<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Knowledge about the extent of variability and the association among traits are of a high value for any breeding efforts. The objective of this investigation is to evaluate the agro-morphological traits in a set of durum wheat genotypes under supplemental irrigation and dry land conditions. Results showed that principal component (PC) analysis had grouped the measured traits into four main components that altogether accounted for 77% of the total variation under non-stressed condition and 87% under water-stressed condition. With regard to the first four PCs, peduncle length, agronomic score, grain yield, vigority, test weight, days to physiological maturity and thousand kernel weight have shown to be the most important variables affecting the performance of durum wheat under non-stressed condition. In the first four PCs at the water- stressed condition, agronomic score, grain yield, vigority, days to physiological maturity, test weight and peduncle length have been shown to be the important variables under water-stressed condition. The results of factor analysis relatively confirmed the results of PC analysis. Our findings indicated that a selection strategy should take into consideration of agronomic score and days to physiological maturity under non-stressed condition while plant height and spike length under water-stressed condition. Therefore, the above-mentioned traits could be used as indirect selection criteria for genetic improvement of grain yield in durum wheat, especially in early generations of breeding programmes</p></abstract>

Knowledge about the extent of variability and the association among traits are of a high value for any breeding efforts. The objective of this investigation is to evaluate the agro-morphological traits in a set of durum wheat genotypes under supplemental irrigation and dry land conditions. Results showed that principal component (PC) analysis had grouped the measured traits into four main components that altogether accounted for 77% of the total variation under non-stressed condition and 87% under water-stressed condition. With regard to the first four PCs, peduncle length, agronomic score, grain yield, vigority, test weight, days to physiological maturity and thousand kernel weight have shown to be the most important variables affecting the performance of durum wheat under non-stressed condition. In the first four PCs at the water- stressed condition, agronomic score, grain yield, vigority, days to physiological maturity, test weight and peduncle length have been shown to be the important variables under water-stressed condition. The results of factor analysis relatively confirmed the results of PC analysis. Our findings indicated that a selection strategy should take into consideration of agronomic score and days to physiological maturity under non-stressed condition while plant height and spike length under water-stressed condition. Therefore, the above-mentioned traits could be used as indirect selection criteria for genetic improvement of grain yield in durum wheat, especially in early generations of breeding programmes

Analysis of Some Agronomic Traits of Durum Wheat Under Dryland and Supplemental Irrigation Conditions

Dryland Agricultural Research Institute, Gachsaran

Agriculture (Pol'nohospodárstvo)

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Knowledge about the extent of variability and the association among traits are of a high value for any breeding efforts. The objective of this investigation is...

Analysis of Some Agronomic Traits of Durum Wheat Under Dryland and Supplemental Irrigation Conditions

Publié en ligne: 04 mars 2015

Pages: 149 - 158

Reçu: 08 oct. 2014

DOI: https://doi.org/10.1515/agri-2015-0004

Mots clés
multivariate analysis, morphological traits, grain yield

© by Naser Sabaghnia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Analysis of Some Agronomic Traits of Durum Wheat Under Dryland and Supplemental Irrigation Conditions

Publié en ligne: 04 mars 2015

Pages: 149 - 158

Reçu: 08 oct. 2014

DOI: https://doi.org/10.1515/agri-2015-0004

Mots clésmultivariate analysis, morphological traits, grain yield

© by Naser Sabaghnia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
multivariate analysis, morphological traits, grain yield