KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/80826
Title: | Scenario of Major Fruit Crops in Flood-Prone Areas in Eastern India: Case Study of Bihar |
Other Titles: | Not Available |
Authors: | Rohan Kumar Raman , Dhiraj Kumar Singh, Sudip Sarkar, Jaspreet Singh, Abhay Kumar, Ujjwal Kumar, Rakesh Kumar, Akram Ahmed, Anirban Mukharjee, Surajit Mondal, Ashutosh Upadhyaya, PS Brahmanand |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR-RCER Patna |
Published/ Complete Date: | 2022-09-09 |
Project Code: | Not Available |
Keywords: | Fruits Flood |
Publisher: | Erwerbs-Obstbau |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Flooding is a recurrent phenomenon in South Asian countries during the monsoon season. In the state of Bihar in eastern India, 55% of the geographical area is vulnerable to flood each year. Flood-tolerant fruit crops like banana (Musa sp.), mango (Mangifera indica), litchi (Litchi chinensis), and guava (Psidium guajava) provide an alternate source of income to farming communities in flood-prone areas where cereal crops would be damaged. Keeping in view the importance of fruit production as a mitigating option of flood risk, this study analyzed the trends in production of principal fruit crops of Bihar, i.e., banana, mango, litchi, and guava fruits. The 38 districts of Bihar, which were categorized into four zones (zone I, zone II, zone IIIA and zone IIIB), have been classified and mapped into high, medium, and low categories based on fruit productivity. For the study, annual time series data on fruit production and productivity in Bihar from 2001–2020 were used. The structural time series model (STSM), Kruskal–Wallis, and principal component analysis (PCA) were used for analysis . A significant increasing trend in banana production has been observed and is predicted through the year 2025. No significant increasing trend was observed for mango, litchi, or guava production. Zone I in Bihar produced significantly more banana, litchi, and mango than the other three zones. Zone IIIB produced significantly more guava. The districts were mapped into high, medium, and low productivity-based categories. Hence, the study results will be useful for researchers and policy makers to identify low productive areas and increase productivity through better management practices to support sustainable income to farmers in flood-prone areas. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Erwerbs-Obstbau |
Journal Type: | Not Available |
NAAS Rating: | 7.26 |
Impact Factor: | 1.26 |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://doi.org/10.1007/s10341-022-00738-y |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/80826 |
Appears in Collections: | NRM-RCER-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.