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Determination of Cardinal Temperatures of Flax-leaf Alyssum (Alyssum linifolium) in Response to Salinity, pH, and Drought Stress

Published online by Cambridge University Press:  12 June 2018

Ahmadreza Mobli ,
Ali Ghanbari  and
Mehdi Rastgoo
Ahmadreza Mobli
Affiliation:
Graduate Student, Department of Agrotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
Ali Ghanbari
Affiliation:
Associate Professor, Department of Agrotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
Mehdi Rastgoo*
Affiliation:
Associate Professor, Department of Agrotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
*
*Author for correspondence: Mehdi Rastgoo, Department of Agrotechnology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. (E-mail: [email protected])
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Abstract

Flax-leaf alyssum (Alyssum linifolium Steph. ex. Willd.) is a winter weed species in irrigated and dryland farming systems of Iran. Experiments were conducted to compare the cardinal temperatures of A. linifolium at different levels of drought, salt concentration, and pH. In all experiments, the dent-like model showed a better fit than the quadratic polynomial model. Alyssum linifolium produced the highest germination rates at pH 7 and a temperature of 20C in nonstress treatment. Minimum, optimum, and ceiling temperatures in the dent-like model were 4.1 (upper=26.8, lower=10.0) and 35C, and in the quadratic polynomial model were 3.3, 19.1, and 35.0C, respectively. At increased salinity and drought potential levels, the minimum temperature increased, while optimum and ceiling temperatures decreased. Seeds could germinate at up to 20 dS m−1 and −1 MPa, respectively, but germination rate and percentage significantly decreased. The seeds of this weed germinated across a wide range of pH values (4≤pH≥8), but the temperature range at which seeds could germinate was reduced. These data serve as guidelines for species-specific propagation protocols and agricultural decision support systems.

Keywords

Associate Editor: Hilary A. Sandler, University of MassachusettsMinimumoptimumand ceiling temperaturesnonlinear regression
Type
Weed Biology and Ecology
Information
Weed Science , Volume 66 , Issue 4 , July 2018 , pp. 470 - 476
Copyright
© Weed Science Society of America, 2018 

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