Fachgebiet für Tierhaltung und Tierzüchtung in den Tropen und Subtropen

Publikationen

2023

  • Isidore Houaga, Raphael Mrode, Oluyinka Opoola, Mizeck G. G. Chagunda, Okeyo A. Mwai, John E. O. Rege, Victor E. Olori, Oyekanmi Nash, Cuthbert B. Banga,Tobias O. Okeno and Appolinaire Djikeng (2023). Livestock phenomics and genetic evaluation approaches in Africa: current state and future perspectives. Frontiers in Genetics.
  • Silvia Lehnert, Josephine Gresham (2023). Kälberqualität Kälber nicht unter Wert verkaufen. Elite Magazin.

  • Mareike Herrler, Mizeck G. G. Chagunda, Nanette Stroebele-Benschop (2023). Public Awareness, Attitude and Empathy Regarding the Management of Surplus Dairy Calves. Journal of Agricultural and Environmental Ethics.

  • Teweldemedhn Gebretinsae Hailu, , Mizeck Chagunda and Peter Rosenkranz (2023). Sustainable development outlooks to subsistent apiculture in a transition: the case of Ethiopia. Journal of apicultural research.

  • Oloo, R.D., Ekine-Dzivenu, C.C., Ojango, J.M.K., Gebreyohanes, G., Mrode, R., Okeyo, A.M. and Chagunda, M.G.G. (2023). Opportunities to quantify resilience of dairy cattle to environmental stressors in sub-Saharan Africa. ILRI Research Report 113. Nairobi, Kenya: ILRI.
  • Sophie A. Miyumo, Chrilukovian B. Wasike, Evans D. Ilatsia, Jorn Bennewitz and Mizeck G. G. Chagunda (2023). Genetic and phenotypic correlations among feed efficiency,immune and production traits in indigenous chicken of Kenya. Frontiers in Genetics.

2022

  • Lydia Lanzoni, Mizeck G. G. Chagunda, Isa Fusaro , Matteo Chincarini, Melania Giammarco, Alberto Stanislao Atzori, Michele Podaliri and Giorgio Vignola (2022).Assessment of Seasonal Variation in Methane Emissions of Mediterranean Buffaloes Using a Laser Methane Detector. MDPI Animals 2022.
  • Oluyinka Opoola, Felicien Shumbusho, David Hambrook, Sam Thomson, Harvey Dai, Mizeck G. G. Chagunda, Jude L. Capper, Dominic Moran, Raphael Mrode, and Appolinaire Djikeng (2022). From a documented past of the Jersey breed in Africa to a profit index linked future. Frontiers in Genetics.
  • Miyumo, S., Wasike, C. B., Ilatsia, E. D., Bennewitz, J., & Chagunda, M. G. (2022). Genetic and non-genetic factors influencing KLH binding natural antibodies and specific antibody response to Newcastle disease in Kenyan chicken populations. Journal of Animal Breeding and Genetics, 00, 1–15
  • Raphaël Boré , Thiphaine Bruder  , Mohammed El Jabri , Margaret March , Paul R. Hargreaves , Benoît Rouillé , Richard J. Dewhurst and Mizeck G. G. Chagunda (2022) Measurement Duration but Not Distance, Angle, and Neighbour-Proximity Affects Precision in Enteric Methane Emissions when Using the Laser Methane Detector Technique in Lactating Dairy Cows, MDPI Animals 2022, 12, 1295
  • Opoola,O., Shumbusho,F., Hambrook, D., ,T.S., Harvey,D., Chagunda,M.G.G., Capper.J.L., Moran,D., Mrode,R., and Djikeng,A. (2022) JERSEY CATTLE IN AFRICA From the Breed's Documented Past to a Profit Index-Linked Future. Published in report form for the 2021 African Jersey Forum Virtual Conference
  • Banda,L.J., Chagunda,M.G.G., Ashworth,C.J., and Roberts,D.J. (2022) Associations among body energy status, feeding duration and activity with respect to diet energy and protein content in housed dairy cows. Journal of Dairy Research
  • Oloo, R.D., Ekine-Dzivenu, C.C., Ojango, J.M.K., Mrode, R., Chagunda, M.G.G. and Okeyo, A.M. (2022). Effects of breed exoticness, agro-ecological zone and their interaction on production and fertility traits of multibreed dairy cattle in Kenya. ILRI Research Report 101. Nairobi, Kenya: ILRI. https://hdl.handle.net/10568/118429
  • Kohnke, D., Imort-Just, A., Chagunda, M. (2022). Badische Rasse für den Ökolandbau. Badische Bauerzeitung 11/2022
  • Kaiser, A., Hörning, B., Kohnke, D., Imort-Just, A., Chagunda, M. (2022). Huhn und Hahn für Bio-Höfe - Zweinutzungstiere im Praxistest. Bioland-Magazin 02/2022

2021

  • Lanzoni, L.; Chincarini, M.; Del Rosso, S.; Ferri, N.; Chagunda, M.; Vignola, G.  First assessment of methane emission in Mediterranean Buffaloes with a smart tool: preliminary results., in Proceedings of the 2nd International Electronic Conference on Animals - Global Sustainability and Animals: Welfare, Policies and Technologies, 29 November–13 December 2021, MDPI: Basel, Switzerland, doi:10.3390/IECA2021-12027

  • Kariuki,J., Galie,A., Birner,R., Oyieng,E., Chagunda,M.G.G., Jakinda,S., Milia,D., and Ojango,J.M.K. (2021). Does the gender of farmers matter for improving small ruminant productivity? A Kenyan case study. Small Ruminant Research. 206 (2022).

  • Flockhart, J., Chagunda, M., Kirkland, R., Bagnall, A. and Newbold, J. (2021). Production performance of dairy cows offered rumen-protected (calcium salt) fat supplements differing in proportion of palmitic and oleic fatty acids. Animal-science proceedings, 12(1), p.95.
  • Djikeng A, Mrode R,, Rege EO, Okeyo AM, Aggrey S, Chagunda M, Gondwe T, Olori V, Okeno T and Kahi A. (2021). The African Animal Breeding Network (AABNet): Towards transforming the African livestock development outlook. April 2021, ICAR-Interbull Meeting
  • Chawala, A.L.; Sanchez-Molano, E.; Dewhurst, D.J.; Peters, A.; Chagunda, M.G.G.; Banos, G. (2021). Breeding strategies for improving smallholder dairy cattle productivity in Sub-Saharan Africa. J Anim Breed Genet. 2021;00:1–55. DOI: 10.1111/jbg.12556

  • Newsome, R.F., Mostyn, A., Wilson, J.P., Alibhai, A., Bollard, N., Randall, L., Chagunda, M.G.G., Sturrock, C.J., Keane, M., Green, M., Huxley, J.N., and Rutland, C.S. (2021). Morphology, adipocyte size, and fatty acid analysis of dairy cattle digital cushions, and the effect of body condition score and age. Journal of Dairy Science 104. https://doi.org/10.3168/jds.2020-19388

2020

  • Jonkera, A., Chagunda, M.G.G., Grobler, M., Waghorndand, G.C., van Wyngaard, J.D. (2020). Hand-held laser methane detector to determine methane plume concentrations from ruminants. In: A. Jonker and G.C. Waghorn, ed. 2020. Guidelines for estimating methane emissions from individual ruminants using: GreenFeed, ‘sniffers’, hand-held laser detector and portable accumulation chambers. Ministry for Primary Industries. Ch. 5.
  • Mwanga, G., Lockwood, S., Mujibi, D.F.N., Yonah, Z., and Chagunda, M.G.G. (2020). Machine learning models for predicting the use of different animal breeding services in smallholder dairy farms in Sub-Saharan Africa. Tropical Animal health and Production. https://doi.org/10.1007/s11250-019-02097-5
  • Reiber, C., Wollmeister, M., Sommer, T., and Chagunda, M.G.G. (2020). Status quo und Determinanten der Kälbervermarktung von ökologischen und konventionellen Milchviehbetrieben in Baden-Württemberg. Züchtungskunde, 92, 320-338.
  • Opoola, O., Banos, G., Ojango, J.M.K., Mrode, R., Simm, G., Banga, C.B., Beffa, L.M., and Chagunda, M.G.G. (2020). Joint genetic analysis for dairy cattle performance across countries in sub-Saharan Africa. SASAS South African Society of Animal Science, 50, 507-520. http://dx.doi.org/10.4314/sajas.v50i4.3
  • Chiumia, D., Gondwe, T.N., Banda, L.J., Sivaselvam, S.N., Ulbrich, S.E., and Chagunda, M.G.G. (2020). Enhancing knowledge exchange and performance recording through use of short messaging service in smallholder dairy farming systems in Malawi. Cogent food & agriculture, 6. https://doi.org/10.1080/23311932.2020.1801214
  • Chawala, A.R., Mwai, O.A., Peters, A., Banos, G., and Chagunda, M.G.G. (2020). Towards a better understanding of breeding objectives and production performance of dairy cattle in sub-Saharan Africa: a systematic review and meta-analysis. CAB Reviews 2020, 15. https://10.1079/PAVSNNR202015007
  • Mrode, R., Dzivenu, C.E., Marshall, K., Chagunda, M.G.G., Muasa, B.S., Ojango, J., and Okeyo, A.M. (2020). Phenomics and its potential impact on livestock development in low income countries: 1 Innovative applications of emerging related digital technology. Animal Frontiers, Vol. 10. https://doi:10.1093/af/vfaa002
  • Muth, P.C., Pöhlmann, I.K., Bae, S., Reiber, C., Bondoc, O.L., and Valle Zárate, A. (2020). Does backyard-keeping of native sows by smallholders in Quezon, Philippines, offer sustainability benefits compared to more intensive management of exotic sow breeds? Journal of Agriculture and Rural Development in the Tropics and Subtropics, Vol. 121 , 43-55. https://doi:10.17170/kobra-202002281033

2019

  • Opoola, O., Mrode, R., Banos, G., Ojango, J., Banga, C., Simm, G., and Chagunda, M.G.G. (2019). Current situations of animal data recording dairy improvement infrastructure, human capacity and strategic issues affecting dairy production in sub-Saharan Africa. Tropical Animal health and Production. https://doi: 10.1007/s11250-019-01871-9
  • Chawala, A.R., Banos, G., Peters, A., and Chagunda, M.G.G. (2019). Farmer-preferred traits in smallholder dairy farming systems in Tanzania. Tropical Animal health and Production. https://doi.org/10.1007/s11250-018-01796-9

2018

  • Bunning, H., Wall, E., Chagunda, M.G.G., Banos, G., and Simm, G. (2018). Heterosis in cattle crossbreeding shemes in tropical regions: meta-analysis of effects of breed combination, trait type, and climate on level of heterosis. Journal of Animal Science. https://doi.org/10.1093/jas/sky406
  • Chagunda, M.G.G., Mujibi, F.D.N., Dusingizimana, T., Kamana, O., Cheruiyot, E., and Mwai, O.A. (2018). Use of high density single nucleotide polymorphism (SNP) arrays to assess genetic diversity and population structure of dairy cattle in smallholder dairy systems: The case of Girinka programme in Rwanda. Frontiers in Genetics, 9. https://doi.org/10.3389/fgene.2018.00438
  • Lovendahl, P., Difford, G.F., Chagunda, M.G.G., Huhtanen, P., Lidauer, M.H., Lassen, J., and Lund, P. (2018). Selecting for improved feed efficiency and reduces methane emissions in dairy cattle. Animal , 1-14. https://doi:10.1017/S1751731118002276
  • Mwanga, G., Mujibi, F.D.N., Yonah, Z.O., and Chagunda, M.G.G. (2018). Multi-country investigation of factors infleuencing breeding decisions by smallholder dairy farmers in sub-Saharan Africa. Tropical Animal health and Production, 50, 1-15. https://doi.org/10.1007/s11250-018-1703-7
  • Thorup, V.M., Chagunda, M.G.G., Fischer, A., Weisbjerg, M.R., and Friggens, N.C. (2018). Robustness and sensitivity of a blueprint for on-farm estimation of dairy cow energy balance. Journal of Dairy Science, 101, 6002-6018. https://doi.org/10.3168/jds.2017-14290
  • Traoré, S. A., Reiber, C., Megersa, B., & Zárate, A. V. (2018). Contribution of cattle of different breeds to household food security in southern Mali. Food Security, 10(3), 549-560. https://doi.org/10.1007/s12571-018-0795-2
  • Traoré, S.A., Reiber, C., and Valle Zárate, A. (2018). Productive and economic performance of endemic N`Dama cattle in southern Mali compared to Fulani Zebu and their crossbreds. Livestock Science, 209, 77-85. https://doi.org/10.1016/j.livsci.2018.01.013
  • Cameron, L., Chagunda, M.G.G., Roberts, D.J., and Lee, M.A. (2018). A comparison of milk yields and methane production from three contrasting high-yielding dairy cattle feeding regimes: Cut- and curry, partial grazing and total mixed ration. Grass Forage Science, 1-9. https://doi:10.1111/gfs.12353