doi.org/10.1016/j.cropro.2017.05.015.10.1016/j.cropro.2017.05.015Open DOISearch in Google Scholar

West, A.M., Kumar, S., Brown, C.S., Stohlgren, T.J. and Bromberg, J. 2016. Field validation of an invasive species Maxent model. Ecological Informatics, 36: 126–134, https://doi.org/10.1016/j.ecoinf.2016.11.001.10.1016/j.ecoinf.2016.11.001Open DOISearch in Google Scholar

West, A.M., Kumar, S., Wakie, T., Brown, C.S., Stohlgren, T.J., Laituri, M. and Bromberg, J. 2015. Using high-resolution future climate scenarios to forecast Bromus tectorum invasion in rocky mountain National Park. PLOS ONE, 10: e0117893, https://doi.org/10.1371/journal.pone.0117893.10.1371/journal.pone.0117893433500325695255Search in Google Scholar

Wisz, M.S., Hijmans, R.J., Li, J., Peterson, A.T., Graham, C.H. and Guisan, A. 2008. Effects of sample size on the performance of species distribution models. Diversity and Distributions, 14: 763–773. https://doi.org/10.1111/j.1472-4642.2008.00482.x.10.1111/j.1472-4642.2008.00482.xOpen DOISearch in Google Scholar

Wyckhuys, K.A.G., Korytkowski, C., Martinez, J., Herrera, B., Rojas, M. and Ocampo, J. 2012. Species composition and seasonal occurrence of Diptera associated with passionfruit crops in Colombia. Crop Protection, 32: 90–98. https://doi.org/10.1016/j.cropro.2011.10.003.10.1016/j.cropro.2011.10.003Open DOISearch in Google Scholar

Zeng, Y., Low, B.W. and Yeo, D.C.J. 2016. Novel methods to select environmental variables in MaxEnt: A case study using invasive crayfish. Ecological Modelling, 341: 5–13. https://doi.org/10.1016/j.ecolmodel.2016.09.019.10.1016/j.ecolmodel.2016.09.019Open DOISearch in Google Scholar