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Recent applications of multispectral imaging in seed phenotyping and quality monitoring—An overview
No full textAs a synergistic integration between spectroscopy and imaging technologies, spectral imaging modalities have been emerged to tackle quality evaluation dilemmas by proposing different designs with effective and practical applications in food and agriculture. With the advantage of acquiring spatio-spectral data across a wide range of the electromagnetic spectrum, the state-of-the-art multispectral imaging in tandem with different multivariate chemometric analysis scenarios has been successfully implemented not only for food quality and safety control purposes, but also in dealing with critical research challenges in seed science and technology. This paper will shed some light on the fundamental configuration of the systems and give a birds-eye view of all recent approaches in the acquisition, processing and reproduction of multispectral images for various applications in seed quality assessment and seed phenotyping issues. This review article continues from where earlier review papers stopped but it only focused on fully-operated multispectral imaging systems for quality assessment of different sorts of seeds. Thence, the review comprehensively highlights research attempts devoted to real implementations of only fully-operated multispectral imaging systems and does not consider those ones that just utilized some key wavelengths extracted from hyperspectral data analyses without building independent multispectral imaging systems. This makes this article the first attempt in briefing all published papers in multispectral imaging applications in seed phenotyping and quality monitoring by providing some examples and research results in characterizing physicochemical quality traits, predicting physiological parameters, detection of defect, pest infestation and seed health
NativIF: Conception of an infant formula by filtration : nutritional ,physiological and sensory impacts
No full textMites associated with egg masses of the viburnum leaf beetle Pyrrhalta viburni Paykull) on Viburnum tinus L.
No full textThe viburnum leaf beetle Pyrrhalta viburni (Coleoptera: Cluysomelidae) is a specialist Viburnum leaf-feeder that is native to Eurasia and invasive in North America. Eggs of P. viburni arc laid in round cavities excavated by the ovipositing female beetle and covered with a protective secretion. We document in this paper the mite fauna associated with P vihurni egg masses on Viburnum tinus in southern France. We then report the results of experiments investigating the seasonal patterns of mite infestation and the effects of the most common mite found within egg masses, Trichoribates trimaculatus (Oribatida: Ceratozetidae), on P vihurni egg survivorship. A diverse mite fauna of 18 species was found on V. tinus twigs, often living within P. vihurni egg masses, including predaceous, phytophagous, and detritivorous species. Mite abundance and diversity were higher on Viburnum twigs containing at least one intact egg mass and were positively correlated with the number of intact egg masses per twig. Detritivorous mites were more abundant on twigs nine months after oviposition than one and four months after oviposition. Finally, we found no evidence that T. trimaculatus impacts P. viburni egg survivorship and overwintering success. These findings show that P. viburni egg masses and their associated cavities form a microhabitat favorable for the establishment of several mite species. It seems likely that these associations are cases of commensalism where mites benefit from the presence of food and shelter in these protected cavities, with no direct negative impact on P. viburni eggs
Participatory Modeling and Simulation with the GAMA Platform
No full textIn recent years, agent-based simulation has become an important tool to study complex systems. However, the models produced are rarely used for decision-making support because stakeholders are often not involved in the modeling and simulation processes. Indeed, if several tools dedicated to participatory modeling and simulation exist, they are limited to the design of simple - KISS - models, which limit their potential impact. In this article, we present the participatory tools integrated within the GAMA modeling and simulation platform. These tools, which take advantage of the GAMA platform concerning the definition of rich - KIDS - models, allows to build models graphically and develop distributed serious games in a simple way. Several application examples illustrate their use and potential
Modèle mécaniste de l’utilisation métabolique du phosphore et du calcium alimentaires et de la dynamique de dépôt des cendres corporelles : version 2.0
No full textL’alimentation de précision permet de diminuer les impacts environnementaux des systèmes d’alimentation actuels, mais nécessite l’estimation précise des besoins de phosphore (P) et de calcium (Ca). L’objectif est d’adapter un modèle mécaniste récemment développé portant sur l’utilisation du P et du Ca alimentaires, à l’alimentation de précision. Une première étape a consisté à modifier le potentiel de dépôt de P et Ca dans l’os pour le rendre indépendant du dépôt protéique. Ceci a été réalisé à partir de résultats récents obtenus sur des porcs nourris avec des excès de P et Ca. Ensuite, des données de composition corporelle de porcs recevant des apports de Ca et P contrastés (rations couvrant ou non les besoins et dont l’apport de Ca et de P est déséquilibré ou non) ont été utilisées pour estimer la capacité de prédiction du modèle par l’erreur quadratique moyenne de prédiction (EMP) et sa décomposition en erreur de tendance centrale (ETC), de régression (ER) et de bruit (EB). Les résultats montrent une prédiction globale qui est très bonne avec des EMP de moins de 9% provenant à plus de 70% d’EB, donc non liées aux paramètres du modèle. Lorsque la qualité de prédiction est étudiée par groupes d’apport (témoins, carencés, stratégies de déplétion-réplétions), les témoins présentent une ETC plus élevée (P : ETC = 30%, ER = 0%, EB = 70% ; Ca : ETC = 22%, ER = 2%, EB = 76%) montrant que le modèle sous-estime le Ca et P corporels (pente = 0,99 et 0,98 respectivement). Pour les porcs carencés, l’ER est plus élevée (P : ETC = 6%, ER = 11%, EB = 83% ; Ca : ETC = 51%, ER = 23%, EB = 26%) mettant en évidence que le modèle surestime la teneur corporelle en P et Ca des porcs en phase de finition. Des pistes d’amélioration ont été proposées pour améliorer sa prédiction sur ses points faibles avant de passer à l’étape de l’inversion pour prédire les besoins de porcs en groupe puis ceux d'animaux alimentés individuellement de façon journalière.Precision feeding reduces environmental impacts of current phase-feeding systems but requires an accurate estimate of phosphorus (P) and calcium (Ca) requirements. The aim is to adjust to precision feeding a mechanistic model recently developed to predict the fate of dietary P and Ca. The first step was to modify the model’s potential Ca and P deposition into bone to make it independent of protein deposition. This was done by using recent results for pigs fed excess P and Ca. Then, body composition data from pigs receiving contrasting Ca and P supplies were used to evaluate the predictive ability of the model. Mean squared prediction error (MSPE) and its decomposition into central tendency error (ECT), regression (ER) and disturbance (ED) were calculated. The results show good prediction overall, with MSPE less than 9% from more than 70% of ED not related to model parameters. For predictive ability by contribution group, control pigs have higher ECT (P: ECT = 30%, ER = 0%, ED = 70%; Ca: ECT = 22%, ER = 2 %, ED = 76%), showing that the model underestimates requirements (slope = 0.99). For pigs fed deficient dietary Ca and P diets, higher ER was observed (P: ETC = 6%, ER = 11%, ED = 83%; Ca: ECT = 51%, ER = 23%, ED = 26%), showing that the model overestimates requirements in the finishing phase. Areas for improvement have been identified, and in the next steps the model will be modified to improve its prediction of its weak points before moving to the inversion stage to predict requirements of pigs fed on group basis and then on an individually basis
