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21 to 30 of 42 Results
Mar 31, 2020 - Simulations 1348
Davoudkhani, Mohsen, 2020, "Economic optimization of feeding and shipping strategies in pig-fattening using an individual-based model", https://doi.org/10.15454/OWJJUU, Portail Data INRAE, V1, UNF:6:u2o02jBTENzyl0tn758TJg== [fileUNF]
Economic results of pig-fattening systems vary greatly and depend in part on prices of pork and feeds, as well as pig growth performance (e.g. slaughter weight, lean percentage). Previous studies revealed that feeding and shipping strategies are critical factors in the economic o...
Apr 7, 2020
Jaeger, Christophe, 2020, "Biological and physico-chemical dataset from different freshwater fishponds systems in IMTA", https://doi.org/10.15454/PTXLHE, Portail Data INRAE, V1, UNF:6:l0SQY7eKa/ebgEllg1D51w== [fileUNF]
The data were collected from experimental freshwater fishpond systems (semi-intensive coupled with lagoon, semi-intensive and extensive). The dataset presented is composed of: 1. Individual fish parameters (live weight, length at fork, Fulton’s condition factor (K)), at stocking...
May 15, 2020
Chabert, Ariane; Marchand, Damien; Sarthou, Jean-Pierre, 2019, "Data from extensive comparative measurements of conventional, conservation and organic agricultures in Southwestern France", https://doi.org/10.15454/KEW1GK, Portail Data INRAE, V4, UNF:6:p5Dluu6TBsiRLpQiObqmOw== [fileUNF]
Observational and experimental data of crop pests, crop pest natural enemies, soil sensitivity to erosion, crop productivity, pathogenic fungal infection and root colonization by mycorrhiza in conventional, conservation and organic agricultures near Toulouse, France.
May 19, 2020
Constantin, Julie; Le Bas, Christine; Mignolet, Catherine; Beaudoin, Nicolas; Bertuzzi, Patrick; Dürr, Carolyne; Mary, Bruno; Ruiz, Laurent; Tournebize, Julien; Rechauchère, Olivier; Justes, Eric, 2020, "Réduire les fuites de nitrate au moyen de cultures intermédiaires", https://doi.org/10.15454/3T24RE, Portail Data INRAE, V1, UNF:6:6IIVbcJIwM3NWoBI7osVLA== [fileUNF]
En application de la directive Nitrate et en réponse aux conclusions du Grenelle de l'Environnement, la généralisation de la couverture automnale des sols dans l'ensemble des "zones vulnérables" était prévue pour fin 2012. Il s'agit d'implanter une culture dite "intermédiaire" ap...
Unité Expérimentale Horticole logo
Jun 17, 2020
L’Unité Expérimentale Horticole (UE Horti) du centre INRAE des Pays de la Loire se situe au cœur du troisième bassin français de production de pommes et de poires, et au cœur du plus grand bassin français de production horticole d'ornement. Elle est implantée sur les sites d’Ange...
Fruit tree phenology(INRAE - Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Jun 17, 2020Unité Expérimentale Horticole
This Dataverse is composed both of phenological data of 5 species of fruit trees (apple, pear, cherry, peach and apricot) present on the Horticulture Experimental Facility, as well as meteorological data.
Fourrages ligneux logo
Jun 23, 2020
Ce dataverse a pour vocation de rassembler les résultats des travaux réalisés sur les fourrages ligneux (arbres, arbustes ou lianes fourragères), qu’ils concernent leur valeur nutritive, la quantité de biomasse produite ou ingérée ou bien le comportement des animaux. This dataver...
valeur nutritive(INRA - Institut National de la Recherche Agronomique)
Jun 23, 2020Fourrages ligneux
Ce dataverse a pour vocation de rassembler les résultats des travaux réalisés sur la valeur nutritive des fourrages ligneux (arbres, arbustes ou lianes fourragères). This dataverse aims to gather results from studies realised on the nutritive value of fodder trees, shrubs or lian...
Jul 1, 2020 - valeur nutritive
Novak, Sandra, 2020, "Données article Fourrages "Novak et al. 2020"", https://doi.org/10.15454/QLE7EA, Portail Data INRAE, V2
Ce jeu de données est constitué des valeurs de compositions chimiques des feuilles de 31 espèces d’arbre, 14 espèces d’arbuste et 7 espèces de liane, ainsi que de 8 espèces herbacées prélevées au mois d’août des années 2014 à 2017 dans différentes régions de France. Ces données o...
Jul 10, 2020 - Portail Data INRAE
Galland, Victor; Avadí, Angel; Bockstaller, Christian; Paillat, Jean-Marie, 2020, "Data to inform the modelling of direct nitrogen field emissions from global agriculture", https://doi.org/10.15454/RM6TYY, Portail Data INRAE, V1
To inform the parameterisation of the Indigo-N v.3 nitrogen direct field emissions estimation model, published as “Indigo-N v.3, a semi-mechanistic operational model for direct field N emissions in LCA of cropping systems under contrasting agricultural situations” [1], we compile...
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