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/123456789/11044
Title: | Fibre yield estimation in sisal (Agave sisalana Perr. Ex Engelm.) through regression equation based on simple biometric observations |
Other Titles: | Not Available |
Authors: | Sarkar, S., Saha, A.R. and Majumdar, B |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Central Research Institute for Jute and Allied Fibres |
Published/ Complete Date: | 2017-03-31 |
Project Code: | Not Available |
Keywords: | Yield estimation, Leaf number, Leaf length, Leaf green weight, Regression equation, Sisal |
Publisher: | International Journal of Current Research |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Estimation of fibre yield in sisal (Agave sisalana Perr. ex Engelm.) is absolutely necessary for well ahead planning of marketing arrangements between the actual grower or cooperatives and the fibre purchaser or mills who are situated geographically in distant locations in India. There is no yield prediction method for sisal which could estimate fibre yield well ahead of harvesting. Therefore, an attempt had been made during 2010-11 at Sisal Research Station, Bamra, Sambalpur, Odisha to develop linear regression equations of fibre yield (Y) estimation by considering number of harvestable leaf (LN), leaf length (LL), leaf breadth (LB), leaf green weight (LW) as independent variables data collected from field experiment. In total, nine regression equations were developed, of which the equation, Y = -1221.428 + (23.327) x LN+ (10.761) x LL+ 21.355 [where, Y= Fibre yield (g/plant); LN= mean Leaf number per plant (harvestable); LL= mean Leaf length (cm)] predicted the fibre yield most accurately (2.48 t/ha) with the observed actual yield data (2.39 t/ha) and the coefficient of determination (R2) value was near unity (0.981). Therefore, the developed regression equation can predict the fibre yield in sisal with acceptable accuracy for edapho-climatic condition prevailing in central plateau region of India. |
Description: | Not Available |
ISSN: | 0975-833x |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | International Journal of Current Research |
NAAS Rating: | Not Available |
Volume No.: | 9 (3) |
Page Number: | 47853-55 |
Name of the Division/Regional Station: | Crop Production Division |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/Publication/handle/123456789/11044 |
Appears in Collections: | CS-CRIJAF-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fibre yield estimation in sisal_Sarkar et al_2017.pdf | 229.83 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.