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Key aspects on the biology, ecology and impacts of johnsongrass [Sorghum halepense (L.) Pers] and the role of glyphosate and non-chemical alternative practices for the management of this weed in europe / Ilias S. Travlos in Agronomy, 9 (2019) 

Public Citation [article]  inAgronomy > 9 (2019) . - 717 Titre : Key aspects on the biology, ecology and impacts of johnsongrass [Sorghum halepense (L.) Pers] and the role of glyphosate and non-chemical alternative practices for the management of this weed in europe Type de document : Imprimé Auteurs : Ilias S. Travlos ; Jose M. Montull ; Gabor Kukorelli ; Goran Malidza ; Mehmet N. Dogan ; Nikolina Cheimona ; Nikolaos Antonopoulos ; Panagiotis J. Kanatas ; Stavros Zannopoulos ; Gerasimov Peteinatos Année de publication : 2019 Article en page(s) : 717 Langues : Français (fre) Catégories : [CBNPMP-Thématique] Plantes subspontanées, naturalisées, envahissantes Mots-clés : Sorghum halepense Résumé : Sorghum halepense (L.) Pers is a common and noxious worldwide weed of increasing distribution in many European countries. In the present review, information on the biology, ecology, agricultural, economic and environmental impact of johnsongrass is given, and the current status of this weed in Europe is discussed. Furthermore, special attention is given to the important role of field trials using glyphosate to control weeds in arable and perennial crops in many European countries. Some of the factors which affect control efficacy and should be taken into account are also discussed. Finally, several non-chemical alternative methods (cultural, mechanical, thermal, biological, etc.) for johnsongrass management are also presented. The adoption of integrated weed management (IWM) techniques such as glyphosate use, crop rotation, and deep tillage is strongly recommended to control plant species that originate from both seed and rhizomes. Lien pérenne : DOI : 10.3390/agronomy9110717 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=151163 Travlos, Ilias S., Montull, Jose M., Kukorelli, Gabor, Malidza, Goran, Dogan, Mehmet N., Cheimona, Nikolina, Antonopoulos, Nikolaos, Kanatas, Panagiotis J., Zannopoulos, Stavros, Peteinatos, Gerasimov 2019 Key aspects on the biology, ecology and impacts of johnsongrass [Sorghum halepense (L.) Pers] and the role of glyphosate and non-chemical alternative practices for the management of this weed in europe. Agronomy, 9: 717.

Documents numériques

Consultable Article (2019) URL

Biomass prediction of heterogeneous temperate grasslands using an sfm approach based on UAV imaging / Esther Grüner in Agronomy, 9 (2019) 

Public Citation [article]  inAgronomy > 9 (2019) . - 54 Titre : Biomass prediction of heterogeneous temperate grasslands using an sfm approach based on UAV imaging Type de document : Imprimé Auteurs : Esther Grüner ; Thomas Astor ; Michael Wachendorf Année de publication : 2019 Article en page(s) : 54 Langues : Français (fre) Catégories : [CBNPMP-Thématique] Télédétection Résumé : An early and precise yield estimation in intensive managed grassland is mandatory for economic management decisions. RGB (red, green, blue) cameras attached on an unmanned aerial vehicle (UAV) represent a promising non-destructive technology for the assessment of crop traits especially in large and remote areas. Photogrammetric structure from motion (SfM) processing of the UAV-based images into point clouds can be used to generate 3D spatial information about the canopy height (CH). The aim of this study was the development of prediction models for dry matter yield (DMY) in temperate grassland based on CH data generated by UAV RGB imagingover a whole growing season including four cuts. The multi-temporal study compared the remote sensing technique with two conventional methods, i.e., destructive biomass sampling and ruler height measurements in two legume-grass mixtures with red clover (Trifolium pratense L.) and lucerne (Medicago sativa L.) in combination with Italian ryegrass (Lolium multiflorum Lam.). To cover the full range of legume contribution occurring in a practical grassland, pure stands of legumes and grasses contained in each mixture were also investigated. The results showed, that yield prediction by SfM-based UAV RGB imaging provided similar accuracies across all treatments (R2 = 0.59–0.81) as the ruler height measurements (R2 = 0.58–0.78). Furthermore, results of yield prediction by UAV RGB imaging demonstrated an improved robustness when an increased CH variability occurred due to extreme weather conditions. It became apparent that morphological characteristics of clover-based canopies (R2 = 0.75) allow a better remotely sensed prediction of total annual yield than for lucerne-grass mixtures (R2 = 0.64), and that these crop-specific models cannot be easily transferred to other grassland types. Lien pérenne : DOI : 10.3390/agronomy9020054 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=151689 Grüner, Esther, Astor, Thomas, Wachendorf, Michael 2019 Biomass prediction of heterogeneous temperate grasslands using an sfm approach based on UAV imaging. Agronomy, 9: 54.

Documents numériques

Consultable Article (2019) URL