National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692 Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
In most of the agricultural experiments, data on multiple characters is frequently used. Analysis of variance (ANOVA) technique is employed for assessment of each single character and the best treatment can be identified on the basis of the performance. But more than one or at least two characters cannot be taken into account simultaneously. If it is seen the system as a whole, more than one characters are important to the researcher. In these situations, Multivariate Analysis of Variance (MANOVA) can be helpful. At first, an experiment on groundnut was conducted involving 11 treatment and 3 replication in Randomized Block Design (RBD) setup at District seed farm, Kalyani, BCKV, West Bengal (22.9878o N, 88.4249o E). Three characters namely number of pod per plant, dry pod weight per plant, dry pod yield are taken in consideration for analysis. Three separate ANOVAs and a single MANOVA are performed based on three character separately and simultaneously. At 5% level of significance, based on single character number of pod per plant, there have no significant difference within treatments. In case of dry pod weight per plant T5, T6, T3 are statistical at par. Based on single character dry pod yield T4, T3, T5 and T2 are statistical at par. But based on the three character simultaneously, according to the Wilk’s Lambda criterion T3 is statistical at par with T2, T4 and T5. For treatment comparison, MANOVA can give better result than ANOVA in presence of multiple characters.
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