Multivariate Analysis in Blackgram (Vigna mungo L. Hepper) Genotypes in India

Reddy, Palle Siva Sainath and Lal, Gabriyal M. and Bara, Bineeta M. and Vamsi, Parvathaneni (2022) Multivariate Analysis in Blackgram (Vigna mungo L. Hepper) Genotypes in India. International Journal of Plant & Soil Science, 34 (22). pp. 1521-1528. ISSN 2320-7035

[thumbnail of 2434-Article Text-4491-1-10-20221011.pdf] Text
2434-Article Text-4491-1-10-20221011.pdf - Published Version

Download (594kB)

Abstract

The present study was contained black gram, 40 genotypes and experiment will be carried out in Randomized block design with 3 replications. The higher GCV & PCV found in biological yield, harvest index, number of cluster per plant, number of primary branches per plant. The traits were biological yield, harvest index, number of cluster per plant, number of primary branches per plant, seed yield per plant, seed index exposed higher heritability and higher genetic advance as percentage of mean. Regarding on D2 values 40 black gram genotypes grouped in to 5 clusters. The intra cluster distance ranged from 0 to 30.38. The highest intra cluster distance found in cluster II (30.38). The highest inter cluster distance found between clusters III to cluster IV (168.86). The first principal component was more positively related to seed yield and its contributing traits such as days to maturity (0.305), biological yield (0.203), days to 50% flowering (0.180), seed index (0.018). The positive and negative loading shows the presence of positive and negative correlation trends between the components and the variables.

Item Type: Article
Subjects: Open Article Repository > Agricultural and Food Science
Depositing User: Unnamed user with email support@openarticledepository.com
Date Deposited: 17 Jan 2023 09:24
Last Modified: 09 Jul 2024 07:01
URI: http://journal.251news.co.in/id/eprint/244

Actions (login required)

View Item
View Item