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Growth dynamics analysis of cauliflower in Himachal Pradesh (Record no. 131798)
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| 000 -LEADER | |
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| fixed length control field | 02051nam a2200121 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250624b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lalenpuii |
| 245 ## - TITLE STATEMENT | |
| Title | Growth dynamics analysis of cauliflower in Himachal Pradesh |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. biblio.abstract | India, one of the top producers of cauliflower (Brassica<br/>oleracea var. botrytis) has made a significant contribution to the agricultural, nutritional and commercial<br/>value. The present study examines the growth dynamics of cauliflower production, pricing, productivity<br/>and area in the state of Himachal Pradesh. It focuses<br/>on the Solan district for data on pricing, productivity<br/>and output from 2003 to 2020, and on area, production<br/>and productivity from 1995 to 2020. The study projects<br/>future scenarios and analyses previous trends using<br/>statistical tools, such as seasonal indices, decomposition analysis, Cuddy–Della Valle Index (CDVI), compound annual growth rate (CAGR) and autoregressive<br/>integrated moving average (ARIMA) modelling. Results indicate that the growth rate in production<br/>(8.77%) surpassed the growth in area (6.48%), whereas productivity growth stood at 7%. Despite fluctuations, cauliflower cultivation remains relatively stable,<br/>with area expansion being the primary driver of production growth. The optimal ARIMA models for forecasting area, production and productivity were<br/>identified as ARIMA (0, 2, 1), ARIMA (2, 2, 2) and<br/>ARIMA (2, 2, 1) respectively, suggesting an increasing<br/>trend in area and productivity, whereas production is<br/>projected to decline. Price growth rates ranged from<br/>4.45% to 7.51%, exhibiting low variation, and seasonal<br/>indices revealed higher off-season variability compared<br/>to peak season. The selected ARIMA model for price<br/>forecasting is ARIMA (0, 0, 1) (0, 1, 2) with drift. These<br/>insights provide valuable information for policymakers<br/>and stakeholders in the cauliflower market. |
| 654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS | |
| Subject | <a href="ARIMA">ARIMA</a> |
| -- | <a href="seasonal indices">seasonal indices</a> |
| -- | <a href="forecasting">forecasting</a> |
| -- | <a href="decomposition analysis">decomposition analysis</a> |
| -- | <a href="cauliflower">cauliflower</a> |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 125299 |
| Host Itemnumber | 112523 |
| Title | Current Science |
| International Standard Serial Number | 0011-3891 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Koha issues (times borrowed) | Piece designation (barcode) | Koha date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | SNDT Juhu | SNDT Juhu | 24/06/2025 | JP671.3 | 24/06/2025 | 24/06/2025 | Journal Article |