The aim of this study was to test the behavior of 5 genotypes cultivated in normal and irrigated conditions with regard to drought stress. We used seven indices of tolerance and resistance to drought stress. Analyze of variance showed that the geometric mean productivity, mean productivity, stress tolerance index, yield stability index, stress sensitivity tolerance and tolerance intensity were effective in judging tolerance to water stress, Boussellem and Oum Rabie was the best at water stress resistance genotypes. Correlation analysis showed that GMP is both an indicator of high performance under both conditions and of resistance to stress (r=0.56* in a stress state and r=0.82*** in a non-stress state) . Boussellem and Oum Rabie were the strongest in yield and the most adapted to water stress thanks to their values ​​for this index (8.84 and 9.06 respectively). SSI testified to the high yield in non-stress condition (r=0.82***), therefore Ofanto was a good cultivar in non-stess condition. PCA classified the genotypes Bousselem and Oum Rabie on the first component which combined the performance in yield under both conditions with the mean productivity, geometric mean productivity, and stress tolerance index. In conclusion, the Oum Rabie and Bousselem genotypes were the best performing under both conditions and the best adapted to drought stress, while Ofanto was a good cultivar in non-stress conditions. MP, GMP and STI indices was the best to judge the adaptability of our genotypes to drought stress.

Abstract. The present study was carried out to select adapted and stable durum wheat (Triticum durum Desf.) genotypes for grain yield and thousand kernel weight using various stability parameters. Based on the graphical distributions between the parametric indices (Wricke’s ecovalence stability index (Wi²), environmental coefficient of variance (CVi), mean variance component (θᵢ)) and the mean grain yield of tested genotypes, the suitable genotype for the tested conditions was Mexicali 75. Further, the cultivars Oued Zenati and Bousselem were the most adapted with the highest TKW. With non-parametric index was classified genotype Mexicali 75 as the most stable with high grain yield. According to PCA analysis the genotype Altar 84 was classified in dynamic stability group with the highest grain yield in addition, cultivars Bousselem and Oued Zenati were classified in dynamic concept with the highest thousand kernel weight. The results of this study confirmed that the parametric and non-parametric methods are the suitable tools to identify the most stable durum wheat (Triticum durum Desf.) under semi-arid conditions.

This experiment was carried out at Setif Agricultural Experimental Station in Algeria during  2017–2018 crop season using five cultivars (Triticum durum Desf.) to determine differences in the relationship between (CT and drought resistance indices values based on their difference in yielding under irrigated and non-irrigated conditions and sown in a random block design with three replications. Our study aim to determine differences in the relationship between CT and drought resistance indices values and grain yield GY under both conditions to evaluate the effect of canopy temperature in drought tolerance of durum wheat. Five durum wheat (Triticum durum Desf.) genotypes were studied based on their difference in yielding under irrigated and non-irrigated conditions in conception of a random block design with three replications. The following measurements were applied: GY, CT canopy cover temperature depression CTD and seven drought tolerance indices (HM-SSI-GMP-STI-YSI-MP-TOL). ANOVA showed that genotype effect and irrigation regime effect were highly and significantly on CT and CTD under both stressed (s) and watered (i) conditions. The interaction Genotype×irrigation regime was significant for CT and CTD. PCA showed that CTDs was related with HM, GMP, STI, and MP in indication of drought tolerance, where CTDi was related with TOL and SSI in indication of drought sensitivity. A negative correlation showed between CT and CTD, higher values ​​of CT compared to environmental temperature implies negative values ​​of CTD which indicates drought sensitivity; on the other hand, CT values ​​lower than environmental temperature implies positive CTD values ​​indicating drought tolerance.

The aim of this study was to know the relation between the grain yield and its components in order to identify the most important attributes in grain yield prediction which would serve as a criterion for the selection of genotypes growing under semi-arid conditions. Fifteen genotypes were studied composed of 11 advanced lines, 03 local landraces and 01 introduced genotype used as controls. Analysis of variance, simple linear correlation multiple linear regression, stepwise multiple linear regression, path analysis, principal component analysis and hierarchical clustering analysis were used to evaluate six traits including grain yield, plant height, days to heading, number of grains spike-1, number of spikes m-2 and thousand kernels weight. Analysis of variance showed that genotype effect was significant for the majority of traits studied (p=0.001), advanced line G10 was shown to be most performing (4.723 t ha-1). Simple linear regression revealed that the number of grains spike-1, number of spikes m-2 and thousand kernels weight contributed significantly in grain yield changes (R2=43, 17%). Path analysis showed that the number of grains spike-1, number of spikes m-2 and thousand kernels weight had a direct and significant effect on grain yield. Principal component analysis showed that thousand kernels weight and negative days to heading were most important factors traits in grain yield. According to these results number of grains spike-1 and thousand kernels weight were crucial for the majority of static analysis.

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