1932

Abstract

Evolutionary biology provides reasons for why the intensive selection for milk production reduces reproductive success rates. There is considerable exploitable genetic variation in reproductive performance in both dairy and beef cattle, and examination of national genetic trends demonstrates that genetic gain for both reproductive performance and milk production is possible in a well-structured breeding program. Reproductive failure is often postulated to be a consequence of the greater negative energy balance associated with the genetic selection for increased milk production. However, experimental results indicate that the majority of the decline in reproductive performance cannot be attributed to early lactation energy balance, per se; reproductive success will, therefore, not be greatly improved by nutritional interventions aimed at reducing the extent of negative energy balance. Modeling can aid in better pinpointing the key physiological components governing reproductive success and, also, the impact of individual improvements on overall fertility, helping to prioritize variables for inclusion in breeding programs.

Keyword(s): beefdairygeneticsnutritionreproduction
Loading

Article metrics loading...

/content/journals/10.1146/annurev-animal-021815-111406
2016-02-15
2024-04-23
Loading full text...

Full text loading...

/deliver/fulltext/animal/4/1/annurev-animal-021815-111406.html?itemId=/content/journals/10.1146/annurev-animal-021815-111406&mimeType=html&fmt=ahah

Literature Cited

  1. Knight CH. 1.  2001. Lactation and gestation in dairy cows: Flexibility avoids nutritional extremes. Proc. Nutr. Soc. 60:527–37 [Google Scholar]
  2. Stearns SC. 2.  1992. The Evolution of Life Histories Oxford: Oxford Univ. Press
  3. Friggens NC, Disenhaus C, Petit HV. 3.  2010. Nutritional sub-fertility in the dairy cow: towards improved reproductive management through a better biological understanding. Animal 4:1197–213 [Google Scholar]
  4. Reznick D, Nunney L, Tessier A. 4.  2000. Big houses, big cars, superfleas and the costs of reproduction. Trends Ecol. Evol. 15:421–25 [Google Scholar]
  5. Douhard F, Friggens NC, Amer PR, Tichit M. 5.  2014. Synergy between selection for production and longevity and the use of extended lactation: insights from a resource allocation model in a dairy goat herd. J. Anim. Sci. 92:5251–66 [Google Scholar]
  6. Strandberg E. 6.  2009. The role of environmental sensitivity and plasticity in breeding for robustness: lessons from evolutionary genetics. Breeding for Robustness M Klopèiè, R Reents, J Philipsson, A Kuipers 12617–34 Wageningen, Neth.: Wagening. Acad. Publ. [Google Scholar]
  7. Berry DP, Evans RD, McParland S. 7.  2011. Evaluation of bull fertility in dairy and beef cattle using cow field data. Theriogenology 75:172–81 [Google Scholar]
  8. Petersson KJ, Berglund B, Strandberg E, Gustafsson H, Flint APF. 8.  et al. 2007. Genetic analysis of postpartum measures of luteal activity in dairy cows. J. Dairy Sci. 90:427–34 [Google Scholar]
  9. Thatcher WW, Wilcox CJ. 9.  1973. Postpartum estrus as an indicator of reproductive status in the dairy cow. J. Dairy Sci. 56:608–10 [Google Scholar]
  10. Butler WR. 10.  2000. Nutritional interactions with reproductive performance in dairy cattle. Anim. Reprod. Sci. 60–61:449–57 [Google Scholar]
  11. Lamming GE, Wathes DC, Peters AR. 11.  1981. Endocrine patterns of the post-partum cow. J. Reprod. Fertil. Suppl. 30:155–70 [Google Scholar]
  12. Crowe MA, Diskin MG, Williams EJ. 12.  2014. Parturition to resumption of ovarian cyclicity: comparative aspects of beef and dairy cows. Animal 8:40–53 [Google Scholar]
  13. Wright IA, Rhind SM, Whyte TK, Smith AJ, McMillen SR, Prado R. 13.  1990. Circulating concentrations of LH and FSH and pituitary responsiveness to GnRH in intact and ovariectomized suckled beef cows in two levels of body condition. Anim. Prod. 51:93–101 [Google Scholar]
  14. Beam SW, Butler WR. 14.  1998. Energy balance, metabolic hormones, and early postpartum follicular development in dairy cows fed prilled lipid. J. Dairy Sci. 81:121–31 [Google Scholar]
  15. Wiltbank MC, Sartori R, Herlihy MM, Vasconcelos JL, Nascimento AB. 15.  et al. 2011. Managing the dominant follicle in lactating dairy cows. Theriogenology 76:1568–82 [Google Scholar]
  16. Butler WR, Everett RW, Coppock CE. 16.  1981. The relationships between energy balance, milk production and ovulation in postpartum Holstein cows. J. Anim. Sci. 53:742–48 [Google Scholar]
  17. Rukkwamsuk T, Kruip TA, Wensing T. 17.  1999. Relationship between overfeeding and overconditioning in the dry period and the problems of high producing dairy cows during the postparturient period. Vet. Q. 21:71–77 [Google Scholar]
  18. Rhodes FM, McDougall S, Burke CR, Verkerk GA, Macmillan KL. 18.  2003. Invited review: treatment of cows with an extended postpartum anestrous interval. J. Dairy Sci. 86:1876–94 [Google Scholar]
  19. Day ML. 19.  2004. Hormonal induction of estrous cycles in anestrous Bos taurus beef cows. Anim. Reprod. Sci. 82–83:487–94 [Google Scholar]
  20. Lucy MC. 20.  2011. Growth hormone regulation of follicular growth. Reprod. Fertil. Dev. 24:19–28 [Google Scholar]
  21. Lucy MC, Escalante RC, Keisler DH, Lamberson WR, Mathew DJ. 21.  2013. Short communication: Glucose infusion into early postpartum cows defines an upper physiological set point for blood glucose and causes rapid and reversible changes in blood hormones and metabolites. J. Dairy Sci. 96:5762–68 [Google Scholar]
  22. Lucy MC, Butler ST, Garverick HA. 22.  2014. Endocrine and metabolic mechanisms linking postpartum glucose with early embryonic and foetal development in dairy cows. Animal 8:Suppl. 182–90 [Google Scholar]
  23. Butler ST, Marr AL, Pelton SH, Radcliff RP, Lucy MC, Butler WR. 23.  2003. Insulin restores GH responsiveness during lactation-induced negative energy balance in dairy cattle: effects on expression of IGF-I and GH receptor 1A. J. Endocrinol. 176:205–17 [Google Scholar]
  24. Dumesic DA, Richards JS. 24.  2013. Ontogeny of the ovary in polycystic ovary syndrome. Fertil. Steril. 100:23–38 [Google Scholar]
  25. Chagas LM, Bass JJ, Blache D, Burke CR, Kay JK. 25.  et al. 2007. Invited review: new perspectives on the roles of nutrition and metabolic priorities in the subfertility of high-producing dairy cows. J. Dairy Sci. 90:4022–32 [Google Scholar]
  26. Diskin MG, Mackey DR, Roche JF, Sreenan JM. 26.  2003. Effects of nutrition and metabolic status on circulating hormones and ovarian follicle development in cattle. Anim. Reprod. Sci. 78:345–70 [Google Scholar]
  27. Lopez H, Sartori R, Wiltbank MC. 27.  2005. Reproductive hormones and follicular growth during development of one or multiple dominant follicles in cattle. Biol. Reprod. 72:788–95 [Google Scholar]
  28. Evans AC, Walsh SW. 28.  2011. The physiology of multifactorial problems limiting the establishment of pregnancy in dairy cattle. Reprod. Fertil. Dev. 24:233–37 [Google Scholar]
  29. Thatcher WW, Moreira F, Pancarci SM, Bartolome JA, Santos JE. 29.  2002. Strategies to optimize reproductive efficiency by regulation of ovarian function. Domest. Anim. Endocrinol. 23:243–54 [Google Scholar]
  30. Vailes LD, Britt JH. 30.  1990. Influence of footing surface on mounting and other sexual behaviors of estrual Holstein cows. J. Anim. Sci. 68:2333–39 [Google Scholar]
  31. Wiltbank MC, Pursley JR. 31.  2014. The cow as an induced ovulator: timed AI after synchronization of ovulation. Theriogenology 81:170–85 [Google Scholar]
  32. Lucy MC. 32.  2007. Fertility in high-producing dairy cows: reasons for decline and corrective strategies for sustainable improvement. Soc. Reprod. Fertil. Suppl. 64:237–54 [Google Scholar]
  33. McNeill RE, Diskin MG, Sreenan JM, Morris DG. 33.  2006. Associations between milk progesterone concentration on different days and with embryo survival during the early luteal phase in dairy cows. Theriogenology 65:1435–41 [Google Scholar]
  34. Bridges GA, Day ML, Geary TW, Cruppe LH. 34.  2013. Triennial Reproduction Symposium: deficiencies in the uterine environment and failure to support embryonic development. J. Anim. Sci. 91:3002–13 [Google Scholar]
  35. Dorniak P, Bazer FW, Spencer TE. 35.  2013. Physiology and Endocrinology Symposium: biological role of interferon tau in endometrial function and conceptus elongation. J. Anim. Sci. 91:1627–38 [Google Scholar]
  36. Wiltbank MC, Lopez H, Sartori R, Sangsritavong S, Gumen A. 36.  2006. Changes in reproductive physiology of lactating dairy cows due to elevated steroid metabolism. Theriogenology 65:17–29 [Google Scholar]
  37. Green JC, Meyer JP, Williams AM, Newsom EM, Keisler DH, Lucy MC. 37.  2012. Pregnancy development from day 28 to 42 of gestation in postpartum Holstein cows that were either milked (lactating) or not milked (not lactating) after calving. Reproduction 143:699–711 [Google Scholar]
  38. Santos JE, Thatcher WW, Chebel RC, Cerri RL, Galvão KN. 38.  2004. The effect of embryonic death rates in cattle on the efficacy of estrus synchronization programs. Anim. Reprod. Sci. 82–83:513–35 [Google Scholar]
  39. Berry DP, Wall E, Pryce JE. 39.  2014. Genetics and genomics of reproductive performances in dairy and beef cattle. Animal 8:105–21 [Google Scholar]
  40. Berry DP, Buckley F, Dillon PG, Evans RD, Rath M, Veerkamp RF. 40.  2003. Genetic relationships among body condition score, body weight, milk yield and fertility in dairy cows. J. Dairy Sci. 86:2193–204 [Google Scholar]
  41. McHugh N, Evans RD, Amer PR, Fahey AG, Berry DP. 41.  2011. Genetic parameters for cattle price and body weight from routinely collected data at livestock auctions and commercial farms. J. Anim. Sci. 89:29–39 [Google Scholar]
  42. Berry DP. 42.  2008. Genetics—a tool to improve productivity and profitability. Int. J. Dairy Technol. 61:30–35 [Google Scholar]
  43. Berry DP, Evans RD. 43.  2014. Genetics of reproductive performance in seasonal calving beef cows and its association with performance traits. J. Anim. Sci. 92:1412–22 [Google Scholar]
  44. Visscher PM, Woolliams JA, Smith D, Williams JL. 44.  2002. Estimation of pedigree errors in the UK dairy population using microsatellite markers and the impact on selection. J. Dairy Sci. 85:2368–75 [Google Scholar]
  45. Royal MD, Flint APF, Woolliams JA. 45.  2002. Genetic and phenotypic relationships among endocrine and traditional fertility traits and production traits in Holstein-Friesian dairy cows. J. Dairy Sci. 85:958–67 [Google Scholar]
  46. Berry DP, Bastiaansen JWM, Veerkamp RF, Wijga S, Wall E. 46.  et al. 2012. Genome-wide associations for fertility traits in Holstein-Friesian dairy cows using data from experimental research herds in four European countries. Animal 6:1206–15 [Google Scholar]
  47. Rendel J, Robertson A. 47.  1950. Estimation of genetic gain in milk yield by selection in a closed herd of dairy cattle. J. Genet. 50:1–8 [Google Scholar]
  48. Meuwissen THE, Hayes BJ, Goddard ME. 48.  2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics 157:1819–29 [Google Scholar]
  49. Meuwissen THE, Hayes BJ, Goddard ME. 49.  2013. Accelerating improvement of livestock with genomic selection. Annu. Rev. Anim. Biosci. 1:221–37 [Google Scholar]
  50. Falconer DS, Mackay TFC. 50.  1996. Introduction to Quantitative Genetics Harlow, UK: Pearson Educ. Ltd, 4th ed..
  51. Berry DP, Kearney JF, Twomey K, Evans RD. 51.  2013. Genetics of reproductive performance in seasonal calving dairy cattle production systems. Ir. J. Agric. Food Res. 52:1–16 [Google Scholar]
  52. Liebig V. 52.  1840. Die Organische Chemie in Ihrer Anwen-Agrikultur und Physiologie. Braunschweig, Ger.: Verlag von Friedrich Vieweg und Sohn, 353.
  53. Roche JR, Burke CR, Meier S, Walker CG. 53.  2011. Nutrition × reproduction interaction in pasture-based systems: Is nutrition a factor in reproductive failure?. Anim. Prod. Sci. 51:1045–66 [Google Scholar]
  54. Diskin MG. 54.  2008. Reproductive management of dairy cows: a review (part I). Ir. Vet. J. 61:326–32 [Google Scholar]
  55. Lucy MC. 55.  2001. Reproductive loss in high-producing dairy cattle: Where will it end?. J. Dairy Sci. 84:1277–93 [Google Scholar]
  56. Roche JR, Berry DP, Kolver ES. 56.  2006. Holstein-Friesian strain and feed effects on milk production, body weight, and body condition score profiles in grazing dairy cows. J. Dairy Sci. 89:3532–43 [Google Scholar]
  57. Beam SW, Butler WR. 57.  1999. Effects of energy balance on follicular development and first ovulation in postpartum dairy cows. J. Reprod. Fertil. 54:411–24 [Google Scholar]
  58. Roche JR, Friggens NC, Kay JK, Fisher MW, Stafford KJ, Berry DP. 58.  2009. Invited review: body condition score and its association with dairy cow productivity, health, and welfare. J. Dairy Sci. 92:5769–801 [Google Scholar]
  59. Pryce JE, Coffey MP, Brotherstone SH, Woolliams JA. 59.  2002. Genetic relationships between calving interval and body condition score conditional on milk yield. J. Dairy Sci. 85:1590–95 [Google Scholar]
  60. Buckley F, O'Sullivan K, Mee JF, Evans RD, Dillon P. 60.  2003. Relationships among milk yield, body condition, cow weight, and reproduction in spring-calved Holstein-Friesians. J. Dairy Sci. 86:2308–19 [Google Scholar]
  61. Roche JR, Macdonald KA, Burke CR, Lee JM, Berry DP. 61.  2007. Associations among body condition score, body weight, and reproductive performance in seasonal-calving dairy cattle. J. Dairy Sci. 90:376–91 [Google Scholar]
  62. Patton J, Kenny DA, McNamara S, Mee JF, O'Mara FP. 62.  et al. 2007. Relationships among milk production, energy balance, plasma analytes, and reproduction in Holstein-Friesian cows. J. Dairy Sci. 90:649–58 [Google Scholar]
  63. Garnsworthy PC, Lock A, Mann GE, Sinclair KD, Webb R. 63.  2008. Nutrition, metabolism, and fertility in dairy cows: 1. Dietary energy source and ovarian function. J. Dairy Sci. 91:3814–23 [Google Scholar]
  64. Diskin MG, Mackey DR, Roche JF, Sreenan JM. 64.  2003. Effects of nutrition and metabolic status on circulating hormones and ovarian follicle development in cattle. Anim. Reprod. Sci. 78:345–70 [Google Scholar]
  65. Beam SW, Butler WR. 65.  1997. Energy balance and ovarian follicle development prior to the first ovulation postpartum in dairy cows receiving three levels of dietary fat. Biol. Reprod. 56:133–42 [Google Scholar]
  66. Sartori R, Sartor-Bergfelt R, Mertens SA, Guenther JN, Parrish JJ, Wiltbank MC. 66.  2002. Fertilization and early embryonic development in heifers and lactating cows in summer and lactating and dry cows in winter. J. Dairy Sci. 85:2803–12 [Google Scholar]
  67. Leroy J, Opsomer G, De Vliegher S, Vanholder T, Goossens L. 67.  et al. 2005. Comparison of embryo quality in high-yielding dairy cows, in dairy heifers and in beef cows. Theriogenology 64:2022–36 [Google Scholar]
  68. de Vries MJ, Veerkamp RF. 68.  2000. Energy balance of dairy cattle in relation to milk production variables and fertility. J. Dairy Sci. 83:62–69 [Google Scholar]
  69. Horan B, Mee JF, Rath M, O'Connor P, Dillon P. 69.  2004. The effect of strain of Holstein-Friesian cow and feeding system on reproductive performance in seasonal-calving milk production systems. Anim. Sci. 79:453–67 [Google Scholar]
  70. Macdonald KA, Verkerk GA, Thorrold BS, Pryce JE, Penno JW. 70.  et al. 2008. A comparison of three strains of Holstein-Friesian grazed on pasture and managed under different feed allowances. J. Dairy Sci. 91:1693–707 [Google Scholar]
  71. Burke CR, Williams YJ, Hofmann L, Kay JK, Phyn CV, Meier S. 71.  2010. Effects of an acute feed restriction at the onset of the seasonal breeding period on reproductive performance and milk production in pasture-grazed dairy cows. J. Dairy Sci. 93:1116–25 [Google Scholar]
  72. McCarthy S, Berry DP, Dillon P, Rath M, Horan B. 72.  2007. Influence of Holstein-Friesian strain and feed system on body weight and body condition score lactation profiles. J. Dairy Sci. 90:1859–69 [Google Scholar]
  73. McNamara JP, Hillers JK. 73.  1986. Regulation of bovine adipose tissue metabolism during lactation. 1. Lipid synthesis in response to increased milk production and decreased energy intake. J. Dairy Sci. 69:3032–41 [Google Scholar]
  74. McNamara JP, Hillers JK. 74.  1986. Regulation of bovine adipose tissue metabolism during lactation. 2. Lipolysis response to milk production and energy intake. J. Dairy Sci. 69:3042–50 [Google Scholar]
  75. Burke CR, Roche JR. 75.  2007. Effects of pasture feeding during the periparturient period on postpartum anovulation in grazed dairy cows. J. Dairy Sci. 90:4304–12 [Google Scholar]
  76. Fulkerson WJ, Wilkins J, Dobos RC, Hough GM, Goddard ME, Davison T. 76.  2001. Reproductive performance in Holstein-Friesian cows in relation to genetic merit and level of feeding when grazing pasture. Anim. Sci. 73:397–406 [Google Scholar]
  77. Kennedy J, Dillon P, Delaby L, Faverdin P, Stakelum G, Rath M. 77.  2003. Effect of genetic merit and concentrate supplementation on grass intake and milk production with Holstein Friesian dairy cows. J. Dairy Sci. 86:610–21 [Google Scholar]
  78. Kolver ES, Burke CR, Roche JR. 78.  2005. Genotype and feed effects on annual milk production and reproduction of grazing dairy cows. J. Dairy Sci. 88:93–94 [Google Scholar]
  79. Pedernera M, Garcia SC, Horagadoga A, Barchia I, Fulkerson WJ. 79.  2008. Energy balance and reproduction on dairy cows fed to achieve low or high milk production on a pasture-based system. J. Dairy Sci. 91:3896–907 [Google Scholar]
  80. Gong JG, Lee WJ, Garnsworthy PC, Webb R. 80.  2002. Effect of dietary-induced increases in circulating insulin concentrations during the early postpartum period on reproductive function in dairy cows. Reproduction 123:419–27 [Google Scholar]
  81. Garcia-Bojalil CM, Staples CR, Thatcher WW, Drost M. 81.  1994. Protein-intake and development of ovarian follicles and embryos of superovulated nonlactating dairy-cows. J. Dairy Sci. 77:2537–48 [Google Scholar]
  82. Jordan ER, Swanson LV. 82.  1979. Serum progesterone and luteinizing-hormone in dairy-cattle fed varying levels of crude protein. J. Anim. Sci. 48:1154–58 [Google Scholar]
  83. Ordóñez A, Parkinson TJ, Matthew C, Holmes CW, Miller RD. 83.  et al. 2007. Effects of application in spring of urea fertiliser on aspects of reproductive performance of pasture-fed dairy cows. N.Z. Vet. J. 55:69–76 [Google Scholar]
  84. Barton BA, Rosario HA, Anderson GW, Grindle BP, Carroll DJ. 84.  1996. Effects of dietary crude protein, breed, parity, and health status on the fertility of dairy cows. J. Dairy Sci. 79:2225–36 [Google Scholar]
  85. Westwood CT, Lean IJ, Kellaway RC. 85.  1998. Indications and implications for testing of milk urea in dairy cattle: a quantitative review. Part 2. Effect of dietary protein on reproductive performance. N.Z. Vet. J. 46:123–30 [Google Scholar]
  86. Ferguson JD, Blanchard T, Galligan DT, Hoshall DC, Chalupa W. 86.  1988. Infertility in dairy-cattle fed a high percentage of protein degradable in the rumen. J. Am. Vet. Med. Assoc. 192:659–62 [Google Scholar]
  87. Ferguson JD, Chalupa W. 87.  1989. Impact of protein nutrition on reproduction in dairy-cows. J. Dairy Sci. 72:746–66 [Google Scholar]
  88. Ferguson JD, Galligan DT, Blanchard T, Reeves M. 88.  1993. Serum urea nitrogen and conception rate—the usefulness of test information. J. Dairy Sci. 76:3742–46 [Google Scholar]
  89. Westwood CT, Lean IJ, Garvin JK, Wynn PC. 89.  2000. Effects of genetic merit and varying dietary protein degradability on lactating dairy cows. J. Dairy Sci. 83:2926–40 [Google Scholar]
  90. Arunvipas P, Leger ER, VanLeeuwen JE, Dohoo IR, Keefe GP. 90.  2003. The effect of nutrition and management factors and milk urea nitrogen levels on reproductive performance in Canadian dairy herds. Proc. 10th Symp. Int. Soc. Vet. Epidemiol. Econ., Vina del Mar, Chile, Nov.258–61
  91. Rajala-Schutz PJ, Saville WJA, Frazer GS, Wittum TE. 91.  2001. Association between milk urea nitrogen and fertility in Ohio dairy cows. J. Dairy Sci. 84:482–89 [Google Scholar]
  92. De Wit AA, Cesar ML, Kruip TA. 92.  2001. Effect of urea during in vitro maturation on nuclear maturation and embryo development of bovine cumulus-oocyte-complexes. J. Dairy Sci. 84:1800–4 [Google Scholar]
  93. Kenny DA, Boland MP, Diskin MG, Sreenan JM. 93.  2001. Effect of pasture crude protein and fermentable energy supplementation on blood metabolite and progesterone concentrations and on embryo survival in heifers. Anim. Sci. 73:501–11 [Google Scholar]
  94. Kenny DA, Boland MP, Diskin MG, Sreenan JM. 94.  2002. Effect of rumen degradable protein with or without fermentable carbohydrate supplementation on blood metabolites and embryo survival in cattle. Anim. Sci. 74:529–37 [Google Scholar]
  95. Lucy MC, Savio JD, Badinga L, Delasota RL, Thatcher WW. 95.  1992. Factors that affect ovarian follicular dynamics in cattle. J. Anim. Sci. 70:3615–26 [Google Scholar]
  96. Mattos R, Staples CR, Thatcher WW. 96.  2000. Effects of dietary fatty acids on reproduction in ruminants. Rev. Reprod. 5:38–45 [Google Scholar]
  97. Wathes DC, Abayasekara DRE, Aitken RJ. 97.  2007. Polyunsaturated fatty acids in male and female reproduction. Biol. Reprod. 77:190–201 [Google Scholar]
  98. Lucy MC, Staples CR, Michel FM, Thatcher WW, Bolt DJ. 98.  1991. Effect of feeding calcium soaps to early postpartum dairy cows on plasma prostaglandin F, luteinizing hormone, and follicular growth. J. Dairy Sci. 74:483–89 [Google Scholar]
  99. Lucy MC, Delasota RL, Staples CR, Thatcher WW. 99.  1993. Ovarian follicular populations in lactating dairy cows treated with recombinant bovine somatotropin (sometribove) or saline and fed diets differing in fat-content and energy. J. Dairy Sci. 76:1014–27 [Google Scholar]
  100. Cutullic E, Delaby L, Michel G, Disenhaus C. 100.  2009. Consequence on reproduction of two feeding levels with opposite effects on milk yield and body condition loss in Holstein and Normande cows. J. Dairy Sci. 92:E-suppl. 1355 [Google Scholar]
  101. Giordano JO, Fricke PM, Wiltbank MC, Cabrera VE. 101.  2011. An economic decision-making support system for selection of reproductive management programs on dairy farms. J. Dairy Sci. 94:6216–32 [Google Scholar]
  102. McDougall S, Heuer C, Morton J, Brownlie T. 102.  2014. Use of herd management programmes to improve the reproductive performance of dairy cattle. Animal 8:199–210 [Google Scholar]
  103. Blanc F, Martin GB, Bocquier F. 103.  2001. Modelling reproduction in farm animals: a review. Reprod. Fertil. Dev. 13:337–53 [Google Scholar]
  104. Vetharaniam I, Peterson AJ, McNatty KP, Soboleva TK. 104.  2011. Modelling female reproductive function in farmed animals. Anim. Reprod. Sci. 122:164–73 [Google Scholar]
  105. Zeeman ML, Weckesser W, Gokhman D. 105.  2003. Resonance in the menstrual cycle: a new model of the LH surge. Reprod. Biomed. Online 7:295–300 [Google Scholar]
  106. Echenim N, Monniaux D, Sorine M, Clement F. 106.  2005. Multi-scale modeling of the follicle selection process in the ovary. Math. Biosci. 198:57–79 [Google Scholar]
  107. Boer HMT, Apri M, Molenaar J, Stötzel C, Veerkamp RF, Woelders H. 107.  2012. Candidate mechanisms underlying atypical progesterone profiles as deduced from parameter perturbations in a mathematical model of the bovine estrous cycle. J. Dairy Sci. 95:3837–51 [Google Scholar]
  108. Stötzel C, Plöntzke J, Heuwieser W, Röblitz S. 108.  2012. Advances in modelling the bovine oestrus cycle: synchronization with PGF2α. Theriogenology 78:1415–28 [Google Scholar]
  109. Friggens NC, Bjerring M, Ridder C, Højsgaard S, Larsen T. 109.  2008. Improved detection of reproductive status in dairy cows using milk progesterone profiles. Reprod. Domest. Anim. 43:113–21 [Google Scholar]
  110. Friggens NC, Chagunda MGG. 110.  2005. Prediction of the reproductive status of cattle on the basis of milk progesterone measures: model description. Theriogenology 64:155–90 [Google Scholar]
  111. Lamming GE, Darwash AO. 111.  1998. The use of milk progesterone profiles to characterise components of subfertility in milked dairy cows. Anim. Reprod. Sci. 52:175–90 [Google Scholar]
  112. Meier S, Roche JR, Kolver ES, Boston RC. 112.  2009. A compartmental model describing changes in progesterone concentrations during the oestrous cycle. J. Dairy Res. 76:249–56 [Google Scholar]
  113. Gorzecka J, Codrea MC, Friggens NC, Callesen H. 113.  2011. Progesterone profiles around the time of insemination do not show clear differences between pregnant and not pregnant cows. Anim. Reprod. Sci. 123:14–22 [Google Scholar]
  114. O'Connell J, Tøgersen FA, Friggens NC, Løvendahl P, Højsgaard S. 114.  2011. Combining cattle activity and progesterone measurements using hidden semi-Markov models. J. Agric. Biol. Environ. Stat. 16:1–16 [Google Scholar]
  115. Gorzecka J, Callesen H, Pedersen KM, Friggens NC. 115.  2011. The relationship between postpartum vaginal discharge symptoms and progesterone profile characteristics in lactating dairy cows in Denmark. Theriogenology 75:1016–28 [Google Scholar]
  116. Martin O, Friggens NC, Dupont J, Salvetti P, Freret S. 116.  et al. 2013. Data-derived reference profiles with corepresentation of progesterone, estradiol, LH, and FSH dynamics during the bovine oestrus cycle. Theriogenology 79:331–43 [Google Scholar]
  117. Royal MD, Darwash AO, Flint APF, Webb R, Woolliams JA, Lamming GE. 117.  2000. Declining fertility in dairy cattle: changes in traditional and endocrine parameters of fertility. Anim. Sci. 70:487–501 [Google Scholar]
  118. Blanc F, Agabriel J. 118.  2008. Modelling the reproductive efficiency in a beef cow herd: effect of calving date, bull exposure and body condition at calving on the calving-conception interval and calving distribution. J. Agric. Sci. 146:143–61 [Google Scholar]
  119. Visscher PM, Brown MA, McCarthy MI, Yang J. 119.  2012. Five years of GWAS discovery. Am. J. Hum. Genet. 13:7–24 [Google Scholar]
  120. Jansen RC, Nap JP. 120.  2001. Genetical genomics: the added value from segregation. Trends Genet 17:388–91 [Google Scholar]
  121. Kadri NK, Sahana G, Charlier C, Iso-Touru T, Guldbrandtsen B. 121.  et al. 2014. A 660-Kb deletion with antagonistic effects on fertility and milk production segregates at high frequency in Nordic red cattle: additional evidence for the common occurrence of balancing selection in livestock. PLOS Genet 10:e1004049 [Google Scholar]
  122. Joung JK, Sander JD. 122.  2013. TALENs: a widely applicable technology for targeted genome editing. Nat. Rev. Mol. Cell Biol. 14:49–55 [Google Scholar]
  123. Hamburg MA, Collins FS. 123.  2010. The path to personalized medicine. N. Engl. J. Med. 363:301–4 [Google Scholar]
  124. Philips CM. 124.  2013. Nutrigenetics and metabolic disease: current status and implications for personalised nutrition. Nutrients 5:32–57 [Google Scholar]
  125. Antoniou A, Pharoah PDP, Narod S, Risch HA, Eyfjord JE. 125.  et al. 2003. Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case series unselected for family history: a combined analysis of 22 studies. Am. J. Hum. Genet. 72:1117–30 [Google Scholar]
  126. Hempstalk K, McParland S, Berry DP. 126.  2015. Machine learning algorithms for the prediction of conception success to a given insemination in lactating dairy cows. J. Dairy Sci. 98:5262–73 [Google Scholar]
  127. Wray NR, Yang J, Goddard ME, Visscher PM. 127.  2010. The genetic interpretation of area under the ROC curve in genomic profiling. PLOS Genet. 6:e1000864 [Google Scholar]
  128. Carthy TR, Ryan DP, Fitzgerald AM, Evans RD, Berry DP. 128.  2015. Genetic parameters of ovarian and uterine reproductive traits in dairy cows. J. Dairy Sci. 98:4095–106 [Google Scholar]
  129. Friggens NC, Labouriau R. 129.  2010. Probability of pregnancy as affected by oestrus number and days to first oestrus in dairy cows of three different breeds and parities. Anim. Reprod. Sci 118:155–62 [Google Scholar]
  130. Friggens NC, Løvendahl P. 130.  2008. The potential of on-farm fertility profiles: in-line progesterone and activity measurements. Fertility in Dairy Cows: Bridging the Gaps MD Royal, NC Friggens, RF Smith 72–78 Cambridge, UK: Cambridge Univ. Press [Google Scholar]
  131. Cutullic E, Delaby L, Gallard Y, Disenhaus C. 131.  2012. Towards a better understanding of the respective effects of milk yield and body reserve dynamics on reproduction in Holstein dairy cows. Animal 6:476–87 [Google Scholar]
  132. Aungier SFM, Roche JF, Duffy P, Scully S, Crowe MA. 132.  2015. The relationship between activity clusters detected by an automatic monitor and endocrine changes during the periestrous period in lactating dairy cows. J. Dairy Sci. 98:1666–84 [Google Scholar]
  133. Thorup VM, Edwards D, Friggens NC. 133.  2012. On-farm estimation of energy balance in dairy cows using only frequent body weight measurements and body condition score. J. Dairy Sci. 95:1784–93 [Google Scholar]
  134. Thorup VM, Højsgaard S, Weisberg MR, Friggens NC. 134.  2013. Energy balance of individual cows can be estimated in real-time on-farm using frequent liveweight measures even in the absence of body condition score. Animal 7:1631–39 [Google Scholar]
/content/journals/10.1146/annurev-animal-021815-111406
Loading
/content/journals/10.1146/annurev-animal-021815-111406
Loading

Data & Media loading...

  • Article Type: Review Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error