Probability density function of the number of embryos collected from superovulated Nelore breed donors

Bibliographic Details
Title: Probability density function of the number of embryos collected from superovulated Nelore breed donors
Authors: Beltrame, Renato Travassos, Barioni, Luis Gustavo, Quirino, Celia Raquel, Dantas, Ozanival Dario
Source: Scientia Agricola. August 2009 66(4)
Publisher Information: Escola Superior de Agricultura "Luiz de Queiroz", 2009.
Publication Year: 2009
Subject Terms: zebu, cattle, reproduction, model
More Details: Several models have been developed to evaluate reproductive status of cows through concentration of progesterone in milk, the effect of sex selection in the commercial production of herds and bioeconomic performance of the multiple ovulation and embryo transfer system in select herds. However, models describing the production of embryos in superovulated females have yet to be developed. A probability density function of the number of embryos collected by donors of the Nelore breed was determined. Records of 61,928 embryo collections from 26,767 donors from 1991 to 2005 were analyzed. Data were provided by the Brazilian Association of Creators of Zebu and Controlmax Consultoria e Sistemas Ltda. The probability density function of the number of viable embryos was modeled using exponential and gamma distributions. Parameter fitting was carried out for maximum likelihood using a non-linear gradient method. Both distributions presented similar level of precision: root mean square error (RMSE) = 0.0072 and 0.0071 for the exponential and gamma distributions, respectively; both distributions are thus deemed suitable for representing the probability density function of embryo production by Nelore females.
Document Type: article
File Description: text/html
Language: English
ISSN: 0103-9016
DOI: 10.1590/S0103-90162009000400003
Access URL: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000400003
Rights: info:eu-repo/semantics/openAccess
Accession Number: edssci.S0103.90162009000400003
Database: SciELO
More Details
ISSN:01039016
DOI:10.1590/S0103-90162009000400003
Published in:Scientia Agricola
Language:English