CETIOM - Centre Technique Interprofessionnel des oléagineux et du chanvre
Prestataire R&D privé Contact |
||
|
Téléphone : + 00 33 (0)1 30 79 95 00
Mail :
Adresse :
Centre de Grignon
Avenue Lucien Brétignières
78850 Thiverval-Grignon
France
Web : http://www.cetiom.fr
|
||
|
Consultez cette fiche en intégralité ? |
||
|
Consultez cette fiche et près de 50 000 autres fiches de Centres de Recherche dans plus de 30 pays européens sur Expernova.com !
Inscrivez-vous ou contactez-nous pour une démonstration personnalisée.
Il s’agit de votre centre de Recherche ? Inscrivez-vous gratuitement et complétez vos informations. |
||
|
Description
(Extrait du site web) |
||
|
Les activités du CETIOM
Le CETIOM est le partenaire des producteurs d'oléagineux et de chanvre, et de leurs organisations professionnelles avec lesquels il prépare les innovations techniques de demain. Son premier objectif est d'améliorer la compétitivité économique des cultures oléagineuses et du chanvre dans le cadre d'une production durable, à toutes les étapes de la filière, depuis la production jusqu'à l'utilisation des produits transformés. Sur le terrain, il accompagne les organismes concernés par le développement des oléagineux et du chanvre industriel grâce à son réseau d'expérimentation et d'experts. Il s'attache également à maintenir des relations permanentes avec la recherche, et avec les industriels de l'agrofourniture et de la transformation. Moyens mobilisés Le CETIOM compte environ 115 salariés permanents répartis sur toute la France, dont 70 % d'ingénieurs et de techniciens. Ses recherches balaient tous les domaines susceptibles d'améliorer la production, la qualité et les débouchés des oléagineux et du chanvre industriel. Ces recherches s'appuient sur : ? 9 stations et unités d'expérimentation ? un pôle technique de spécialistes basé à Grignon ? un site spécialisé dans la valorisation et la transformation des graines à Pessac (33) ? un laboratoire d'analyses des graines à Ardon (45) ? un laboratoire d'entomologie, de pathologie et de biologie moléculaire à Grignon ? 12 bureaux régionaux de développement qui assurent sur le terrain le diagnostic et l'appui aux producteurs |
||
|
|
||
|
|
||
|
Profil scientifique partiel |
||
|
|
||
|
Domaines étudiés partiels
|
||
|
|
||
|
Quelques documents de Centre Technique Interprofessionnel des oléagineux et du chanvre
|
||
|
Comparing actual dispersal in expanding population of Pinus sylvestris and Pinus nigra in calcareous grassland
Auteurs :
J. Chadoeuf, Sandrine S. Debain, Georges G. Kunstler, Thomas T. Kurt et Jacques Lepart
Masquer le résumé
A good prediction of plant invasions requires the estimation of population parameters and dispersal in populations with low density, expanding. We used inverse modelling the spatial distribution of seedlings to estimate the rate of reproduction and dispersal of tree settings in an Aboriginal population of Pinus sylvestris l. and Pinus nigra Arnold (non-Aboriginal) expanding on the Causse Méjean, in the South of the France. The objective was to compare the capacity expansion of these two species on limestone slightly grazed lawns. Four empirical dispersion models were compared. The discreet mixed model correctly describes the distribution of seedlings while other models underestimate the tail of the dispersion curve. However, the differences between the model predictions remain low. All models show distinct differences between P. sylvestris and P. nigra, the latter species having a higher fertility rate and a better effective dispersion. These results of recruitment of seedlings in addition four years predicted a higher rate of expansion for non-native pine (P. nigra) for the indigenous pine (P. sylvestris). Our results suggest that P. nigra could spread quickly in the calcareous grasslands slightly grazed over the coming decades.Accurate predictions about plant invasions require estimates of demographic and dispersal parameters in low-density, expanding populations. We used inverse modelling on the spatial distribution of seedlings to estimate the effective reproductive rate and dispersal parameters in expanding populations of native Pinus sylvestris l. non-native and Pinus nigra Arnold in the Causse Méjean, southern France. The objective was to compare the ability of these two species to hilss these calcareous grasslands. Four empirical models of dispersal were compared. The mixed discrete dispersal kernels had the best fit (lower Aikake information criterion), whereas other candidate models underestimated the tail of the dispersal curve. However, the alternative functions performed quite similarly. The models showed clear differences between P.sylvestris and P. nigra, with the latter species having a higher net reproductive rate and higher effective dispersal. Our results based on the actual dispersal of seedlings over 4years of age predict a faster spread rate for the non-native P. nigra compared with native P. sylvestris. Our results suggest that P. nigra may expand rapidly into the Causse Méjean grasslands in the forthcoming decades.
Keywords :
PINUS NIGRA; SPATIAL DISTRIBUTION; LONG-DISTANCE DISPERSAL; FOREST TREE; SEED; PATTERN; WIND; POPULATION; PLANT INVASION; GROUND LIMESTONE
Source :
ProdINRA
Comparing actual dispersal in expanding population of Pinus sylvestris and Pinus nigra in calcareous grassland
Auteurs :
J. Chadoeuf, Sandrine S. Debain, Georges G. Kunstler, Thomas T. Kurt et Jacques Lepart
Masquer le résumé
A good prediction of plant invasions requires the estimation of population parameters and dispersal in populations with low density, expanding. We used inverse modelling the spatial distribution of seedlings to estimate the rate of reproduction and dispersal of tree settings in an Aboriginal population of Pinus sylvestris l. and Pinus nigra Arnold (non-Aboriginal) expanding on the Causse Méjean, in the South of the France. The objective was to compare the capacity expansion of these two species on limestone slightly grazed lawns. Four empirical dispersion models were compared. The discreet mixed model correctly describes the distribution of seedlings while other models underestimate the tail of the dispersion curve. However, the differences between the model predictions remain low. All models show distinct differences between P. sylvestris and P. nigra, the latter species having a higher fertility rate and a better effective dispersion. These results of recruitment of seedlings in addition four years predicted a higher rate of expansion for non-native pine (P. nigra) for the indigenous pine (P. sylvestris). Our results suggest that P. nigra could spread quickly in the calcareous grasslands slightly grazed over the coming decades.Accurate predictions about plant invasions require estimates of demographic and dispersal parameters in low-density, expanding populations. We used inverse modelling on the spatial distribution of seedlings to estimate the effective reproductive rate and dispersal parameters in expanding populations of native Pinus sylvestris l. non-native and Pinus nigra Arnold in the Causse Méjean, southern France. The objective was to compare the ability of these two species to hilss these calcareous grasslands. Four empirical models of dispersal were compared. The mixed discrete dispersal kernels had the best fit (lower Aikake information criterion), whereas other candidate models underestimated the tail of the dispersal curve. However, the alternative functions performed quite similarly. The models showed clear differences between P.sylvestris and P. nigra, with the latter species having a higher net reproductive rate and higher effective dispersal. Our results based on the actual dispersal of seedlings over 4years of age predict a faster spread rate for the non-native P. nigra compared with native P. sylvestris. Our results suggest that P. nigra may expand rapidly into the Causse Méjean grasslands in the forthcoming decades.
Keywords :
PINUS NIGRA; SPATIAL DISTRIBUTION; LONG-DISTANCE DISPERSAL; FOREST TREE; SEED; PATTERN; WIND; POPULATION; PLANT INVASION; GROUND LIMESTONE
Source :
ProdINRA
Time scales as a factor in decision-making by French farmers on weed management in annual crops
Auteurs :
Karen K. Mace, Pierre P. Morlon, Nicolas N. Munier Jolain et Lionel L. Quéré
Masquer le résumé
The aim of this research was to improve the advice given by extension institutions to French farmers and to develop a Decision Support System (DSS) for weed control that would match the practical approach adopted by farmers. Farmers running 15 farms with different farming systems in different regions completed comprehensive interviews which allowed them to explain how they deal with weeds. We built temporal diagrams for crop management sequences and decision making. This paper describes the basic framework common to all the farmers interviewed. Each farmer employed pre-established weed control programmes. When designing these programmes, farmers integrated different time scales: the current year, the rotation, and the long term. In the short term, they considered the risks of yield losses and/or lower harvest quality plus harvesting difficulties. In the medium term, they anticipated the risk of finding a weed species in another crop of the rotation where control would be difficult or costly, weighing the risks of yield loss against the cost and effectiveness of solutions, not only in the current crop but also in subsequent crops, so that once again, the rotation was the central focus of weed control. In the long term, their main aim was to limit the soil seed bank to an acceptable level. The farmers interviewed stated that they would continue to implement a weed control programme that they deemed satisfactory as long as no new problem appeared, and until they could learn about more effective technical solutions. When designing a DSS that will ensure successful, more sustainable weed management practices, it is crucial to take account of both the complexity of the decision-making process and the multicriteria nature of decision making.
Keywords :
WEED CONTROL ; DECISION PROCESS ; DECISION SUPPORT SYSTEM ; ROUTINE ; EXPERIENTIAL LEARNING ; CROP ROTATION ; TIME SCALE ; INTEGRATED CROP PROTECTION
Source :
ProdINRA
A review of Brassicas allelopathic effects through their interaction with soil borne pathogens and mycorrhizas.- Part 1
Auteurs :
Jean-Marie Bodet, Jean-Paul Bordes, Thierry Dore, Sabah Ennaifar, Anne Moussart, Bernard Nicolardot, Sylvain Pellerin, Christian Plenchette, A. Quinsac, Raymond Reau, Christophe Sausse, Bernard Seguin et Bernard Tivoli
Pas de résumé disponible
Source :
INIST
Prospective future oil crop competitiveness
Isolation and identification of the most efficient plant growth-promoting bacteria associated with canola (Brassica napus)
Auteurs :
René Bally, H. Bertrand, H. Bertrand, J.C. Cleyet-Marel et R. Nalin
Pas de résumé disponible
Source :
INIST
Nezara viridula and soya crops in France
|
||
