Indian Journal of Animal Research

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Indian Journal of Animal Research, volume 54 issue 6 (june 2020) : 685-695

Characterization of indigenous silkworm (Bombyx mori L.) breeds on the basis of morphological traits

Rubia Bukhari1,*, R.K. Bali1, Rashad Hussain Shah1
1Division of Sericulture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Main Campus, Chatha, Jammu-180 009, Jammu and Kashmir, India.
Cite article:- Bukhari Rubia, Bali R.K., Shah Hussain Rashad (2019). Characterization of indigenous silkworm (Bombyx mori L.) breeds on the basis of morphological traits . Indian Journal of Animal Research. 54(6): 685-695. doi: 10.18805/ijar.B-3838.
The morphological characterization among domesticated insect like silkworm (Bombyx mori L.) is an important aspect for selection of suitable parents for breeding programme. The present study was conducted on twenty bivoltine silkworm breeds to estimate the extent relationship by morphological characterization. Eighteen morphological traits both qualitative and quantitative viz., egg shape, chorion colour, colour of the newly hatched larva, larval marking, cocoon colour, cocoon shape, pupa colour and shape, colour of male and female moth, fecundity, hatching, larva weight 5th day, –th instar duration, total larval period, percentage of malformed cocoons, pupation rate, single cocoon weight, single shell weight and shell percent were studied and data revealed significant variability among the breeds. Maximum Euclidean distance was observed between NB4D2 and CSR19 (163.25) followed by CSR19 and UDHEY-5 (145.13) and minimum between UDHEY-1 and UDHEY-3 (4.20). The dendrogram of phenotypic data grouped all breeds in two clusters; Cluster A and B. Cluster A was sub divided into two sub-clusters cluster AI and cluster A II. Cluster A I contained eight breeds and Cluster AII eleven breeds. Cluster B comprised of one breed CSR19. In PCA the genetic divergence was maximum between NB4D2 and CSR19, whereas it was minimum in UDHEY-7 and ND2. PCoA results depicted CSR19 and SPO having greater divergence, whereas it was minimum between UDHEY-7 and ND2. On the basis of Euclidean distance metric the performance of the breeds; CSR19, NB4D2, PO3, UDHEY-8, SPO, UDHEY-4, ND2, CC1, UDHEY-2, UDHEY-5, UDHEY-7, UDHEY-6 have been identified as promising breeds and are recommended for further breeding to boost bivoltine silk production. 
Silkworm (Bombyx mori L.) originated in China in the southern district of Yangtze. Owing to its commercial value; the insect was brought to Korea, Japan and Europe and subsequently to India through the Silk Road. In due course of time, the species adapted to respective local conditions and got differentiated into Chinese, Japanese, European and Korean varieties and thereafter is being domesticated for over 5000 years. It has its use in textile as well as non- textile industries and is a model organism for studying microbiology, physiology and genetics. Silkworm comprises of large number of geographical races and inbred lines; distributed in temperate and tropical countries and showing substantial variation in their qualitative and quantitative traits. Currently, it is the major economic resource for nearly 30 million families in countries such as China, India, Japan, Korea, Vietnam and Thailand (Rathore et al., 2011; 2012). The tropical genotypes (non diapausing) are hardy and withstand adverse eco-climatic conditions but produce small quantum of poor quality silk, whereas genotypes of temperate (dia-pausing) origin produce higher quantity of international quality silk. The conventional breeding approaches, although have increased the silk productivity, but it has not integrated the high yielding traits of temperate genotypes with the low yielding disease resistant tropical genotypes. Moreover, the environmental factors interact specifically with the phenotypic and conventional breeding and, thereby limit the yield improvement of the strains of silkworm. The genetic resources are the basic material for crop improvement and the success of a breeding programme depends on the initial selection of parents and their effective utilization in desirable combinations. Further, it also depends on the ability of breeds to assemble and recombine the genetic variability and extraction of the potential gene combinations from the gene pool based on phenotypic expression; leading to genetic fixation of the traits over generations. Therefore, silkworm genetic resources need to be properly evaluated and screened for identifying the potential of promising parental lines. The earlier works conducted on the characterization of silkworm genetic resources Ram et al., (2003, 2006) and Sajgotra et al., (2016). In light of above background, the present study has been designed to characterize the indigenous silkworm bivoltine breeds on the basis of morphological traits.
Rearing of bivoltine silkworm breeds and qualitative characterization
 
The experimental bivoltine silkworm breeds were characterized for morphology of egg, larva, cocoon, pupa and adult. The characterization was done by collecting the samples at various stages of development. The research work was conducted at the SKUAST-Jammu with 20 different races of indigenous silkworm breeds namely; PO1, PO3, SPO, ND2, ND3, ND5, NSP, UDHEY-1, UDHEY-2, UDHEY-3, UDHEY-4, UDHEY-5, UDHEY-6, UDHEY-7, UDHEY-8, CC1, CSR18, CSR19, NB4D2 and SH6. The rearing of silkworm was conducted at the Division of Sericulture Udheywala, SKUAST-J, with standard rearing techniques suggested by (Dandin et al., 2003). To prevent diseases and to maintain good sanitation, the rearing room and other rearing appliances were disinfected with a 5% formaldehyde solution following Ullah and Narasimahanna (1978) procedure. The eggs were disinfected with 2% formaldehyde solution for five minutes recommended by Jolly (1983) incubated at 25+1°C and 80%+5% humidity and transferred to the rearing house, the newly hatched silkworms transferred to the rearing tray with a feather following the brushing technique of Ullah and Narasimahanna (1978). Cocoons were harvested after 4 to 5 days of mounting. Male and female pupae were segregated and the fresh moths were allowed to mate after emergence. The eggs produced were called disease free layings (dfls) and they were utilized for experiment. The characters studied and observational procedures are given below:
        
Fecundity was calculated by counting the total number of eggs female and mean of three layings in each replicate was observed for analysis and with these hatching percentage was computed. Vth Instar larval duration (D: H) was observed duration from fourth instar moult out upto pre-spinning stage and was recorded in days and hours for each breed; and total larval duration (D;H) from span in days and hours from brushing to pre- spinning stage including the moulting period in each instar. Ten mature larvae were picked randomly from each replicate of each breed from 4th to 6th day of fifth instar and weighted on digital balance. Maximum larval weight was recorded in each breed. Pupation % this may be effective rate of rearing (ERR) represents the number of live pupae obtained and calculated from the number of live pupae in cocoons harvested and total number of larvae retained after III moult. Malformed cocoon in the form of double, flimsy and dead cocoons were also computed in percentage. Single cocoon weight (g) was obtained from 25 male and female cocoons which were randomly selected and weighed on digital balance. Likewise single shell weight was also recorded. From these shell ratio % was worked out to determine the average cocoon weight by using the following formula; Weight of 25 male + 25 female cocoons/ 50 × 100.
        
The data obtained were analyzed for means and standard deviation followed by the ranking of parental breeds Mano et al., 1993 using Evaluation Index Method, (E.I.) with the formula: E.I. A – B/ C × 10 + 50 where, A = Value obtained for a particular traits of the breed; B = Mean value of a particular trait of all breed; C = Standard deviation of a particular trait; 10 = Standard unit; 50 = Fixed value and the coefficient of correlation of each character with yield was computed separately and were performed using following formulae:

 

Where, N is equal to the number of pairs of scores and Σxy is called the sum of the cross, followed by Multivariate and clustering analysis. Data from all the considered breeds was estimated using PAST3, which creates cluster analysis of the Euclidian distance metric to form an agglomerative hierarchical tree through UPGMA (Unweighted Pair Group Method using Arithmetic Averages). Tree has been presented as 2D plot Dendrogram. Principal Component Analysis (PCA) and Principal coordinate analysis (PCoA) was determined from coefficients output from Euclidian distance metric using software PAST3. All phenotypic data was used to compute various association coefficients for qualitative traits to form a Euclidian distance metric, which was subjected to make a Double Centre distance metric. Double Centre distance metric was used as input to create Eigen vector, Eigen value and graphical presentation of 2D plots.
Qualitative characterization of bivoltine silkworm breeds
 
The silkworm rearing trial of twenty bivoltine silkworm breeds was carried out in 2017 spring rearing season. The results obtained are presented below.
 
1. Egg shape
 
The shape of the eggs of all silkworm breeds studied, were ellipsoidal type.
 
2. Chorion colour
 
Twelve breeds viz. PO1, PO3, SPO, UDHEY-1, UDHEY-2, UDHEY-3, UDHEY-4, UDHEY-5, UDHEY-6, UDHEY-7, UDHEY-8 and SH6 recorded creamish white chorion colour. Five breeds namely ND2, ND3, ND5, NSP and NB4D2 were light yellow in colour. Remaining three breeds of CSR&TI Mysore origin viz. CSR18, CSR19 were having pale yellow colouration while as breed CC1 had white chorion (Table 1).
 

Table 1: Frequency distribution of chorion colour.


 
3. Colour of newly hatched larva
 
Out of twenty breeds, ten breeds viz. UDHEY-1, UDHEY-2, UDHEY-4, UDHEY-5, UDHEY-6, UDHEY-8, CSR18, CSR19, NB4D2 and SH6 recorded dark brown colour. Four breeds PO1, PO3, SPO and CC1 were brown in colour while as remaining six breeds viz. ND2, ND3, ND5, NSP, UDHEY-3 and UDHEY-7 were having black neonatal larval colouration (Table 2).
 

Table 2: Frequency distribution on colour of newly hatched larvae.


 
4. Larval marking
 
The larval marking in nine breeds; PO1, PO3, SPO, UDHEY-2, UDHEY-4, UDHEY-6, UDHEY-8, CC1 and NB4D2 were plain and breeds viz. ND2, ND3, ND5, NSP, UDHEY-1, UDHEY-3, UDHEY-5, UDHEY-7 and SH6 had crescent marked larvae. Two breeds, CSR18 and CSR19 were sex limited having marking on female larvae only while as male larvae were plain with no markings (Table 3).
 

Table 3: Frequency distribution on larval marking.


 
5. Cocoon Colour
 
Among twenty breeds, eight breeds viz. PO1, PO3, ND5, UDHEY-3, UDHEY-4, UDHEY-5, UDHEY-6 and UDHEY-8 recorded creamish white colour while as eleven breeds; SPO, ND2, ND3, UDHEY-1, UDHEY-2, UDHEY-7, CC1, CSR18, CSR19, NB4D2 and SH6 were white in colour. Breeds NSP recorded dull white coloured cocoons (Table 4).
 

Table 4: Frequency distribution on Cocoon Colour.


 
6. Cocoon shape
 
Among twenty breeds studied, nine breeds viz. PO1, PO3, SPO, UDHEY-2, UDHEY-4, UDHEY-8, CC1, CSR18 and SH6 had oval cocoon shape. Seven breeds viz. ND2, ND3, UDHEY-1, UDHEY-3, UDHEY-5, CSR19 and NB4D2 had elongated faint constriction and breed UDHEY-6 recorded oval faint constriction. Three breeds, viz. ND5, NSP and UDHEY-7 were elongated constricted (Table 5).
 

Table 5: Frequency distribution on cocoon shape.


 
7. Pupa colour
 
Ten plain larva viz. breeds PO1, PO3, SPO, UDHEY-2, UDHEY-4, UDHEY-6, UDHEY-8, CC1, CSR18, CSR19 (male) and NB4D2 recorded yellow colour while as ten marked larvae ND2, ND3, ND5, NSP, UDHEY-1, UDHEY-3, UDHEY-5, UDHEY-7, CSR18 CSR19 (female) and SH6 were of yellowish brown colour. The phenotypic pupal colouration for plain and marked larvae was in 1:1 ratio (Table 6).
 

Table 6: Frequency distribution on pupal colour.


 
8. Pupa shape
 
No variation in pupa shape was observed and all the pupae of all twenty breeds were of elliptical shape.
 
9. Colour of male and female moths
 
No variation in male moth colour was observed. All the twenty breeds studied had creamish white coloured male moths. Limited variation in female moth colour was observed. Female moth colour in breeds ND2, ND3, ND5, NSP, UDHEY-1, UDHEY-2, UDHEY-3, UDHEY-4,, UDHEY-5, UDHEY-6, UDHEY-7, UDHEY-8, NB4D2 and SH6 were dirty white while as breeds PO1, PO3, SPO and CC1 had dull white female moths. Sex limited breeds, CSR18 and CSR19 had dirty colour female moths (Table 7).
 

Table 7: Frequency distribution on female moth colour.


 
Quantitative Characterization of bivoltine silkworm breeds
 
The performance of twenty breeds is depicted for their parameters at egg, larval and cocoon stages in fecundity was observed to be maximum with the breed CSR19 (639) followed by UDHEY-1, UDHEY-3 (574) and the least in NB4D2 (476). The hatching percentage was maximum in SPO (96.28) followed by UDHEY-2 (94.88) and minimum in breed ND2 (80.90). Among breeds, fifth age larval duration was longer in PO1, ND2, ND3, ND5, NSP, CC1, CSR18, CSR19, NB4D2 and SH6 (7:0) and shorter in PO3, SPO, UDHEY -1, UDHEY-2, UDHEY-3, UDHEY-4, UDHEY-5, UDHEY-6, UDHEY-7 and UDHEY-8 (6:0). The longest and above average total larval life was recorded in breed NSP (29.00) followed by CSR18, CSR19 and NB4D2 (28.00). Shortest total larval duration was observed in breeds UDHEY-1, UDHEY-2, UDHEY-3, UDHEY-4, UDHEY-6 and CC1 (26.00). Maximum single mature larval weight was randomly recorded in breeds; PO1, PO3, ND2, ND3 and UDHEY-3, (3.7) followed by SPO, ND5, NSP, UDHEY-5, CSR18 and CSR19 (3.6) whereas, it was minimum in UDHEY-1, UDHEY-6, CC1, NB4D2 and SH6 (3.4). The percentage of malformed cocoons were maximum in breed PO1 (3.98) followed by SH6 (3.79) and least in breed UDHEY-6 (2.20). The malformed cocoon comprises of flimsy, thin end and deformed cocoons. Highest pupation percentage was recorded in breed ND5 (92.00) followed by ND3 and NSP (90.00). It was lowest in breeds UDHEY-6 and NB4D2 (82.00). Cocoon weight was maximum in breed UDHEY-3 (1.800) followed by ND3 (1.726) and PO3 (1.725). Breed UDHEY-6 recorded minimum weight of 1.425g. Three breeds PO3, ND3 and ND5 recorded higher single shell weight of 0.360 followed by breeds PO1, SPO, ND2 and UDHEY-3 (0.350). Lowest value of 0.290 shell was recorded in breed NB4D2. Highest and above average silk % was observed in breed UDHEY-6 and CC1 (21.75) followed by UDHEY-7 (21.44) ND5 (21.35) UDHEY-4 (21.02) are presented in Table 8.
 

Table 8: Mean Performance of bivoltine silkworm breeds for egg, larval and cocoon traits.


        
For assessing superior breeds on cumulative basis Evaluation Index method was adopted and results are presented in Table 9 and 10. The evaluation index values for fecundity, hatching percentage, larval weight for 10 mature larvae, malformed cocoon, pupation percentage, single shell weight, single cocoon weight and silk per cent. Maximum Evaluation Index value of 77.52 was observed in breed CSR19 followed by UDHEY-I and UDHEY-3 (60.17) and the least value was in NB4D2 (34.00) based on fecundity. Based on hatching E.I. value was maximum in SPO (71.10) followed by UDHEY-2 (66.42) and CSR19 (63.84). Based on larva weight of 10 mature larvae on 5th (D), E.I. value was maximum (63.63) in PO1, PO3, ND2, ND3 and UDHEY-3 and based on the 5th Instar larval duration (D) highest E.I. value of 59.80 was recorded in PO1, ND2, ND3, ND5, NSP, CC1, CSR18, CSR19, NB4D2 and SH6 indicating longer fifth age. Based on total larval duration (D), maximum E.I. value of 75.00 was obtained in breed NSP followed by CSR18, CSR19, and NB4D2 with E I value of 62.80. Based on malformed cocoon percentage, maximum E.I. value of 67.14 was obtained in breed PO1 followed by SH6, (63.26). Based on pupation rate percentage, maximum E.I. value of 70.40 was recorded in ND5 followed by ND3 and NSP with E.I. value 63.05. Based on single cocoon weight (g), maximum E.I. value of 70.22 was observed in UDHEY-3 followed by ND3 with E.I. value of (62.00). Based on single shell weight (g), maximum E.I. value of 64.00 was recorded in PO3, ND3 and ND5 followed by PO1, SPO, ND2 and UDHEY-3 (59.00). Based on silk percent, maximum E.I. value of 63.59 was recorded in UDHEY-6 and CC1 scored followed by UDHEY-7 at 60.11. The important commercial traits of silkworm on which silk industry sustains are fecundity, hatching, larval weight 5th day of 5th instar, 5th instar duration, total larval period, percentage of malformed cocoons, pupation rate, single cocoon weight, single shell weight and silk percent, the cumulative E.I. value for 5th instar and total larval life was maximum in NSP with E.I value of 67.40 followed by CSR18, CSR19 and NB4D2 at 61.30. Breed PO1, ND2, ND3, ND5 and SH6 recorded cumulative E.I values of 55.20. The cumulative E.I value for eight commercial parameters recorded maximum E.I value of 58.48 by ND3 followed by ND5 (58.37) and CSR19 (56.61) are presented in Table 10.
 

Table 9: Evaluation Index values of bivoltine silkworm breeds for larval life characters.


 

Table 10: Evaluation Index values of bivoltine silkworm breeds for commercial characters.


 
Linear Pearson Correlation analysis between parameters
 
Phenotypic data of ten parameters was analyzed by Pearson correlation coefficients (Table 11). Highly significant and positive correlations were observed between hatching percentage and 5th day larval weight (0.545). Single cocoon and shell weight with hatching percentage (0.551) and (0.492) respectively. Pupation rate with 5th day larval weight (0.524), single cocoon weight with 5th day larval weight (0.864). Single cocoon weight with 5th day larval weight (0.816). Total larval duration with Vth instar duration (0.559). Malformed cocoon percentages with duration of Vth instar (days) (0.730). Single cocoon weight with pupation rate percentage (0.536), single shell weight with pupation rate percentage (0.624). Single shell weight with Single cocoon weight (0.775). Silk percentage with single shell weight (0.470).
 

Table 11: Linear Pearson Correlation analysis on morphological traits.


 
Fecundity
 
While studying the correlations among ten economic parameters fecundity parameter showed positive correlation (P<0.01) while as with silk per cent the correlation was negative and non-significant.
 
Hatching percentage
 
Fifth day larva weight (0.545) had significant positive correlation with single cocoon weight (0.551) and shell weight (0.492).
 
Duration of Vth Instar
 
This character correlated positively with total larval duration (0.559) and malformed cocoon percentage (0.730).
 
Total larval duration
 
The total larval duration parameter was non-significant.
 
Matured larval weight
 
Mature larval weight had significant and positive correlation with pupation rate (0.524), single cocoon (0.865) and single shell weight (0.816).
 
Malformed cocoon percentage
 
This character was also non- significant and had no correlation with any parameters.
 
Pupation rate percentage
 
Pupation rate depicted significant correlation with single cocoon (0.536) and single shell weight (0.624).
 
Single cocoon weight
 
Single cocoon weight was positively correlated with single shell weight (0.775).
 
Single shell weight
 
Single shell weight had significant correlation with silk percentage (0.470; P<0.01).
 
Multivariate analysis on phenotypic traits
a. Euclidean distance metric analysis
 
The Euclidean distance metric among breeds considering all the ten parameters are presented in Table 12. The results show that higher the distance, greater the phenotypic divergence. In analyzed data, maximum distance was observed between NB4D2 and CSR19 (163.25) followed by CSR19 and UDHEY-5 (145.13), CSR19 and PO3 (142.15), CSR19 and CC1 (136.28), CSR19 and UDHEY-8 (132.28), CSR19 and UDHEY-7 (128.19), CSR19 and UDHEY-2 (128.14), CSR19 and ND2 (124.12), CSR19 and UDHEY-6 (117.63), CSR19 and SPO (108.16), CSR19 and UDHEY-4 (104.51) whereas minimum distance was observed between UDHEY-1 and UDHEY-3 (4.20) followed by UDHEY-7 and  ND2 (4.64), UDHEY-5 and PO3 (5.43) and UDHEY-8 and  UDHEY-7 (5.48).
 

Table 12: Euclidean distance metric.


 
b. Dendrogram analysis on phenotypic traits
 
The dendrogram obtained on the basis of phenotypic data elucidates the genetic relationships among breeds, considering all ten traits (Fig 1). All breeds were grouped into two clusters, Cluster A and Cluster B. Cluster A was sub divided into two sub-clusters namely cluster A-I and cluster A-II. Cluster A-I containing eight breeds PO1, SH6, NSP, ND5 UDHEY-3, UDHEY-1, CSR18 and ND3. Cluster A-II containing eleven breeds UDHEY-6, UDHEY-4, SPO, UDHEY-5, PO3, CC1, UDHEY-8 UDHEY-2, UDHEY-7, ND2 and NB4D2. Cluster B containing only one breed CSR19 (Table 13).
 

Fig 1: UPGMA Dendrogram from Euclidean distance matric on morphological traits.


 

Table 13: Grouping of breeds on the basis of UPGMA Dendrogram.


 
Principal component analysis (PCA) and Principal coordinate analysis (PCoA)
 
Principal Component Analysis (PCA) and Principal Coordinate Analysis are sort of multivariate analysis utilized in present study, where components and coordinates representing different axis of differentiation and the amount of variation accounted for by each of such axis, respectively were derived for twenty breeds of silkworm. These PCA and PCoA were used to obtain two dimensional pictorial representations of all the silkworm breeds. Genetic divergence was measured between the breeds in terms of spatial distribution of targeted genomic region presented in Fig 2 and 3. Genetic divergence was found maximum between NB4D2 and CSR19 whereas minimum distance was found between UDHEY-7 and ND2. Breeds CSR18 and CSR19, CSR19 and SPO, UDHEY-6 and SPO, UDHEY-6 and ND5, PO3 and UDHEY-2, UDHEY-5 and UDHEY-7, CC1 and ND2, UDHEY-8 and SPO, UDHEY-4 and CSR18, SH6 and UDHEY-1, UDHEY-6 and UDHEY-1, UDHEY-4 and UDHEY-1 exhibited high genetic diversity, whereas breeds, PO3 and UDHEY-5, UDHEY-3 and UDHEY-7, UDHEY-7 and ND2, UDHEY-3 and CSR18, ND5 and NSP, ND3 and ND5, UDHEY-8 and CC1, UDHEY-6 and UDHEY-4 expressed very low genetic divergence with Eigen values depicted in Table 14.
 

Fig 2: Principal component analysis considering all ten morphological traits.


 

Fig 3: Principal coordinates analysis considering all ten morphological traits.


 

Table 14: Eigen values of Principal Component Analysis and Principal Coordinate Analysis of morphological traits.


        
PCoA was calculated by computing the distance of interval data from distribution metric. PCoA results depicted CSR19 and SPO having greater divergence, whereas it was minimum between UDHEY-7 and ND2 followed by UDHEY-7 and UDHEY-2. Breeds NB4D2 and SPO; CSR19 and SPO; SPO and NB4D2; ND5 and NB4D2; NSP and UDHEY-2; UDHEY-2 and UDHEY-6; UDHEY-6 and ND5; UDHEY-1 and SPO; UDHEY-3 and SPO; CC1 and CSR19; SH6 and NB4D2; UDHEY-6 and SPO and UDHEY-4 and SPO, exhibited high genetic diversity. Breeds UDHEY-1 and CSR18; ND3 and UDHEY-3; CSR18 and PO1; UDHEY-8 and CC1; UDHEY-5 and PO3; ND5 and NSP and UDHEY-4 and UDHEY-6, showed very low genetic divergence, with Eigen values shown in Table 14.
        
Morphological characters are predominant descriptors for assessment of breeds for distinctiveness, uniformity and stability; but are always influenced by prevailing environment. In present study, the morphological characters were recorded wide phenotypic variation in chorion colour, colour of newly hatched larvae, larval marking, cocoon colour, cocoon shape, pupa colour and moth colour except egg and pupa shape. The observations recorded are in line with earlier workers, Basavaraja et al., (2005); Ram et al., (2006) and Sajgotra et al., (2016) and two patterns of larval marking, plain and crescent were observed. Plain larvae did not have any markings, whereas crescent shaped marking had different characteristic spots. In literature, different type of larval markings have been reported, these include zebra, speckled, quail, multistar and others (Tazima 1978). Larval marking is useful variable, as it helps to prevent the mixing of larvae of different strains. Cocoon shape is an extremely relevant variable in commercialization, since automated wiring admits only elliptical cocoons into the machines (Basavaraja et al., 2005). However, the breeds evaluated in the present study were oval, elongated with faint constriction and elongated constricted. All strains produced white cocoons that varied in brightness indicative of qualitative distinction. The egg laying potential of B. mori. has been noticed to be a heritable character expressed within the genotypic limitations and the results revealed maximum fecundity in breed CSR19 followed by UDHEY-3. The superior fecundity indicates their genetic constitution. Hatching percentage is an important component reflecting variability of the eggs and higher hatching percentage in breed SPO indicates the genetic and physiological state of the female moth. The results fall in line with results of earlier workers Ram et al., (2003 and 2006). Larval duration is an important attribute of economic value and shorter larval duration minimizes the quantum of total food consumption and labour requirement. In the present study, the total larval duration was longer in higher metric trait breeds in comparison to UDHEY breeds. The results are in accordance with Ram et al., (2003, 2006). Daniel et al., (2015) reported that rate of development depends on both genetic and environmental factors. Larval weight is one of the important parameters which determine not only the health of the larvae but also the quality of cocoons spun. Non-significant variation in larval weight of studied breeds was recorded. The present findings confirm the observation made by Masarat et al., (2014). Cocoon weight, shell ratio and filament length are highly heritable traits determining the quality, quantity and efficiency of the reeling. The observations made for five important parameters of cocoon stage revealed significant variations among breeds. Higher cocoon weight was recorded in breeds UDHEY-3, ND3, and PO3 indicating clear difference in maximum nutrient utilization by the breeds in 5th instar. The present findings are in agreement with Masarat et al., (2014). Present findings are also in conformity with the report of Singh et al., (2010) who concluded that environmental factors influence the physiology of the insect and also have deleterious effect on the economic traits. Cocoon shell weight is an important character in determining the silk content. Present results are in conformity with the findings of Basavaraja et al., (1998) and Sajgotra et al., (2017) who have reported that cocoon shell weight shows variability under varying environmental conditions. The variations in the present finding in the shell weight and silk percent may also be due to racial character.
        
The degree of association or relationship between two variables is measured by correlation coefficient. The correlation coefficient can be positive or negative. Positive correlation indicates that the two variables are varying in the same direction. In silkworm, there are very intimate correlations between some of the characters and an excellent character sometimes brings down the merit of other correlated character. Correlation coefficient provides the estimates of degree of association between two or more traits. In B. mori. although yield is the trait of prime importance, association of other economic traits of value also helps in improving the efficiency of selection.
        
In present study, highly significant and positive correlations were recorded between single cocoon weight and 5th day larva weight (0.864) followed by single shell weight and 5th day larval weight (0.816), single shell weight and single cocoon weight (0.775), malformed cocoon and 5th instar duration (0.730), single shell weight and pupation rate (0.624), total larval duration and 5th instar duration (0.559), single cocoon weight and hatching percentage (0.551), larval weight 5th day and hatching percentage (0.545), single cocoon weight and pupation rate (0.536), pupation rate and larval weight 5th day (0.524), single shell weight and hatching percentage (0492) and silk percent and single shell weight (0.470). These findings are in accordance with the results of Chatterjee et al., (1993 a), Kamili (1996), Kumaresan et al., (2000); Sonwalkar (2001); Chanda et al., (2013) and Chandrakanth et al., (2016).
        
The Euclidean distance metric between breeds depicted maximum distance between NB4D2 and CSR19 (163.25) followed by CSR19 and UDHEY-5 (145.13), CSR19 and PO3 (142.15), CSR19 and CC1 (136.28), CSR19 and UDHEY-8 (132.28), CSR19 and UDHEY-7 (128.19), CSR19 and UDHEY-2 (128.14), CSR19 and ND2 (124.12), CSR19 and UDHEY-6 (117.63), CSR19 and SPO (108.16), CSR19 and UDHEY-4 (104.51) while minimum distance was observed between UDHEY-1 and UDHEY-3 (4.20). The Euclidean distance metric revealed relatively high genetic variation among all twenty silkworm breeds. The considerable phenotypic variations illustrated the genetic diversity among studied breeds and the results are in accordance with reports of Srivastava (2008); Bojan et al., (2007); Nezhad et al., (2010) and Moorthy et al., (2015). UPGMA Dendogram, PCA and PCoA grouped twenty breeds into two main clusters Cluster A and cluster B. Cluster A was sub divided into two sub-clusters A-I and A-II. Cluster AI comprised of eight breeds and cluster A-II eleven breeds. Cluster B comprised of only one breed (CSR19). Similar pattern of clustering observed by Chatterjee and Pradeep (2003); Awasthi et al., (2008); Furdui et al., (2010); Pal and Moorthy (2011) and Gurjar et al., (2018) and the clustering of breeds fall in line with earlier workers.
On the basis of Euclidean distance metric, the performance of the breeds; CSR19, NB4D2, PO3, UDHEY-8, SPO, UDHEY-4, ND2, CC1, UDHEY-2, UDHEY-5, UDHEY-7, UDHEY-6 have been identified as promising breeds and are recommended for further breeding to boost bivoltine silk production especially in sericulture zones of northern India.
The first author sincerely acknowledges Professor and Head of Department Division of Sericulture SKUAST-Jammu, for providing facilities and support for carrying out research.

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