Multivariate Statistical Method for Determining Interrelationships among Seed Yield and Related Characters in Mungbean
Journal Title: International Journal of Farming and Allied Sciences - Year 2014, Vol 3, Issue 3
Abstract
In order to investigation of interrelationships among some characters and determine the most effective these characters on Mungbean's yield under drought stress conditions, a field experiment carried out as split plot experiment in randomized complete block design with three replications during 2009-2010, in Iran. The results revealed a strong correlation between 100-seed weight, number of pods per plant, number of seeds per pod and pod weight with seed yield in 2009-2010. The stepwise regression results for seed yield indicated that number of seeds per pod, number of pods per plant, 100- seed weight and pod weight (2009), and number of seeds per pod, number of pods per plant and 100- seed weight (2010) in the model were the input and 88.5 and 87.1% determined the variation of the traits. Path analysis showed that the maximum direct and positive effects were related to number of seeds per pod, number of pods per plant, 100-seed weight and pod weight. Performing factor analysis through principal component analysis, three factors in total 82.03 (2009), 81.64 (2010) and 78.20 (combined dataset) percent of the changes were justified. These factors were named: yield and yield component traits, phenological and physiological parameters, respectively. Yield can be increased by improving traits of the first factor. Also, selection of cultivars with shorter phonological traits (factor2) and higher content of physiological traits (Factor3) can help to avoid dry period. Generally, in breeding programs selecting and improving of these traits, especially number of seeds per pod is advisable for higher yield.
Authors and Affiliations
Ali Akbar Lalinia and Manni Marefatzadeh Khameneh
Keywords
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