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Flag Leaf Senescence, as Evaluated by Numerical Image Analysis, and its Relationship with Yield under Drought in Durum Wheat
Authors:M. Hafsi  W. Mechmeche  L. Bouamama  A. Djekoune  M. Zaharieva   P. Monneveux
Affiliation:Authors' addresses: Dr M. Hafsi, UniversitéFerhat Abbas, Département des Sciences Biologiques, 19000 Sétif, Algeria;Drs W. Mechmeche and L. Bouamama, UniversitéFerhat Abbas, Institut d'Optique et de Mécanique de Précision, 19000 Sétif, Algeria;Dr A. Djekoune, Universitéde Constantine, Institut des Sciences de la Nature, route d'Aïn El Bey, Constantine, Algeria;Drs M. Zaharieva and P. Monneveux (corresponding author), ENSA-INRA, UFR Génétique et Amélioration des Plantes, 2 place Viala, 34070 Montpellier, France.;1Present address: CIMMYT, Wheat Program, AP6-641, 06600 Mexico D. F., Mexico
Abstract:Senescence was evaluated at different stages of the grain‐filling period in eight durum wheat varieties using numerical image analysis (NIA). The varieties were grown under early, severe drought conditions on the high plains of Sétif in Algeria. After flowering, three different irrigation treatments were applied. Treatment effect was small, while a genotypic effect was noted for most of the senescence parameters. Senescence correlated to biomass, while the maximal rate of senescence, Vsmax, correlated to thousand‐kernel weight. The potential of the method of numerical image analysis for monitoring flag leaf senescence, detecting genotypic variability and selecting genotypes with delayed senescence is discussed.
Keywords:drought     durum wheat     numerical image analysis     senescence     yield
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