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Research article · 2026 · Full text

International Journal of Agriculture and Nutrition

Socio-economic challenges and opportunities in sericulture: A case study of women silkworm rearers in Baramulla district, North Kashmir

Ishtiyaq Ahmad BhatRK Sharma

Volume 8(1) · Pages 05–13 · DOI: 10.33545/26646064.2026.v8.i1a.331 ↗

Research areasSilkworms and Sericulture ResearchSilk-based biomaterials and applicationsGender Studies in Language

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Abstract

Author-written

Sericulture plays a vital role in rural livelihoods by providing sustainable employment opportunities, particularly for women. The present study examines the socio-economic challenges and opportunities faced by women silkworm rearers in Baramulla district of North Kashmir, with special emphasis on their participation in sericulture-based activities. An ex-post facto research design was adopted, and a total of 120 women silkworm rearers were selected from five sericulture zones using the proportionate allocation method. Data were collected through a structured and pre-tested interview schedule and analyzed using descriptive statistical tools such as frequency, percentage, mean, and standard deviation. The results revealed that the majority of respondents were middle-aged (70.84%), illiterate (61.67%), and possessed medium-sized landholdings (50.00%). Most women (62.50%) practiced agriculture along with sericulture as their primary occupation and earned a medium annual income ranging from ₹0.90 to 1.64 lakh (76.67%). The respondents exhibited medium levels of scientific orientation (81.67%), economic motivation (86.67%), and risk orientation (79.17%). However, access to information sources was limited, with 48.34% of respondents reporting low exposure. Despite this constraint, a considerable proportion maintained medium levels of extension contact (74.17%), indicating scope for strengthening extension-based interventions. The study highlights the need for targeted efforts such as education, skill-based training, improved access to information, and enhanced extension support to strengthen women’s participation in sericulture. These interventions can significantly contribute to women’s economic empowerment and the sustainable development of the sericulture sector in the region.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Sericulture is an important agro-based industry that helps reduce poverty and create jobs in rural areas. View evidence ↗

      Why it matters

      Sericulture is an important agro-based industry that helps reduce poverty and create jobs in rural areas.

      In the paper's own words

      “Sericulture, the art and science of rearing silkworms for silk production, is a significant agro-based, export-oriented industry that plays a crucial role in employment generation and poverty alleviation, particularly in rural economies.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Because sericulture is labor-intensive and requires careful handling, it is especially well-suited for women's participation. View evidence ↗

      Why it matters

      Because sericulture is labor-intensive and requires careful handling, it is especially well-suited for women's participation.

      In the paper's own words

      “The industry is highly labour-intensive and requires careful handling of silkworms, making it particularly suitable for women.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • Baramulla is one of the primary districts for silk production within the 20 districts of Jammu and Kashmir where sericulture is practiced. View evidence ↗

      Why it matters

      Baramulla is one of the primary districts for silk production within the 20 districts of Jammu and Kashmir where sericulture is practiced.

      In the paper's own words

      “In Jammu and Kashmir, sericulture is practiced across 20 districts, with Baramulla being one of the major silk-producing districts.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  2. The question

    • The study aims to evaluate the socio-economic profile, the challenges faced, and the opportunities available for women silkworm rearers in the Baramulla district. View evidence ↗

      The question

      The study aims to evaluate the socio-economic profile, the challenges faced, and the opportunities available for women silkworm rearers in the Baramulla district.

      In the paper's own words

      “The present study entitled “Socio-Economic Challenges and Opportunities in Sericulture: A Case Study of Women Silkworm Rearers in Baramulla District, North Kashmir” aims to assess the socio-economic profile, challenges, and opportunities of women engaged in sericulture.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • Researchers used an ex-post facto design to sample 120 women rearers from five zones: Pattan, Tangmarg, Sopore, Uri, and Baramulla. View evidence ↗

      What they did

      Researchers used an ex-post facto design to sample 120 women rearers from five zones: Pattan, Tangmarg, Sopore, Uri, and Baramulla.

      In the paper's own words

      “An ex-post facto research design was adopted to assess the socio-economic characteristics of women silkworm rearers. A total sample of 120 women silkworm rearers was selected using the proportionate allocation sampling technique from five sericulture zones, namely Pattan, Tangmarg, Sopore, Uri, and Baramulla.”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Data were gathered using a pre-tested, structured interview schedule created with expert input. View evidence ↗

      What they did

      Data were gathered using a pre-tested, structured interview schedule created with expert input.

      In the paper's own words

      “Primary data were collected through a well-structured and pre-tested interview schedule developed in consultation with subject matter experts.”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The analysis employed descriptive statistics, including mean, standard deviation, frequency, and percentage. View evidence ↗

      What they did

      The analysis employed descriptive statistics, including mean, standard deviation, frequency, and percentage.

      In the paper's own words

      “The collected data were analyzed using appropriate descriptive statistical tools such as frequency, percentage, mean, and standard deviation to draw meaningful inferences regarding the socio-economic status of the respondents.”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Most of the women rearers (70.84%) were in the middle-age category, defined as 39 to 60 years old. View evidence ↗

      What they found

      Most of the women rearers (70.84%) were in the middle-age category, defined as 39 to 60 years old.

      In the paper's own words

      “the majority (70.84%) of women silkworm rearers belonged to the middle-age group (39-60 years)”

      Page 2

      Found in: Results and Discussion Age

      Read it in the full textOpen PDF at page 2 ↗
    • A majority of the respondents (61.67%) were illiterate. View evidence ↗

      What they found

      A majority of the respondents (61.67%) were illiterate.

      In the paper's own words

      “The educational status of respondents (Table 2 and Figure 2) revealed that a majority (61.67%) were illiterate.”

      Page 3

      Found in: Education

      Read it in the full textOpen PDF at page 3 ↗
    • Half of the participants (50.00%) owned medium-sized landholdings of 3 to 5 kanals. View evidence ↗

      What they found

      Half of the participants (50.00%) owned medium-sized landholdings of 3 to 5 kanals.

      In the paper's own words

      “half of the respondents (50.00%) possessed medium landholdings (3-5 kanals)”

      Page 4

      Found in: Landholding

      Read it in the full textOpen PDF at page 4 ↗
    • For most respondents (62.50%), their primary occupation was a combination of agriculture and sericulture. View evidence ↗

      What they found

      For most respondents (62.50%), their primary occupation was a combination of agriculture and sericulture.

      In the paper's own words

      “the majority of respondents (62.50%) practiced agriculture along with sericulture as their main occupation.”

      Page 4

      Found in: Occupation

      Read it in the full textOpen PDF at page 4 ↗
    • The majority of women (76.67%) earned a medium annual income between ₹90,001 and ₹1,64,000. View evidence ↗

      What they found

      The majority of women (76.67%) earned a medium annual income between ₹90,001 and ₹1,64,000.

      In the paper's own words

      “76.67% of respondents belonged to the medium income group (₹90,001-1,64,000)”

      Page 5

      Found in: Annual income

      Read it in the full textOpen PDF at page 5 ↗
    • Nearly half of the respondents (48.34%) reported low exposure to information sources. View evidence ↗

      What they found

      Nearly half of the respondents (48.34%) reported low exposure to information sources.

      In the paper's own words

      “48.34% of respondents had low exposure to information sources”

      Page 6

      Found in: Sources of information

      Read it in the full textOpen PDF at page 6 ↗
    • A significant portion of the women (74.17%) maintained a medium level of contact with extension workers. View evidence ↗

      What they found

      A significant portion of the women (74.17%) maintained a medium level of contact with extension workers.

      In the paper's own words

      “74.17% of respondents had a medium level of extension contact”

      Page 6

      Found in: Extension contact

      Read it in the full textOpen PDF at page 6 ↗
    • Most respondents (81.67%) showed a medium level of scientific orientation. View evidence ↗

      What they found

      Most respondents (81.67%) showed a medium level of scientific orientation.

      In the paper's own words

      “the majority of respondents (81.67%) possessed a medium level of scientific orientation”

      Page 6

      Found in: Scientific orientation

      Read it in the full textOpen PDF at page 6 ↗
    • The majority of the women (79.17%) demonstrated a medium level of risk orientation. View evidence ↗

      What they found

      The majority of the women (79.17%) demonstrated a medium level of risk orientation.

      In the paper's own words

      “most respondents (79.17%) exhibited medium risk orientation”

      Page 7

      Found in: Risk orientation

      Read it in the full textOpen PDF at page 7 ↗
    • A high percentage of respondents (86.67%) possessed medium economic motivation. View evidence ↗

      What they found

      A high percentage of respondents (86.67%) possessed medium economic motivation.

      In the paper's own words

      “86.67% of respondents had medium economic motivation”

      Page 7

      Found in: Economic motivation

      Read it in the full textOpen PDF at page 7 ↗
  5. What it means

    • The authors conclude that targeted interventions in adult education, skill training, and extension services are necessary to improve productivity and empower women in the sector. View evidence ↗

      What it means

      The authors conclude that targeted interventions in adult education, skill training, and extension services are necessary to improve productivity and empower women in the sector.

      In the paper's own words

      “The findings emphasize the need for focused interventions such as adult education programs, skill-based training, strengthened extension services, and improved access to information and institutional support.”

      Page 8

      Found in: Conclusion

      Read it in the full textOpen PDF at page 8 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Percentage: Young age vs Middle age vs Old age
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Percentage: Young age vs Middle age vs Old age

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 6 (page 5) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Percentage: Low (Rs 40000 - Rs... vs Medium (Rs 90001-164000) vs High (Above Rs 164000)
Replotted from Table 6 (page 5) of the original paper. Every bar is the paper's own table value.

Replotted from Table 6 (page 5) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Percentage: Low (Rs 40000 - Rs... vs Medium (Rs 90001-164000) vs High (Above Rs 164000)

Replotted from Table 6 (page 5) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Distribution of the respondents according to their age N = 120Table 1Page 2Distribution of the respondents according to their education N = 120Table 2Page 3Distribution of the respondents according to their family size N = 120Table 3Page 3Distribution of the respondent according to their ageFigure 1Page 3Distribution of the respondents according to their educationFigure 2Page 3Distribution of the respondents according to their land holding N = 120Table 4Page 4Distribution of the respondents according to their occupation N = 120Table 5Page 4Distribution of the respondents according to their family sizeFigure 3Page 4Distribution of the respondents according to their land holdingFigure 4Page 4Distribution of the respondents according to their annualTable 6Page 5Distribution of the respondents according to theirTable 7Page 5Distribution of the respondents according to their occupationFigure 5Page 5Distribution of the respondents according to their annual incomeFigure 6Page 5Distribution of the respondents according to their experience in sericultureFigure 7Page 5Distribution of the respondents according to exposure to the sources of information N = 120Table 8Page 6Distribution of the respondents according to their contact with extension workers N = 120Table 9Page 6Distribution of the respondents according to exposure to the sources of informationFigure 8Page 6Distribution of the respondents according to their contact with extension workersFigure 9Page 6Distribution of the respondents according to their scientific orientation N = 120Table 10Page 7Distribution of the respondents according to their riskTable 11Page 7Distribution of the respondents according to their economic motivation N = 120Table 12Page 7Distribution of the respondents according to their scientific orientationFigure 10Page 7Distribution of respondents on the basis of risk orientationFigure 11Page 7Distribution of respondents on the basis of economic motivationFigure 12Page 8
FULL TEXT Original article · reflowed for reading

Introduction

Sericulture, the art and science of rearing silkworms for silk production, is a significant agrobased, export-oriented industry that plays a crucial role in employment generation and poverty alleviation, particularly in rural economies. Globally recognized as the "Queen of Textiles," silk is highly valued for its quality and economic importance (Gangopadhyay, 2008; Rani, 2009) [9,21] . Sericulture, the art and science of rearing silkworms for silk production, is a significant agro-based and export-oriented industry that plays a crucial role in employment generation and poverty alleviation, particularly in rural economies. Silk, often referred to as the "Queen of Textiles," is highly valued for its aesthetic, economic, and cultural importance (Gangopadhyay, 2008; Rani, 2009) [9,21] . The sericulture sector contributes to multiple development goals, including poverty reduction, gender empowerment, environmental sustainability, and rural livelihood security. It offers a sustainable income-generating opportunity, especially for small and marginal farmers, as it requires relatively low investment and provides comparatively high returns. Several studies have reported that sericulture offers one of the highest benefit-cost ratios among agricultural enterprises, making it an attractive livelihood option in developing countries such as India (Malik, 2009) [15] . India is the second-largest producer of silk in the world after China, contributing approximately 41.40% of global silk production (Anonymous, 2023) [1] . During 2022-23, the country produced about 38,913 metric tonnes of raw silk. Major silk-producing states include Karnataka, Andhra Pradesh, West Bengal, Tamil Nadu, and Jammu & Kashmir, together accounting for nearly 97% of total mulberry silk production (Bhat, 2014) [5] . Jammu and Kashmir occupies a unique position in Indian sericulture due to its favourable temperate climate, which is highly suitable for bivoltine silk production comparable to that of China and Japan (Anonymous, 2021) [3] . The region has about 2,850 hectares under mulberry cultivation, of which approximately 30.17% lies in the Kashmir division (Bhat, 2014) [5] . Despite this potential, sericulture in Jammu and Kashmir has experienced a gradual decline over the past few decades, largely due to competition from high-value horticultural and agricultural crops. One of the most distinctive features of sericulture is its strong association with women's participation. The industry is highly labour-intensive and requires careful handling of silkworms, making it particularly suitable for women. Studies indicate that women contribute more than 53% of the total labour in sericulture operations, including mulberry cultivation, silkworm rearing, cocoon harvesting, and silk reeling (Gangopadhyay, 2008) [9] . Women's involvement in sericulture not only provides income but also promotes social empowerment and reduces gender disparities in rural areas (Lakshmanan & Devi, 2007) [14] . In Jammu and Kashmir, sericulture is practiced across 20 districts, with Baramulla being one of the major silkproducing districts. Baramulla covers an area of 4,190 km² and comprises 16 tehsils, 26 development blocks, and 543 villages. The district has 231 villages engaged in sericulture activities, with a total of 1,019 silkworm rearers, of whom only 167 are women (Anonymous, 2022) [2] . This low representation highlights the untapped potential of women's participation in the sector. Several socio-economic constraints such as limited access to quality silkworm seed, inadequate training, poor technical guidance, lack of market linkages, land fragmentation, and insufficient financial support continue to restrict women's effective participation in sericulture. Despite these challenges, sericulture offers substantial opportunities for women in Baramulla. The Government of Jammu and Kashmir has introduced several support measures, including free mulberry plantation material, silkworm rearing kits, and cocoon drying facilities to enhance productivity and income levels (Anonymous, 2021) [3] . Furthermore, increasing demand for high-quality and organic silk in national and international markets presents promising prospects for the sector. With appropriate training, improved access to information, and institutional support, women silkworm rearers can significantly improve their socio-economic conditions. The present study entitled "Socio-Economic Challenges and Opportunities in Sericulture: A Case Study of Women Silkworm Rearers in Baramulla District, North Kashmir" aims to assess the socio-economic profile, challenges, and opportunities of women engaged in sericulture. The study focuses on variables such as education, landholding, income, experience, access to information, extension contact, and adoption-related traits to understand how sericulture can serve as a sustainable livelihood option for rural women.

Materials and Methods

The study was conducted in Baramulla district, the largest district of the Kashmir Valley, covering an area of 4,243 km² and comprising 231 sericulture-practicing villages. An ex-post facto research design was adopted to assess the socio-economic characteristics of women silkworm rearers. A total sample of 120 women silkworm rearers was selected using the proportionate allocation sampling technique from five sericulture zones, namely Pattan, Tangmarg, Sopore, Uri, and Baramulla. Primary data were collected through a well-structured and pre-tested interview schedule developed in consultation with subject matter experts. Twelve independent variables were studied, namely age, education, family size, landholding, occupation, annual income, experience in sericulture, sources of information, extension contact, risk orientation, economic motivation, and scientific orientation. These were examined in relation to two dependent variables: knowledge and adoption of sericulture technologies. The collected data were analyzed using appropriate descriptive statistical tools such as frequency, percentage, mean, and standard deviation to draw meaningful inferences regarding the socio-economic status of the respondents.

Results and Discussion Age

The data presented in Table 1 and Figure 1 indicate that the majority (70.84%) of women silkworm rearers belonged to the middle-age group (39-60 years), followed by 15.00% in the young age group (23-38 years) and 14.16% in the old age group (above 60 years). The dominance of the middleaged group may be attributed to their greater experience, physical ability, and decision-making capacity. This group is generally more receptive to innovations and capable of adopting improved technologies. Similar findings were reported by Hadimani et al. (2017) [11] and Philip (2015) [20] .

Figure 1. Distribution of the respondent according to their age
Distribution of the respondent according to their age↗ Enlarge
Figure 1
Distribution of the respondent according to their age

Distribution of the respondent according to their age

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Original paper figureSource PDF · page 3 ↗
Table 1. Distribution of the respondents according to their age N = 120
S. No.CategoryFrequencyPercentage
1Young age1815.00
2Middle age8570.84
3Old age1714.16
Total120100.00
Mean = 49.40; S.D. = 11.33

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Table 1
Distribution of the respondents according to their age N = 120

Distribution of the respondents according to their age N = 120

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Education

The educational status of respondents (Table 2 and Figure 2) revealed that a majority (61.67%) were illiterate. This was followed by high school education (15.00%), higher secondary education (8.33%), primary education (7.50%), graduation (5.00%), and middle school education (2.50%).

Figure 2. Distribution of the respondents according to their education
Distribution of the respondents according to their education↗ Enlarge
Figure 2
Distribution of the respondents according to their education

Distribution of the respondents according to their education

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Table 2. Distribution of the respondents according to their education N = 120
S. No.Education levelFrequencyPercentage
1Illiterate7461.67
2Primary School97.50
3Middle School32.50
4High School1815.00
5Higher Secondary108.33
6Graduation65.00
Total120100.00

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Table 2
Distribution of the respondents according to their education N = 120

Distribution of the respondents according to their education N = 120

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The high level of illiteracy may be attributed to limited access to schools in earlier decades, socio-cultural constraints, and lack of emphasis on female education. These findings are in agreement with Geetha (2010) [10] , who also reported a high proportion of illiterate women among sericulture practitioners.

Family Size

Data presented in Table 3 and Figure 3 indicate that most respondents (70.84%) belonged to medium-sized families (6-9 members), followed by small families (15.83%) and large families (13.33%). The prevalence of medium-sized families reflects changing socio-economic conditions, increasing awareness of family planning, and rising costs of living. Similar observations were reported by Dhruw (2008) [8] .

Figure 3. Distribution of the respondents according to their family size
Distribution of the respondents according to their family size↗ Enlarge
Figure 3
Distribution of the respondents according to their family size

Distribution of the respondents according to their family size

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Table 3. Distribution of the respondents according to their family size N = 120
S. No.CategoryFrequencyPercentage
1Small (Up to 5 members)1915.83
2Medium (6-9 members)8570.84
3Large (Above 9 members)1613.33
Total120100.00
Mean = 7.308; S.D. = 1.855

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Table 3
Distribution of the respondents according to their family size N = 120

Distribution of the respondents according to their family size N = 120

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Landholding

As shown in Table 4 and Figure 4, half of the respondents (50.00%) possessed medium landholdings (3-5 kanals), while 39.17% had small landholdings (up to 2 kanals) and only 10.83% owned large landholdings (above 5 kanals). This pattern reflects continuous land fragmentation due to generational division of land. These findings corroborate the results reported by Mir (2013).

Figure 4. Distribution of the respondents according to their land holding
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Figure 4
Distribution of the respondents according to their land holding

Distribution of the respondents according to their land holding

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Table 4. Distribution of the respondents according to their land holding N = 120
S. No.Land HoldingFrequencyPercentage
1Small (1-2 Kanals)4739.17
2Medium (3- 5 kanals)6050.00
3Large (Above 5 kanals)1310.83
Total120100.00
Mean = 2.933; S.D = 2.003

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Table 4
Distribution of the respondents according to their land holding N = 120

Distribution of the respondents according to their land holding N = 120

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Occupation

The data in Table 5 and Figure 5 show that the majority of respondents (62.50%) practiced agriculture along with sericulture as their main occupation. This was followed by agriculture + sericulture + dairy (12.50%) and agriculture + sericulture + business (10.00%). A small proportion depended solely on sericulture (6.66%). The results indicate that sericulture functions largely as a supplementary livelihood activity alongside agriculture. Similar trends were reported by Geetha (2010) [10] and Hadimani et al. (2017) [11] .

Figure 5. Distribution of the respondents according to their occupation
Distribution of the respondents according to their occupation↗ Enlarge
Figure 5
Distribution of the respondents according to their occupation

Distribution of the respondents according to their occupation

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Table 5. Distribution of the respondents according to their occupation N = 120
S. No.CategoryFrequencyPercentage
1Sericulture86.66
2Agriculture + Sericulture7562.50
3Agriculture + Sericulture + Dairy1512.50
4Sericulture + Agriculture + Livestock75.84
5Sericulture + Horticulture32.50
6Agriculture + Sericulture + Business1210.00
Total120100.00

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Table 5
Distribution of the respondents according to their occupation N = 120

Distribution of the respondents according to their occupation N = 120

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Annual income

Table 6 and Figure 6 indicate that 76.67% of respondents belonged to the medium income group (₹90,001-1,64,000), while 17.50% fell in the low-income group and only 5.83% in the high-income category. This income distribution reflects the dependence on agriculture-based livelihoods and limited diversification opportunities. Similar findings were reported by Dar et al. (2009) [6] and Hajam et al. (2021) [12] .

Figure 6. Distribution of the respondents according to their annual income
Distribution of the respondents according to their annual income↗ Enlarge
Figure 6
Distribution of the respondents according to their annual income

Distribution of the respondents according to their annual income

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Table 6. Distribution of the respondents according to their annual
S. No.CategoryFrequencyPercentage
1Low (Rs 40000 - Rs 90000)2117.50
2Medium (Rs 90001-164000)9276.67
3High (Above Rs 164000)0705.83
Total120100.00
Mean = 112795.43 S. D = 51463.46

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Table 6
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Experience in sericulture

The data presented in Table 7 and Figure 7 that 60.83% of respondents had medium experience (9-28 years), followed by 20.00% with low experience and 19.17% with high experience. The predominance of medium experience corresponds with the age distribution of respondents and indicates sustained engagement in sericulture over time. These findings are in line with Baqual et al. (2014) and Hajam (2021) [12] .

Figure 7. Distribution of the respondents according to their experience in sericulture
Distribution of the respondents according to their experience in sericulture↗ Enlarge
Figure 7
Distribution of the respondents according to their experience in sericulture

Distribution of the respondents according to their experience in sericulture

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Table 7. Distribution of the respondents according to their
S. No.CategoryFrequencyPercentage
1.Low (up to 8 years)2420.00
2.Medium (9- 28 years)7360.83
3.High (Above 28 years)2319.17
Total120100.00
Mean = 18.791; S.D. 10.075

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Sources of information

Table 8 and Figure 8 show that 48.34% of respondents had low exposure to information sources, 45.84% had medium exposure, and only 5.84% had high exposure. Limited literacy levels and poor access to print and digital media may explain this trend. Restricted access to information can adversely affect awareness and adoption of improved sericulture practices. Similar observations were reported by More (2000).

Figure 8. Distribution of the respondents according to exposure to the sources of information
Distribution of the respondents according to exposure to the sources of information↗ Enlarge
Figure 8
Distribution of the respondents according to exposure to the sources of information

Distribution of the respondents according to exposure to the sources of information

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Table 8. Distribution of the respondents according to exposure to the sources of information N = 120
S. No.CategoryFrequencyPercentage
1Low5848.34
2Medium5545.84
3High075.84
Total120100.00
Mean = 1.575; S.D. = 0.603

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Table 8
Distribution of the respondents according to exposure to the sources of information N = 120

Distribution of the respondents according to exposure to the sources of information N = 120

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Extension contact

The results in Table 9 and Figure 9 indicate that 74.17% of respondents had a medium level of extension contact, while 14.16% and 11.67% had low and high levels, respectively. Regular interactions with extension personnel, input dealers, and progressive farmers likely contributed to moderate extension exposure. These findings are consistent with those of Sunildutt and Chole (2002) [23] and Hadimani et al. (2017) [11] .

Figure 9. Distribution of the respondents according to their contact with extension workers
Distribution of the respondents according to their contact with extension workers↗ Enlarge
Figure 9
Distribution of the respondents according to their contact with extension workers

Distribution of the respondents according to their contact with extension workers

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Table 9. Distribution of the respondents according to their contact with extension workers N = 120
S. No.CategoryFrequencyPercentage
1Low1714.16
2Medium8974.17
3High1411.67
Total120100.00
Mean = 3.308; S.D = 0.877

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Table 9
Distribution of the respondents according to their contact with extension workers N = 120

Distribution of the respondents according to their contact with extension workers N = 120

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Scientific orientation

The data in Table 10 and Figure 10 show that the majority of respondents (81.67%) possessed a medium level of scientific orientation, followed by low (14.17%) and high (4.17%) levels. This suggests that while respondents are somewhat receptive to scientific practices, limitations in education and technical exposure restrict higher adoption levels. Similar results were reported by Hadimani et al. (2017) [11] .

Figure 10. Distribution of the respondents according to their scientific orientation
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Figure 10
Distribution of the respondents according to their scientific orientation

Distribution of the respondents according to their scientific orientation

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Table 10. Distribution of the respondents according to their scientific orientation N = 120
S. No.CategoryFrequencyPercentage
1Low1714.17
2Medium9881.67
3High054.17
Total120100.00
Mean = 12.25; S.D. = 1.696

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Distribution of the respondents according to their scientific orientation N = 120

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Risk orientation

As presented in Table 11 and Figure 11, most respondents (79.17%) exhibited medium risk orientation, followed by low (17.50%) and high (3.33%) risk orientation. This may be attributed to their middle age, family responsibilities, and cautious approach toward adopting new practices. Comparable findings were reported by Nataraju (2012) [19] and Dhepe (2014) [7] .

Figure 11. Distribution of respondents on the basis of risk orientation
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Figure 11
Distribution of respondents on the basis of risk orientation

Distribution of respondents on the basis of risk orientation

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Table 11. Distribution of the respondents according to their risk
S. No.CategoryFrequencyPer cent
1Low2117.50
2Medium9579.17
3High43.33
Total120100.00
Mean = 8.558; S.D. = 1.186

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Distribution of the respondents according to their risk

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Economic motivation

Table 12 and Figure 12 reveal that 86.67% of respondents had medium economic motivation, followed by 10.00% with high and 3.33% with low motivation. This indicates a strong desire among women to improve their economic condition despite existing constraints. Similar trends were observed by Siddalingayya (2011) [22] and Mandlik (2012) [16] .

Figure 12. Distribution of respondents on the basis of economic motivation
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Figure 12
Distribution of respondents on the basis of economic motivation

Distribution of respondents on the basis of economic motivation

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Table 12. Distribution of the respondents according to their economic motivation N = 120
S. No.CategoryFrequencyPer cent
1Low1210.00
2Medium10486.67
3High043.33
Total120100.00
Mean = 8.941; S.D. = 1.317

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Table 12
Distribution of the respondents according to their economic motivation N = 120

Distribution of the respondents according to their economic motivation N = 120

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Conclusion

The study provides comprehensive insights into the socioeconomic profile of women silkworm rearers in Baramulla district of North Kashmir and highlights both the challenges and opportunities within the sector. Most women engaged in sericulture are middle-aged, illiterate, and belong to medium-sized families with moderate landholdings. Although they exhibit medium levels of scientific orientation, economic motivation, and risk-taking ability, their access to information sources remains limited. Despite these constraints, moderate extension contact and diversified livelihood strategies indicate significant potential for growth. The findings emphasize the need for focused interventions such as adult education programs, skill-based training, strengthened extension services, and improved access to information and institutional support. Enhancing these components will not only increase productivity and income from sericulture but also promote women's empowerment and sustainable development of the sericulture sector in the region.

References

22 in the original paper
  1. Anonymous. Annual report. Office of the Deputy Director, Sericulture Development Department, Baramulla; 2022. p. 1-95.
  2. Anonymous. Annual report. Sericulture Development Department, Jammu and Kashmir Government; 2021. p. 1-110.
  3. Baqual MF, Mir MA, Mir SA, Afzal S, Saleem S, Wani SA. Cocoon productivity as influenced by experience, level of involvement and contact of farmers with research institutions. Research Journal of Agricultural Sciences. 2014;5(4):700-702.
  4. Bhat TA. An analysis of public-private partnership in sericulture in Jammu and Kashmir UT (India). Journal of Economics and Sustainable Development. 2014;5(11):121-126.
  5. Dar HU, Farhat IQS, Munshi NA, Tantray AM, Sheikh ND. Constraints of silkworm rearers in Kashmir Valley for adoption of rearing technologies. Indian Journal of Sericulture. 2009;48(1):96-99.
  6. Dhepe AR. Knowledge and adoption of improved black gram production practices by the farmers. M.Sc. (Agri.) Thesis. Parbhani: Vasantrao Naik Marathwada Krishi Vidyapeeth; 2014. p. 1-85.
  7. Dhruw KS. A study on adoption of recommended maize production technology among the farmers of Kanker district of Chhattisgarh State. M.Sc. (Agri.) Thesis. Raipur: Indira Gandhi Krishi Vishwavidyalaya; 2008. p. 1-65.
  8. Gangopadhyay D. Sericulture industry in India: A review. Indian Science and Technology Document; 2008. p. 1-40.
  9. Geetha GS. Socio-economic profile of farm women in sericulture activities: A case study of Mysore. Journal of Agricultural Sciences. 2010;44(4):872-876.
  10. Hadimani DK, Moulasab JA, Manjunath. Impact study on sericulture production technology adopted by farmers of Bidar district, Karnataka, India. International Journal of Current Microbiology and Applied Sciences. 2017;6(11):2368-2374.
  11. Hajam OA, Qadri SFI, Malik MA, Dar MA, Malik FA. Knowledge and adoption level of improved sericulture technologies by farmers of Kothar area of Anantnag district of Kashmir. Journal of Entomology and Zoology Studies. 2021;9(1):267-271.
  12. Lakshmi RCS. Potential for participation of farm women in sericulture sector. Keynote address, National Conference on Women in Agriculture. Mysore; 2007. p. 1-15.
  13. Lakshman S, Devi RG. Employment generation opportunities in sericulture. Indian Silk. 2007;46(7):1820.
  14. Malik MA. Kashmir sericulture: Its economic potential. International Journal of Agricultural Sciences. 2009;5(2):619-623.
  15. Mandlik SP. Knowledge and adoption of integrated pest management technology in pigeon pea. M.Sc. (Agri.) Thesis. Parbhani: Marathwada Krishi Vidyapeeth; 2012. p. 1-92.
  16. Mir MA. Impact of adoption of sericulture technologies on cocoon production and productivity in Kashmir. Ph.D. Thesis. Srinagar: Sher-e-Kashmir University of Agricultural Sciences and Technology; 2013. p. 26-53.
  17. More SV. A study of aspiration of tribal women. M.Sc. (Agri.) Thesis (Unpublished). Dapoli: Konkan Krishi Vidyapeeth; 2000. p. 1-78.
  18. Nataraju BY. Participation of women in dairy farming in Chickmagalur district. M.Sc. (Agri.) Thesis (Unpublished). Bangalore: University of Agricultural Sciences; 2012. p. 1-84.
  19. Philip LM. Information technology for promoting adoption of husbandry practices among farm women. Science Resource. 2015;4(10):115-117.
  20. Rani U. Do economic reforms influence home-based work? Evidence from India. Feminist Economics. 2009;15(3):191-225.
  21. Siddalingayya H. Knowledge and adoption pattern of bio-fertilizers by farmers of Tungabhadra command area. M.Sc. (Agri.) Thesis. Dharwad: University of Agricultural Sciences; 2011. p. 1-90.
  22. Sunildutt J, Chole RA. Adoption of sericultural practices by sericulturists. Indian Journal of Sericulture. 2002;41(1):1-6.