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Comprehensive Genetic Herd Management System for Livestock Breeding Optimization
  1. case
  2. Comprehensive Genetic Herd Management System for Livestock Breeding Optimization

Comprehensive Genetic Herd Management System for Livestock Breeding Optimization

blackthorn-vision
Agriculture
Information technology
Business services

Identifying Key Challenges in Livestock Genetic Management

The client faces significant difficulties in selecting optimal breeding traits, controlling mating, monitoring herd health and performance, and accessing genetic data efficiently. These pain points hinder the ability to reduce disease incidence, improve genetic progress, and maximize herd profitability, necessitating an integrated, user-friendly technological solution.

About the Client

A leading livestock genetics company specializing in reproductive technologies and herd health management, serving dairy and meat producers worldwide, seeking to enhance genetic selection, herd performance, and profitability through advanced software solutions.

Goals for Developing an Advanced Livestock Genetic Management Platform

  • Enable precise selection of high heritability traits to decrease disease rates within herds.
  • Implement a personalized sire selection algorithm aligned with individual farm economic parameters.
  • Develop a robust herd monitoring system utilizing synchronized farm data for performance insights.
  • Create a streamlined process for collecting and accessing genetic samples and results, including genomic data for females.
  • Facilitate controlled mating processes with real-time data visualization and decision support.
  • Deliver easy-to-understand, actionable reports to support breeding and herd management decisions.
  • Enhance genetic progress forecasting capabilities to optimize herd improvement strategies.

Functional Specifications for Livestock Genetic Management Solution

  • A desktop application for evaluating genetic traits and selecting sires based on customizable, farm-specific economic parameters.
  • Segmentation of herd groups and trait analysis for targeted breeding strategies.
  • A breeding decision module for sire and mating selection, with high-precision genetic assessments.
  • Forecasting tools for genetic progress and performance projections.
  • Herd performance monitoring system integrating farm data, visualizing over 40 KPIs, and comparing against business goals.
  • Genetic data management for females: rapid genomic testing, parentage correction, and immunity assessment.
  • A mobile app for organizing and submitting genetic samples, with instant access to test results.
  • Automatic genetic selection processes and filters for identifying the best-performing animals.

Technology Stack Preferences for Livestock Genetics Platform

.NET Framework and .NET Core for desktop and web applications
WPF for desktop UI development
Xamarin for cross-platform mobile app development
Azure cloud services for scalable data storage and processing
Entity Framework and MS SQL Azure for database management
Reactive UI principles for responsive interfaces

External System Integrations Essential for Functional Completeness

  • Farm management and milking parlor software for data synchronization
  • Genetic testing laboratories for sample analysis results
  • Farm data collection systems for herd performance metrics
  • Genomic database access for female genetic information

Core Non-Functional System Requirements

  • Scalability to support global deployment across nearly 90 countries
  • High data security standards to protect sensitive genetic and farm information
  • System uptime of at least 99.9% with reliable data synchronization
  • Responsive performance enabling real-time decision-making and reporting
  • User-friendly interfaces tailored for both technical and non-technical users

Projected Business Benefits and Impact of the Livestock Management System

The implementation of this integrated genetic herd management platform aims to significantly improve breeding accuracy, reduce herd disease incidence, and accelerate genetic progress. Anticipated outcomes include enhanced farm profitability, more predictable mating results, and better herd health management. Expected to serve an international user base and support sustainable livestock industry growth by providing intelligent, easy-to-use technological tools for herd optimization.

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