introduction determining the proper time for planting under different climate depends on the factors such as rainfall, temperature and length of day which are the most important aspects of crop production. its importance is because of the severity of these effects on different genotypes to achieve potential production. because different genotypes respond differently to planting delays. sowing d...

Different responses of plant genotypes to the change of environmental conditions have been the most important and challenging issue for plant breeders and agronomists for the selection of superior genotypes. Cumin is one of the most important medicinal and aromatic plants in Iran that are strongly affected by varying environmental conditions. This study was aimed to investigate E×SD interaction...

This paper describes a method of integrating remotely sensed data (the MODIS LAI product) with an ecosystem model (the spatial EPIC model) to estimate crop yield in North China. The traditional productivity simulations based on crop models are normally sitespecific. To simulate regional crop productivity, the spatial crop model is developed firstly in this study by integrating Geographical Info...

in order to determine the optimum sowing and harvesting dates of two autumn sugar beet cultivars (bete vulgaris l.) and develop the planting area of this crop, the present research was conducted in fasa, iran during 2005-2008. the experiment was carried out in split-split plots based on randomized complete block design (rcbd) with four replications. three sowing dates (september 27, october 17 ...

in order to evaluate the response of russian knapweed seeds to cardinal temperatures a factorial experiment was conducted base on completely randomized design with 3 replications. russian knapweed seeds (collected from irrigated and rainfed wheat fields), and germination temperatures (constant temperatures of 10, 15, 20, 25, 30 and 35° c) were used as first and second levels of the experiment. ...

sowing date and irrigation are two constrain factors for maize production. these factors can be simulated by using ceres-maize model. for this purpose two experiments (each one at two years) were carried out at agricultural research station of gorgan which is golestan province capital. the model was calibrated using three treatments of optimum irrigation and without stress in 2012 and two treat...

This paper estimates optimal hedging ratios for a Finnish spring wheat producer under price and yield uncertainty. The contract available for hedging fixes the price and quantity at the time of sowing for a delivery at harvest. Autoregressive models are used to obtain point forecasts for the conditional mean price and price volatility at harvest. Expected yield and yield volatility are estimate...