Advances in dairy Research

Advances in dairy Research
Open Access

ISSN: 2329-888X

+44 1300 500008

Review Article - (2014) Volume 2, Issue 3

Longevity in Dairy Cattle

Fernanda De Mello*, Kern EL and Bretas A
Federal University of Rio Grande do Sul, Department of Animal Science, Faculty of Agronomy, Brazil
*Corresponding Author: Fernanda De Mello, Federal University of Rio Grande do Sul, Department of Animal Sciences, Faculty of Agronomy, Brazil, Tel: +55 51 33086048 Email:

Abstract

Longevity of productive life in dairy cattle is a characteristic difficult to evaluate. This measurement is complicated, in part, because the phenotype is expressed late in the life of the animal, but also because the methods of evaluation are complex. The molecular bases of longevity are still far from being fully understood, although some genes begin to be associated with this characteristic. In this short communication will be discussed the criteria for selection in dairy cattle and to report some studies evaluate the molecular bases of longevity; your progress and current perspectives of selection by genic information.

Keywords: Molecular bases, Productive life, Selection, Type traits

Introduction

The genetic improvement programs of dairy cattle have selection criteria different to achieve the end goal of increasing production of milk with a lower cost of herd maintenance. One of point to be considered by milk producers is to set up heifers and cows healthy, fertile at the appropriate age, able to express their maximum genetic potential for a long productive period [1]. However, one challenge still present in dairy cattle is the short productive life of animals, called longevity. Longevity is not a trait easily measured due the delayed recording of phenotypic data, which would increase the generation interval [2,3].

Reduction of calving number generates a reduction of cow permanence time in the herd, influencing directly on profitability of dairy production [4]. A short productive life limits the selection opportunities on futures dam, cause high economic losses, besides being related to animal welfare [1]. Considering the importance of dairy business on a global stage is essential identify not the most productive animals only, but animals which combine best production, reproduction, longevity and conformation, resulting in animals that contribute to the increased profitability of the production system in general.

During the last decades, several statistical methods for survival analyses have been proposed, such as the proportional hazard model [5]. This procedure has been broadly implemented in several countries to predict breeding values for longevity [2,6].

Selection for Longevity

Direct selection

A longer the permanence of cows in the herd implies at a lesser number of heifers for replacement. Replacement of cows by heifers may be because to involuntary factors of production, such as problems related to udder ligaments, angulation, diseases, infertility and low speed of milking.

Dispose based on low production of milk is called voluntary disposal and discharges determined by other factors are called involuntary disposal [4]. Involuntary disposal is important to reduce the animal suffering, besides being an indicator of the condition of animal welfare; high rates of involuntary disposal may indicate problems of herd management. However, animal disposal is a strategy of high cost, since the price of an eliminated cow is generally lower than the replacement price of a heifer [7].

Some criteria are used to select animals for disposal, such as (1) cows with negative pregnancy after 120 days of lactation, (2) cows that remain dry for more than 70 days, (3) serious health problems, (4) chronic infections requiring continuous treatment, (5) high somatic cell count, (6) physical defects that affect production or (7) that require special care, (8) low production or (9) not conducive to the genetic improvement herd. But above all, the economic criterion is important to be considered for the permanence of an animal within the herd [8]. Currently, the discards considering only the economic criteria is decreasing, mainly because the most widely used criterion is to select the animal genetic merit for milk production [9]. However, the correlation of milk production and other functional traits, such as fertility and disease resistance should be considered [10-12].

Indirect selection for longevity based on linear type traits

Although milk production is considered one of most important products in the dairy farming is important to determine their association with other traits [13]. Currently, type traits are measured within genetic improvement programs aiming to associate the traits type with milk production and used together with other data for selection to conformation, reproduction and longevity [14]. The purpose of the inclusion of type traits is to improve the cows conformation, providing a better body, functional and reproductive structure that enable them to meet the challenges of increasing production.

Linear types traits are used on selection for longevity because some have a positive genetic correlation, but mostly because have moderate heritability all the traits types are obtained early in the cow life [7,15]. The selection of type traits associated with longevity in the herd may be beneficial to reduce involuntary culling and thus increase profitability [16]. The type traits that present a higher influence on cows longevity are the traits related to sections udder, feet and legs, such as: anterior insertion, texture, depth, height of rear udder insertion, insertion wide rear udder, central ligament, bone quality and angle of the hull [4]. In fact, the selection by width and height of posterior udder, udder texture, udder cleft, loin strength, bone quality and final score can lead to improvements in longevity and 305 milk productions [17].

However, the large number of linear type traits and the correlation among each other can lead to inaccurate estimates on longevity and milk production due to high collinearity with linear type traits [18]. An alternative to avoid the inaccurate estimates is the factors analysis, which removes redundant information among correlated variables defining a smaller set of derived variables, called factors (Vukasinovic et al., [18]). The factor analysis provides tools for examining the correlation structure in a large number of traits, defining traits sets that are highly interrelated [19].

Molecular Base of the Longevity

Genetic selection and management changes during the last decades have significantly increased the productivity in dairy cattle. However, this recent success has not correlated with an extension of longevity and reduction in replacement rate, being the short productive life one challenge still present in dairy farming. Longevity or lifetime production of cows is determined by a combination of environmental and genetic factors. However, there is no information on the molecular basis of longevity, which is far from being understood.

New alternatives are being made available through the molecular genetic that allow to determine the genetic potential of the animal with greater precision before the expression of its phenotype, which is late for longevity. Parallel with the traditional selection, some genes and their polymorphisms are being studied and tested for association with longevity, aiming to use the results aiding in the selection process. Data of genes associated with traits type and milk production are evaluated to be included in the model longevity. Genes such as butyrophilin subfamily 1 member A1 gene (BTN1A1), acyl-CoA: diacylglycerol acyltransferase 1 gene (DGAT1), leptin receptor gene (LEPR), leptin gene (LEPR), ATP-binding cassette sub-family G member 2 gene (ABCG2). The effects of DGAT1 and ABCG2 are known on the milk production traits, LEP and LEPR have contradictory results described in literature, while the effect of BTN1A1 has not been reported.

In fact, just LEP and polymorphisms were associated with longevity in Polish Holstein- Friesian cows, being considering consistent marker for longevity in this breed [20]. A single nucleotide polymorphic of the pituitary specific transcription factor 1 with domain POU gene (POUlFl) was associated with improved longevity and milk product traits in Holstein cows. A SNP variation (SNP10793 allele A) was associated with a significant increase in PTA for milk yield in the granddaughter design population but not in the daughter design [21,22].

The detection of genes associated with increased productive life in dairy cattle generates a great perspective for identification of a molecular marker associated with increased longevity. Molecular approaches will play an increasingly important role in the genetic evaluation and selection of dairy cattle. However, the effective integration of genetic information in the context of animal breeding still represents a great challenge in the area [23,24].

References

  1. Brickell JS, McGowan MM, Wathes DC (2010) Association between Neospora caninum seropositivity and perinatal mortality in dairy heifers at first calving. Vet Rec 167: 82-85.
  2. Ducrocq V, Quaas RL, Pollak EJ, Casella G (1988) Length of Productive Life of Dairy Cows. 1. Justification of a Weibull Model. J. Dairy Sci 71: 3061–3070.
  3. Vollema AR, Groen AF (1997) Genetic correlations between longevity and conformation traits in an upgrading dairy cattle population. J Dairy Sci 80: 3006-3014.
  4. Sewalem A, Miglior F, Kistemaker GJ, Sullivan P, Van Doormaal BJ (2008) Relationship between reproduction traits and functional longevity in canadian dairy cattle. J Dairy Sci 91: 1660-1668.
  5. Cox DR (1972) Regression models and life-tables. J. R. Stat. Soc. Ser. B Stat. Methodol 34: 187-220.
  6. Ducrocq, V, Casella G (1996) A Bayesian analysis of mixed survival models. Genet. Sel. Evol. GSE 28: 505–529.
  7. Kadarmideen HN, Wegmann S (2003) Genetic parameters for body condition score and its relationship with type and production traits in Swiss Holsteins. J. Dairy Sci 86: 3685–3693.
  8. Queiroz AS, Mcallister AJ (2002) Avaliação do tipo de descarte de vacas sobre a rentabilidade de rebanhos leiteiros no Estado de Kentucky. Jouranl Dairy Science 72: 3765-3770.
  9. Lagrotta MR, Euclydes RF, Verneque R, da S, Júnior MLS, et al. (2011) Relação entre características morfológicas e produção de leite em vacas da raça Gir. Pesqui. Agropecuária Bras 45: 423–429.
  10. Short TH, Lawlor TJ (1992) Genetic parameters of conformation traits, milk yield, and herd life in Holsteins. J Dairy Sci 75: 1987-1998.
  11. Wall E, White IM, Coffey MP, Brotherstone S (2005) The relationship between fertility, rump angle, and selected type information in Holstein-Friesian cows. J Dairy Sci 88: 1521-1528.
  12. Pérez-Cabal MA, García C, González-Recio O, Alenda R (2006) Genetic and phenotypic relationships among locomotion type traits, profit, production, longevity, and fertility in Spanish dairy cows. J. Dairy Sci 89: 1776–1783.
  13. Wenceslau AA (2000) Estimação de parâmetros genéticos de medidas de conformação, produção de leite e idade ao primeiro parto em vacas da raça Gir Leiteiro. Revista Brasileira de Zootecnia, Viçosa 29: 153-158.
  14. Miglior F, Muir BL, Van Doormaal BJ (2005) Selection indices in Holstein cattle of various countries. J Dairy Sci 88: 1255-1263.
  15. Cruickshank J, Weigel KA, Dentine MR, Kirkpatrick BW (2002) Indirect prediction of herd life in Guernsey dairy cattle. J Dairy Sci 85: 1307-1313.
  16. Rogers GW, Banos G, Sander-Nielsen U(1999) Genetic correlations among protein yield, productive life, and type traits from the United States and diseases other than mastitis from Denmark and Sweden. J. Dairy Sci 82: 1331–1338.
  17. Kern EL, Cobuci JA, Costa CN, Pimentel CM (2014) Factor analysis of linear type traits and their relation with longevity in brazilian holstein cattle. Asian-Australas J Anim Sci 27: 784-790.
  18. Vukasinovic N, Schleppi Y, Künzi N (2002) Using conformation traits to improve reliability of genetic evaluation for herd life based on survival analysis. J Dairy Sci 85: 1556-1562.
  19. Hair JR JF (2009) Análise multivariada de dados. 6 ed. Porto Alegre: Bookman 679.
  20. Szyda J, Morek-Kopeć M, Komisarek J, Zarnecki A (2011) Evaluating markers in selected genes for association with functional longevity of dairy cattle. BMC Genet 12: 30.
  21. Zakizadeh S, Reissmann M, Rahimi G, Javaremi AN, Reinecke P, et al. (2007) Polymorphism of the bovine POU1F1 gene: allele frequencies and effects on milk production in three Iranian native breeds and Holstein cattle of Iran. Pak J Biol Sci 10: 2575-2578.
  22. de Jong G, Vollema AR, van der Beek S, Harbers A (1999) Breeding value for functional longevity in the Netherlands. Interbull Bull. 21: 68-72.
  23. Santos MV (2014) Descarte de vacas commastite crônica. Disponsívvel em 21 de agosto.
  24. Visscher AW(2014) Dairy management consultant culling records. Disponívelem21 de agosto.
Citation: de Mello F, Kern EL, Bretas A (2014) Longevity in Dairy Cattle. J Adv Dairy Res 2:126.

Copyright: © 2014 de Mello F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Top