Performance of near infrared spectroscopy of a solid cattle and poultry manure database depends on the sample preparation and regression method used

Goge Fabien, Thuriès Laurent, Fouad Youssef, Damay Nathalie, Davrieux Fabrice, Moussard Géraud Daniel, Le Roux Caroline, Trupin-Maudemain Séverine, Valé Matthieu, Morvan Thierry. 2021. Performance of near infrared spectroscopy of a solid cattle and poultry manure database depends on the sample preparation and regression method used. Journal of Near Infrared Spectroscopy, 29 (4) : 226-235.

Quartile : Q3, Sujet : CHEMISTRY, APPLIED / Quartile : Q3, Sujet : SPECTROSCOPY

Résumé : Determining the chemical composition of animal manure rapidly is essential to manage fertilisation and decrease environmental pollution. Near infrared (NIR) spectroscopy is a non-destructive, inexpensive and rapid method to determine several components of manure simultaneously. This study investigated the ability of NIR spectroscopy to analyse the dry matter, total and ammonium nitrogen, phosphorus, calcium, potassium and magnesium contents in a database of heterogeneous cattle and poultry solid manures. The accuracy of calibration models obtained from different sample preparation methods (dried ground vs. fresh homogenized) and multivariate regression methods (partial least squares (PLS) vs. local regression) were compared. The results showed that using local regression with NIR spectra of fresh homogenized manure could predict dry matter (R2=0.99, RMSEV = 1.64%, RPD = 13.31), total (R2=0.98, RMSEV = 0.16%, RPD = 7.11) and ammonium nitrogen (R2=0.97, RMSEV = 0.042%, RPD = 5.57) and phosphorus (R2=0.95, RMSEV = 0.10%, RPD = 5.56) contents accurately.

Mots-clés Agrovoc : fumier, engrais, spectroscopie infrarouge, composition chimique, teneur en matière sèche, substance nutritive, analyse de régression, échantillonnage

Mots-clés géographiques Agrovoc : France, La Réunion

Mots-clés libres : Fumier, SPIR, Azote, Near infrared spectroscopy, Poultry and cattle manure library, Sample preparation, Nutrient contents, Partial least square regression, Local regression

Classification Agris : F04 - Fertilisation
U50 - Sciences physiques et chimie

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Auteurs et affiliations

• Goge Fabien, INRAE (FRA) - auteur correspondant
• Thuriès Laurent, CIRAD-PERSYST-UPR Recyclage et risque (REU) ORCID: 0000-0002-1365-7891
• Fouad Youssef, INRAE (FRA) - auteur correspondant
• Damay Nathalie, LDAR (Aisne) (FRA)
• Davrieux Fabrice, CIRAD-PERSYST-UMR Qualisud (REU)
• Moussard Géraud Daniel, CIRAD-PERSYST-UPR Recyclage et risque (REU)
• Le Roux Caroline, LDAR (Aisne) (FRA)
• Trupin-Maudemain Séverine, ARVALIS Institut du végétal (FRA)
• Valé Matthieu, Auréa AgroScience (FRA)
• Morvan Thierry, INRAE (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/598176/)

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