
About CNRIT
Location, mission, people and history of the Center for Natural Resource Information Technology
Location
The Texas A&M AgriLife Center for Natural Resource Information Technology, CNRIT, is located at the Texas A&M AgriLife Blackland Research and Extension Center in Temple.
495 Horticulture Rd. Rm. 305
College Station, TX 77843-2138
ganlab@brc.tamus.edu

CNRIT Mission
Bring together big data and computational technology to develop decision support systems that bolster the well-being of landowners, Texans, and the natural resources that must support future generations.
History
Established in 1991, CNRIT is a research and development institution that brings together big data and computational technology to develop decision support systems that bolster the well-being of landowners, Texans, and the natural resources that must support future generations. These decision support systems form a holistic, interdisciplinary approach to planning, monitoring and assessing emerging land management paradigms, new technologies and policy.
Beginnings
In 1987 the Ranching System Group now the Department of Ecosystem Science and Management at Texas A&M University first began its work on the technologies now used by the Grazingland Animal Nutrition Lab. Originally a research-based operation to study animal nutrition and grazing behavior, our focus centered on developing a system to monitor range conditions by utilizing fecal profiling via NIRS (near infrared reflectance spectroscopy) analysis.



The analysis system was developed to analyze what the animals consumed, instead of people collecting forage samples. This greatly reduces the cost of field sampling and improves accuracy of animal consumption. The fecal sample would be collected and scanned using NIRS machines to capture the spectra of the fecal chemistry. Our calibration equations, developed through many years of research, are then applied to the fecal sample’s spectra to generate dietary crude protein (%CP), digestible organic matter (%DOM), fecal phosphorus, and fecal nitrogen results. These results, in essence, put a “feed tag” on the pasture the animal is grazing. For more information regarding equation, development visit the NIRS Technology page.
While the intent was to develop a non-invasive tool for range research, its potential benefits to the private sector soon became evident during ranch trials conducted in the early 1990s. The first cattle equations were developed, tested and then published in 1992 by Drs. Jerry Stuth and Robert Lyons. The success of the first equations led to the opening of the GANLAB to offer services to livestock managers nationwide. After the completion of the cattle equations, our research turn to developing diet quality equations for goats, white-tailed deer, sheep, elk and equine.
To further utilized the NIRS results, we developed a nutritional balance profile (NUTBAL) software program first released in DOS in 1995. In 1999, the Windows version of NUTBAL Pro was released. The current version (1.0.1) includes many updates and improvements since the first release. NUTBAL’s primary challenge is to provide the livestock industry with the ability to monitor the nutrient content in the animal’s diet and determine if the current diet is sufficient to meet performance goals set by the producer. This decision support software generates reports describing the animal performance and cost effective feed solutions. These two technologies came together to form the NIRS/NUTBAL system, which has been in use in the U.S. and abroad for nearly 20 years. For more information on the NUTBAL software visit the NUTBAL page.
The future
Since 1999, we have expanded the use of NIRS technology for fecal profiling by establishing new labs in East Africa, South America, Mongolia, and Afghanistan through World Bank and USAID grants. In addition to the fecal profiling, our research has included soil analysis (carbon) and wool and fiber grading. This new array of diagnostic tools would offer livestock producers, consultants, wildlife managers, and researchers a noninvasive method of monitoring grazing animals, as well as rangelands and grasslands.