Feeding the buffalo: How does food efficiency affect productivity?

It is now part of the industry literature that Precision Farming is a key aspect in any agricultural setting but in cattle feeding it plays a crucial role. Constant measurement of feed efficiency indicators with an NIR analysis tool is crucial for improving or monitoring dairy cow productivity. What about hoaxes?

To answer this question the Department of Animal Medicine, Production and Health (MAPS), University of Padua, Italy. conducted a Experimentation in multiple buffalo farms between Lazio and Campania in order to assess how we can improve feed efficiency, that is, the correlation between milk production and animal feeding.

The first results of this research were presented at a Forum dedicated to buffalo feeding organized by Faresin Industries on Feb. 7 in Altavilla Silentina, near the largest Italian area with a high concentration of buffalo farms.

During the conference, Prof. Igino Andrighetto from the University of Padua analyzed data collected by the MAPS department team in order to assess feed efficiency in dairy buffalo and describe what management parameters influence it.

Research has shown that, among the dietary factors, theblend homogeneity index, selection index and digestibility gain great importance, which are measured directly in the field. These indices have a direct effect on production in that, if maintained at optimal levels, they can increase productivity, improve animal welfare and reduce feed costs.

The blending wagon thus becomes a key player in the process as quality blending allows these feed factors to be optimized, increasing the sustainable profitability of the farm. Incorrect loading order, suboptimal fiber length and overfilling of the mixing tub can lead to inefficiencies, so it is important to pay close attention to daily unifeed preparation.

In addition, with an NIR analysis instrument mounted on the mixing tub of the wagon or used in portable mode, critical issues in the formulation, preparation and administration of diets can be identified in real time. In this way, any errors can be corrected in a timely manner to maintain constant productivity.

Local farms participating in the forum expressed great interest in this analysis as they could find out how to improve their farm performance and how to make the most of their mixer wagon’s potential in order to increase profits and animal welfare.

Early findings seem to point to a successful application of the model developed by the University of Padua for cows to dairy buffalo farming as well. The model will be refined by conducting further analysis in the future.

Finally, a fruitful discussion took place with Profs. Luigi Zicarelli and Gianluca Neglia of the University of Naples Federico II, and with experts in the field, primarily Nicola Palmieri president of the ANASB association, from which it emerged that this early evidence charts an important path to be developed in the field of buffalo breeding.

Laura Pettenuzzo

Laura Pettenuzzo

My name is Laura and I am in charge of communications and press relations. I am very creative and enjoy unleashing my creativity in producing content such as articles, photos and videos. Curiosity is my mantra. I am passionate about marketing and innovative communication, and I am always alert to new trends.
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ERAMIX - Electric and Robot driven mixing technologies for the future sustainable agriculture

Nella proposta progettuale il team R&D Faresin sarà impegnato in attività di ricerca industriale e sviluppo sperimentale. Le stesse saranno portate a termine mediante l’apporto intellettuale di tecnici interni all’azienda, avvalendosi del supporto di specialisti esterni, tra gli altri: Service Group R&D, dell’Università degli studi di Padova. Il progetto è stato sostenuto dal Ministero delle Imprese e del Made in Italy attraverso la concessione di un contributo diretto alla spesa pari a 1.960.732 € e di un finanziamento a tasso agevolato pari a 1.386.222 €.

Puntualmente, le finalità di progetto si riassumono nei seguenti punti:

• massimizzazione del benessere dell’animale: precision feeding, benessere dell’ambiente stalla;
• elettrificazione dei sistemi di propulsione per carri miscelatori;
• farm del futuro:
• sviluppo della guida autonoma per i carri di miscelazione
• sviluppo di un MES per la gestione del processo: precision farming
• implementazione del calcolo della carbon footprint di processo in real-time analizzata in tempo reale e riferita al litro di latte prodotto

Le attività prevedranno tutti gli step necessari alla realizzazione di una nuova gamma di prodotto: dalla fattibilità, alla progettazione, alla realizzazione e test, una pluralità di work packages sono volti alla realizzazione e validazione di prototipi di carro miscelatore, full electric, anche con guida autonoma e con features digitali che porteranno alla rivoluzione delle attuali pratiche operative del settore di riferimento.

Infine, il progetto rispetta il principio DNSH (“Do No Significant Harm”), di cui all’articolo 17 del regolamento (UE) 2020/852 del Parlamento europeo e del Consiglio, del 18 giugno 2020. La quantificazione dell’impatto ambientale associato alle soluzioni sviluppate nel corso del progetto agevolato viene condotta facendo ricorso a strumenti di LCA (Life Cycle Assessment) grazie alla collaborazione con la società Service Group R&D.