Literature DB >> 15271476

The use of hormonal treatments to improve the reproductive performance of lactating dairy cows in feedlot or pasture-based management systems.

M C Lucy1, S McDougall, D P Nation.   

Abstract

Hormonal interventions have been used to increase the probability of estrous detection and insemination, and to increase pregnancy rates of dairy cattle under a variety of management systems. The present review addresses the basic principles of hormonal intervention and presents typical examples that illustrate the methodology. The hormones used to control the estrous cycle mimic the reproductive hormones found within the normal cow. Most estrous synchronization systems employ a method for controlling follicular wave development, promoting ovulation in anestrous cows, regressing the corpus luteum in cyclic cows, and synchronizing estrus and (or) ovulation at the end of treatment. A wide range of reproductive systems are in place on dairy farms. In most herds, a non-intervention period is practiced where postpartum cows are observed estrus estrus. Cows not observed in estrus are then treated. A number of studies in pasture-based and confinement systems have demonstrated net benefits of whole-herd synchronization. Despite the advantages of whole-herd reproductive programs, their uptake has been inconsistent globally. The benefits of a timed artificial insemination (AI) system increase under conditions of poor estrous detection rate and poor conception rate. The unpopular nature of timed AI programs in pasture-fed cows relates to high rates of estrous detection and conception for pasture-based dairying. Regardless of production system, some cows must be re-inseminated because they are not pregnant after first insemination. The presence of "phantom cows" (non-pregnant cows that do not return to estrus) creates a serious reproductive challenge for both pasture-based and confinement-style operations. Early pregnancy diagnosis and second insemination timed AI may reduce the effects of phantom cows on dairy herds. Fundamental research into anestrous, the hormonal control of the estrous cycle, and early pregnancy detection should elucidate new methods that can be used to strengthen reproductive programs on dairy farms.

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Year:  2004        PMID: 15271476     DOI: 10.1016/j.anireprosci.2004.05.004

Source DB:  PubMed          Journal:  Anim Reprod Sci        ISSN: 0378-4320            Impact factor:   2.145


  6 in total

1.  Preparation of TPP-crosslinked chitosan microparticles by spray drying for the controlled delivery of progesterone intended for estrus synchronization in cattle.

Authors:  Ignacio M Helbling; Carlos A Busatto; Silvana A Fioramonti; Juan I Pesoa; Liliana Santiago; Diana A Estenoz; Julio A Luna
Journal:  Pharm Res       Date:  2018-02-20       Impact factor: 4.200

Review 2.  A review of current timed-AI (TAI) programs for beef and dairy cattle.

Authors:  Marcos G Colazo; Reuben J Mapletoft
Journal:  Can Vet J       Date:  2014-08       Impact factor: 1.008

3.  Comparison between two progesterone sources and two oestradiol formulations in a Heatsynch protocol for postpartum cycling dairy cows in pasture.

Authors:  Maarten F A Andringa; Frank J C M Van Eerdenburg; Elisa Fernández; Sofía García; Daniel Cavestany
Journal:  J Vet Sci       Date:  2013-04-30       Impact factor: 1.672

4.  An echographic study of follicular growth during induced estrus in female Azawak zebu in Niger.

Authors:  Mahamadou Moussa Garba; Moumouni Issa; Hamani Marichatou; Christian Hanzen
Journal:  Trop Anim Health Prod       Date:  2015-06-21       Impact factor: 1.559

5.  Efficacy of a combined protocol for re-insemination of open cows after early pregnancy diagnosis using ultrasonography and its effect on fertility.

Authors:  A O Gaja; S Y A Al-Dahash; C Kubota; T Kojima; I Hatazoe
Journal:  Open Vet J       Date:  2013-04-28

6.  Changes in circulating microRNA levels can be identified as early as day 8 of pregnancy in cattle.

Authors:  Jason Ioannidis; F Xavier Donadeu
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

  6 in total

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