Morphological variability
The genotypes revealed wide range of phenotypic expression for all the traits under study (Table 1). The mean plant height was 312.12 cm, but it ranged from 268.50 cm for accession SIN-24 to 349.92 cm for accession SIN-28. Four accessions
viz., SIN-28 followed by SIN-22, SIN-11 and SIN-06 were found taller than check variety K 12 black (334.00 cm) (Table 2). Average basal stem diameter was 14.03 mm while range was 10.68-17.44 mm for SIN-35 and SIN-06. Since bast fiber occurs in phloem or bark surrounding the plant stem, fibre yield improvement can be achieved primarily by selecting genotype with better plant height and basal stem diameter
(Chen et al., 1990; Sawarkar et al., 2014).
Green biomass yield, an important yield character, varied extensively from 181.07 g/plant to 456.40 g/plant with an average of 276.98 g/plant. Similarly, wood yield per plant also revealed significant variation with a range of 30.89-75.57 g. Accession with high green biomass yield and average wood yield are more desirable since this trait combination ensures high fibre recovery percentage, which eventually leads to higher fibre yield
(Kumar et al., 2018). For fibre yield, the range was 3.21-11.95 g/plant with accessions SIN-07, SIN-11 and SIN-15 having 11.95 g, 10.58 g and 9.99 g fibre yield per plant, respectively, which is significantly higher than check variety K 12 black (8.81 g/plant). The accessions SIN-06, SIN-07, SIN-11, SIN-15 and SIN-22 that recorded higher values for majority of the yield contributing traits were collected from different districts of Rajasthan.
Cluster analysis
Cluster analysis performed using Manhattan distance matrix and Average linkage method of minimum variance grouped the accessions into three major clusters (Fig 2). Accession SIN-10 and SIN-12 from Rajasthan, SIN-27 and SIN-35 from Jharkhand and SIN-24 from Kerala formed part of cluster III, distinctly separated from the rest of the accessions. SIN-06, SIN-07 and SIN-11 another accessions from Rajasthan featured in cluster II, along with SIN-02 an accession from Kerala. The rest of the accessions did not show any specific pattern based on geographic origin and were grouped in cluster I.
Satya et al., (2016) reported moderate to narrow genetic variability with fibre type India sunnhemp cultivars and breeding lines forming a single group. High genetic distance was observed between cluster II and III indicating the accessions from these clusters are distinct from each other. Inter-mating of these genotypes is expected to generate high population variability. Hence, it suggests use of these germplasm in population improvement program to break the yield barrier in sunnhemp.
Principal component analysis
PCA of forty-two Indian sunnhemp accessions based on correlation matrix revealed three principal components that together accounted for 95 per cent of total multivariate variation (Table 3). In the first PC (75.5% of total variation), the traits with significant contribution were basal stem diameter, green biomass yield and wood yield. The second PC (12.4% of the total variation) accounted for variation mainly with respect to plant height and fibre yield. Also an attempt has been made to plot the 42 accessions in a plane defined by the two principal components (Fig 3). Only few accessions with same geographical origin were grouped together while majority of the population together formed a big cluster in the center of the plane irrespective of their eco-geographical zones as also revealed by cluster analysis. Both cluster analysis and PCA analysis produced comparable results, a high correspondence between these two results is indicative of robustness of the present classification.
Satya et al., (2016) while studying species diversity in
C. juncea using SCoT markers, obtained similar kind of congruence. The cluster II formed a distinct group in the top right of the plane; these accessions were taller with high fresh biomass and dry fibre yielders among the genotypes. Cluster III composed of four accessions scattered in the left of the plot; these accessions were low yielders with shorter plant height compare to other groups. Cluster I, the accessions distributed equally on upper and lower half of the plot in the middle, comprised of thirty-three accessions, which recorded intermediated agronomic performance comparable to the best accessions as well as checks.
DIVA-GIS approach
Coefficient of variation (CV) is a simplest measure to analyze diversity of a given population. CV of all the five morphological traits were combined to generate a single grid map showing average CV of the five layers (Fig 4). The map will help to visualize the spatial diversity of sunnhemp accessions. The sites with the highest sunnhemp diversity are located in eastern Rajasthan, western Jharkhand and in the border area between Bihar and Jharkhand. These geographical areas are known to harbor maximum genetic variability for
C. juncea (Pandey et al., 2010). Further, grid map for specific traits
viz., green biomass yield and fibre yield (Fig 5) was generated and locations with highest phenotypic value for the trait was identified. Sunnhemp accessions with high green biomass yield were found mainly in eastern and southern districts of Rajasthan (Pali, Alwar, Dausa and Sawai Madhopur) and parts of northern Orissa region. Whereas, only accessions from eastern and southern districts of Rajasthan were turned out to be high fibre yielders, which means these accessions has got good fibre recovery percentage. Similar studies using GIS approach in assessing the genetic diversity and in mapping areas of high diversity have also been reported in different crop species
(Parthasarathy et al., 2006; Sunil et al., 2009; Raina et al., 2015). GIS mapping of phenotypic data combined with passport data aided in spatial analysis of diversity pattern in sunnhemp.
The present investigation revealed significant variability among the Indian sunnhemp accessions. The genetically diverse and agronomically superior accessions identified through this present study could be potentially utilized as parents for introgression of favorable traits and develop broad genetic based population to derive varieties with high biomass and fibre yielding ability.