Character association and path analysis of soybean (Glycine max L.) genotypes under water deficit stress

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Research Paper 01/10/2013
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Character association and path analysis of soybean (Glycine max L.) genotypes under water deficit stress

Mohammad Mehdi Pour-Siahbidi, Jafar Hoseinzadeh, Alireza Pour-Aboughadareh, Abdolreza Bazdar, Hamid Besati, Houshang Naseri Rad
Int. J. Biosci.3( 10), 126-132, October 2013.
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Abstract

Knowledge of interrelationships between seed yield and its contributing components will improve the efficiency of breeding programs through the use of appropriate selection indices. The objective of this study was to evaluate of interrelationships among seed yield and related characters in four soybean genotypes. The genotypes were evaluated using a split-plots design based on randomized complete block with three replications. The stress conditions consisted of three different levels of water deficit stress: I1: irrigation during all growth stages as control treatment, I2: omit irrigation at the onset of flowering stage (R1) and I3: omit irrigation at the onset of grain filling stage (R6). Under normal and abnormal irrigations the correlation of seed yield and three characters biological yield, oil yield and protein yield were positive significantly. However, under water deficiency the relation between seed yield and oil percent was positive significantly. Path analysis was used to partition the correlations between seed yield and most related characters. Under normal irrigation condition the most direct effect was obtained from number of pod per plant followed by the protein yield and oil yield. Also, in this condition the highest indirect effect was obtained from number of pod through protein yield, followed oil yield through number of pod per plant. Under water deficiency conditions the most direct effect of characters on seed yield was obtained from number of seed per plant, followed the protein yield and oil yield. The most indirect effect of characters was observed from oil yield through number of seed per plant followed the protein yield through number of seed per plant.

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