Producción de leche real vs la calculada a partir de la ENL estimada por el algoritmo de análisis de imágenes red-green-blue de gramíneas

Oscar Fernando Ospina Rivera,Héctor José Anzola Vásquez,Daniel Eduardo Benavides Perez,Iván Benavides Arciniegas,Juan Sebastian Arévalo Cantor,Gustavo Adolfo Galvis Enriquez,Andrea Baracaldo Martínez,Olber Arturo Ayala Duarte

doi:10.1590/0103-8478cr20200551

Oscar Fernando Ospina Rivera, Héctor José Anzola Vásquez + Show 6 more

Open Access

https://doi.org/10.1590/0103-8478cr20200551

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Abstract

ABSTRACT: Knowledge about the net lactation energy (NLE) contained in the dry matter of grasses is necessary to make decisions about forage and the balance of diets for grazing cattle. Its determination is made in laboratories using wet or dry chemistry methods, which are costly, delayed, and sometimes present sampling- or process-related reliability problems. An algorithm, which analyzes the red-green-blue (RGB) images of grasses taken by drone, has been developed as a technological alternative. This has allowed us estimating the NLE level, reducing costs, and changing the sampling system and analysis method. The objective of the present study was to compare the milk production, which was calculated from the NLE and estimated using the algorithm for analysis of RGB images of grasses (included in the TaurusWebs® software), vs the actual milk production. The study was conducted in 15 dairy farms belonging to the dairy control system of the Colácteos dairy cooperative, which are located in the upper tropical region (Department of Nariño, Colombia). The prairies evaluated were composed of mixtures of Kikuyo (Pennisetum clandestinum), Raigrás (Lolium spp), and False Poa (Holcus lanatus). The result was analyzed using a linear regression model (R²=0.86; R=0.93). In the Student´s t-test, the actual and estimated milk production averages were equal (P>0.05). In conclusion, the NLE calculated using the algorithm satisfactorily explains the study livestock production, and the information generated by the algorithm can be used to calculate the NLE of grasses.

Highlights

For dairy cow production systems, grazing is a low-cost food source, compared to balanced food or mixed raw materials
The images were processed for calculation of the net lactation energy (NLE) of the prairies using the algorithm for RGB image analysis (TAURUSWEBS® SOFTWARE; OSPINA, 2017) by a properly trained field professional
During the analysis of the relationship between milk production and the real milk production, the determination (R2=0.86) and correlation (R=0.93) coefficients were obtained. These values indicated that the milk production calculated from the NLE of the algorithm is highly correlated with the real milk production by the livestock

Summary

Introduction

For dairy cow production systems, grazing is a low-cost food source, compared to balanced food or mixed raw materials. The problem of pasture-based dairies is that they have less net lactation energy (NLE) per kg of dry matter. They are susceptible to climatic effects, permanent change in the energy supply of the forage base, generating uncertainty in decision making Van Soest proposed a wet chemistry technique, in which detergents are used at different hydrogen potential (pH) values, reaching the Fiber in Neutral (NDF) and Acid (ADF) Detergent concepts. They have been used to calculate the energy from the digestibility of fibers and their interaction with protein fractions (BOSCHINI-FIGUEROA, 2006). Dry chemistry methods based on the nearinfrared reflectance spectroscopy (NIRS), which are fast, widely diffused, and less polluting, have been used successfully (COZZOLINO, FASSIO, & GIMENEZ, 2001; VÁSQUEZ, ABADÍA, & ARREAZA, 2004)

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