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| [[PRY]] [[Download PRY|(Download)]]| [[LiDaSt]] [[Download Lidast|(Download)]] | [[Manuals]] | [[Research Papers]] | [[Become a Supporter]] | [[Contact]] | [[About]]
| [[PRY]] [[Download PRY|(Download)]]| [[Lidast]] [[Download Lidast|(Download)]] | [[Manuals]] | [[Research Papers]] | [[Become a Supporter]] | [[Contact]] | [[About]]


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Revision as of 10:10, 5 October 2015


Pry-logo.png

PRY

Livestock Herd Modeling Software


A species independent, bio-economic livestock herd population model simulator which allows for assessing population productivity in different dimensions


| Overview | Download | User Manual | Research Papers |


LiDaSt

Livestock Data Management Store

A Windows Software Client which allows to manage Livestock-Herd Datasets for individuals and among researcher groups


| Overview | Download | User Manual |





| PRY (Download)| Lidast (Download) | Manuals | Research Papers | Become a Supporter | Contact | About




What is PRY

PRY is a bio-economic livestock herd/population model developed by Dr. habil. Richard Baptist (formerly of the University of Nairobi and the University of Hohenheim) in 1988. PRY is a species independent, livestock-driven, herd model, which combines deterministic and stochastic procedures and allows for assessing herd/population productivity, simulating herd/population development, comparing productivity between livestock systems and management strategies within livestock systems.

PRY derives a productivity index (PI) "total output value/dry matter intake (TOV/DMI)" as a measure of overall productivity of an animal production system. Dry matter intake is chosen as denominator in this index because feed is considered the most limiting production asset as it generally accounts for the major part of production costs and is the main input factor in extensive animal husbandry systems.

PRY in its original DOS based version consists of six single components or modules (DIC, PIC, SAM, FOC, BOI, APE). Demographic input parameters are entered and stored in DIC. Produce-related input parameters are entered and stored in PIC. Deterministic modelling components SAM, FOC, and BOI derive population structure, numeric offtake, life expectancies and potential rate of increase of population for an infinitely large, closed equilibrium population (a population at steady state) from the DIC parameters. Total offtake value per dry matter intake for different disposal strategies is derived adding information from the PIC parameters, thus the model permits to find an optimal culling strategy (FOC). With a specific culling regime specified, a detailed breakdowns of offtake and intake (BOI) can be derived. The stochastic animal population emulator APE permits the simulation of herd/population development over time.

PRY was further developed by Dr. Richard Baptist into an MS Excel add-in named HerdLife. HerdLife combined the different modules above and eased handling of the model, particularly parameter input as well as display and storage routines.

In a current effort encouraged by the model author, PRY / HerdLife will be linked to external data sources – i.e. spreadsheet or database applications often used in research projects as well as livestock management programmes such as CowSense (TM by Midwest Microsystems). Thus, input parameters can be directly read/retrieved from data either routinely collected in commercial livestock operations or data generated by research projects. The initiative is carried forth by a consortium between Science Data Services (Dr. Simon Riedel), the German Institute for Tropical and Subtropical Agriculture [www.ditsl.org DITSL] (Dr. Christian Hülsebusch and Prof. Dr. Brigitte Kaufmann) and the University of Kassel (Dr. Uwe Richter, Prof. Dr. Eva Schlecht). The consortium appreciates the generous permission of the author, Dr. habil. Richard Baptist, to further develop his valuable tool with the aim to provide a flexible decision support tool for the management of livestock systems.

In a first step, the model was transcribed into a standalone application running under Windows XP/7 named PRY 3.0 beta – which can be downloaded here for test purposes

In a next step, a MySQL database will be coupled to PRY 3.0 beta that permits translation of CowSense (TM by Midwest Microsystems) export data into demographic input parameters for PRY.