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Background: This study was conducted during the 2020/2021 cropping season at Setif Agricultural Experimental Station, it aims to assess the efficiency of using numerical image analysis (NIA) in the selection of durum wheat genotypes in semi-arid areas. Methods: The genetic materials used in this study consist of 11 advanced lines and 4 genotypes of which 3 are local landraces used as control to evaluate their performance, the genotypes tested were sown in a randomized block design (RDB) with three replications. each plot consisted of 6 lines of 10 m long spaced of 0.2 m witdth makes 12 m2 as plot area.Result: Analysis of variance showed that all the parameters measured numerically (senescence and total reflectance) had a very high genotypic significance. The chlorophyll content at full heading showed a very highly significant genotypic effect. Thousand kernels weight, number of spikes per meter square, number of days to heading and plant height had a significant genotypic effect. The correlation study showed that all senescence parameters were significantly correlated. A significant and negative correlation was observed between chlorophyll contents; average of velocity and total reflectance. Grain yield was highly and significantly correlated with thousand kernels weight and number of spikes per meter square. Number of spikes per meter square was significantly and positively correlated with average of velocity and negatively correlated with sum of temperatures at mid-senescence. Number of days to heading was significantly and negatively correlated with senescence average and maximum of senescence average. A significant correlation was observed between plant height and sum of temperatures at mid-senescence.

agricutural science digest/agricultural science digest

Efficiency of Numerical Images Analysis in Selection of Durum Wheat [Triticum turgidum (L.) ssp. durum (Desf.) Husn.] Genotypes Growing under Semi-arid Conditions in Algeria