Identifying the Most Important Linear Body Depth Traits Associated with Milk Yield in Dairy Cattle

Authors

DOI:

https://doi.org/10.5965/223811712232023453

Keywords:

body measurement, correlation, depth dimension, Holstein cows, principal component

Abstract

Depth dimensions are a fundamental linear type trait in the animal body included in dairy cattle science. Unfortunately, the prominent body depth dimension to milk yield is unspecified in lucidity. Thus, the objective of the current research was to identify the excellent body depth dimension of dairy cattle for milk yield as a selection precedence trait. The experiment employed 121 lactation Holstein cows aged specify as 2–6, raised on an Indonesian smallholder commercial dairy farm. R version 4.2.1 with RStudio software simultaneously worked as a statistical analysis tool. The principal component analysis (PCA), correlation, and regression analyses were executed sequentially. The product of the PCA revealed that the chest depth (CHD), body depth (BDD), and udder depth (UDD) traits are the essential body depth dimensions in dairy cattle. A crowning envoy associated with the milk yield capacity was delegated to the UDD trait. However, the UDD is the finest trait for the lactation cow selection program. Presumably, the BDD trait is the prime characteristic for calves and heifer selection schemes.

 

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Author Biography

Mustafa Garip, Faculty of Veterinary Medicine, Selçuk University, Konya, Turkey

 

 

References

AFRIDI H et al. 2022. Optimized deep-learning-based method for cattle udder traits classification. Journal of Mathematics 10: 3097.

ALIMZHANOVA LV et al. 2018. The level of milk production depends on the exterior traits of dairy cows. OnLine Journal of Biological Sciences 18: 29-36.

ALMAIAH MA et al. 2022. Performance investigation of principal component analysis for intrusion detection system using different support vector machine kernels. Journal of Electronics 11: 3571.

ALTARRIBA J et al. 2006. Effect of growth selection on morphology in Pirenaica cattle. Journal of Animal Research 55: 55-63.

ARTONI F et al. 2018. Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. Journal of Neuroimage 175: 176-187.

AYÇAGUER LCS & UTRA IMB. 2001. Selección algorítmica de modelos en las aplicaciones biomédicas de la regresión múltiple. Journal of Medicina Clínica 116: 741-745.

BAIMUKANOV DA et al. 2022. Exterior and body types of cows with different levels of dairy productivity. American Journal of Animal Veterinary 17: 154 -164.

BANERJEE S et al. 2014. Some traditional livestock selection criteria as practised by several indigenous communities of Southern Ethiopia. Journal of Animal Genetic Resources 54: 153-162.

BEACHAM TD & MURRAY CB. 1985. Variation in length and body depth of pink salmon (Oncorhynchus gorbuscha) and chum salmon (O. keta) in southern British Columbia. Canadian Journal of Fish Aquat Science 42: 312-319.

BEGUM S et al. 2015. Identification and characterization of dwarf cattle available in Dinajpur district. Asian Journal of Medical and Biological Research 1: 380–386.

BERNARD C & HIDIROGLOU M. 1968. Body measurements of purebred and crossbred Shorthorn beef calves from birth to one year. Canadian Journal of Animal Science 48: 389-395.

BERRY D & EVANS R. 2022. The response to genetic merit for milk production in dairy cows differs by cow body weight. JDS Communications 3: 32-37.

BERRY DP et al. 2004. Genetic relationships among linear type traits, milk yield, body weight, fertility and somatic cell count in primiparous dairy cows. Irish Journal of Agriculture Food Research 43: 161–176.

BILAL G et al. 2016. Genetic and phenotypic associations of type traits and body condition score with dry matter intake, milk yield, and number of breedings in first lactation Canadian Holstein cows. Canadian Journal of Animal Science 96: 434-447.

BLACKMORE DW et al. 1958. Relationships between body measurements, meat conformation, and milk production. Journal of Dairy Science 41: 1050-1056.

BONCZEK RR et al. 1992. Correlated response in growth and body measurements accompanying selection for milk yield in Jerseys. Journal of Dairy Science 75: 307-316.

BOUŠKA J et al. 2006. The relationship between linear type traits and stayability of Czech Fleckvieh cows. Czech Journal of Animal Science 51: 299-304.

CHU MX & SHI SK. 2002. Phenotypic factor analysis for linear type traits in Beijing Holstein cows. Asian-Australasian Journal of Animal Sciences 15: 1527-1530.

COLE JB et al. 2021. Invited review: The future of selection decisions and breeding programs: What are we breeding for, and who decides? Journal of Dairy Science 104: 5111-5124.

DEGROOT B et al. 2002. Genetic parameters and responses of linear type, yield traits, and somatic cell scores to divergent selection for predicted transmitting ability for type in Holsteins. Journal of Dairy Science 85: 1578-1585.

DURU S et al. 2012. Estimation of variance components and genetic parameters for type traits and milk yield in Holstein cattle type traits and milk yield in Holstein cattle. Turkish Journal of Veterinary & Animal Sciences 36: 585-591.

EVERETT R & CARTER H .1968. Accuracy of test interval method of calculating dairy herd improvement association records. Journal of Dairy Science 51: 1936-1941.

GALLO L et al. 1996. Change in body condition score of Holstein cows as affected by parity and mature equivalent milk yield. Journal of Dairy Science 79: 1009-1015.

GALLUZZO F et al. 2022. Estimation of milk ability breeding values and variance components for Italian Holstein. JDS communications 3: 180-184.

GELAYE G et al. 2022. Morphometric traits and structural indices of indigenous cattle reared in Bench Sheko zone, southwestern Ethiopia. Journal of Heliyon 8: e10188.

GOWEN JW. 1933. Conformation of the cow as related to milk secretion, Jersey register of merit. The Journal of Agricultural Science 23: 485-513.

GRUBER L et al. 2018. Body weight prediction using body size measurements in Fleckvieh, Holstein, and Brown Swiss dairy cows in lactation and dry periods. Journal of Archive Animal Breeding 61: 413-424.

HIENDLEDER S et al. 2003. Mapping of QTL for body conformation and behaviour in cattle. Journal of Heredity 9: 496-506.

ICAR. 2022. Appendix 1 of Section 5 of the ICAR Guidelines - The standard trait definition for Dairy Cattle. The Global Standard for Livestock Data 5: 1-71.

JAYRAJ P et al. 2019. Measurement of morphometric dimensions and mechanical properties of Rohu fish for design of processing machines. Journal of Aquatic Food Product Technology 28: 150-164.

JUSTINA J. 2012. Radiation transport simulation studies using MCNP for a cow phantom to determine an optimal detector configuration for a new livestock portal. Master of Science. Texas: Texas A & M University. 83p.

JUOZAITIENE V et al. 2004. Relationship between somatic cell count and milk production or morphological traits of udder in Black-and-White cows. Turkish Journal of Veterinary Animal Science 30: 47-51.

KASSUMMA S. 1981. Correlated responses in body weight and measurement to milk production. Master of Science. Iowa: Iowa State University. 94p.

KHAN MA & KHAN MS. 2016. Heritability, genetic and phenotypic correlations of body capacity traits with milk yield in Sahiwal cows of Pakistan. Pakistan Journal of Life and Social Science 14: 77 - 82.

KIELLAND C et al. 2010. Risk factors for skin lesions on the necks of Norwegian dairy cows. Journal of Dairy Science 93: 3979-3989.

KLAAS IC et al. 2004. Systematic clinical examinations for identification of latent udder health types in Danish dairy herds. Journal of Dairy Science 87: 1217–1228.

KOENEN E & GROEN A. 1998. Genetic evaluation of body weight of lactating Holstein heifers using body measurements and conformation traits. Journal of Dairy Science 81: 1709-1713.

KUMAR P. 2019. Statistical relationship between the parameters of some indexed journals by fuzzy linear regression. International Journal of Recent Technology and Engineering 8: 4959-4964.

LE COZLER Y et al. 2019a. High-precision scanning system for complete 3D cow body shape imaging and analysis of morphological traits. Journal of Computers Electronics in Agriculture 157: 447-453.

LE COZLER Y et al. 2019b. Volume and surface area of Holstein dairy cows calculated from complete 3D shapes acquired using a high-precision scanning system: Interest for body weight estimation. Journal of Computers Electronics in Agriculture 165: 104977.

LEE DH et al. 2022. Validation of the significance of body condition score and body composition traits estimated based on image data for prediction of meat quantity traits in Korean cattle. Journal of Animal Breeding and Genomics 6:19-26.

LI K & TENG GJE. 2022. Study on body size measurement method of goat and cattle under different background based on deep learning. Journal of Electronics 11: 993.

MANDAL DK et al. 2022. Non-gonadal linear-type traits can discriminate the reproductive ability of breeding dairy bulls. Journal of Reproduction in Domestic Animals 57: 505-514.

MARTYNOVA E & ISUPOVA YV. 2019. Milk productivity and exterior of luteinized cows of the Kholmogory breed of different generations. IOP Conference Series: Earth Environment Science 315: 072029.

McGEE M et al. 2007. Body and carcass measurements, carcass conformation, and tissue distribution of high dairy genetic merit Holstein, standard dairy genetic merit Friesian, and Charolais× Holstein-Friesian male cattle. Irish Journal of Agriculture Food Research 46: 129–147.

MIGLIOR F et al. 2007. Genetic analysis of milk urea nitrogen and lactose and their relationships with other production traits in Canadian Holstein cattle. Journal of Dairy Science 90: 2468-2479.

MIGOSE S et al. 2020. Accuracy of estimates of milk production per lactation from limited test-day and recall data collected at smallholder dairy farms. Journal of Livestock Science 232: 103911.

OLASEGE BS et al. 2019. Genetic parameter estimates for body conformation traits using composite index, principal component, and factor analysis. Journal of Dairy Science 102: 5219-5229.

OZKAYA S & BOZKURT Y. 2009. The accuracy of prediction of body weight from body measurements in beef cattle. Journal of Archive Animal Breeding 52: 371-377.

ÖZLÜTÜRK A et al. 2006. Determination of linear regression models for estimation of body weights of Eastern Anatolian Red cattle. Atatürk Üniversitesi Ziraat Fakültesi Dergisi 37: 169-175.

PARKE Jr P et al. 1999. Genetic and phenotypic parameter estimates between production, feed intake, feed efficiency, body weight, and linear type traits in first lactation Holsteins. Canadian Journal of Animal Science 79: 425-431.

PETRAK S et al. 2012. Research of 3D body models computer adjustment based on anthropometric data determined by laser 3D scanner. Proc. 3rd International Conference of 3D Body Scanning Tech. Lugano: Switzerland. p.115-126.

PRUITT R & MOMONT P. 1987. Effects of body condition on reproductive performance of range beef cows. South Dakota Beef Report 10: 29-36.

RIEKERINK RO et al. 2014. Prevalence, risk factors, and a field scoring system for udder cleft dermatitis in Dutch dairy herds. Journal of Dairy Science 97: 5007-5011.

ROGERS GW. 1993. Index selection using milk yield, somatic cell score, udder depth, teat placement, and foot angle. Journal of Dairy Science 76: 664–670.

ROGERS GW. 1996. Using type for improving the health of the udder and feet and legs. Interbull Bulletin 12: 33-41.

ROSTELLATO R et al. 2021. Influence of production, reproduction, morphology, and health traits on true and functional longevity in French Holstein cows. Journal of Dairy Science 104: 12664-12678.

RUELLE E et al. 2019. The linkage between the predictive transmitting ability of a genetic index, potential milk production, and a dynamic model. Journal of Dairy Science 102: 3512–3522.

SAMPURNA IP et al. 2014. Patterns of growth of Bali Cattle body dimensions. ARPN Journal of Science and Technology 4: 20-30.

SANTOS D et al. 2018. Genetic and nongenetic profiling of milk pregnancy-associated glycoproteins in Holstein cattle. Journal of Dairy Science 101: 9987-10000.

SCHMIDTMANN C et al. 2023. Genetic analysis of production traits and body size measurements and their relationships with metabolic diseases in German Holstein cattle. Journal of Dairy Science 106: 421-438.

SHANKS R & SPAHR S. 1982. Relationships among udder depth, hip height, hip width, and daily milk production in Holstein cows. Journal of Dairy Science 65: 1771-1775.

SIEBER M et al. 1988. Relationships between body measurements, body weight, and productivity in Holstein dairy cows. Journal of Dairy Science 71: 3437-3445.

SINGH RS et al. 2014. Udder health in relation to udder and teat morphometry in Holstein Friesian× Sahiwal crossbred dairy cows. Journal of Tropical Animal Health and Production 46: 93–98.

SLIMENE A et al. 2020. Characterization of Holstein cull cows using morphometric measurements: Towards cattle grading system in Tunisia. Advances in Animal and Veterinary Sciences 8: 1340-1345.

TANNI SE et al. 2020. Correlation vs regression in association studies. The Brazilian Journal of Pulmonology 46: e20200030.

TERAWAKI Y et al. 2010. Genetic Relationships between Length of Productive Life and Type Traits in a Holstein Population in Japan. 9. World Congress on Genetics Applied to Livestock Production 226: 01193763.

VACEK M et al. 2006. Relationships between conformation traits and longevity of Holstein cows in the Czech Republic. Czech Journal of Animal Science 51: 327.

VEERKAMP R. 1998. Selection for economic efficiency of dairy cattle using information on live weight and feed intake: a review. Journal of Dairy Science 81: 1109–1119.

WHITAKER T & SEABROOK J. 2006. Comparative analysis of wither height, body depth, and ground clearance between elite, potential elite, and non-achieving event horses. Proceeding British Society of Animal Science. Cambridge University Press. p.144.

WILLIAMS M et al. 2022. Re-assessing the importance of linear type traits in predicting genetic merit for survival in an ageing Holstein-Friesian dairy cow population. Journal of Dairy Science 105: 7550–7563.

XAVIER C et al. 2022. The use of 3-dimensional imaging of Holstein cows to estimate body weight and monitor the composition of body weight change throughout lactation. Journal of Dairy Science 105: 4508-4519.

XU L et al. 2022. Factor analysis of genetic parameters for body conformation traits in dual-purpose Simmental cattle. Journal of Animal 12: 2433.

XUE X et al. 2023. Estimation of genetic parameters for conformation traits and milk production traits in Chinese Holsteins. Journal of Animals 13: 100.

YOUNAS U et al. 2013. Inter-relationship of body weight with linear body measurements in Hissardale sheep at different stages of life. Journal of Animal and Plant Science 23: 40-44.

ZAVADILOVÁ L et al. 2009. Relationships between longevity and conformation traits in Czech Fleckvieh cows. Czech Journal of Animal Science 54: 385-394.

ZINDOVE T et al. 2015. Relationship between linear type and fertility traits in Nguni cows. Journal of Animal 9: 944-951.

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Published

2023-08-04

How to Cite

PRABOWO, Sigid; GARIP, Mustafa. Identifying the Most Important Linear Body Depth Traits Associated with Milk Yield in Dairy Cattle. Revista de Ciências Agroveterinárias, Lages, v. 22, n. 3, p. 453–462, 2023. DOI: 10.5965/223811712232023453. Disponível em: https://periodicos.udesc.br/index.php/agroveterinaria/article/view/23592. Acesso em: 22 dec. 2024.

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Section

Research Article - Science of Animals and Derived Products