Detection of difficult calvings in the Polish Holstein-Friesian Black-and-White heifers

References

• Aguiar GFM, Batista BL, Rodrigues JL, Silva LRS, Campiglia AD, Barbosa RM, Barbosa F. 2012. Determination of trace elements in bovine semen samples by inductively coupled plasma mass spectrometry and data mining techniques for identification of bovine class. J Dairy Sci. 95:7066–7073. 10.3168/jds.2012-5515
   PubMed Web of Science ®Google Scholar
• Alsaaod M, Römer C, Kleinmanns J, Hendriksen K, Rose-Meierhöfer S, Plümer L, Büscher W. 2012. Electronic detection of lameness in dairy cows through measuring pedometric activity and lying behavior. Appl Anim Behav Sci. 142:134–141. 10.1016/j.applanim.2012.10.001
   Web of Science ®Google Scholar
• Arthur PF, Archer JA, Melville GJ. 1999. Factors influencing dystocia and prediction of dystocia in Angus heifers selected for yearling growth rate. Crop Pasture Sci. 51:147–154. 10.1071/AR99070
   Web of Science ®Google Scholar
• Barrier ACM. 2012. Effects of a difficult calving on the subsequent health and welfare of the dairy cows and calves [ dissertation]. Edinburgh: University of Edinburgh.
   Google Scholar
• Barrier AC, Haskell MJ, Birch S, Bagnall A, Bell DJ, Dickinson J, Macrae AI, Dwyer CM. 2012. The impact of dystocia on dairy calf health, welfare, performance and survival. Vet J. 195:86–90. 10.1016/j.tvjl.2012.07.031
   PubMed Web of Science ®Google Scholar
• Barrier AC, Mason C, Dwyer CM, Haskell MJ, Macrae AI. 2013. Stillbirth in dairy calves is influenced independently by dystocia and body shape. Vet J. 197:220–223. 10.1016/j.tvjl.2012.12.019
   PubMed Web of Science ®Google Scholar
• Basarab JA, Rutter LM, Day PA. 1993. The efficacy of predicting dystocia in yearling beef heifers: II. Using discriminant analysis. J Anim Sci. 71:1372–1380.
   PubMed Web of Science ®Google Scholar
• Berry DP, Lee JM, Macdonald KA, Roche JR. 2007. Body condition score and body weight effects on dystocia and stillbirths and consequent effects on postcalving performance. J Dairy Sci. 90:4201–4211. 10.3168/jds.2007-0023
   PubMed Web of Science ®Google Scholar
• Biswas TK, Bhattacharya TK, Narayan AD, Badola S, Kumar P, Sharma A. 2003. Growth hormone gene polymorphism and its effect on birth weight in cattle and buffalo. Asian-Australas J Anim Sci. 16:494–497.
   Web of Science ®Google Scholar
• Breiman L. 1984. Classification and regression trees. Boca Raton (FL): Chapman & Hall.
   Google Scholar
• Cole JB, van Raden PM, O'Connell JR, van Tassell CP, Sonstegard TS, Schnabel RD, Taylor JF, Wiggans GR. 2009. Distribution and location of genetic effects for dairy traits. J Dairy Sci. 92:2931–2946. 10.3168/jds.2008-1762
   PubMed Web of Science ®Google Scholar
• Cole JB, Waurich B, Wensch-Dorendorf M, Bickhart DM, Swalve HH. 2014. A genome-wide association study of calf birth weight in Holstein cattle using single nucleotide polymorphisms and phenotypes predicted from auxiliary traits. J Dairy Sci. 97:3156–3172. 10.3168/jds.2013-740910.3168/jds.2013-7409
   PubMed Web of Science ®Google Scholar
• Cole JB, Wiggans GR, Ma L, Sonstegard TS, Lawlor Jr TJ, Crooker BA, Van Tassell CP, Yang J, Wang S, Matukumalli LK, Da Y. 2011. Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary U.S. Holstein cows. BMC Genomics. 12:408. 10.1152/physiolgenomics.00096.2006
   PubMed Web of Science ®Google Scholar
• Dematawewa CMB, Berger PJ. 1997. Effect of dystocia on yield, fertility, and cow losses and an economic evaluation of dystocia scores for Holsteins. J Dairy Sci. 80:754–761. 10.3168/jds.S0022-0302(97)75995-2
   PubMed Web of Science ®Google Scholar
• Eberlein A, Takasuga A, Setoguchi K, Pfuhl R, Flisikowski K, Fries R, Klopp N, Fürbass R, Weikard R, Kühn C. 2009. Dissection of genetic factors modulating fetal growth in cattle indicates a substantial role of the non-SMC condensin I complex, subunit G (NCAPG) gene. Genetics. 183:951–964. 10.1534/genetics.109.106476
   PubMed Web of Science ®Google Scholar
• Ettema JF, Santos JEP. 2004. Impact of age at calving on lactation, reproduction, health, and income in first-parity Holsteins on commercial farms. J Dairy Sci. 87:2730–2742. 10.3168/jds.S0022-0302(04)73400-1
   PubMed Web of Science ®Google Scholar
• Ferguson JD, Galligan DT, Thomsen N. 1994. Principal descriptors of body condition score in Holstein cows. J Dairy Sci. 77:2695–2703. 10.3168/jds.S0022-0302(94)77212-X
   PubMed Web of Science ®Google Scholar
• Fiedlerová M, Řehák D, Vacek M, Volek J, Fiedler J, Šimeček P, Mašata O, Jílek F. 2008. Analysis of non-genetic factors affecting calving difficulty in the Czech Holstein population. Czech J Anim Sci. 53:284–291.
   Web of Science ®Google Scholar
• Flamenbaum I, Wolfenson D, Kunz PL, Maman M, Berman A. 1995. Interactions between body condition at calving and cooling of dairy cows during lactation in summer. J Dairy Sci. 78:2221–2229. 10.3168/jds.S0022-0302(95)76849-7
   PubMed Web of Science ®Google Scholar
• Giblin L, Butler ST, Kearney BM, Waters SM, Callanan MJ, Berry DP. 2010. Association of bovine leptin polymorphisms with energy output and energy storage traits in progeny tested Holstein-Friesian dairy cattle sires. BMC Genet. 11:73. 10.1186/1471-2156-11-73
   PubMed Web of Science ®Google Scholar
• Grzesiak W, Zaborski D, Sablik P, Pilarczyk R. 2011. Detection of difficult conceptions in dairy cows using selected data mining methods. Anim Sci Pap Rep. 29:293–302.
   Web of Science ®Google Scholar
• Gulliksen SM, Lie KI, Løken T, Østeråas O. 2009. Calf mortality in Norwegian dairy herds. J Dairy Sci. 92:2782–2795. 10.3168/jds.2008-1807
   PubMed Web of Science ®Google Scholar
• Hansen M, Lund MS, Pedersen J, Christensen LG. 2004. Gestation length in Danish Holsteins has weak genetic associations with stillbirth, calving difficulty, and calf size. Livest Prod Sci. 91:23–33. 10.1016/j.livprodsci.2004.06.007
   Google Scholar
• Hastie T, Tibshirani R, Friedman J. 2009. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. New York (NY): Springer.
   Google Scholar
• Haykin SS. 2009. Neural networks and learning machines. New York (NY): Prentice Hall.
   Google Scholar
• Hill T, Lewicki P. 2006. Statistics: methods and applications. Tulsa (OK): StatSoft Inc.
   Google Scholar
• Hokkanen A-H, Hänninen L, Tiusanen J, Pastell M. 2011. Predicting sleep and lying time of calves with a support vector machine classifier using accelerometer data. Appl Anim Behav Sci. 134:10–15. 10.1016/j.applanim.2011.06.016
   Web of Science ®Google Scholar
• Hsu C-W, Chang C-C, Lin C-J. 2003. A practical guide to support vector classification [Internet]. [revised 2010 Apr 15; cited 2014 Jan 18]. Available from: https://www.cs.sfu.ca/people/Faculty/teaching/726/spring11/svmguide.pdf
   Google Scholar
• Ivakhnenko AG, Yurachkovskii YP. 1987. Modelirovanie slozhnykh sistem po eksperimental'nym dannym. Moscow: Radio i svjaz.
   Google Scholar
• Johanson JM, Berger PJ. 2003. Birth weight as a predictor of calving ease and perinatal mortality in Holstein cattle. J Dairy Sci. 86:3745–3755. 10.3168/jds.S0022-0302(03)73981-2
   PubMed Web of Science ®Google Scholar
• Kim E-S, Shi X, Cobanoglu O, Weigel K, Berger PJ, Kirkpatrick BW. 2009. Refined mapping of twinning-rate quantitative trait loci on bovine chromosome 5 and analysis of insulin-like growth factor-1 as a positional candidate gene. J Anim Sci. 87:835–843. 10.2527/jas.2008-1252
   PubMed Web of Science ®Google Scholar
• Kimmins S, Lim HC, Parent J, Fortier MA, MacLaren LA. 2003. The effects of estrogen and progesterone on prostaglandins and integrin beta 3 subunit expression in primary cultures of bovine endometrial cells. Domest Anim Endocrinol. 25:141–154. 10.1016/S0739-7240(03)00015-8
   PubMed Web of Science ®Google Scholar
• King BD, Cohen RDH, McCormac S, Guenther CL. 1993. Maternal factors and the prediction of dystocia in beef heifers. Can J Anim Sci. 73:431–435. 10.4141/cjas93-045
   Web of Science ®Google Scholar
• Kolkman I. 2010. Calving problems and calving ability in the phenotypically double muscled Belgian Blue breed [ dissertation]. Merelbeke: Ghent University.
   Google Scholar
• Koronacki J, Ćwik J. 2005. Statistical learning systems. Warsaw: WNT.
   Google Scholar
• Kowalewska-Łuczak I. 2010. Polymorphism of the CYP19 gene and milk production traits of dairy cattle. Turk J Vet Anim Sci. 34:493–496.
   Web of Science ®Google Scholar
• Lorenz I, Mee JF, Early B, More SJ. 2011. Calf health from birth to weaning. I. General aspects of disease prevention. Ir Vet J. 64:10. 10.1016/j.applanim.2007.01.015
   PubMed Web of Science ®Google Scholar
• Macciotta NPP, Dimauro C, Null DJ, Gaspa G, Cellesi M, Cole JB. 2014. Dissection of genomic correlation matrices of US Holsteins using multivariate factor analysis. J Anim Breed Genet. 10.1111/jbg.12113/full
   PubMed Web of Science ®Google Scholar
• Magee DA, Sikora KM, Berkowicz EW, Berry DP, Howard DJ, Mullen MP, Evans RD, Spillane C, MacHugh DE. 2010. DNA sequence polymorphisms in a panel of eight candidate bovine imprinted genes and their association with performance traits in Irish Holstein-Friesian cattle. BMC Genet. 11:93. 10.1186/1471-2156-11-93
   PubMed Web of Science ®Google Scholar
• Maltecca C, Gray KA, Weigel KA, Cassady JP, Ashwell M. 2011. A genome-wide association study of direct gestation length in US Holstein and Italian Brown populations. Anim Genet. 42:585–591. 10.1111/j.1365-2052.2011.02188.x
   PubMed Web of Science ®Google Scholar
• Martiskainen P, Järvinen M, Skön J-P, Tiirikainen J, Kolehmainen M, Mononen J. 2009. Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines. Appl Anim Behav Sci. 119:32–38. 10.1016/j.applanim.2009.03.005
   Web of Science ®Google Scholar
• Mee JF. 2004. Managing the dairy cow at calving time. Vet ClinNorth Am Food Anim Pract. 20:521–546. 10.1016/j.cvfa.2004.06.001
   PubMed Web of Science ®Google Scholar
• Mee JF. 2008. Prevalence and risk factors for dystocia in dairy cattle: a review. Vet J. 176:93–101. 10.1016/j.tvjl.2007.12.032
   PubMed Web of Science ®Google Scholar
• Mee JF, Berry DP, Cromie AR. 2011. Risk factors for calving assistance and dystocia in pasture-based Holstein–Friesian heifers and cows in Ireland. Vet J. 187:189–194. 10.1016/j.tvjl.2009.11.018
   PubMed Web of Science ®Google Scholar
• Meyer CL, Berger PJ, Koehler KJ, Thompson JR, Sattler CG. 2001. Phenotypic trends in incidence of stillbirth for Holsteins in the United States. J Dairy Sci. 84:515–523. 10.3168/jds.S0022-0302(01)74502-X
   PubMed Web of Science ®Google Scholar
• Miekley B, Traulsen I, Krieter J. 2013. Mastitis detection in dairy cows: the application of support vector machines. J Agric Sci. 151:1–9. 10.1017/S0021859613000178
   Web of Science ®Google Scholar
• Morrison DG, Humes PE, Keith NK, Godke RA. 1985a. Discriminant analysis for predicting dystocia in beef cattle. I. Comparison with regression analysis. J Anim Sci. 60:608–616.
   PubMed Web of Science ®Google Scholar
• Morrison DG, Humes PE, Keith NK, Godke RA. 1985b. Discriminant analysis for predicting dystocia in beef cattle. II. Derivation and validation of a prebreeding prediction model. J Anim Sci. 60:617.
   PubMed Web of Science ®Google Scholar
• Nebbia C, Urbani A, Carletti M, Gardini G, Balbo A, Bertarelli D, Girolami F. 2011. Novel strategies for tracing the exposure of meat cattle to illegal growth-promoters. Vet J. 189:34–42. 10.1016/j.tvjl.2010.06.016
   PubMed Web of Science ®Google Scholar
• Nisbet R, Elder J, Miner G. 2009. Handbook of statistical analysis and data mining applications. Amsterdam; Boston (MA): Academic Press.
   Google Scholar
• Nogalski Z, Piwczynski D. 2012. 3 Association of length of pregnancy with other reproductive traits in dairy cattle. Asian Australas J Anim Sci. 25:22. 10.5713/ajas.2011.11084
   Web of Science ®Google Scholar
• Norman HD, Wright JR, Miller RH. 2011. Potential consequences of selection to change gestation length on performance of Holstein cows. J Dairy Sci. 94:1005–1010. 10.3168/jds.2010-3732
   PubMed Web of Science ®Google Scholar
• Olsen HG, Hayes BJ, Kent MP, Nome T, Svendsen M, Lien S. 2010. A genome wide association study for QTL affecting direct and maternal effects of stillbirth and dystocia in cattle. Anim Genet. 41:273–280. 10.1111/j.1365-2052.2009.01998.x
   PubMed Web of Science ®Google Scholar
• Pausch H, Flisikowski K, Jung S, Emmerling R, Edel C, Götz K-U, Fries R. 2011. Genome-wide association study identifies two major loci affecting calving ease and growth-related traits in cattle. Genetics. 187:289–297. 10.1534/genetics.110.124057
   PubMed Web of Science ®Google Scholar
• Pietersma D, Lacroix R, Lefebvre D, Wade KM. 2002. Decision-tree induction to interpret lactation curves. Can Biosyst Eng. 44:7.1–7.13.
   Google Scholar
• Pietersma D, Lacroix R, Lefebvre D, Wade KM. 2003. Induction and evaluation of decision trees for lactation curve analysis. Comput Electron Agric. 38:19–32.
   Web of Science ®Google Scholar
• Piwczyński D, Nogalski Z, Sitkowska B. 2013. Statistical modeling of calving ease and stillbirths in dairy cattle using the classification tree technique. Livest Sci. 154:19–27. 10.1016/j.livsci.2013.02.013
   Web of Science ®Google Scholar
• Piwczyński D, Sitkowska B. 2012. Statistical modelling of somatic cell counts using the classification tree technique. Archiv Tierzucht. 55:332–345.
   Google Scholar
• Piwczyński D, Sitkowska B, Wiśniewska E. 2012. Application of classification trees and logistic regression to determine factors responsible for lamb mortality. Small Ruminant Res. 103:225–231. 10.1016/j.smallrumres.2011.09.014
   Web of Science ®Google Scholar
• Purfield DC, Bradley DG, Kearney JF, Berry DP. 2014. Genome-wide association study for calving traits in Holstein-Friesian dairy cattle. Animal. 8:224–235. 10.1017/S175173111300195X
   PubMed Web of Science ®Google Scholar
• Purohit GN, Barolia Y, Shekher C, Kumar P. 2011. Maternal dystocia in cows and buffaloes: a review. Open J Anim Sci. 1:41–53. 10.4236/ojas.2011.12006
   Google Scholar
• Rodero E, Gonzalez A, Luque M, Herrera M, Gutierrez-Estrada JC. 2012. Classification of Spanish autochthonous bovine breeds. Morphometric study using classical and heuristic techniques. Livest Sci. 143:226–232. 10.1016/j.livsci.2011.09.022
   Web of Science ®Google Scholar
• Schröder UJ, Staufenbiel R. 2006. Invited review: methods to determine body fat reserves in the dairy cow with special regard to ultrasonographic measurement of backfat thickness. J Dairy Sci. 89:1–14.
   PubMed Web of Science ®Google Scholar
• Schuenemann GM, Nieto I, Bas S, Galvão KN, Workman J. 2011. Assessment of calving progress and reference times for obstetric intervention during dystocia in Holstein dairy cows. J Dairy Sci. 94:5494–5501. 10.3168/jds.2011-4436
   PubMed Web of Science ®Google Scholar
• Seidenspinner T, Tetens J, Habier D, Bennewitz J, Thaller G. 2011. The placental growth factor (PGF)-A positional and functional candidate gene influencing calving ease and stillbirth in German dairy cattle. Anim Genet. 42:22–27. 10.1111/j.1365-2052.2010.02073.x
   PubMed Web of Science ®Google Scholar
• Sikora KM, Magee DA, Berkowicz EW, Berry DP, Howard DJ, Mullen MP, Evans RD, MacHugh DE, Spillane C. 2011. DNA sequence polymorphisms within the bovine guanine nucleotide-binding protein Gs subunit alpha (Gsα)-encoding (GNAS) genomic imprinting domain are associated with performance traits. BMC Genet. 12:4. 10.1186/1471-2156-12-4
   PubMed Web of Science ®Google Scholar
• Sokal RR, Rohlf FJ. 1995. Biometry. 3rd ed. New York (NY): W. H. Freeman & Co.
   Google Scholar
• Stanisz A. 2007. Handbook of statistical analysis in medicine using Statistica PL software: linear and nonlinear models. Cracow: StatSoft.
   Google Scholar
• StatSoft, Inc. 2013. Electronic statistics textbook [Internet]. Tulsa: StatSoft Inc.; [revised 2013 Jan 1; cited 2014 Jan 20]. Available from: http://www.statsoft.com/textbook/
   Google Scholar
• Sugimoto M, Watanabe T, Sugimoto Y. 2012. The molecular effects of a polymorphism in the 5′UTR of solute carrier family 44, member 5 that is associated with birth weight in Holsteins. PLoS One. 7:e41267. 10.1371/journal.pone.0041267.s003
   Google Scholar
• Szreder T, Oprzadek J, Zelazowska B, Dymnicki E, Zwierzchowski L. 2011. Polymorphism A/C in exon 7 of the bovine estrogen receptor alpha(ER alpha) gene and its association with functional and milk production traits in Red-and-White cattle. Anim Sci Pap Rep. 29:281–291.
   Web of Science ®Google Scholar
• Szreder T, Zelazowska B, Zwierzchowski L, Pareek CS. 2007. A novel nucleotide sequence polymorphism in the 5′-noncoding region of bovine estrogen receptor α gene, the RFLP-SnaBI. Biochem Genet. 45:255–262. 10.1007/s10528-006-9072-8
   PubMed Web of Science ®Google Scholar
• Szreder T, Zwierzchowski L. 2004. Polymorphism within the bovine estrogen receptor-alpha gene 5′-region. J Appl Genet. 45:225–236.
   PubMedGoogle Scholar
• Vanselow J, Kühn C, Fürbaß R, Schwerin M. 1999. Three PCR/RFLPs identified in the promoter region 1.1 of the bovine aromatase gene (CYP19). Anim Genet. 30:225–244.
   PubMed Web of Science ®Google Scholar
• Wickramasinghe S, Rincon G, Medrano JF. 2011. Variants in the pregnancy-associated plasma protein-A2 gene on Bos taurus autosome 16 are associated with daughter calving ease and productive life in Holstein cattle. J Dairy Sci. 94:1552–1558. 10.3168/jds.2010-3237
   PubMed Web of Science ®Google Scholar
• Witten IH, Frank E, Hall MA. 2011. Data mining: practical machine learning tools and techniques. Burlington (MA): Morgan Kaufmann.
   Google Scholar
• Zaborski D. 2010. Detection of difficult calvings in dairy cows using neural classifier [ dissertation]. Szczecin: ZUT.
   Google Scholar
• Zaborski D, Grzesiak W. 2011. Detection of heifers with dystocia using artificial neural networks with regard to ERα-BglI, ERα-SnaBI and CYP19-PvuII genotypes. Acta Scientiarum Polonorum Zootechnica. 10:105–116.
   Google Scholar