Journal of Food, Agriculture and Environment

Vol 9, Issue 1,2011
Online ISSN: 1459-0263
Print ISSN: 1459-0255

Effect of micronutrient and irrigation deficit on yield and yield components of isabgol (Plantago ovata Forsk) using multivariate analysis


Mahmood Ramroudi 1, Mohammad Galavi 1, Barat Ali Siahsar 2, Maryam Allahdoo 2*

Recieved Date: 2010-10-30, Accepted Date: 2011-01-05


In order to affect micronutrient and irrigation deficit on yield and component yield of isabgol, experiment was carried out based on split-plot design with based design of random complete block. Main plots were irrigation deficit and secondary plots were application of micronutrients. Means of traits were used for multivariate analysis, such as multiple regression, stepwise regression, principle component analysis and path analysis for mucilage yield. Variance analysis of traits showed grain yield, biological yield and 1000-kernel weight were influenced by both limited irrigation and micronutrients. Mucilage yield and number of leaves per plant were influenced by micronutrients, and number of spikes per plant was influenced by limited irrigation. As mucilage yield, treatments that recived Zn to concentration of 3 ppt were better than treatments that recived Mn, Fe and complate mixture of Zn, Fe and Mn. Mucilage yield had significant positive correlation with grain yield and biological yield. Stepwise regression of grain yield showed that number of spikes per plant was the first variable entered to model and contributed 37.6% of grain yield variation. Then 1000- grain weight was second variable entered to model and overall number of spikes per plant explained 54.4% of variation and in step 3 harvest index entered to model explained overall 75.4% of variation. In the correlation analysis number of spikes per plant also had significant positive correlation with grain yield. The multiple correlation coefficient for mucilage yield was 0.999 and in stepwise regression, harvest index, number of leaves per plant and number of grain per plant entered to model, respectively, explained overall 0.999 of mucilage yield variation. Results of path analysis showed grain yield had highest effect on mucilage yield. Number of spikes per plant via influence of grain yield and biological yield had highest indirect effect to mucilage yield. Therefore, in order to increase mucilage yield it is favorable to select plants according to grain yield and of number of spikes per plant. PCA analysis for mean of factors intraction (A and B) showed that 3 PCs with eigenvalues higher than 1 accounted for 88% of the total variation. PC1, PC2 and PC3 explained 54.6%, 24.8% and 0.08% of the total variation, respectively.


Isabgol, micronutrient, irrigation deficit, multivariate analysis

Journal: Journal of Food, Agriculture and Environment
Year: 2011
Volume: 9
Issue: 1
Category: Agriculture
Pages: 247-251

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