Record Details

Analysis of genetic variability among citrus (Citrus spp) genotypes using morphological traits

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Analysis of genetic variability among citrus (Citrus spp) genotypes using morphological traits
Not Available
 
Creator Evening Stone Marboh
Anand Kumar Singh
Anil Kumar Dubey
Jai Prakash
 
Subject Citrus genotypes
Dissimilarity
Euclidean distance
Traits
Variability
 
Description Not Available
Fifty citrus (Citrus spp) genotypes comprising cultivars, strains and hybrids were characterized by using
morphological characters in this study. Twenty quantitative characters from leaves, flowers and fruits were evaluated and morphological data from fifty accessions were submitted to one-way ANOVA, principal component and cluster analysis. The matrix of average dissimilarity between genotypes was estimated using Euclidean distance. Significant variation in quantitative characteristics among genotypes was observed. The average distance ranged from 0.09 - 3.77. The clustering pattern clearly differentiates the genotypes into separate clusters based on their dissimilarity values. The first 3 principal components explained 58.72% of variation and identified seeds/fruit, juice content, pH, TSS, TSS:TA and petal size as important traits that can be used to differentiate genotypes. Among all genotypes, small fruited mandarins were highly diverse while sweet orange and grapefruit genotypes presented the lowest diversity. The high diversity observed within the genotypes points to ample possibilities of obtaining desirable trait combinations in specific cultivars.
Not Available
 
Date 2019-06-04T05:58:39Z
2019-06-04T05:58:39Z
2015-02-20
 
Type Research Paper
 
Identifier Marboh E.S., Singh A.K., Dubey A.K. and Prakash J. 2015. Analysis of genetic variability among citrus (Citrus spp) genotypes using morphological traits. Indian Journal of Agricultural Sciences, 85 (2): 203–211.
0019-5022
http://krishi.icar.gov.in/jspui/handle/123456789/20084
 
Language English
 
Relation Not Available;
 
Publisher Indian Council of Agricultural Research (ICAR)