Genetic divergence among elite sugarcane clones (Saccharum officinarum L.) based on cane yield and quality traits from Northern India

Abstract

Genetic divergence among the twenty four sugarcane genotypes collected from various sugarcane research institutions of northern India were tested in a randomized complete block design with three replicates during the cropping seasons 2013 -14. The assessment of the genetic diversity was based on the eighteen cane yield and quality characters. The results of the study indicated that, the genotypes were grouped into five clusters based on the genetic distance using Mahalanobis's statistics. Higher inter-cluster distance was recorded between cluster II and V (89.668) indicating high genetic diversity among these two clusters. Thus, exploitation of genotypes within these two clusters as parents for crossing could produce good sugarcane segregants. The lowest intra cluster distance was reported in the cluster III (14.897) revealed that clones are identical and can not to be used as parents in crossing that results hybrid not desirable for the characters studied. A critical analysis of cluster means for different traits indicated that cluster I was desirable for cane yield, CCS (t/ha), single cane weight, stalk diameter, germination (%), cluster II was better for juice extraction percentage, cluster III for better juice purity percent, brix (%), sucrose (%) and CCS (%) for 12 months and cluster V was the best source for NMC (000/ha), stalk length with other good cane and sugar yield traits. The average D 2 values among clones ranged from 29.998 (CoH 08262) to 69.791 (CoPb 09214).

Morphological characterization and genetic diversity analysis of interspecific hybrids of sugarcane

“…The most variable characters, cane height and NMC were used for construction of metroglyph pattern. Sanghera et al (2015), assessed genetic diversity by cluster analysis and grouped them into five clusters with maximum genetic distance as much as 89 between two clusters. In our study, metroglyph chart (Fig.…”

Genetic variability of garlic accessions as revealed by agro-morphological traits evaluated under different environments

“…Clustering analysis has been used to facilitate the visual interpretation of genetic diversity in plants. The use of these techniques has been extensively reported in scientific studies on several crop species such as cassava (Nick et al, 2008;Campos et al, 2010), capsicum (Sudré et al, 2006;Bento et al, 2007;Aklilu et al, 2016), commom bean (Chiorato et al, 2005;Legesse et al, 2013), sugarcane (Sanghera et al, 2015), maize (Teodoro et al, 2015), onion (Buzar et al, 2007;Singh et al, 2013), açai palm , Brazilian turmeric (Sigrist et al, 2011), and garlic (Menezes Sobrinho et al, 1999;García Lampasona et al, 2003;Mota et al, 2006;Panthee et al, 2006;Zahedi et al, 2007;Viana et al, 2016), among others.…”

Identification of marker-trait associations for morphological descriptors and yield component traits in sugarcane

“…(Allen et al 1997;Pinto et al 2010;Kang et al 2013). In addition, in recent times, it has gained attraction due to its potential for green fuel (ethanol) production, and now much of the sugarcane in countries like Brazil and United States is being used for ethanol production (Sanghera et al 2015). Grivet et al (2004) classified the sugarcane genetic resources into three groups: (1) traditional cultivars, (2) wild relatives, and (3) modern cultivars.…”