Feeding dairy cows with Total Mixed Rations (TMR) is a cost-effective way to obtain high milk yield. Animal nutritionists are demanding accurate information on the main chemical constituents of TMR to properly feed lactating cows. The use of portable NIRS devices could provide an affordable answer. This work analysed a total of 121 TMR using two portable NIRS instruments for the prediction of dry matter, crude protein and neutral detergent fibre. The paper evaluated whether there were significant differences between the predictive capacities of the models developed from analytical data expressed “ as dry matter” or “ as is basis”.
Currently, it is very demanded by nutritionists the availability of real-time on farm analysis for Total Mixed rations ( TMR ) quality control at the level of individual dairy farms. This study refers to the prediction of Crude Protein ( CP) in TMR, after transference of a library file ( N =394 ) of TMR samples from a monochoromator instrument, to two on-farm portable instruments (NIR4Farm, AUNIR, UK and AURORA, GraiNIT, Italy). The results obtained demonstrated that CP can be predicted by NIRS at “ on farm level”, with an accuracy similar to the most expensive at-line laboratory instruments.
KEYWORDS: Near infrared, Statistical analysis, Sensors, Calibration, Reflectance spectroscopy, Algorithm development, Data modeling, Chemical analysis, Analytical research, Control systems
Mastitis is an infectious-contagious disease that causes an inflammation of the udder that affects a high proportion of dairy cows throughout the world. The difficulty of its diagnosis (which requires culture media especially for its isolation) and inefficiency of antibiotics in your treatment, what become a fearsome enemy if detected its presence in a dairy farm, since only very rigorous hygiene and disposal measures of the positive cows, are the measures known for controlling it. While it is true that subclinical mastitis does not usually increase in greatly the amount of colony forming unit (CFU)/ml (x1000) of tank milk, can contribute some bacteria potentially harmful to human health, also alters the composition of milk. This research introduces the development of an analytical methodology for on-site monitoring the CFU/ml in raw milk at farm level by using a portable NIR sensor MicroPhazirTM NIR spectrometer, using a total of 1266 liquid milk samples, scanned at room temperature without pre-treatment. Samples were divided into two sub-sets. The training set composed of 1197 samples, and a set of 69 samples to external validation. Classification models were used for the prediction of CFU/ml in milk at legal level: < 400 and ≥ 400 CFU/ml(x1000), achieving less than 3% of penalties.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.