Key Features of RLM 3.3

Calculation of nutritional requirements of beef and dairy cattle in temperate and tropical climates;
Formulation calculation based on food and nutritional restrictions;
Ration for profit (lower cost of weight gain) for beef cattle;
Feed for the cost (lowest cost per kg of feed) for beef and dairy cattle;
Fully editable nutritional requirements and food composition;
Customization of compensatory gain for beef cattle with adjustment of protein and energy consumption;
Greater compilation of additives and their associations in the animal model in a single software for beef cattle;
Formulation of diet for confinement and pasture with preparation of concentrates, protein, mineral salt, etc;
Ingredient shadow price calculation (price inclusion and exclusion by price);
Distribution of ingredients in up to 3 mixers to compose diets on the farm;
Extraction of concentrates from total diets by means of mixers;
Complete calculation of animal and economic performance according to each diet;
Standard and fully editable Food Library;
Fully editable PDF report in information and logos;
Import and export of complete diets, foods and nutrients;

Technology

The RLM was developed by the research group of Dr. Dante Pazzanese Lanna at Cornell University in the United States, and later at ESALQ/USP and UFPR in Brazil, with Professor Rodrigo de Almeida.

The program calculates nutritional requirements based on equations from the Cornell System, the Californian Liquid Energy System, AFRC and CSIRO, adapted to the tropical and temperate climates.

The System is continuously updated with the latest experimental data conducted at research institutes and universities around the world.

RLM received the Santander Award for Innovation and Entrepreneurship. Its innovative mathematical model calculates the optimal solution with the aid of nonlinear optimization. This allows you to find the maximum profit ration and optimum performance level.

The RLM also called for having an environmental model that allows the calculating of methane production and CO2 equivalent emissions, allowing to minimize the environmental impact of the activity.

Buy now

Questions

Requirements for installing RLM

RLM

Treinamento RLM - Piracicaba (SP)

Publicado em 22/10/2024 Data: 28, 29 e 30 de novembro de 2024 Ler mais >

Complete, Intuitive and Award-winning

Developed by a team qualified in the areas of research and technology, RLM stands out for being an easy-to-use, practical, complete and reliable software.

SANTANDER ENTREPRENEURSHIP AWARD
SANTANDER SCIENCE AND INNOVATION AWARD
Developed at the Superior School of Agriculture “Luiz de Queiroz” – ESALQ, USP

Contact

by index soluções