A dataset of the chemical composition and near-infrared spectroscopy measurements of raw cattle, poultry and pig manure

International audienceOrganic waste products (OWPs) from livestock have a high fertilizer value (N, P, K), but can also lead to environmental problems when applied in excessive quantities. Because their composition varies greatly, it is important to develop fast, reliable and inexpensive methods for determining their chemical contents. Near-infrared spectroscopy (NIRS) offers the possibility of rapid analysis of samples and requires little sample preparation, and previous studies have demonstrated that NIRS could be able to determine the most important compositional parameters of solid animal manure. The recent development of low-cost miniaturized spectrometers even enables manure-spreading equipment to be equipped with sensors to measure the composition in real time, and some applications are already being commercialized for the spreading of liquid OWPs. In-situ analysis of these very heterogeneous products (roughness, humidity) is a challenge for such applications, because spectral acquisition must be performed on raw samples with no preparation. To evaluate the accuracy with which NIRS estimates dry matter content, organic matter, total and ammonium nitrogen, phosphorus, potassium, calcium and magnesium contents, we created a large calibration database representative of raw solid animal manures encountered in Brittany. A total of 490 samples of solid OWPs from livestock farms were collected in the early spring from 270 farms in Brittany (western France), in 2 campaigns conducted in 2018 and 2019. The sampling was designed to capture the large diversity of animal species (mainly cattle, pigs and poultry), type of farming and storage modes. Compositional parameters were analyzed according to analysis methods certified by the French standards organization (AFNOR). Samples were scanned using a Q-interline AgriQuant B8 equipped with a patented spiral sampler, which aggregates the heterogeneity of the sample. NIRS measurements were made in triplicate. Because the dataset covers a wide range of variability in the composition of solid animal manure, these data are of great interest to chemometrics experts and agronomists in search of references on the fertilizing value of products

Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure

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La composition des litières de poulet de chair évaluée par la spectroscopie proche infra-rouge. Principaux résultats issus d'un projet national

National audienceAu cours d'un projet notionol multi portenariol visont àmieux coroctériser les effluents d'élevoge en Fronce, il 0été testé 10 possibilité d'utiliser l'outil 'spectroscopie dons le proche infrarouge' (SPIR) pour occéder àleur composition. Dons cet orticle, nous ovons reporté les résultots dédiés oux litières de poulet de choir, collectées en métropole et à10 Réunion. Les échontillons ont été onolysés pour déterminer leurs teneurs en motière sèche (MS), ozote total (N) et ommonium (NNH4). Le respect de procédures de collecte, préporation, conservotion et onolyses, communes oux différents portenoires, 0 permis d'homogénéiser les réponses onolytiques. Après homogénéisotion des réponses spectrales des spectromètres utilisés (stondardisotion, suppression des interférences dues aux occessoires utilisés lors des possages des échantillons en SPIR),les modèles SPIR élaborés ont montré leur intérêt pour caractériser le potentiel ogronomique des litières àl'état frais. Parmi les principoux résultots, les modèles pour déterminer 10 teneur en motière sèche développés sur un spectromètre de loboratoire comme en bord de bâtiment ovec un spectromètre portoble sont oussi performonts que les anolyses de référence ou loboratoire et peuvent donc être tronsférés. D'autre port, le modèle développé ou laboratoire pour déterminer la teneur en azote des litières fraîches homogénéisées ou broyeur alimentaire semble une bonne olternotive oux onolyses de référence ; son écart-type résiduel de prédiction n'est que de deux àtrois fois plus élevé que celui observé par oilleurs pour des litières séchées et broyées finement. De plus, même réolisée sur un plus petit effectif, 10 caroctérisotion des litières àl'étot frais oprès une homogénéisotion monuelle en bord de bâtiment semble intéressonte. rensemble des modèles éloborés ou cours de cette étude représente une olternative aux onalyses de loboratoire généralement longues, chères et utilisant des produits souvent dongereux pour le monipuloteur et l'environnement. (Résumé d'auteur

Near infrared spectrometry to evaluate the feed value of forages

International audienceNear Infrared Spectrometry (NIRS) is used to evaluate the nutritional value of forages and even their feed value if applied to fresh material. Indeed, it allows to estimate the contents of nitrogenous matter, crude cellulose (or walls or ligno-cellulose), organic matter and dry matter as well as the cellulase digestibility. These data are used to predict the feed value of forages (Forage Units: FU, Digestible Protein in the Intestine: DPI, and Bulking Units: BU) using different regression models. The NIRS estimates are based on the establishment of a relationship between the values obtained by a reference method and the spectral absorbance data. A calibration base is thus built and must correspond to the diversity of the analyzed samples. For this, it is regularly completed by adding "atypical" points. An increasing diversity of forages is used in agriculture to cope with climatic hazards and the desire to reduce inputs. In particular, more and more species mixtures are used in different forms: green, hay or silage. This diversity requires the collection of absorption spectra and the chemical analysis of several hundred or even several thousand samples. Faced with these constraints, CIRAD and INRAE have chosen to pool their respective forage databases and thus benefit collectively from the diversity of each. This was possible thanks to a standardization of chemical reference analyses and absorbance spectra between laboratories. This method, non-destructive and inexpensive, tends towards an evolution of the devices which become miniaturized and allows an analysis in the farms. The advances in this field are discussed in this article

The use of near infrared spectroscopy (NIRS) to better assess livestock effluents composition. A national experience

International audienceA total of 202 cattle manure (CM), 165 poultry manure (PM), and 174 pig slurry (PS) samples were collected in France and Reunion Island' major livestock regions. Samples were analyzed for their dry matter (DM), total Nitrogen (N) and ammonium (NNH4) contents. After homogenization of the spectral responses (standardization, removal of interference due to sample holding devices) of the three NIR spectrometers, NIR models were shown to valuably characterize the agronomic potential of fresh manures. As an example, the standard error of the NIR model for N of PM fresh samples, was only twice to three-folds those reported for models developed with finely homogenized (ground, dried) samples. Even done on a small set, direct "on farm" characterization of PM with a portable apparatus after a rough homogenization of the samples showed promising performance. This can represent a valuable alternative to expensive and time-consuming reference methods in the laboratory. (Résumé d'auteur

Améliorer la prévision de la composition des principaux effluents d'élevage en France par l'utilisation de la SPIR ; standardiser pour partager

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