Roles of methanol and ascorbic acid foliar application on physiological traits of peanut (Arachis hypogaea L.) under rainfed condition

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Research Paper 01/08/2015
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Roles of methanol and ascorbic acid foliar application on physiological traits of peanut (Arachis hypogaea L.) under rainfed condition

Ebrahim Azarpour, Jafar Asghari, Mohammad Naghi Safarzadeh
J. Bio. Env. Sci.7( 2), 276-288, August 2015.
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Abstract

Peanut is an agriculturally valuable plant with widespread distribution in the world serving as a subsistence food crop as well as a source of various food products. In order to evaluation the effect of foliar application of methanol and ascorbic acid on physiological traits (crop growth rate, pod growth rate, partitioning factor and pod filling period) of peanut ( Arachis hypogaea L. var.NC2) an experiment was conducted in agricultural research farm of Astaneh Ashrafiyeh (north of Iran) in 2013-2014. A completely randomized block design with three replication on a factorial experiment with two factors including four levels of methanol (0 (Control), 10, 20, and 30 volumetric percentage) and four levels of ascorbic acid (0 (Control), 1000, 2000, and 3000 mg/lit) was used. Methanol and ascorbic acid foliar application was done two times during the growing season with 15 days intervals and spraying start in 73 code stage of BBCH-scale. The results indicated that, the application of methanol and ascorbic acid in different concentrations showed significant increases in all physiological traits (apart from pod filling period) compared with control treatment. Most significant effects were obtained by spraying 20-30 (v/v) methanol and (2000-3000 mg/lit) ascorbic acid at the two application dates. Correlation coefficients among crop growth rate, pod growth rate and partitioning factor were positive and significant, whereas they were negatively and significantly correlated with pod filling period. Therefore, the knowledge of crop physiology through various analysis technique, which involves tracing the history of growth and identifying growth and yield factors contributing for yield variation is a vital tool in understanding the crop behaviour.

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