Morphological Diversity and per se Performance in Upland Cotton (Gossypium hirsutum L.)

Abstract

A field experiment was conducted to find out the morphological diversity and per se performance of yield component traits, yield and a fibre quality traits eleven genotypes (four G. hirsutum cultivars viz., MCU 5, MCU 12, SURABHI and SVPR 2 and seven G. hirsutum genetic accessions viz., F 776, F 1861, SOCC 11, SOCC 17, TCH 1641, TCH 1644 and TCH 1646) during kharif 2005-06. Morphological traits of each genotype were measured on five randomly chosen plants in each replication. Significant differences were recorded for all the fourteen traits observed. The cultivar MCU 12 produced maximum yield (95.33 gm/plant) due to more number of sympodia (24.17/ plant), number of bolls (25.17/plant), boll weight (4.20 g), ginning outturn (35.43 %), lint index (6.12 g) and seed index (10.44 g). Among the eleven genetic accessions, most of them expressed lowest value in yield and quality traits except SOCC17 superior in micronaire (4.60μg/inch -1 ), SOCC11superior in fibre elongation (9.60 %) and TCH 1641 had high number of sympodia (28.97/plant) and number of seeds per boll (32). The cultivar SURABHI possess significantly more number of bolls (26.47/ plant), high ginning outturn (36.24 %), 2.5% span length (32.90 mm) and bundle strength(22.9 g/tex -1 ). The morphological traits data were used for assessing genetic diversity in the 11 cotton genotypes. NTSYS software was used to determine the genetic similarities and construct a dendrogram. The matrix of average taxonomic distance was estimated using Euclidian distance. The average taxonomic distance ranged from 0.1 to 1.4. At a Euclidean distance of 0.8, the 11 genotypes were grouped into IV clusters at 0.43% similarity level. Among the different clusters, the cluster size varied from one to four genotypes. The maximum number of genotypes was included in cluster I (four genotypes) and the minimum number in cluster II having only one genotype. The cluster III & IV each had three genotypes. The analysis of variance revealed significant divergences among all the genotypes for all characters. In future, greater morphological diversity shown among the genotypes can be used to generate potential and promising hybrids.

An evaluation of some mutant cotton (Gossypium hirsutum L.) varieties from Azerbaijan in Southeast Anatolian region of Turkey

“…Stoneville-453 had the lowest 100 seed weight (9.42 g) ( Table 7). Ashokkumar and Ravikesavan ((2011) reported similar results (10.44 g). In the same table, looking at the four years' mean results, it is seen that the highest 100 seed weight was taken from Sayar-314, Agdas-17, Agdas-6, Agdas-7 and Agdas-3 and that the lowest 100 seed weight was taken from Stoneville-453.…”

“…Arshad et al (2003) and Basbag and Temiz (2004) reported similar results (37.98 and 39.45%). Ashokkumar and Ravikesavan (2011) reported lower ginning outturn (35.43 and 36.24%).…”

“…Soomro et al (2005) noticed that boll number per plant varried between 11.22 and 25.85. Basbag and Temiz (2004) and Ashokkumar and Ravikesavan (2011) reported that boll number per plant was 22 and 25.17 to 26.47, respectively.…”

“…The genotypes, SR-05 (56.03 g) and CB-9 (56.57 g), produced the highest average weight of cotton seed per ten bolls. Ashokkumar and Ravikesavan (2011) conducted a field experiment to find out the morphological diversity and performance per se of yield component traits, yield, and a fiber quality traits of eleven cotton genotypes (Gossypium hirsutum L.) during 2005 to 2006. Significant differences were recorded for all the fourteen traits observed.…”

GENETIC DIVERGENCE ASSESSMENT IN UPLAND COTTON (Gossypium hirsutum L.) USING VARIOUS STATISTICAL TOOLS

“…They also reported maximum contribution of first two principal components towards total variability. Ashokkumar and Ravikesavan (2011) and Malik et al (2011) also reported ample amount of genetic diversity in colored cotton genotypes that allows facilitation for grouping of colored cotton genotypes. Our findings are also in agreement with that of Nazir et al (2013) who concluded that contribution of first two PCs are important in total variation.…”