Heat stress and blood-sucking diptera count in multi-level silvopastoral systems

Authors

  • Wilson Andrés Barragán-Hernández Corporación Colombiana de Investigación Agropecuaria (Agrosavia), Centro de Investigación Turipaná. Cereté, Colombia. Author https://orcid.org/0000-0003-3528-4296
  • Juan Carlos Benavidez-Cruz Corporación Colombiana de Investigación Agropecuaria (Agrosavia), Centro de Investigación Tibaitatá. Mosquera, Colombia. Author
  • Aldemar Zúñiga-López Corporación Colombiana de Investigación Agropecuaria (Agrosavia), Centro de Investigación Tibaitatá. Mosquera, Colombia. Author https://orcid.org/0000-0001-7462-9889
  • Amado Espitia-Pacheco Corporación Colombiana de Investigación Agropecuaria (Agrosavia), Centro de Investigación Tibaitatá. Mosquera, Colombia. Author
  • Jaime Cardozo-Cerquera Corporación Colombiana de Investigación Agropecuaria (Agrosavia), Centro de Investigación Tibaitatá. Mosquera, Colombia. Author https://orcid.org/0000-0002-7744-2881

DOI:

https://doi.org/10.15517/am.v30i3.36296

Keywords:

agroforestry, ectoparasites, respiration rate, climatic factors, zebu, meat animals

Abstract

Introduction. Silvopastoral systems are livestock scheme production schemes with the potential to mitigate the negative effect of the environment on animal productivity. Objective. The objective of this work was to evaluate the effects of multi-stratum silvopastoral systems on heat stress and the population of hematophagous dipterans in beef cattle. Materials and methods. Between May and October 2014, in the Turipaná research center in Córdoba, Colombia, the behavior of Cebu Brahman and Romosinuano animals was analyzed in two silvopastoral arrangements (aSSP) with diversity in their composition and plant stratification (p-Arbust with two strata and p-Arbust-Arbor with three strata) and in a treeless prairie, with a random complete block design. In each treatment, the environmental temperature (TA) and relative humidity (RH) were evaluated, and a temperature-humidity index (ITH) was constructed. In animals the skin temperature (TP) and respiratory rate (FR) were evaluated at two hours of the day (6:00 and 13:00), and hematophagous diptera (CDH) were counted between 8:00 and 10:00 a.m. The data were submitted to a variance analysis for mixed models in the variables TA, HR, TP and ITH and generalized mixed models for CDH and FR. Results. The environmental variables were influenced by multiple factors including: the change in sampling schedules, and the silvopastoral arrangement. The highest environmental load (ITH) was observed during the afternoon, an evaluation that significantly influenced the response in FR with increases that reached 2.1 times more in the Pasto treatment, against 0.8 in p-Arbust-Arbor. Conclusions. The aSSP evaluated presented comparative advantages against the reduction of heat stress and the count of hematophage flies under conditions of the middle valley of the Sinu River. The aSSP p-Arbust managed to keep fly counts lower over time.

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References

Ahlberg, C.M., K. Allwardt, A. Broocks, K. Bruno, L. McPhillips, A. Taylor, C.R. Krehbiel, M.S. Calvo-Lorenzo, C.J. Richards, S.E. Place, U. DeSilva, D.L. VanOverbeke, R.G. Mateescu, L.A. Kuehn, R.L. Weaber, J.M. Bormann, and M.M. Rolf. 2018. Environmental effects on water intake and water intake prediction in growing beef cattle. J. Anim. Sci. 96:4368-4384. doi:10.1093/jas/sky267

Alegría-López, M.A., R.I. Rodríguez-Vivas, J.F.J. Torres-Acosta, M.M. Ojeda-Chi, and J.A. Rosado-Aguilar. 2015. Use of ivermectin as endoparasiticide in tropical cattle herds generates resistance in gastrointestinal nematodes and the tick Rhipicephalus microplus (Acari: Ixodidae). J. Med. Entomol. 52:214-221. doi:10.1093/jme/tju025

Alonso-Díaz, M.Á., J.F.J. Torres-Acosta, C.A. Sandoval-Castro, and W.B. Campbell. 2014. Sustainable food production includes human and environmental health. In: W.B. Campbell, and S. López-Ortíz, editors, Issues in Agroecology - Present status and future prospectus. Vol. 3. Springer, Dordrecht, NLD. p. 191-228. doi:10.1007/978-94-007-7454-4

Arias, R.A., T.L. Mader, y P.C. Escobar. 2008. Factores climáticos que afectan el desempeño productivo del ganado bovino de carne y leche. Arch. Med. Vet. 40:7-22. doi:10.4067/S0301-732X2008000100002

Atkins, I., M. Cook, and C. Choi. 2018. Continuous respiration rate measurement of heat-stressed dairy cows and relations to environment, body temperature, and lying time. Trans. ASABE 61:1475-1485. doi:10.13031/trans.12451

Barragán-Hernández, W.A., L. Mahecha-Ledesma, y Y.S. Cajas-Girón. 2015. Variables fisiológicas-metabólicas de estrés calórico en vacas bajo silvopastoreo y pradera sin árboles. Agron. Mesoam. 26:211-223. doi:10.15517/am.v26i2.19277

Bates, D., M. Mächler, B.M. Bolker, and S.C. Walker. 2015. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67:1-48. doi:10.18637/jss.v067.i01

Benavides, E. 2010. Manejo integrado de los parásitos (II). Carta Fedegán 117:16-21.

Benavides-Cruz, J.C. 2013. Influencia de moscas hematófagas de bovinos sobre la ganancia de peso y se relacion con algunas variables climáticas bajo dos sistemas de pastores (tradicional y silvopastoril) en el Centro de Investigación La Libertad de CORPOICA Villavicencio Meta. Tesis M.Sc., CORPOICA, Bogotá, COL.

Brooks, M.E., K. Kristensen, K.J. van-Benthem, A. Magnusson, C.W. Berg, A. Nielsen, H.J. Skaug, M. Mächler, and B.M Bolker. 2017. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. The R J. 9:378-400.

Broom, D.M. 2017. Components of sustainable animal production and the use of silvopastoral systems. Rev. Bras. Zootec. 46:683-688. doi:10.1590/S1806-92902017000800009

Cajas-Giron, Y.S., and F.L. Sinclair. 2001. Characterization of multistrata silvopastoral systems on seasonally dry pastures in the Caribbean Region of Colombia. Agrofor. Syst. 53:215-225. doi:10.1023/A:1013384706085

Camerro, L.Z., A.S. Maia, M.C. Neto, C.C. Costa, and P.A. Castro. 2016. Thermal equilibrium responses in Guzerat cattle raised under tropical conditions. J. Therm. Biol. 60:213-221. doi:10.1016/j.jtherbio.2016.07.007

Cardozo, J.A., J. Gallego, J. Tobón, W. Barragán, N. Restrepo, D. Bejarano, y C. Lucero. 2015. Efecto de variaciones climáticas en el comportamiento de los signos vitales, hormonas tiroideas y proteínas totales de bovinos Cebú y criollos bon, romo y costeño con cuernos. En: G. Martínez et al., editores, Libro de resúmenes del XVI Simposio sobre conservación y utilización de recursos zoogenéticos. Asociación de Criadores de Ganado Criollo de los Llanos Orientales, Red CONBIAND Colombia, y Universidad Nacional de Colombia, Villavicencio, COL. p. 115.

Castro, E., A. Gil, M.A. Solari, and N.A. Farias. 2005. Validation of a subjective counting method for a horn flies (Haematobia irritans irritans) (Diptera: Muscidae) population in a cattle herd. Vet. Parasitol. 133:363-367. doi:10.1016/j.vetpar.2005.06.003

Cayuela, L. 2012. Modelos lineales mixtos (LMM) y modelos lineales generalizados mixtos (GLMM) en R. ORANGEDOX, Vancouver, CAN. https://dl.orangedox.com/XpAzAQ0duvnoBmWZJ2/5-Modelos%20lineales%20mixtos%20en%20R.pdf (consultado 21 feb. 2019).

Chang-Fung-Martel, J., M.T. Harrison, R. Rawnsley, A.P. Smith, and H. Meinke. 2017. The impact of extreme climatic events on pasture-based dairy systems: A review. Crop Past. Sci. 68:1158-1169. doi:10.1071/CP16394

Collier, R.J., R.B. Zimbelman, R.P. Rhoads, M.L Rhoads, and L.H. Baumgard. 2011. A Re-evaluation of the impact of temperature humidity index (THI) and black globe humidity index (BGHI) on milk production in high producing dairy cows. In: M. Gamroth, editor, Proceedings of the Western Dairy Management Conference. Western Dairy Management Conference, Reno, NV, USA. p. 113-126.

Di-Rienzo, J.A., R. Macchiavelli, y F. Casanoves. 2009. Modelos mixtos en InfoStat. Universidad de Puerto Rico, PUR. http://academic.uprm.edu/rmacchia/agro6998/TutorialMMesp.pdf (consultado 4 may. 2018).

Dikmen, S., and P.J. Hanse. 2009. Is the temperature-humidity index the best indicator of heat stress in lactating dairy cows in a subtropical environment? J. Dairy Sci. 92:109-116. doi:10.3168/jds.2008-1370

Galán, E., P. Llonch, A. Villagrá, H. Levit, S. Pinto, and A. del-Prado. 2018. A systematic review of non-productivity-related animal-based indicators of heat stress resilience in dairy cattle. PLoS One 13(11):e0206520. doi:10.1371/journal.pone.0206520

Gaudio, N.A.R., B.B. Cardoso, G.M. Spessotto, J.P. Luperini, B.E. Anacleto, D.P. da-Silva, M.A. Calado, e M.A. Factori. 2018. Avaliação de endoparasitas e ectoparasitas em bovinos da raça Nelore em sistema silvipastoril e convencional, suplementados ou não. Adaltech, BRA. BRA. http://www.adaltech.com.br/anais/zootecnia2018/resumos/trab-0189.pdf (consultado 21 feb. 2019).

Gaughan, J., S.M. Holt, G.L. Hahn, T. Mader, and R.A. Eigenberg. 2000. Respiration rate - Is it a good measure of heat stress in cattle? Asian-Aus. J. Anim. Sci. 13:329-332.

Giraldo, C., L.K. Reyes, y J. Molina. 2011. Manejo integrado de artrópodos y parásitos en sistemas silvopastoriles intensivos. Manual 2, Proyecto ganadería colombiana sostenible. Banco Mundial, FEDEGAN, CIPAV, Fondo Acción, y TNC, Bogotá, COL.

Giraldo-Echeverri, C., S. Montoya-Molina, y F. Escobar. 2018. Escarabajos del estiércol en paisajes ganaderos de Colombia. CIPAV, Cali, COL.

Grace, D., B. Bett, J. Lindahl, and T. Robinson. 2015. Climate and livestock disease: assessing the vulnerability of agricultural systems to livestock pests under climate change scenarios. Working Paper no. 116. CCAFS, Copenhagen, DNK.

Hammond, A.C., T.A. Olson, C.C. Chase, E.J. Bowers, R.D. Randel, C.N. Murphy, D.W. Vogt, and A. Tewolde. 1996. Heat tolerance in two tropically adapted Bos taurus breeds, Senepol and Romosinuano, compared with Brahman, Angus, and Hereford cattle in Florida. J. Anim. Sci. 74:295-303. doi:10.2527/1996.742295x

Hansen, P.J. 2004. Physiological and cellular adaptations of zebu cattle to thermal stress. Anim. Reprod. Sci. 82-83:349-360. doi:10.1016/j.anireprosci.2004.04.011

Herrero, M., P. Havlik, J. McIntire, A. Palazzo, and H. Valin. 2014. African livestock futures: Realizing the potential of livestock for food security, poverty reduction and the environment in Sub-Saharan Africa. Office of the Special Representative of the UN Secretary General for Food Security and Nutrition and the United Nations System In-fluenza Coordination (UNSIC), Geneva, CHE.

Holdridge, L.R. 1971. Forest environments in tropical life zones: A pilot study. Pergamon Press, Oxford, GBR.

Kadzere, C.T., M.R. Murphy, N. Silanikove, and E. Maltz. 2002. Heat stress in lactating dairy cows: A review. Livest. Prod. Sci. 77:59-91. doi:10.1016/S0301-6226(01)00330-X

Lallo, C.H.O., J. Cohen, D. Rankine, M. Taylor, J. Cambell, and T. Stephenson. 2018. Characterizing heat stress on livestock using the temperature humidity index (THI)-prospects for a warmer Caribbean. Reg. Environ. Change 18:2329-2340. doi:10.1007/s10113-018-1359-x

Lima, L.G.F., S.H.V. Perri, and A.P. Prado. 2003. Variation in population density of horn flies (Haematobia irritans irritans) (L.) (Diptera: Muscidae) in Nellore cattle (Bos indicus). Vet. Parasitol. 117:309-314. doi:10.1016/j.vetpar.2003.10.002

Lopes, L.B., C. Eckstein, D.S. Pina, and R.A. Carnevalli. 2016. The influence of trees on the thermal environment and behaviour of grazing heifers in Brazilian Midwest. Trop. Anim. Health Prod. 48:755-761. doi:10.1007/s11250-016-1021-x

Molina-Benavides, R.A., H. Sánchez-Guerrero, and A. Stanislao-Atzori. 2018. A conceptual model to describe heat stress in dairy cows from actual to questionable loops. Acta Agron. 67:59-64. doi:10.15446/acag.v67n1.60612

Murgueitio-Restrepo, E., R. Barahona-Rosales, M.X. Flores-Estrada, J.D. Chará-Orozco, y J.E. Rivera-Herrera. 2016. Es posible enfrentar el cambio climático y producir más leche y carne con sistemas silvopastoriles intensivos. Ceiba 54:23-30. doi:10.5377/ceiba.v54i1.2774

Murillo-Ramos, L., J.C. Linares, e Y.S. Cajas. 2009. Estructura de la comunidad de coleópteros coprófagos (Scarabaeinae: Aphodiinae) en sistemas silvopastoriles de estratos múltiples, Corpoica C.I. Turipaná. Tesis Lic., Universidad de Córdoba, COL.

Nardone, A., B. Ronchi, N. Lacetera, M.S. Ranieri, and U. Bernabucci. 2010. Effects of climate changes on animal production and sustainability of livestock systems. Livest. Sci. 130:57-69. doi:10.1016/j.livsci.2010.02.011

Oliveira, R., M. Faria, R. Silva, L. Bezerra, G. Carvalho, A. Pinheiro, J. Simionato, and A. Leão. 2015. Fatty acid profile of milk and cheese from dairy cows supplemented a diet with palm kernel cake. Molecules 20:15434-15448. doi:10.3390/molecules200815434

Oliveira, C., F. Villa, R. Almeida E. Gamarra, S. Villela, and P. Martins. 2017. Thermal comfort indices assessed in integrated production systems in the Brazilian savannah. Agrofor. Syst. 92:1659-1672. doi:10.1007/s10457-017-0114-5

Ossa-Saraz, G., A. David-Hinestroza, M. Santana-Rodríguez, S. Reza-García, J. Pérez-García, y Y. Abuabara-Pérez. 2013. Formación, desarrollo y caracterización fenotípica de los caracteres productivos y reproductivos del hato Romosinuano del banco de germoplasma de Colombia. Cienc. Tecnol. Agropecu. 14(2):231-243. doi:10.21930/rcta.vol14_num2_art:503

Pankaj, P.K., D.B.V. Ramana, R. Pourouchottamane, and S. Naskar. 2013. Livestock management under changing climate scenario in India. World J. Vet. Sci. 1:25-32. doi:10.12970/2310-0796.2013.01.01.5

Pérez, E., M. Soca, L. Díaz, y M. Corzo. 2008. Comportamiento etológico de bovinos en sistemas silvopastoriles en Chiapas, México. Pastos y Forrajes 31(2):161-172.

Pulido, M., L. Ramírez-Avilés, F.J. Solorio, I. Fiebrig, and S. Burbi. 2018. The impact of veterinary medicine and animal husbandry on the biophysical characteristics of soils in neotropical agroecosystems. Soil Syst. 2(2):24. doi:10.3390/soilsystems2020024

Rao, I., M. Peters, A. Castro, R. Schultze-Kraft, D. White, M. Fisher, J. Miles, C. Lascano, M. Blümmel, D. Bungenstab, J. Tapasco, G. Hyman, A. Bolliger, B. Paul, R. van der Hoek, B. Maass, T. Tiemann, M. Cuchillo, S. Douxchamps, C. Villanueva, A. Rincón, M. Ayarza, T. Rosenstock, G. Subbarao, J. Arango, J. Cardoso, M. Worthington, N. Chirinda, A. Notenbaert, A. Jenet, A. Schmidt, N. Vivas, R. Lefroy, K. Fahrney, E. Guimarães, J. Tohme, S. Cook, M. Herrero, M. Chacón, T. Searchinger, and T. Rudel. 2015. LivestockPlus - The sustainable intensification of forage-based agricultural systems to improve livelihoods and ecosystem services in the tropics. Trop. Grassl. 3(2):59-82. doi:10.17138/TGFT(3)59-82

Robertshaw, D. 2006. Mechanisms for the control of respiratory evaporative heat loss in panting animals. J. Appl. Physiol. 101:664-668. doi:10.1152/japplphysiol.01380.2005

Scharf, B., J.A. Carroll, D.G. Riley, C.C. Chase, S.W. Coleman, D.H. Keisler, R.L. Weaber, and D.E. Spiers. 2010. Evaluation of physiological and blood serum differences in heat-tolerant (Romosinuano) and heat-susceptible (Angus) Bos taurus cattle during controlled heat challenge. J. Anim. Sci. 88:2321-2336. doi:10.2527/jas.2009-2551

Schütz, K.E., N.R. Cox, and L.R. Matthews. 2008. How important is shade to dairy cattle? Choice between shade or lying following different levels of lying deprivation. Appl. Anim. Behav. Sci. 114:307-318. doi:10.1016/j.applanim.2008.04.001

Tucker, C.B., A.R. Rogers, and K.E. Schütz. 2008. Effect of solar radiation on dairy cattle behaviour, use of shade and body temperature in a pasture-based system. Appl. Anim. Behav. Sci. 109:141-154. doi:10.1016/j.applanim.2007.03.015

Weindl, I., H. Lotze-Campen, A. Popp, C. Müller, P. Havlík, M. Herrero, C. Schmitz, and S. Rolinski. 2015. Livestock in a changing climate: production system transitions as an adaptation strategy for agriculture. Environ. Res. Lett. 10(9):094021. doi:10.1088/1748-9326/10/9/094021

Zuur, A.F., E.N.I. Ieno, N.J. Walker, A.A. Saveliev, and G.M. Smith. 2009. Mixed effects models and extensions in ecology with R. Springer-Verlag, NY, USA.

Published

13-08-2019

How to Cite

Barragán-Hernández, W. A., Benavidez-Cruz, J. C., Zúñiga-López, A., Espitia-Pacheco, A., & Cardozo-Cerquera, J. (2019). Heat stress and blood-sucking diptera count in multi-level silvopastoral systems. Agronomía Mesoamericana, 30(3), 751-765. https://doi.org/10.15517/am.v30i3.36296

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