Literature DB >> 12535588

Fertility estimation: a review of past experience and future prospects.

Robert H Foote1.   

Abstract

Fertility has many components and stages which require that males and females be functionally capable of carrying out all critical stages if each generational reproductive cycle is to be completed. To accomplish this, the male must produce and ejaculate normal fertile sperm. The female must produce, store and ovulate normal fertilizable oocytes. Furthermore, the female must provide a reproductive system compatible with sperm transport, capacitation, and fertilization of the oocytes, embryo and fetal development, and finally birth of healthy young. Reproductive success or failure at several of these points can be estimated quantitatively on a population basis, and in a few situations on an individual basis. It is important that fertility estimates be determined accurately and with precision to be most useful to researchers and managers of animal enterprises. Many studies have underestimated the biological relationship of fertility to other traits because the estimates lacked precision. Many in vitro manipulations of sperm in artificial insemination, of gametes in various assisted reproductive technologies, and of embryos in embryo transfer are utilized in animal breeding programs. Accurate estimation of reproductive efficiency of these in vitro procedures also is important. Conditions surrounding different sets of fertility estimates almost certainly will be different. These conditions should be described as precisely as possible, and appropriate controls included in all experiments. When possible, experiments should be replicated over time and place to determine the repeatability of the various criteria used to estimate fertility and reproductive efficiency. Advances in genomic information and molecular biology should facilitate characterizing more fully inherent potential fertility of animals at birth. In vitro tests will improve, and automated techniques will facilitate making multiple determinations possible on a large scale. Reliability of fertility estimates will increase, with the potential for enhanced animal reproductive performance through more accurate selection, genetic engineering, and enlightened animal care. Simultaneously, it is important to recognize that prediction of future fertility is more hazardous than estimating fertility, as a completely new set of circumstances may occur which are not predictable. Because fertility estimation may be applied under a myriad of conditions, principles and factors affecting fertility will be emphasized in this review as being more useful than a compilation of numerical examples. Copyright 2002 Elsevier Science B.V.

Mesh:

Year:  2003        PMID: 12535588     DOI: 10.1016/s0378-4320(02)00233-6

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


  8 in total

1.  Porcine sperm zona binding ability as an indicator of fertility.

Authors:  E D Collins; W L Flowers; R D Shanks; D J Miller
Journal:  Anim Reprod Sci       Date:  2007-01-17       Impact factor: 2.145

2.  A Mouse Model for Dietary Xenosialitis: ANTIBODIES TO XENOGLYCAN CAN REDUCE FERTILITY.

Authors:  Fang Ma; Liwen Deng; Patrick Secrest; Linda Shi; June Zhao; Pascal Gagneux
Journal:  J Biol Chem       Date:  2016-07-05       Impact factor: 5.157

3.  Sperm competition, sperm numbers and sperm quality in muroid rodents.

Authors:  Laura Gómez Montoto; Concepción Magaña; Maximiliano Tourmente; Juan Martín-Coello; Cristina Crespo; Juan José Luque-Larena; Montserrat Gomendio; Eduardo R S Roldan
Journal:  PLoS One       Date:  2011-03-25       Impact factor: 3.240

4.  Assessment of motion and kinematic characteristics of frozen-thawed Sirohi goat semen using computer-assisted semen analysis.

Authors:  Mukul Anand; Sarvajeet Yadav
Journal:  Vet World       Date:  2016-02-20

5.  Nanotechnology-based approach for safer enrichment of semen with best spermatozoa.

Authors:  Casey L Durfey; Sabrina E Swistek; Shengfa F Liao; Mark A Crenshaw; Henry J Clemente; Rooban V K G Thirumalai; Christy S Steadman; Peter L Ryan; Scott T Willard; Jean M Feugang
Journal:  J Anim Sci Biotechnol       Date:  2019-02-09

6.  Semen molecular and cellular features: these parameters can reliably predict subsequent ART outcome in a goat model.

Authors:  Fiammetta Berlinguer; Manuela Madeddu; Valeria Pasciu; Sara Succu; Antonio Spezzigu; Valentina Satta; Paolo Mereu; Giovanni G Leoni; Salvatore Naitana
Journal:  Reprod Biol Endocrinol       Date:  2009-11-09       Impact factor: 5.211

Review 7.  Current status and potential of morphometric sperm analysis.

Authors:  Alejandro Maroto-Morales; Olga García-Álvarez; Manuel Ramón; Felipe Martínez-Pastor; M Rocío Fernández-Santos; A Josefa Soler; José Julián Garde
Journal:  Asian J Androl       Date:  2016 Nov-Dec       Impact factor: 3.285

8.  Scrotal circumference: A predictor of testosterone concentration and certain attributes of seminal vesicles influencing buffalo male fertility.

Authors:  S Mahmood; A Kumar; R Singh; M Sarkar; G Singh; M R Verma; G V P P S R Kumar
Journal:  Vet World       Date:  2018-06-05
  8 in total

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