Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer


See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 8, Issue:5, May, 2019

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.2019.8(5): 1881-1899
DOI: https://doi.org/10.20546/ijcmas.2019.805.219


Selecting Parental Lines among Genotypes of Capsicum annuum for Hybridization Aiming at Dry Fruit Yield Improvement
Majjiga Sreenivas1, Amit Baran Sharangi1, Swadesh Banerjee2,Praveen Kumar Maurya2, Tridip Bhattacharjee2 and Arup Chattopadhyay2*
1Department of Plantation, Spices, Medicinal and Aromatic Crops, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Nadia, Mohanpur 741252, West Bengal, India
2Department of Vegetable Science, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Nadia, Mohanpur 741252, West Bengal, India
*Corresponding author
Abstract:

Increased productivity of dry chilli with appreciable fruit quality is the present need in major growing areas to promote export from our country. The present investigation was undertaken to identify important selection indices, and to analyze the genetic divergence of collected germplasm for identification of diverse parents for spice chilli hybridization program. Different components of genetic variability for 15 growth and yield component traits were determined employing 45 genotypes evaluated in autumn-winter season of 2015-16 in Randomized Block Design with three replications. High GCV and PCV values were recorded for all the characters except days to 50% flowering, days to ripe fruit maturity from anthesis and 1000 seed weight. The proportion of genetic contribution to the overall phenotypic expression of most of the traits was very high. Both heritability and genetic advance was high for all the characters under study except days to ripe fruit maturity from anthesis, revealing additive genetic control of characters. Selection would be most useful for the improvement of these traits. Dry fruit yield/plant was found positively and significantly correlated with all the traits except days to 50% flowering and days to ripe fruit maturity from anthesis. Path coefficient analysis indicated that the maximum direct effect on dry fruit yield/plant was through ripe fruit yield/plant followed by dry fruit weight. From the combing study of correlation and path coefficient, the characters, namely ripe fruit yield/plant and dry fruit weight were the most important selection criteria, emphasis should be given on such traits while imposing selection for amenability in dry fruit yield of chilli. Based on the determination of divergence all the genotypes were grouped into 7 clusters. However, random grouping pattern of genotypes was observed indicating that geographical diversity and genetic divergence were unrelated. The intra- and inter-cluster distance among the genotypes depicted that crossing between the genotypes belonging in Cluster I and VII or Cluster III and VII will be expected to give high heterotic response in F1 generation. The character fruit length contributed the maximum towards genetic divergence followed by fruit diameter, fruits/plant and plant spread (N-S). Based on D2 Statistics, PCA and mean performance, six genitors Beldanga, BCCH Sel-4, G-4, BCC-30, BCC-25, and Srinagar possessed the optimum combination of all variables and were identified as most promising donor parents in dry chilli hybridization programme with a view to develop promising hybrids/improved lines.


Keywords: Chilli, Correlation, Genetic variability, Multivariate analysis, Path analysis, Dry fruit yield

Download this article as Download

How to cite this article:

Majjiga Sreenivas, Amit Baran Sharangi, Swadesh Banerjee, Praveen Kumar Maurya, Tridip Bhattacharjee and Arup Chattopadhyay. 2019. Selecting Parental Lines among Genotypes of Capsicum annuum for Hybridization Aiming at Dry Fruit Yield Improvement.Int.J.Curr.Microbiol.App.Sci. 8(5): 1881-1899. doi: https://doi.org/10.20546/ijcmas.2019.805.219
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

Citations