Do haematological profiles of cows in drought prone areas differ with conformation?

  • Takunda Dzavo Bindura University of Science Education, Faculty of Agriculture and Environmental Science, Dept. Animal Science, Private Bag 1020, Bindura
  • Titus J. Zindove Fiji National University, School of Animal and Veterinary Sciences, Dept. Animal Science, P.O Box 7222, Nasinu http://orcid.org/0000-0001-5358-5995
  • Marshall Dhliwayo Bindura University of Science Education, Faculty of Agriculture and Environmental Science, Dept. Animal Science, Private Bag 1020, Bindura
  • Michael Chimonyo University of Kwa-Zulu Natal, School of Agriculture, Earth and Environmental Science, Animal and Poultry Science, P. Bag X01, Scottsville 3209, Pietermaritzburg http://orcid.org/0000-0002-3206-3191
  • Musavenga T. Tivapasi University of Zimbabwe, Dept. Veterinary Science, P.O. Box MP 167, Mount Pleasant, Harare
Keywords: body conformation, haemoconcentration, season, coat colour

Abstract

Aim of study: Severe and frequent droughts have resulted in loss of thousands of rangeland cattle worldwide. The objectives of the current study were to assess the reduction in dimensionality of seven conformation traits and to determine the relationships between extracted constructs and haematological parameters associated with drought resilience in beef cows.

Area of study: Muzarabani district, Zimbabwe.

Material and methods: Fifty multiparous Mashona cows kept on natural rangelands were used. The collinearity of seven conformation traits of the cows was reduced using principal component analysis. The relationships between the principal components and hematological profiles of the cows were subsequently determined using regression analysis.

Main results: First extracted principal component described body capacity (body depth, flank circumference, chest girth). The second component described the frame size (stature and body length) of the cows and the third component was comprised of sheath height and dewlap size. Cows characterised by deep bodies, large flanks and chest girths had low percent haematocrit (HCT), mean capsular haemoglobin concentration (MCHC) and red cell distribution (RDW) (p<0.05). Small-framed cows were associated with low mean platelet volume (MPV), HCT, MCHC and RDW levels in blood (p<0.05). As principal component 3 of conformation traits increased, white blood cell count, mean corpuscular volume, RDW and MPV decreased (p<0.05).

Research highlights: Small-framed cows with large thoracic capacities, large dewlaps and belly bottoms far away from the ground surface are able to maintain haematological normalcy under rangelands in drought prone areas.

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References

Adebambo OA, 2001. The Muturu: a rare sacred breed of cattle in Nigeria. Anim Gen Res Info 31: 27-36. https://doi.org/10.1017/S1014233900001450

Ahlberg CM, Allwardt K, Broocks A, Bruno K, Taylor A, Mcphillips L, Krehbiel CR, Calvo-Lorenzo M, Richards CJ, Place SE, Desilva U, 2019. Characterization of water intake and water efficiency in beef cattle. J Anim Sci 97 (12): 4770-4782. https://doi.org/10.1093/jas/skz354

Alberghina D, Giannetto C, Vazzana I, Ferrantelli V, Piccione G, 2011. Reference intervals for total protein concentration, serum protein fractionsand albumin/globulin ratios in clinically healthy dairy cows. J Vet Diagn Invest 23 (1): 111-114. https://doi.org/10.1177/104063871102300119

Ajeet K, Meena K, 2011. Effect of heat stress in tropical livestock and different strategies for its amelioration. J Stress Physiol Biochem 7: 45-54.

Alfonzo EPM, Barbosa da Silva MVG, dos Santos Daltro D, Stumpf MT, Dalcin VC, Kolling G, Fischer V, McManus CM, 2016. Relationship between physical attributes and heat stress in dairy cattle from different genetic groups. Int J Biometeorol 60 (2): 245-253. https://doi.org/10.1007/s00484-015-1021-y

Assan N, 2012. Genetic improvement and utilization of indigenous cattle breeds for beef production in Zimbabwe: past, present and future prospects: A review. Sci J Agric 1 (1): 1-7.

Atrian P, Shahryar HA, 2012. Heat stress in dairy cows (A Review). Res Zool 2 (4): 31-37.

Berry DP, Buckley F, Dillon P, Evans RD, Veerkamp RF, 2004. Genetic relationships among linear type traits, milk yield, body weight, fertility and somatic cell count in primiparous dairy cows. Irish J Agr Food Res 43: 161-176.

BIF, 2010. Guidelines for uniform beef improvement programs. Beef Improvement Federation. https://beefimprovement.org/wp-content/uploads/2013/07/BIFGuidelinesFinal_updated0916.pdf

Bro-Jørgensen J, 2016. Evolution of the ungulate dewlap: Thermoregulation rather than sexual selection or predator deterrence? Front Zool 13 (1): 1-7. https://doi.org/10.1186/s12983-016-0165-x

Broucek J, Kisac P, Uhrincat M, 2009. Effect of hot temperatures on the haematological parameters, health and performance of calves. Int J Biometeorol 53: 201-208. https://doi.org/10.1007/s00484-008-0204-1

Brown-Brandl TM, 2018. Understanding heat stress in beef cattle. R Bras Zootec 47: 1-9. https://doi.org/10.1590/rbz4720160414

Brucka-Jastrzȩbska E, Kawczuga D, Brzezińska M, Orowicz W, Lidwin-Kaźmierkiewicz M, 2007. Dependence of hematological parameters in Simmental breed cattle on physiological conditions. Med Weter 63: 1583-1586.

Cattell RB, 1966. The scree-test for the number of factors. Multivariate Behav Res 1: 140-161. https://doi.org/10.1207/s15327906mbr0102_10

Caulfield MP, Cambridge H, Foster SF, Mcgreevy PD, 2014. Heat stress: a major contributor to poor animal welfare associates with long-haul live export voyages. Vet J 199 (2), 223-228. https://doi.org/10.1016/j.tvjl.2013.09.018

Chakravarthy A, Muniyappa C, Kandakoor S, Bhattacharya A, Dhanabala K, Gurunatha K, 2012. Bio efficacy of inorganic nanoparticles CdS, nano-Ag and nano-TiO2 against Spodoptera litura (Fabricius) (Lepidoptera: Noctuidae). Curr Biot 6: 271-281.

Chanza N, de Wit A, 2014. Harnessing indigenous knowledge for enhancing CBA and resilience in Muzarabani dryland, Zimbabwe. East and Southern Africa CBA & Resilience Learning Conference, ILRI Campus, Addis Ababa, Ethiopia, 1-4 Sept. 2014.

Cozzi G, Ravarotto L, Gottardo F, Stefani AL, Contiero B, Moro L, Dalvit P, 2011. Reference values for blood parameters in Holstein dairy cows: Effects of parity, stage of lactation and season of production. J Dairy Sci 94 (8): 3895-3901. https://doi.org/10.3168/jds.2010-3687

Descheemaeker K, Zijlstra M, Masikati P, Crespo O, Tui SHK, 2018. Effects of climate change and adaptation on the livestock component of mixed farming systems: A modelling study from semi-arid Zimbabwe. Agric Sys 159: 282-295. https://doi.org/10.1016/j.agsy.2017.05.004

Doornenbal H, Tong AK, Murray NL, 1988. Reference values of blood parameters in beef cattle of different ages and stages of lactation. Can J Vet Res 52 (1): 99-105.

Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carré G, Marquéz JRG, Gruber B, Lafourcade B, Leitão PJ, Münkemüller T, 2013. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36 (1): 27-46. https://doi.org/10.1111/j.1600-0587.2012.07348.x

Dubey A, Mishra S, Khune V, Gupta PK, Sahu BK, Nandanwar AK, 2012. Improving linear type traits to improve production sustainability and longevity in purebred Sahiwal cattle. J Agr Sci Tech 2: 636-639.

Dzavo T, Zindove T J, Dhliwayo M, Chimonyo M, 2019. Effects of drought on cattle production in sub-tropical environments. Trop Anim Health Pro 51: 669-675. https://doi.org/10.1007/s11250-018-1741-1

Forabosco F, Groen AF, Bozzi R, Van Arendonk JAM, Filippini F, Boettcher P, Bijma P, 2004. Phenotypic relationships between longevity, type traits, and production in Chianina beef cattle. J Anim Sci 82 (6): 1572-1580. https://doi.org/10.2527/2004.8261572x

Furie R, Petri M, Zamani O, Cervera R, Wallace DJ, Tegzova D, Schwarting A, Merrill JT, Chatham WW, Stohl W, 2011. A Phase III, randomized, placebo-controlled study of Belimumab, a monoclonal antibody that inhibits B lymphocyte stimulator, in patients with systemic lupus erythematosus. Arthritis Rheum 63 (12): 3918-3930. https://doi.org/10.1002/art.30613

Gillooly JF, Brown JH, West GB, Savage VM, Charnov EL, 2001. Effects of size and temperature on metabolic rate. Sci J 293: 2248-2251. https://doi.org/10.1126/science.1061967

Giri A, Bharti VK, Kalia S, Ravindran V, Ranjan P, Kundan TR, Kumar B, 2017. Seasonal changes in haematological and biochemical profile of dairy cows in high altitude cold desert. Indian J Anim Sci 87 (6): 723-727.

Hall SJ, 1998. Traditional livestock in semi-arid north eastern Zimbabwe: Mashona cattle. Trop Anim Health Pro 30 (6): 351-360.

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

Harris GP, Haygarth PM, Condron LM, Heathwaite AL, Turner BL, 2005. The phosphorous transfer continuum: Linking source to impact with an interdisciplinary and multi- scaled approach. Sci Total Environ 344 (3): 5-14. https://doi.org/10.1016/j.scitotenv.2005.02.001

Jurado NV, Tanner AE, Blevins SR, Rich J, Mayes RW, Fiske D, Swecker Jr WS, Lewis RM, 2015. Feed intake and diet selection in Angus-cross heifers of two frame sizes at two stages of growth. J Anim Sci 93 (4): 1565-1572. https://doi.org/10.2527/jas.2014-8453

Kamal R, Dutt T, Patel M, Dey A, Chandran P C, Bharti PK, Barari SK, 2016. Behavioural, biochemical and hormonal responses of heat-stressed crossbred calves to different shade materials. J Appl Anim Res 44 (1): 347-354. https://doi.org/10.1080/09712119.2015.1074076

Katanha A, Masocha V, 2014. Schistosomiasis an issue in flood prone area of Dambakurima Ward 1, Muzarabani District of Zimbabwe. Int J Sci Res 3: 646-650.

Khan IA, Khan A, Hussain A, Riaz A, Aziz A, 2011. Hemato-biochemical alterations in crossbred cattle affected with bovine theileriosis in semi-arid zone. Pak Vet J 31 (2): 137-140.

Khan MA, Khan MS, and Waheed A, 2018. Morphological measurements and their heritabilities for Sahiwal cattle in Pakistan. J Anim Plant Sc 28 (2): 431-440.

Kumar S, Singh SV, Pandey P, Kumar N, Hooda OK, 2016. Estimation of metabolic heat production and methane emission in Sahiwal and Karan Fries heifers under different feeding regimes. Vet World 9 (5): 496-500. https://doi.org/10.14202/vetworld.2016.496-500

Lamp O, Derno M, Otten W, Mielenz M, Kuhla B, 2015. Metabolic heat stress adaption in transition cows: Differences in macronutrient oxidation between late-gestating and early-lactating German Holstein dairy cows. PLOS ONE 10: e0125264. https://doi.org/10.1371/journal.pone.0125264

Mazzullo G, Rifici C, Caccamo G, Rizzo M, Piccione G, 2014. Effect of different environmental conditions on some haematological parameters in cow. Ann Anim Sci 14 (4): 947-954. https://doi.org/10.2478/aoas-2014-0049

Menezes GDO, Gomes RDC, Ribas MN, Torres Jr RDA, Fernandes Jr JA, Pereira GM, Fávero R, da Silva LOC, 2018. Genetic and phenotypic parameters for feed and water efficiency in Senepol cattle. In: Cooperation, networking and global interactions in the animal production sector; Bryant J et al. (eds.). ICAR, Rome, Italy. https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1102269/1/Geneticandphenotypicparameters.pdf

Mugandani R, Wutal M, Makarau A, Chipindu B, 2012. Re-classification of agro-ecological regions of Zimbabwe in conformity with climate variability and change. Afr Crop Sci J 20 (2): 361-369.

Musiyiwa K, Filho WL, Harris D, Nyamangara J, 2014. Implications of climate variability and change for smallholder crop production in different areas of Zimbabwe. Res J Environ Earth Sci 6 (8): 394-401. https://doi.org/10.19026/rjees.6.5249

Mwai O, Hanotte O, Kwon Y, Cho S, 2015. African indigenous cattle: unique genetic resources in a rapidly changing world. Asian-Australas J Anim Sci 28 (7): 911-921. https://doi.org/10.5713/ajas.15.0002R

Nardone A, Ronchi B, Lacetera N, Ranieri MS, Bernabucci U, 2010. Effects of climate changes on animal production and sustainability of livestock systems. Livest Sci 130 (1-3): 57-69. https://doi.org/10.1016/j.livsci.2010.02.011

Nyamushamba GB, Mapiye C, Tada O, Halimani TE, Muchenje V, 2017. Conservation of indigenous cattle genetic resources in Southern Africa's smallholder areas: Turning threats into opportunities-A review. Asian-Australas J Anim 30 (5): 603-621. https://doi.org/10.5713/ajas.16.0024

Obitsu T, Kamiya M, Kamiya Y, Tanaka M, Sugino T, Taniguchi K, 2011. Effects of high ambient temperature on urea‐nitrogen recycling in lactating dairy cows. Anim Sci J 82 (4): 531-553. https://doi.org/10.1111/j.1740-0929.2011.00880.x

Ode SA, Adamu M, Saror DI, 2017. Haematology and some serum biochemistry of apparently healthy Muturu and Bunaji breeds of cattle in Benue State, Nigeria. Comp Clin Path 26 (1): 233-236. https://doi.org/10.1007/s00580-016-2375-1

Osei-Amponsah R, Chauhan SS, Leury BJ, Cheng L, Cullen B, Clarke IJ, Dunshea FR, 2019. Genetic selection for thermotolerance in ruminants. Animals 9 (11): 948 -966. https://doi.org/10.3390/ani9110948

Pandey P, Hooda OK, Kumar S, 2017. Impact of heat stress and hypercapnia on physiological, haematological and behavioral profile of Tharparkar and Karan Fries heifers. Vet World 10 (9): 1146-1155. https://doi.org/10.14202/vetworld.2017.1149-1155

Parés-Casanova PM, Mwaanga ES, 2013. Factor analysis of biometric traits of Tonga cattle for body conformation characterization. Global J Multidiscip Appl Sci 1 (2): 41-46. https://doi.org/10.13070/rs.en.1.809

Phillips CJ, 2018. Principles of cattle production. CSIRO Publ, Clayton South, Australia. 203 pp. https://doi.org/10.1079/9781786392701.0000

Pundir RK, Singh PK, Singh KP, Dangi PS, 2011. Factor analysis of biometric traits of Kankrej cows to explain body conformation. As-Australas J Anim Sci 24: 449-445. https://doi.org/10.5713/ajas.2011.10341

Radkowska I, Herbut E, 2014. Hematological and biochemical blood parameters in dairy cows depending on the management system. Anim Sci Pap Rep 32 (4): 317-325.

Raines CR, Dikemen ME, Unruh JA, Knock RC, 2008. Predicting cattle age from eye lens weight and nitrogen content dentition and United States Department of Agriculture maturity score. J Anim Sci 86 (12): 3557-3567. https://doi.org/10.2527/jas.2007-0445

Roland L, Drillich M, Iwersen M, 2014: Hematology as a diagnostic tool in bovine medicine. J Vet Diagn Invest 26 (5): 592-598. https://doi.org/10.1177/1040638714546490

SAS Inst., 2012. Base SAS® 9.3 procedures guide. SAS Institute, Cary, NC, USA.

Scasta JD, Lalman DL, Henderson L, 2015a. Drought mitigation for grazing operations: matching the animal to the environment. Rangelands 38 (4): 204-210. https://doi.org/10.1016/j.rala.2016.06.006

Scasta JD, Henderson L, Smith T, 2015b. Drought effect on weaning weight and efficiency relative to cow size in semiarid rangeland. J Anim Sci 93 (12): 5829-5839. https://doi.org/10.2527/jas.2015-9172

Scott P, 2017. Condition score (BCS) in beef herds. National Animal Disease Information Service (NADIS). https://www.nadis.org.uk/disease-a-z/cattle/condition-score-bcs-in-beef-herds/#:~:text=Body%20condition%20scoring%20(BCS)%20is,energy%20reserves%20in%20the%20cow

Sejian V, Gaughan J, Bhatta R, Naqvi M, 2016. Impact of climate change on livestock productivity. FAO food and nutrition series02. http://www.feedipedia.org/content/impact-climate-change-livestock-productivity

Singh SV, Gupta S, Singh PK, Singh AV, Sohal JS, Kumar N, Kumar A, Chaubey KK, Singh B, 2013. Therapeutic management of clinical Bovine Johne's disease using goat based 'indigenous vaccine'in native Hariana Cattle: case reports. Adv Anim Vet Sci 1 (1): 23-28.

Sreedhar S, Rao KS, Suresh J, Moorthy PR, Reddy VP, 2013. Changes in haematocrit and some serum biochemical profile of Sahiwal and Jersey× Sahiwal cows in tropical environments. Vet Arh 83 (2): 171-187.

Taiwo BBA, Olarin ODD, Aluko FA, 2010. Breed and environmental factors affecting body measurements of beef cattle in Yewa, Nigeria. Agric J 5: 211-214. https://doi.org/10.3923/aj.2010.211.214

Takeda M, Uemoto Y, Inoue K, Ogino A, Nozaki T, Kurogi K, Yasumori T, Satoh M, 2018. Evaluation of feed efficiency traits for genetic improvement in Japanese Black cattle. J Anim Sci 96 (3): 797-805. https://doi.org/10.1093/jas/skx054

Wennecke G, 2004. Haematocrit - A review of different analytical methods. Radiometer Medical ApS. https://acutecaretesting.org/-/media/acutecaretesting/files/pdf/hematocrit--a-review-of-different-analytical-methods.pdf

Zindove TJ, Chimonyo M, 2015. Comparison of trait preferences of Nguni farmers located in semi-arid and sub-humid environments. Trop Anim Health Pro 47: 607-611. https://doi.org/10.1007/s11250-014-0750-y

Zindove TJ, Chimonyo M, Nephawe KA, 2015. Relationship between linear type and fertility traits in Nguni cows. Anim 9 (6): 944-951. https://doi.org/10.1017/S1751731114003231

Published
2020-09-22
How to Cite
Dzavo, T., Zindove, T. J., Dhliwayo, M., Chimonyo, M., & Tivapasi, M. T. (2020). Do haematological profiles of cows in drought prone areas differ with conformation?. Spanish Journal of Agricultural Research, 18(2), e0604. https://doi.org/10.5424/sjar/2020182-16029
Section
Animal production