Literature DB >> 12142240

Influence of metabolic hormones and nutrition on ovarian follicle development in cattle: practical implications.

J G Gong1.   

Abstract

Nutrition has long been known to have a profound influence on reproductive performance of female cattle, but the underlying mechanism remains poorly understood. Whilst early investigations focused on the modulation of nutrition on hypothalamic-pituitary axis, more recent studies have tested the hypothesis that metabolic hormones as nutritional signals exert a direct effect at the ovarian level. In cattle, treatment with recombinant bovine somatotrophin (rGH) significantly increases the population of small ovarian follicles. This is associated with increases in circulating concentrations of insulin and insulin-like growth factor-I (IGF-I). Subsequent studies, both in vitro and in vivo, have highlighted the importance of IGF-I and/or insulin acting in synergy with FSH and LH. More recently, we demonstrated that feeding heifers with 200% maintenance requirements for a short period significantly increases circulating insulin concentrations and population of small ovarian follicles. Based on these findings, our recent work has aimed at addressing some practical problems in cattle production. Firstly, we showed that both rGH pretreatment and increased dietary intake significantly enhance the response to standard superovulatory regimes. Secondly, we have demonstrated that feeding a diet to increase circulating insulin concentrations during the early lactation can advance the first ovulation postpartum and increase conception rate to the first service in dairy cows. In summary, nutrition influences ovarian follicle development in cattle possibly through changes in metabolic hormones. These interactions can be manipulated to improve reproductive performance.

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Year:  2002        PMID: 12142240     DOI: 10.1016/s0739-7240(02)00159-5

Source DB:  PubMed          Journal:  Domest Anim Endocrinol        ISSN: 0739-7240            Impact factor:   2.290


  7 in total

Review 1.  Caloric restriction: impact upon pituitary function and reproduction.

Authors:  Bronwen Martin; Erin Golden; Olga D Carlson; Josephine M Egan; Mark P Mattson; Stuart Maudsley
Journal:  Ageing Res Rev       Date:  2008-02-07       Impact factor: 10.895

Review 2.  Stem cells, their niches and the systemic environment: an aging network.

Authors:  Daniela Drummond-Barbosa
Journal:  Genetics       Date:  2008-12       Impact factor: 4.562

Review 3.  Conserved insulin signaling in the regulation of oocyte growth, development, and maturation.

Authors:  Debabrata Das; Swathi Arur
Journal:  Mol Reprod Dev       Date:  2017-04-24       Impact factor: 2.609

4.  The influence of nutrition on the insulin-like growth factor system and the concentrations of growth hormone, glucose, insulin, gonadotropins and progesterone in ovarian follicular fluid and plasma from adult female horses (Equus caballus).

Authors:  Juan Salazar-Ortiz; Philippe Monget; Daniel Guillaume
Journal:  Reprod Biol Endocrinol       Date:  2014-07-31       Impact factor: 5.211

5.  The association of two single nucleotide polymorphisms (SNPs) in growth hormone (GH) gene with litter size and superovulation response in goat-breeds.

Authors:  Chunyan Zhang; Yun Liu; Kunkun Huang; Wenbing Zeng; Deqing Xu; Qunying Wen; Liguo Yang
Journal:  Genet Mol Biol       Date:  2011-03-01       Impact factor: 1.771

6.  A polymorphism in the insulin-like growth factor 1 gene is associated with postpartum resumption of ovarian cyclicity in Holstein-Friesian cows under grazing conditions.

Authors:  Paula Nicolini; Mariana Carriquiry; Ana Meikle
Journal:  Acta Vet Scand       Date:  2013-02-14       Impact factor: 1.695

7.  Effects of Extra-Long-Acting Recombinant Bovine FSH (bscrFSH) on Cattle Superovulation.

Authors:  Miguel A Gutiérrez-Reinoso; Constanza J Aguilera; Felipe Navarrete; Joel Cabezas; Fidel O Castro; Ignacio Cabezas; Oliberto Sánchez; Manuel García-Herreros; Lleretny Rodríguez-Alvarez
Journal:  Animals (Basel)       Date:  2022-01-09       Impact factor: 2.752

  7 in total

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