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USING THE STATISTIC MODUL WITHIN AN ORIGINAL COMPUTER PROGRAM FOR DAIRY CATTEL FARMS

Vasile Maciuc, Domnica Maciuc, Steofil Creanga, Livia Vidu

First published: 2017-06-20https://doi.org/10.5593/sgem2017/61/s25.155View metrics

Abstract

The paper presents the original results regarding a computer program for production and reproduction data management in dairy cattle farms, with the statistics module necessary for the farmerпїЅs current processing and the genetic improvement of the livestock. The statistics module processes the data entered by the farmer and provides statistical data for several parameters specific to cattle farms, such as: X , пїЅs x , s, V%, genetic parameters (heritability, correlations, repetability) and the genetic evaluation of the sires, with the BLUP option. The main modules of the application are: user interface (GUI), business logic module (BusinessLogicLayer), the database access module (DataAccesLayer) and the statistics module (SAVC- variance and covariance statistical analysis). The uses programming language, Fox-Pro, is well structured and falls into the SGBDs category. The R.E.M.L. (Restricted Maximum Likelihood) linear programming пїЅ which is based on a function maximizing iterative process пїЅ was used to estimate the genetic parameters. The program called пїЅC.O.P.&R.GпїЅ with the S.A.V.C. option was developed at the University of Agricultural Sciences and Veterinary Medicine, Faculty of Animal Sciences, Iasi, Romania and it addresses farmers and units dealing with production recording and improving dairy cattle.

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Publication details

Title
USING THE STATISTIC MODUL WITHIN AN ORIGINAL COMPUTER PROGRAM FOR DAIRY CATTEL FARMS
Authors
Vasile Maciuc, Domnica Maciuc, Steofil Creanga, Livia Vidu
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Nano, Bio and Green - Technologies for a Sustainable Future
Publisher
STEF92 Technology
Year
2017
Pages
1191-1198
SWS Citekey
Maciuc20172511911198
ISSN
1314-2704
ISBN
978-619-7408-12-6
Language
en
Publication type
Conference Paper
Keywords
computer programdata managementstatisticsfarmscattlemilk
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