Regulation of terpene production in methyl jasmonate treated cell-cultures

In recent years, the application of plant protection unmanned aerial vehicle (UAV) in agricultural pest control has become more and more popular. However, there are few reports about the application of plant protection UAV for wine grapes, and there are no studies comparing the spraying effect of plant protection UAV with that of manual operation in vineyards. In this context, the objective of this study was to explore the feasibility of using plant protection UAV in vineyards instead of manual operations by evaluating the effectiveness of UAV spray in two common grape training systems in Northeast China.

Grapevine yield is a key indicator to assess the impacts of climate change and the relevance of adaptation strategies in a vineyard landscape. At this scale, a yield model should use a number of parameters and input data in relation to the information available and be able to reproduce vineyard management decisions (e.g. soil and canopy management, irrigation). In this study, we used data from six experimental sites in Southern France (cv. Syrah) to calibrate a model of grapevine yield limited by water constraint (GraY). Each yield component (bud fertility, number of berries per bunch, berry weight) was calculated as a function of the soil water availability simulated by the WaLIS water balance model at critical phenological phases. The model was then evaluated in 10 grapegrowers’ plots, covering a diversity of biophysical and technical contexts (soil type, canopy size, irrigation, cover crop). We identified three critical periods for yield formation: after flowering on the previous year for the number of bunches and berries, around pre-veraison and post-veraison of the same year for mean berry weight. Yields were simulated with a model efficiency (EF) of 0.62 (NRMSE = 0.28). Bud fertility and number of berries per bunch were more accurately simulated (EF = 0.90 and 0.77, NRMSE = 0.06 and 0.10, respectively) than berry weight (EF = -0.31, NRMSE = 0.17). Model efficiency on the on-farm plots reached 0.71 (NRMSE = 0.37) simulating yields from 1 to 8 kg/plant. The GraY model is an original model estimating grapevine yield evolution on the basis of water availability under future climatic conditions.  It allows to evaluate the effects of various adaptation levers such as planting density, cover crop management, fruit/leaf ratio, shading and irrigation, in various production contexts.

Context and purpose of the study. As other perennial crops grapevine is facing the challenges of climate changes. One of the major issues is global warming and variations of the water budget.

“Terroir” has been acknowledged as an important factor in wine quality
and style. It can be defined as an interaction between climate, soil, vine (cultivar, rootstock) and human
factors such as viticultural and enological techniques. Soil and climate are the two components of the “Terroir” with an important role on the vine development and berries ripening. The present study is focused on the effects of the weather conditions and the soil characteristics on the phenological and berries ripening dynamics of the “Touriga Nacional” in Dão region.

Si on part de l’introduction que l’activité vitivinicole maintenant plus que jamais doit être une activité d’entreprenariat introduite de mieux en mieux sur le territoire et donc effectuée pour rendre maximal le Profit