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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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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

Int.J.Curr.Microbiol.App.Sci.2017.6(7): 246-254
DOI: https://doi.org/10.20546/ijcmas.2017.607.029


Using Augmented Design for Evaluation of Common Bean (Phaseolus vulgaris L.) Germplasm
Iram Saba, Parvaze A. Sofi*, N.A. Zeerak, R.R. Mir and Musharib Gull
Division of Plant Breeding and Genetics, SKUAST-K, Wadura, Sopore, 193201, J & K, India
*Corresponding author
Abstract:

Genetic resources enable plant breeders to create novel plant gene combinations and select crop varieties more suited to the needs of diverse agricultural system. In the present study, 200 test entries along with 3 checks were evaluated in an augmented block design for yield and yield component traits. The mean values of days to flowering, days to maturity, plant height (cm), number of pods per plant, pod length (cm), seeds per pod, 100 seed weight (g) and seed yield per plant (g) were 44.040 + 0.039, 81.698 + 0.593, 102.503 + 5.071, 15.152 + 0.445, 12.465 + 0.149, 4.327 + 0.041, 36.416 + 0.667 and 19.173 + 0.532, respectively. The Analysis of variance revealed significant mean sum of squares for all traits for different sources of variation. The Block effect (unadjusted) and the treatment effects (adjusted as well as unadjusted) were significant for all the traits. Similarly the effects due to checks and varieties were significant. However, the adjusted block effects were non-significant for all traits except pods per plant indicating homogeneity of evaluation blocks. Similarly, the mean square due to checks v/s varieties was significant for all the traits except days to maturity, indicating thereby that the test entries were significantly different from checks except for days to maturity. The number of genotypes that surpassed the best check was 19 (days to flowering), 37 (days to maturity), 88 (plant height), 2 (number of pods per plant), 1 (pod length), 5 (seeds per pod), 41 (100 seed weight) and 10 (seed yield per plant). Shalimar French Bean-1 was the best check for all traits except plant height (Arka Anoop) and 100-seed weight (Shalimar Rajmash-1). Only three principal components had Eigen values above unity and as such were considered. The latent roots ranged from 2.375 for first PC to 0.121 for the eighth PC. The first component explained 29.7% of variation followed by PC 2 (23.9%) and PC 3 (15.3%). Seed yield per plant was significantly and positively correlated with the number of pods per plant and 100-seed weight while as number of seeds per pod was positively correlated with pod length. The only significant negative correlation was between pod length and plant height. Similarly, positive but non-significant correlations were recorded between seed yield per plant and number of seeds per pod, pod length, DF as well as plant height.


Keywords: Augmented design, Common bean, Yield, Principal Component analysis.
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How to cite this article:

Iram Saba, Parvaze A. Sofi, N.A. Zeerak, R.R. Mir and Musharib Gull. 2017. Using Augmented Design for Evaluation of Common Bean (Phaseolus vulgaris L.) Germplasm.Int.J.Curr.Microbiol.App.Sci. 6(7): 246-254. doi: https://doi.org/10.20546/ijcmas.2017.607.029