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Journal articles on the topic 'Cuddy-della valle index'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

HANUMANTHAPPA, R., and M. Y. TEGGI. "Growth rate of pineapple production in India." Journal of Farm Sciences 37, no. 01 (2024): 47–49. http://dx.doi.org/10.61475/jfs.2024.v37i1.11.

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Pineapple (Ananas comosus) is one of the most important tropical and subtropical fruit of Bromeliaceae family, cultivated almost one third part of the world. Pineapple takes almost 16 -22 months to mature for harvesting. The main objective of this paper is to analyzed the growth rate in area, production and productivity of pineapple in India as well as Karnataka. The time series data from 2002-03 to 2021-22 for the study. The results revealed that the area (1.94%), production (2.56%) and productivity (0.64%) showed that positive and significant at one per cent level of probability in India. In

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Hanji, Shreya S., Shashi Kiran, A. S., Gaddi, G.M., and Somashekar, K.S. "Growth Dynamics of Sugarcane in North Karnataka, India." Journal of Scientific Research and Reports 30, no. 7 (2024): 869–76. http://dx.doi.org/10.9734/jsrr/2024/v30i72197.

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Sugarcane (Saccharum officinarum) holds immense significance in India's agricultural, economic and industrial spheres. In Karnataka, sugarcane was cultivated on an area of 6.37 lakh hectares with annual production of 61.15 million tonnes (2021-22). Bagalkote district ranked as the state's second-largest sugarcane producer, accounting for 16.82 per cent of the total cultivated area and contributed for 15.06 per cent in the total production of the state. The present study was conducted to know trends in sugarcane cultivation in Karnataka and Bagalkote district. The secondary data on area, produc

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Prakash, Gyan, Manish Kumar, Shiv Kumar Rana, and Sukhi Gowda KE. "A Statistical Approach for Assessment of Growth Rate and Instability of Wheat in Selected States of India." Journal of Modern Applied Statistical Methods 24, no. 1 (2024): 75–88. https://doi.org/10.56801/jmasm.v24.i1.5.

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In the present paper, the analysis of growth and instability in production, area and yield of wheat for some wheat growing states of India is carried out by computing compound growth rate (CGR) and Cuddy-Della Valle (CDV) instability index on utilizing secondary time series data of wheat pertaining to the period 2011-2020 in the concerned states. The percentage change in production, area and yield of wheat is examined by considering the base year as 2011. Moreover, the percentage share of production, area and yield of wheat are demonstrated graphically for the year 2020.

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Honyal, Arun Shivayogi, D. H. Mitrannavar, G. M. Hiremath, M. R. Nayak, and Anilkumar G. K. "Growth Dynamics of Poultry Products in India and Karnataka: A Focus on Egg and Meat Production." Journal of Scientific Research and Reports 31, no. 1 (2025): 57–64. https://doi.org/10.9734/jsrr/2025/v31i12745.

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The present study evaluates the growth dynamics of egg and meat production in India and Karnataka from 2008-09 to 2022-23. The study was based on secondary data, Compound Annual Growth Rate, Coefficient of Variance and Cuddy Della Valley Instability Index were used to analyse the Growth and instability in Production of egg and mean in India and Karnataka At the national level, egg production increased significantly from 62.41 billion to 143.25 billion, with a Compound Annual Growth Rate (CAGR) of 6.63 per cent, while meat production grew from 4.2 million metric tons to 9.8 million metric tons,

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Gunadal, Narayan Murigeppa, N. M. Kerur, Balachandra K. Naik, Vilas S. Kulkarni, and T. R. Shashidhar. "Unveiling India’s Export Success: The Remarkable Performance of Gherkins." Journal of Scientific Research and Reports 30, no. 8 (2024): 90–101. http://dx.doi.org/10.9734/jsrr/2024/v30i82227.

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Aim: As India is a major producer and exporter of gherkins in the world and Karnataka is the largest producer and exporter of gherkins in the country. The study aims to analyze the significant export performance of gherkins (Fresh/chilled, provisionally preserved and provisionally preserved by vinegar) from India, highlighted their remarkable performance in oversea markets. India's horticultural sector has witnessed significant growth, particularly in gherkins production and exports, call attention to its pivotal role in the global market. Place and Duration of the Study: This study analyzed t

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Hassan, Bakhtaver, Mahua Bhattacharjee, and Shabir A. Wani. "Growth Optima and Supply-Chain of the Walnut Crop in India." Asian Journal of Agriculture and Rural Development 10, no. 2 (2020): 708–20. http://dx.doi.org/10.18488/journal.ajard.2020.102.708.720.

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This paper intends to study the Spatio-temporal growth of the walnut crop in Jammu & Kashmir, which holds a monopoly in walnut production in India. It also aims to assess the efficiency of the existing marketing channels of the walnut-crop in the region. A multi-stage random selection technique was used to collect primary data from three major walnut producing districts to identify the existing marketing channels and estimate their respective efficiencies. Compound-Annual-Growth-rate and Cuddy-Della-Valle index was used to estimate the growth of the walnut crop. Shepherd’s Marketing Effici

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Yacine, Limani, Madani Toufik, and Khaznadar Mouna. "Assessing the Dynamics of Major Cereals Productivity in Algeria: Case of Setif." Journal of Agronomy, Technology and Engineering Management (JATEM) 8, no. 1 (2025): 1330–38. https://doi.org/10.55817/msiz6720.

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In this study, five methods were used to find instability and the growth trend in yield for four cereal crops (Durum wheat, Bread Wheat, Barley, and Oats) in Setif -Algeria-. The data source used to evaluate the growth trends and instability in yield is the mean grain yield of ten years (2014-2024). The graphical analysis demonstrates that the growth trends in Bread wheat its positive; but the DCI -Cuddy Della Valle Index- classified it as a high-instability crop. In addition, the combined analysis of both instability indices (Coefficient of Variation (CV) and Coppock Instability Index (CII))

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., T. Ramadevi, and NRV Ramana Reddy. "Growth, Instability and Crop Diversification of Cereals (A Study in Guntur District of Andhra Pradesh)." IOSR Journal of Agriculture and Veterinary Science 18, no. 6 (2025): 24–30. https://doi.org/10.9790/2380-1806012430.

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Cereals are edible grains that belong to the grass family (Poaceae) and are widely cultivated for their carbohydrate-rich seeds, which serve as staple foods for a large portion of the global population. The present study aims to know the growth, instability and crop diversification of Cereals as they are most significant food crops which are grown in large extent and yielding more income to the farmers in Guntur district of Andhra Pradesh with the secondary data for a period of 20 years. This study calculated Linear Growth Rates (LGR), Coefficient of Variation (CV), and Cuddy-Della Valle Index

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Pavani, Mangalapuri, Mandepudi Mary Sharon, and K. Suseela. "Growth, Instability and Decomposition Analysis of Chilli Cultivation in India." Asian Journal of Agricultural Extension, Economics & Sociology 43, no. 3 (2025): 136–43. https://doi.org/10.9734/ajaees/2025/v43i32708.

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This study analyzed the growth, instability and decomposition of chili cultivation in India over a period of 30-year using secondary data. The study was divided into three sub-periods: 1993–2002, 2003–2012 and 2013–2022, examining variations in area, production, and yield. Growth trends were measured using the Compound Annual Growth Rate (CAGR), and variability was assessed through the Cuddy-Della Valle Instability Index (CDVI). Despite a decline in cultivated area, the results showed that chili production and yield increased, especially during the period 2013–2022. The decomposition analysis

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Suthar, Bhoomi, R. S. Pundir, Hiral Gundaniya, and Kalpana Mishra. "Growth and instability analysis of area, production and yield of groundnut in selected states of India." Environment Conservation Journal 25, no. 1 (2024): 192–98. http://dx.doi.org/10.36953/ecj.24692665.

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India is the largest producer of oilseeds in the world as oilseed sector occupies an important position in the agricultural economy of the country. The study was based on the secondary data from 2002-03 to 2019-20. Major five groundnut producing states were selected based on highest production last triennium average production. The growth rate and instability were computed by using Compound Annual Growth Rate and Cuddy-Della Valle Index. The growth pattern of groundnut witnessed a downward trend with respect to area except Rajasthan state (7.667%). Growth pattern of groundnut indicated a downw

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Muthulakshmi, K., R. A. Anshika, V. ArjunKumar, A. P. Mohana, and K. S. Meenatchi. "The Millet Scenario in India during the Last Three Decades." Journal of Experimental Agriculture International 46, no. 10 (2024): 936–40. http://dx.doi.org/10.9734/jeai/2024/v46i103020.

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The nutrient rich millet crops are cultivated in marginal and poor soil as rainfed crop in India.Millets are rich in proteins, and minerals like Zinc, Iron and Phytochemicals, because of it rich nutrient status it’s called as Nutri-cereals. The market demand on millets in increasing day by day. So, this study focussed on the growth performance and instability in area, production and productivity. This study considered the period from 1990 to 2021. The secondary data like area, production and productivity were collected from various publications like APEDA, Agriculture StatisticsHandbook and In

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Bhagabat, Malik, and Sankar Mohanty Siba. "Fluctuations in Agricultural Production: A Comparative Study across Selected Countries." Journal of Studies in Dynamics and Change -JSDC 10, no. 1 (2023): 9–26. https://doi.org/10.5281/zenodo.7798004.

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<em>Fluctuation in agriculture is a matter of concern in the recent year. The present study analyses the cross-country fluctuations in agricultural production and the factors affecting the fluctuation in agricultural production. The study aims at studying the fluctuations of crop production, fertiliser consumption, arable land, land under cereal production, and agricultural machinery at the global level. The present study used the Cuddy Della Valle Index and a multiple regression model to analyse the fluctuations in agricultural production across countries. The entire study is divided into fou

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Dalal, Khushboo, Suman Ghalawat, Amita Girdhar, et al. "Trends, Growth, Production Instability and Export Dynamics Analysis of Basmati Rice in India." Indian Journal of Extension Education 60, no. 2 (2024): 33–37. http://dx.doi.org/10.48165/ijee.2024.60206.

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The research examined the trends, growth rates, and instability in Basmati rice production and export in India from 2001 to 2021. Secondary time series data on these parameters were collected from diverse sources including the official websites of the Department of Agriculture and Farmer’s Welfare, Directorate General of Commercial Intelligence, the Agricultural and Processed Food Product Export Development Authority (APEDA) and Statistics (DGCI&S) and Ministry of Commerce and Industry. Various analytical tools such as Compound Annual Growth Rate (CAGR) for growth rate analysis, Coefficien

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Patel, V. P., M. S. Shitap, and D. V. Patel. "INSTAILITY ANALAYSIS OF GROUNDNUT CROP IN GUJARAT: BEFORE AND AFTER Bt-COTTON." Gujarat Journal of Extension Education 37, no. 1 (2024): 199–201. http://dx.doi.org/10.56572/gjoee.2024.37.1.0034.

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The time series data on area, production and productivity of groundnut crop for 31 years were collected for major groundnut growing districts and Gujarat state for the period 1985-86 to 2015-16 from Directorate of Agriculture, Gandhinagar, Gujarat State. The entire study period was divided into two sub-periods on the basis of introduction of Bt- cotton as pre Bt-cottoni.e.period I (1985-1986 to 2001-2002) and post Bt- cottoni.e.period II (2002-2003 to 2015-2016).Instability in the area, production and productivity of groundnut was analyzed using the Cuddy Della Valle Index (CDVI).The results r

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15

Yeligar, Sharath, Shiv Kumar, P. Venkatesh, et al. "Prevailing Status of Agricultural Trade between India and European Union." INDIAN JOURNAL OF EXTENSION EDUCATION 59, no. 1 (2023): 13–18. http://dx.doi.org/10.48165/ijee.2023.59103.

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This study analysed the current scenario of India-EU trade, composition of trade, growth and instability of agricultural commodities during the period 1997-98 to 2021-22. India’s agricultural export to the EU was US $ 4.7 billion and imported US $ 1.3 billion from the EU in 2021-22. Netherlands, Italy and Germany were three most important EU members for Indian agricultural trade. India mainly exported fishes and marine products, coffee, tea, meat, spices and cotton to the EU. Vegetable oil, raw hides, skin and leather and animal fodder were imported by India from the EU. Compound Annual Growth

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Akther, Shakeel, Waseem Ahmad, Nargis Akhter Wani, and Shoaib Ansari. "Growth and Instability of Foodgrain Production in Uttar Pradesh: An Economic Analysis." Current Agriculture Research Journal 13, no. 1 (2025): 338–46. https://doi.org/10.12944/carj.13.1.34.

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This paper examines the growth and instability of foodgrain production in Uttar Pradesh. The analysis is based on secondary data spanning the period from 1990–91 to 2020–21, sourced from various official repositories, including the Reserve Bank of India (RBI), statistical handbooks, Indiastat, and the Ministry of Agriculture and Farmers' Welfare. The study employs the Compound Growth Rate (CGR) and Cuddy-Della Valle Index (CDVI) as methodological tools. Findings indicate that the growth rate during the second sub-period (2000-01 to 2009-10) was lower in comparison to the first 1990-91 to (1999

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N, UDHAYAN, and NAIK A. D. "Trends in export performance of wheat from India." Journal of Farm Sciences 36, no. 03 (2024): 287–89. http://dx.doi.org/10.61475/jfs.2023.v36i3.12.

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Wheat is globally the leading source of carbohydrate in human food, with the content of about 71 per cent, apartfrom this, it also contains 13 per cent proteins which is very high as considered to cereals and hence is also a major sourceof proteins around the world. Globally, India is the second-largest producer of rice, wheat and other cereals. The hugedemand for cereals in the global market is creating an excellent environment for the export of Indian cereal products.Thepresent study aimed to analyze the growth and instability index of wheat export from India. The study depends onsecondary d

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Dutta, Kuntal, Dipankar Pradhan, and Debasish Mondal. "Growth and Fluctuations of Yields of Rice, Wheat, Pulses and Oil Seeds in India, West Bengal and Odisha: 1970-71 to 2019-20." International Journal of Innovative Research in Engineering and Management 12, no. 1 (2025): 86–93. https://doi.org/10.55524/ijirem.2025.12.1.14.

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The agriculture sector is fundamental to achieving stable growth in a developing country like India, where consistent yields of major crops with minimal fluctuations contribute significantly to economic stability and food security. This study analyses the growth and fluctuations in the yields of four key crops—rice, wheat, pulses, and oilseeds—across India and the states of West Bengal and Odisha from 1970-71 to 2019-20. We estimate growth rates using the Exponential Annual Growth Rate (EAGR) and Compound Annual Growth Rate (CAGR) and assess yield fluctuations through multiple measures, includ

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Akula, Mounika, Nirmala Bandumula, and Santosha Rathod. "Rice production in Telangana: growth, instability and decomposition analysis." JUNE 59, no. 2 (2022): 232–40. http://dx.doi.org/10.35709/ory.2022.59.2.13.

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One of the objectives of the study is to assess the growth of rice sector in Telangana and growth rate is the measurable indicator for assessing the growth. The present study was conducted to assess the growth rates and instability in the area, production, and yield of rice in Telangana. Also, the relative contribution of area and yield to change in output was estimated by decomposition analysis. The study is based on secondary data for a period of 30 years i.e., 1990-91 to 2019-20. The secondary data were obtained from various publications of the Directorate of Economics and Statistics, Gover

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Vennila, M., and C. Murthy. "Trend analysis of area, production and productivity in pigeonpea." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 17, no. 2 (2021): 476–85. http://dx.doi.org/10.15740/has/ijas/17.2/476-485.

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The present study has been analysed the trend in area, production and productivity of pigeon pea and the instability by Cuddy Della Valle index. The study has been carried out based on secondary data and the data was collected for the periods from 2007-08 to 2018-19. Compound annual growth rate, co-efficient of variation and instability index was computed. The growth rate of area and production of pigeonpea in India showed and significant positive at 1 per cent and 5 per cent level, respectively and productivity showed insignificant positive growth rate. The growth rate of area and production

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Tripathi, Shyam Mani, Abhishek Kalia, Bhanu Prakash Mishra, Snehal Mishra, Dheeraj Mishra, and Gaurav Shukla. "Trends in Area Production and Productivity of Sesame in Bundelkhand Region of Uttar Pradesh." Indian Journal of Extension Education 59, no. 4 (2023): 40–43. http://dx.doi.org/10.48165/ijee.2023.59408.

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Sesame seeds are often referred to as seeds of immortality. Due to the root system, the crop does well under drought stress, making the Bundelkhand region more suitable for growing sesame than other districts in Uttar Pradesh. The coefficient of Variation and the Cuddy-Della-Valle Index were computed to determine the degree of instability. The relative importance of acreage and yield to the expansion of sesame production was determined by calculating the area effect, yield effect, and interaction effect. Results showed that in Jalaun, both the sesame area and production increased at a compound

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S R, DEVEGOWDA, ANKIT YADAV, NAGAVENI M, and SAKET KUSHWAHA. "Sowing seeds of prosperity: Uncovering the calculated growth, instability and decomposition of cotton in India." Journal of Farm Sciences 36, no. 03 (2024): 283–86. http://dx.doi.org/10.61475/jfs.2023.v36i3.11.

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The present study examines the growth, instability and decomposition of cotton in India. The compound growthrate analysis revealed that the cotton cultivation area in India experienced a compound growth rate of 0.68 per cent, cottonproduction showed a compound growth rate of 3.31 per cent and cotton yield exhibited a compound growth rate of 2.6per cent from 1951 to 2020. The instability analysis using the Cuddy-Della Valle index indicates that cotton production hada coefficient of variation of 42.45 per cent, while cotton yield had a coefficient of variation of 25.83 per cent. Decompositionana

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Bagaria, Nidhi, and Surendra Singh Jatav. "Growth Dynamics and Sustainability of Major Crops in Haryana, India." Indian Journal of Extension Education 61, no. 2 (2025): 80–84. https://doi.org/10.48165/ijee.2025.61215.

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The study examined the nexus between crop growth, instability, and groundwater depletion in Haryana, India. Data was collected during 2022 to first examine the trends of cropped area, production, and productivity by calculating compound annual growth (CAGR). The drivers of crop growth and instability in area, production, and productivity using decomposition analysis and the Cuddy-Della Valle Instability index, were examined respectively. Finally, the Pearson and Spearman correlation methods to investigate the relationship between groundwater depletion and crop yield were employed. Consistent p

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Rana, Shiv Kumar, Manish Kumar, Supriya ., Pradeep Mishra, and Ashish Tiwari. "Comparative Analysis of Instability and Growth of Pearl Millet and Maize in India." Environment and Ecology 43, no. 2 (2025): 462–67. https://doi.org/10.60151/envec/xmln8790.

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The present paper explores the instability and growth in area, production, and yield of pearl millet and maize in India. For this, the Cuddy-Della Valle (CDV) instability index and compound annual growth rate (CAGR) are evaluated using secondary time series data on area, production, and yield of pearl millet and maize pertaining to the period of thirty years viz., 1994-2023. The comparative analysis has been made across three periods viz., Period-I (1994-2008), Period-II (2009-2023) and the overall period (1994-2023). The results of the investigation reveal that, during the overall period, pea

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Ajmal S, S. Rohith, Unniravisankar P, and Osman Nabay. "Price Dynamics of Tomato, Onion and Potato (TOP) in India." Asian Journal of Agricultural Extension, Economics & Sociology 42, no. 3 (2024): 134–43. http://dx.doi.org/10.9734/ajaees/2024/v42i32387.

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The development of society depends on several core elements, including food, livelihood, nutritional security, and healthcare. To gain insight into the dynamics and volatility of prices of top crops, a study was conducted analysing wholesale monthly price data for selected states and all of India from January 2005 to December 2021. Various methodologies such as the Compound Annual Growth Rate (CAGR), seasonality index, Cuddy Della Valle Index, rescaled range analysis, and ARCH-GARCH model were utilized to achieve the research objectives. According to the study, West Bengal had major crop price

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Manohar, B. H.1* Vijayakumar J.S.2 and Akshata Annasab Magadum3. "DYNAMICS OF AREA, PRODUCTION AND PRODUCTIVITY OF MILLETS IN INDIA." MULTILOGIC IN SCIENCE XXXXVIII, OCT 2023 (2023): 1007–9. https://doi.org/10.5281/zenodo.8401908.

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India is the largest producer of millets in the world. Bajra and jowar together contributed around 19 per cent of world’s production. Rajasthan, Karnataka, Maharashtra, Uttar Pradesh, Haryana and Gujarat together accounted for more than 83 per cent share in total millet production in India. Rajasthan alone contributes around 28.61 per cent of millets production in India. Therefore the present study aimed to analyze the growth and dynamics of cereals and millets production in India. The study was based on secondary data which was collected from different public sources especially Ministry

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Kolar, Prasanna, P. K. Awasthi, and Ankita Sahu. "An economic analysis of cost, return and profitability of groundnut across leading states of India." INTERNATIONAL RESEARCH JOURNAL OF AGRICULTURAL ECONOMICS AND STATISTICS 11, no. 2 (2020): 278–84. http://dx.doi.org/10.15740/has/irjaes/11.2/278-284.

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The current study was undertaken with the objectives to estimate the dynamics of cost, returns, profitability and break-even production of groundnut across the leading states of India. For that secondary data were collected from Directorate of Economics and Statistics for the period 1996-97 to 2015-16. For statistical analysis tools like relative change, compound growth rate and cuddy della valle index were used. The study found that Cost A1, cost A2, cost B1 and cost C1 of groundnut in Gujarat and cost B2, cost C2 and cost C2 revised in Andhra Pradesh were found to be increased at higher annu

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Orefi, Abu, and Adakole Omojo. "Growth and Instability in Selected Cereal Crops in Benue State, Nigeria and Its Implications for Food Security." Asian Research Journal of Agriculture 5, no. 2 (2017): 1–8. https://doi.org/10.9734/ARJA/2017/33100.

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This study was carried out to determine growth rate and instability in area, output and yield of selected cereals and its implications for food security in Benue State, Nigeria from 1986 to 2012. In addition, sources of growth in output were also examined. To achieve this, exponential trend equation, Cuddy-Della Valle index (CDVI) and decomposition analysis were employed. The estimated compound growth rates for area of maize, millet, rice and sorghum were 4.3%, 9.8%, 1.8% and -2.4% respectively. Compound growth rates of output were 4.7%, 13.1%, 12.6% and 0.9% for maize, millet, rice and sorghu

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Akpan, Sunday, Edet Udoh, and Glory Edet. "Analysis of Trend, Growth, and Instability Index in Output, Harvested Area, and Yield of Oil Palm Fruit in Nigeria." Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi 28, no. 1 (2025): 219–31. https://doi.org/10.18016/ksutarimdoga.vi.1563097.

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The research examined the trend, growth rate, and instability index related to the output, harvested area, and yield of oil palm fruit in Nigeria. Utilizing secondary data sourced from the Food and Agricultural Organization (FAO) covering the period from 1961 to 2022, the study revealed inconsistent patterns in the trend of output, harvested area, and yield of oil palm fruit across the specified timeframes. The compound growth rates identified were 1.11% for output, 1.03% for harvested area, and 0.08% for yield. The Cuddy-Della Valle instability index (CDI) and the Coppock Instability Index (C

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Abid, Saleem, M. Asif Masood, M. Zubair Anwar, Saleem Zahid, and Irum Raza. "Trends and Variability of Wheat Crop in Pakistan." Asian Journal of Agriculture and Rural Development 8, no. 2 (2019): 153–59. http://dx.doi.org/10.18488/journal.1005/2018.8.2/1005.2.153.159.

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The main focus of the study was to analyze trends and variability of wheat crop in Pakistan. Semi-log trend model was used to find trends and growth rate in area, yield and production of wheat crop whereas the variability was measured by Cuddy-Della Valle index of variability. The findings of the study illustrate that wheat area in Punjab, Sindh and Baluchistan was increased over the time whereas cultivated area of wheat in Khyber Pakhtunkhwa province was marginally decreased during 1981-85 to 2011-15. The results show that there was substantial increase in wheat yield and production in all fo

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Prioty, JK, KS Rahman, and MAM Miah. "Assessment Of Trend And Instability Of Area And Production Of Mung Bean In Bangladesh." SAARC Journal of Agriculture 22, no. 1 (2024): 181–89. http://dx.doi.org/10.3329/sja.v22i1.70168.

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Instability is an inherent aspect of agriculture due to its reliance on weather conditions, resulting in substantial fluctuations in crop area, production and yield. Mung bean (Vigna radiata) is one of Bangladesh’s most important pulses. It is highly valued for its nutritional composition and also helps improve soil health. This study focused on analyzing the changes in the cultivation area, production and yield of mung bean in Bangladesh through growth rate and instability analysis based on secondary data over a 40-year period (1981-2020). The entire timeframe was divided into four sub-period

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Rekha Rani, Uma Sah, Hemant Kumar, Rajesh Bishnoi, and Ashish Ranjan Udgata. "Multilevel growth assessment of mungbean production in Madhya Pradesh." Journal of Food Legumes 37, no. 2 (2024): 190–95. http://dx.doi.org/10.59797/jfl.v37.i2.194.

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The present study aimed to examine the growth performance of mungbean in Madhya Pradesh, which is the second-highest pulse-producing state in India. With the development of short-duration mungbean varieties, the crop can be cultivated in spring/summer along with Kharif and Rabi seasons. The districtwise time series data on the area, production, and productivity of mungbean in Madhya Pradesh was collected. The growth performance and instability were analyzed using the Compound Annual Growth Rate and Cuddy Della Valle Index. Further, the decomposition analysis was performed to examine the source

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Balai, Harkesh Kumar, Ankita Sahu, and Kailash Chand Bairwa. "Sources of output Growth and Variability of Natural Rubber in India." Asian Journal of Agricultural Extension, Economics & Sociology 41, no. 6 (2023): 147–52. http://dx.doi.org/10.9734/ajaees/2023/v41i61932.

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Natural rubber is one of the most significant polymers for the human society. One which supplies raw materials for the many sectors i.e., industrial, medical, agriculture, automobiles, aircraft, railways, textile industries, sports, and engineering sectors, and even for the construction of buildings and roads, etc. Due to its multifarious uses, the consumption of natural rubber in the world as well as in India has been increasing steadily. Hence based on the importance of the crop, the present study examined the sources of output growth and variability of natural rubber in India using secondar

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Islam, Muhammad, Farrukh Shehzad, Samrat Ray, and Mirza Waseem Abbas. "Forecasting the population growth and wheat crop production in Pakistan with non-linear growth and ARIMA models." Population and Economics 7, no. 3 (2023): 172–87. http://dx.doi.org/10.3897/popecon.7.e101500.

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Food security as a major social concern and a global threat, requires better policy decisions based on empirical studies. This work presents a comparative statistical analysis of different methods to forecast wheat area, productivity, production, and population growth rate in Pakistan. Time series data from 1950 to 2020 were analyzed using various methods such as ARIMA, the compound growth exponential regression model (CGREM), Cuddy Della Valle instability index (CDVI), and decomposition analysis. The results show that CGREM performs better than other models. Periodic compound growth rates ind

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Choudhri, Harendra Pratap Singh, Deepak Kumar Verma, Ram Suresh Sharma, and Sanjay Kumar. "Assessment of Trade Performance and Growth Potential of Lemongrass Oil Export in India." International Journal of Economic Plants 12, Jan, 1 (2025): 01–07. https://doi.org/10.23910/2/2025.5556.

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The present study aimed to analyze the growth and potential of lemongrass oil exports over twenty years from 2003–04 to 2022–23 across India. The growth and potential of lemongrass oil were estimated based on secondary data of EXIM in quantity and value obtained from the Department of Commerce, Ministry of Commerce and Industry, Government of India for twenty years using statistical tools like the growth model and Cuddy-Della Valle index. Among the top ten countries or destinations of India’s lemongrass oil export were the maximum shares (quantity and value) of importing countries i.e. USA fol

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Islam, Muhammad, Farrukh Shehzad, Samrat Ray, and Mirza Waseem Abbas. "Forecasting the population growth and wheat crop production in Pakistan with non-linear growth and ARIMA models." Population and Economics 7, no. (3) (2023): 172–87. https://doi.org/10.3897/popecon.7.e101500.

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Food security as a major social concern and a global threat, requires better policy decisions based on empirical studies. This work presents a comparative statistical analysis of different methods to forecast wheat area, productivity, production, and population growth rate in Pakistan. Time series data from 1950 to 2020 were analyzed using various methods such as ARIMA, the compound growth exponential regression model (CGREM), Cuddy Della Valle instability index (CDVI), and decomposition analysis. The results show that CGREM performs better than other models. Periodic compound growth rates ind

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NAGAVENI M, G N KULKARNI, and S S GULEDAGUDDA. "Dynamics of oilseeds production and future potentials in Karnataka." Journal of Oilseeds Research 41, no. 1 (2024): 61–70. https://doi.org/10.56739/zayj7z80.

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This study aims to analyse the trends in the changing patterns of crops and the status of oilseed cultivation in Karnataka over the past two decades. Secondary data from the Department of Economics and Statistics (DES) was collected for the period 2001-02 to 2020-21. The data was further divided into two study periods, i.e., Period I (2001-02 to 2010-11) and Period II(2011-12 to 2020-21). The data was analysed using Compound Annual Growth Rates (CAGR), Cuddy Della Valle Index (CDVI) and Markov Chain analysis. The results on growth rates for oilseeds indicated fluctuations with varying trends f

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Hashime, Mohammad Ismail, and Virendra Singh. "Analysis of Export Potential and Trade Direction of Afghanistan Figs in Global Market." Journal of Natural Science Review 2, no. 4 (2024): 95–109. https://doi.org/10.62810/jnsr.v2i4.176.

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The expansion of Afghanistan's share in the global market is critical for the country's development, particularly given its chronic trade deficit. Although Afghanistan is renowned for producing and exporting high-quality fruits, especially figs, it has not fully utilized its export potential. Based on secondary data from ITC and FAOSTAT, this study analyzed the export performance of Afghan figs from 2000 to 2019. An exponential growth function, the Cuddy-Della-Valle instability Index, Revealed Comparative Advantage indices and Markov chain analysis was employed. The results showed that fig exp

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S, Santhosh Kumar, Kumareswaran T, Kamesh T M, and Manimaran V. "Analyzing Price Dynamics and Instability in the Soybean Market of Gautampura: A Decadal Analysis." Asian Journal of Agricultural Extension, Economics & Sociology 42, no. 9 (2024): 201–9. http://dx.doi.org/10.9734/ajaees/2024/v42i92555.

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Soybean stands as a cornerstone of global agriculture, renowned for its versatility, economic value, and pivotal role in both food and feed industries. This study examined the decade-long trends in soybean price dynamics at the Gautampura market in Madhya Pradesh, India, from 2014 to 2023. The research aim to analyze the price trend and instability of soybean in the Gautampura using methods such as Compound Annual Growth Rate (CAGR) and the Cuddy-Della Valle Instability Index (CDVI), the research reveals a gradual 0.672 per cent CAGR in soybean prices over the study period, punctuated by seaso

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SRIVASTAVA, SANJIVANI, SHWETA CHAUDHARY, S. K. SRIVASTAVA, and H. N. SINGH. "Spatial assessment of growth and instability of livestock products in India." Indian Journal of Animal Sciences 94, no. 1 (2024): 77–82. http://dx.doi.org/10.56093/ijans.v94.i1.132830.

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Past studies regarding the growth and instability in production of livestock products have been conducted either for India or the major producing states. Therefore, the present study was conducted to estimate the growth and instability in production of milk, meat and egg, across all the states of India. The study is based on secondary data for a period ranging from 2000-01 to 2019-20. Percentage change, exponential growth function and Cuddy-Della Valle Index were utilized for calculating the relative growth rates, annual growth rates and level of instability. Results revealed that at the count

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Gurindapali, Swetha, and N. V. Shende. "Export performance of major cole crops in India." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 18, no. 1 (2022): 138–44. http://dx.doi.org/10.15740/has/ijas/18.1/138-144.

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Horticulture has emerged as one of the potential agricultural enterprise in accelerating the growth of Indian economy. Cole crops are the most important group of vegetable crops which is widely grown and popular across the world. India holds second position in production of cole crops. The vast production base offers tremendous opportunities for trade in India.The study explores the export performance of major cole crops in India during the period 1990-91 to 2019-20. The present study was computed by CGR, CV, Cuddy Della Valle index, trend analysis and NPC. The major cole crops growth rate of

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Muhammad Islam, Farrukh Shehzad, Abdul Qayyum, Mirza Waseem Abbas, and Rabia Siddiqui. "Growth Analysis of Production of Food Crops and Population Growth for Food Security in Pakistan." Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences 60, no. 1 (2023): 83–90. http://dx.doi.org/10.53560/ppasb(60-1)762.

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Food availability is one of the important pillars of food security. It is essential to ensure food availability in the world to avoid starvation. The key concern of the present study is to integrate the fluctuations in the growth rate of the population and important food crop production using time series data from 1950-2021. Semi-log compound growth rate models are applied for the projection, Cuddy-Della and Valle instability index are used for the stability analysis, and decomposition analysis models are applied to determine the contribution of factors toward production. Semi log compound gro

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Athira S. and S. S. Guledagudda. "Growth and Instability Analysis of Coconut in Kerala and India." Asian Journal of Agricultural Extension, Economics & Sociology 42, no. 5 (2024): 61–67. http://dx.doi.org/10.9734/ajaees/2024/v42i52414.

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The present study was carried out to analyze the growth trends and to observe magnitude of variations in area, production and productivity of coconut in India, Kerala and two major coconut growing districts (Kozhikode and Malappuram) of Kerala. This study is based on secondary data on area, production and productivity of coconut in India, Kerala and two districts of Kerala state collected from the website of Coconut Development Board (CDB) for a period of 20 years, i.e., from 2000-01 to 2019-20. The study used averages, coefficient of variation, instability index and compound annual growth rat

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Sudhakarrao, More Sachin, Narendra Singh, and B. K. Bhatt. "Performance of Pulses in Gujarat: A District level Assessment." Current Agriculture Research Journal 6, no. 1 (2018): 45–53. http://dx.doi.org/10.12944/carj.6.1.06.

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A research was conducted to assess the performance of pulses in one of the most important agriculture states of India. Performance of pulse crops was judged on two important parameters i.e. growth and instability. Compound growth rate was estimated by fitting non linear model to the area, production and productivity data for the period from 1970-71 to 2011-12. The fitted model was analyzed using Marquardt algorithm. Instability was assessed by employing Cuddy-Della Valle instability index. The results show that, the production of pulses increased in the state during the entire study period. Th

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S More, Sachin, K. V. Deshmukh, and R. V. Chavan. "Has Production of Cotton in Maharashtra Shown Stable Growth Over the Years ?" Current Agriculture Research Journal 8, no. 3 (2020): 224–31. http://dx.doi.org/10.12944/carj.8.3.08.

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The growth and instability in area, production and yield of cotton in Maharashtra was assessed before and after introduction of Bt cotton varieties. The study aims to know the growth behavior of cotton production over the years. The contribution of area and productivity towards cotton production was measured by decomposing the cotton production series. The method proposed by Minhas and Vidhyanathan and reframed by Sharma was employed. The compound growth rate was estimated on the basis of fit using non-linear model i.e. exponential. The fitted equation was estimated using marquardt algorithms.

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Kumar, Manish, Subhi Singh, Gulshan Singh, and Arpit Mishra. "Temporal Instability and Growth Trends of Lentil (Lens culinaris L.) in India: A Period-Wise Analysis from 2000 to 2021." Journal of Global Agriculture and Ecology 17, no. 2 (2025): 9–14. https://doi.org/10.56557/jogae/2025/v17i29114.

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Lentil is an essential source of protein, fiber, and other vital nutrients that lower the risk of heart disease, and has enormous health benefits. At global level, India holds second position in lentil production. Considering the given fact, the main focus of this paper is to investigate the instability and growth rates in area, production, and yield of lentil in India. The level of instability in lentil is measured using Cuddy-Della Valle (CDV) instability index, and the growth rates in area, production, and yield of lentil for the investigation period 2000-2021 were measured using compound g

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Kumari, Arya, Yogeshkumar A. Lad, and Sristi Sharma. "Evaluating Growth Patterns in Indian Vegetable Farming: A Trend Analysis of Area, Production, and Productivity." Journal of Scientific Research and Reports 31, no. 7 (2025): 90–102. https://doi.org/10.9734/jsrr/2025/v31i73231.

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This paper attempts to explore the trends and variability of total and major vegetable crops cultivation with regard to area, production and productivity across the country. The secondary data pertaining to area, production and productivity of vegetable crops grown in India were collected from the Indiastat for the period from 2009-10 to 2023-24, divided into Period I (2009-10 to 2013-14), Period II (2014-15 to 2018-19) and Period III (2019-20 to 2023-24). Statistical tools like mean, percentage Absolute Growth Rate (AGR) and Compound Annual Growth Rate (CAGR), were worked out to study total g

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Punith, Kumar, Sonnad JS, Yousafzai Israrullah, and Jamanal Hanumantappa. "Export performance and direction of trade of millets from India." International Journal of Agriculture Extension and Social Development 6, no. 1 (2023): 91–95. https://doi.org/10.5281/zenodo.7722042.

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Millets are a group of highly variable small seeded grains, widely grown around the world as cereal crops for nutritious human food and fodder for animals. Millets are important crops in the semi-arid tropics of Asia and Africa (especially in India and Nigeria), with 97 percent of millet production in developing countries. The current study intended to know the trends in export and direction of trade of selected millets in India from 2003-04 to 2021-22 and from 2012-13 to 2021-22 respectively. Among the millet crops, Sorghum, bajra and ragi were selected for the export dynamics study. Secondar

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Patel, Sanskala, Hari Om Sharma, Gourav Kumar Vani, Aditya Singh, and Harshita Laxkar. "An Economic Analysis of Maize Production across Major Producing States of India." Asian Journal of Agricultural Extension, Economics & Sociology 42, no. 11 (2024): 341–49. http://dx.doi.org/10.9734/ajaees/2024/v42i112619.

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National Food Security Mission has been taken by Government of India to increase coarse cereal Maize production in the country to meet food, feed for livestock and poultry and industrial raw material, domestic as well as global demand. The traditional and modern industrial uses have made it one of the fastest growing cash crops in the world. Considering its global as well as national importance, In this article, we have analysed the relative change, growth rate and CDVI (cuddy-della valle-index) in cost, returns, profitability and break-even production of maize during the study period 2000-01

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Jambhulkar, NN, B. Mondal, S. Paul, AK Pradhan, and GAK Kumar. "Analysis of growth and instability in rice: a district level study in Maharashtra, India." Oryza-An International Journal on Rice 61, no. 3 (2024): 258–64. http://dx.doi.org/10.35709/ory.2024.61.3.10.

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Maharashtra state contributes 3.4% of rice area and 2.65% production of the country. Considering its importance in national rice basket, this study was undertaken to examine the growth rate and instability in area, production and yield of rice in Maharashtra state. The district wise data of rice have been collected from Directorate of Economics and Statistics, Ministry of Agriculture and Farmers Welfare, Government of India and from the online sources of the state departments during the period 1983-84 to 2019-20, which have been divided into five periods for analysis. Compound annual growth ra

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