Real-Time Quantification of Crude Protein and Neutral Detergent Fibre in Pastures under Montado Ecosystem Using the Portable NIR Spectrometer

被引:5
作者
Carreira, Emanuel [1 ]
Serrano, Joao [1 ]
Shahidian, Shakib [1 ]
Nogales-Bueno, Julio [2 ,3 ]
Rato, Ana Elisa [1 ]
机构
[1] Univ Evora, MED Mediterranean Inst Agr Environm & Dev, Inst Invest & Formacao Avancada, Polo Mitra,Ap 94, P-7006554 Evora, Portugal
[2] Univ Seville, Fac Farm, Food Colour & Qual Lab, Area Nutr & Bromatol, Seville 41012, Spain
[3] Univ Cordoba, Dept Anim Prod, Campus Rabanales, Cordoba 14072, Spain
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 22期
关键词
micro NIR; portable NIR spectrometry; pastures; crude protein; fibre; real-time; decision making; NEAR-INFRARED SPECTROSCOPY; REFLECTANCE SPECTROSCOPY; CHEMICAL-COMPOSITION; OPTICAL SENSORS; FRESH PASTURES; QUALITY; PREDICTION; MODELS;
D O I
10.3390/app112210638
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Featured ApplicationThe knowledge of pastures' nutritional value in the Montado ecosystem is critical for farm managers' decision-making regarding soil fertilization, animal supplementation and grazing management. Laboratory determinations of the parameters related to pastures' nutritional value (crude protein, fibre and others) are very expensive, destructive and costly, in terms of time and labour. This study shows the potential of a portable near-infrared spectrometer as a fast and non-destructive technique for estimating, in situ, pasture quality parameters.The Montado is a Mediterranean agro-forestry-pastoral ecosystem. Knowledge of pastures' nutritional value is critical for farm managers' decision-making. Laboratory determinations are very expensive, destructive and costly, in terms of time and labour. The objective of this experimental work was to calibrate and validate a portable near-infrared spectrometer (micro-NIR) to predict the nutritive value (neutral detergent fibre, NDF and crude protein, CP) of pastures in the peak of spring 2021. Thus, a total of 87 pasture samples were collected at eight experimental fields located in the Alentejo, Southern region of Portugal. The results show good correlations between in-situ micro-NIR measurements and pasture NDF reference values (R-2 of 0.73 and 0.69 for calibration and validation models, respectively), and a moderate correlation between micro-NIR measurements and pasture CP reference values (R-2 of 0.51 and 0.36 for calibration and validation models, respectively). These results show the potential of this tool for the quick evaluation of pasture quality and constitute a starting point for future work, which should include the monitoring of temporal variability (throughout the entire vegetative cycle of the pasture) and spatial (with geo-referenced information) diversity of pastures characteristic of the Montado ecosystem in the Mediterranean region.
引用
收藏
页数:15
相关论文
共 52 条
[1]  
Almeida F.M.N., 2009, THESIS U TECNICA LIS
[2]   Effect of preparation method on composition and NIR spectra of forage samples [J].
Alomar, D ;
Fuchslocher, R ;
de Pablo, M .
ANIMAL FEED SCIENCE AND TECHNOLOGY, 2003, 107 (1-4) :191-200
[3]   PREDICTION OF THE COMPOSITION OF FRESH PASTURES BY NEAR INFRARED REFLECTANCE OR INTERACTANCE-REFLECTANCE SPECTROSCOPY [J].
Alomar, Daniel ;
Fuchslocher, Rita ;
Cuevas, Jose ;
Mardones, Rodrigo ;
Cuevas, Emilio .
CHILEAN JOURNAL OF AGRICULTURAL RESEARCH, 2009, 69 (02) :198-206
[4]  
Association of Official Analytical Chemists (AOAC), 2005, Association of Official Analytical Chemists. Official Methods of Analysis, VVolume 2, DOI [10.1021/ac50052a726, DOI 10.1021/AC50052A726]
[5]   Development of NIRS models to predict protein and amylose content of brown rice and proximate compositions of rice bran [J].
Bagchi, Torit Baran ;
Sharma, Srigopal ;
Chattopadhyay, Krishnendu .
FOOD CHEMISTRY, 2016, 191 :21-27
[6]  
Batista T., 2017, LANDSC ECOL ENG, V44, P15
[7]   Principles and Applications of Miniaturized Near-Infrared (NIR) Spectrometers [J].
Bec, Krzysztof B. ;
Grabska, Justyna ;
Huck, Christian W. .
CHEMISTRY-A EUROPEAN JOURNAL, 2021, 27 (05) :1514-1532
[8]   The Use of Mobile Near-Infrared Spectroscopy for Real-Time Pasture Management [J].
Bell, Matt J. ;
Mereu, Luca ;
Davis, James .
FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2018, 2
[9]   Development of Canopy Reflectance Models to Predict Forage Quality of Legume-Grass Mixtures [J].
Biewer, Sonja ;
Fricke, Thomas ;
Wachendorf, Michael .
CROP SCIENCE, 2009, 49 (05) :1917-1926
[10]   Application of near-infrared handheld spectrometers to predict semolina quality [J].
Cecchini, Cristina ;
Antonucci, Francesca ;
Costa, Corrado ;
Marti, Alessandra ;
Menesatti, Paolo .
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2021, 101 (01) :151-157