African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6862

Full Length Research Paper

Water use efficiency of sunflower genotypes under drip irrigation

Adel M. Mahmoud
  • Adel M. Mahmoud
  • Agronomy Department, Faculty of Agriculture, Assiut University, Assiut, Egypt.
  • Google Scholar
Talaat A. Ahmed
  • Talaat A. Ahmed
  • Department of Biological and Environmental Sciences, Qatar University, Qatar
  • Google Scholar

  •  Received: 04 December 2015
  •  Accepted: 10 February 2016
  •  Published: 17 March 2016


This investigation was conducted to determine the productivity and water use efficiency (WUE) for new sunflower genotypes obtained from selfing and induced mutation. Ten sunflower genotypes were evaluated under drip irrigation using two treatments of irrigation (100 and 75% from water requirement of sunflower). Statistical analysis showed that there were significant differences among genotypes, as well as between irrigation treatments and the interaction between them. Results indicate that decreasing the amount of irrigation water from 1500 to 1130 (mm/ha) significantly reduced all studied traits. Mutation (M2,1-63) surpassed all the other genotypes in seed yield and WUE. Lines which gave the highest yield of the seed have WUE under drought conditions higher than WUE under normal irrigation. The lowest depression in seed yield due to drought conditions compared to the seed yield under normal irrigation has been registered for Line 20, Line M2,1-63, and Sakha 53 genotypes (11, 18, and 16%, respectively), but the highest depression recorded for Line 48, Line M2,3-63, and Line M2,4-63 (49, 46, and 43%, respectively). The genotypes (Line 20, Line M2,1-63 and Sakha 53) are more tolerant to drought than others and we can used its in breeding program to develop  sunflower hybrids suitable for cultivation under drought condition.
Key words: Sunflower genotypes, water use efficiency, mutation, inbred lines.