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Vol. 11, Issue 7 (2022)

Evaluation of F2 population for yield and yield attributing characters in Chilli (Capsicum annuum L.)

Author(s):
Meenakshi Badu, Ponnam Naresh, Gouri Shankar Sahu, Pradyumna Tripathy, Niranjan Das and Usha Rani Veera
Abstract:
In the present study, in F2 population 350 test entries along with 4 checks were estimated in an augmented block design for yield and yield contributing traits. The analysis of variance revealed significant mean sum of squares for all traits for different sources of variation. The number of genotypes that exceeded the best check was 62 (plant height), 59 (number of primary branches), 55 (days to 50% flowering), 49 (number of fruits per plant), 52 (fruit length), 47 (fruit width), 49 (fruit weight), 48 (fruit shape index), 46 (pedicel length), 48 (yield per plant), 45 (dry yield per plant) and 47 (dry recovery %). Plant number 91 was the best genotype among all the test treatments for all traits except days to 50% flowering and fruit width. Among the checks, B-HP-143 was observed to be best for plant height, days to 50% flowering, number of fruits per plant, yield per plant, dry yield per plant and dry recovery %, whereas, B-HP-144was found to be superior over all the checks for rest of the traits.
Pages: 1753-1756  |  333 Views  131 Downloads


The Pharma Innovation Journal
How to cite this article:
Meenakshi Badu, Ponnam Naresh, Gouri Shankar Sahu, Pradyumna Tripathy, Niranjan Das, Usha Rani Veera. Evaluation of F2 population for yield and yield attributing characters in Chilli (Capsicum annuum L.). Pharma Innovation 2022;11(7):1753-1756.

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