Sunflower Modelling: A Review

摘要: Vegetable oils are a key component of human dietary need and health worldwide. Oil quality sunflower is better than all others because the higher percentage linoleic acid that most appropriate character missing in other oilseed crops. Changing climate extreme weather events making crop highly vulnerable threatening global food security. Application different models was evaluated to quantify genotypes selection, assessment phenotypic plasticity, physiology, estimation seed yield oil concentration response variability. The present study worldwide modelling performance, case SUNFLO hybrid technique assessed for model adaptation new under contrasting environment. Extended field experiment conducted at 52 locations (28 genotypes) 75% total cultivated region France. Compared initial experiential correlation decreased mean square error (MSE) on an average 54% production, 26% content concentration. also identified smart management practices performance concluded with utilization skills. Further research expresses thrust use system screening existing hybrids grounds their responses several growth parameters capacity rapidly changing climatic conditions. This will eventually minimize losses help increasing even limited resources. proposing clear optimization framework genetic diversity scenario.