Evaluation of Image-Based Phenotyping Methods for Measuring Water Yam (Dioscorea alata L.) Growth and Nitrogen Nutritional Status under Greenhouse and Field Conditions

New management practices must be developed to improve yam productivity. By allowing non-destructive analyses of important plant traits, image-based phenotyping techniques could help developing such practices. Our objective was determine the potential methods assess traits relevant for tuber yield formation in grown glasshouse and field. We took leaf pictures with consumer cameras. used numbers image pixels derive shoot biomass total surface calculated ‘triangular greenness index’ (TGI) which is an indicator chlorophyll content. Under conditions, number obtained from nadir view (view top) positively correlated biomass, surface, while TGI negatively SPAD values nitrogen (N) content diagnostic leaves. Pictures taken field showed increase soil cover a decrease time. measured on leaves but not N In conclusion, these deliver results need further validated application yam.