Skip navigation
DSpace logo
  • Home
  • Browse
    • SMD
      & Institutes
    • Browse Items by:
    • Published/ Complete Date
    • Author/ PI/CoPI
    • Title
    • Keyword (Publication)
  • Sign on to:
    • My KRISHI
    • Receive email
      updates
    • Edit Profile
ICAR logo

KRISHI

ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)


  1. KRISHI Publication and Data Inventory Repository
  2. Agricultural Education A1
  3. ICAR-Indian Agricultural Statistics Research Institute B7
  4. AEdu-IASRI-Publication
"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
Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/45010
Title: Tree Network-balanced Designs for Agroforestry Trials
Other Titles: Not Available
Authors: Peter T Birteeb
Cini Varghese
Seema Jaggi
Mohd. Harun
Eldho Varghese
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Indian Agricultural Statistics Research Institute
ICAR::Central Marine Fisheries Research Institute
Published/ Complete Date: 2020-12-01
Project Code: Not Available
Keywords: Adjacency matrix
Canonical efficiency factor
Group divisible association scheme
Partially variance balanced.
Publisher: Not Available
Citation: Peter T Birteeb, Cini Varghese , Seema Jaggi , Mohd. Harun and Eldho Varghese(2020). Tree Network-balanced Designs for Agroforestry Trial, Journal of the Indian Society of Agricultural Statistics, 74(3), 2020, 243–254
Series/Report no.: Not Available;
Abstract/Description: This study was carried out to develop designs for agroforestry experiments involving multiple trees and multiple crop species. A linear network effects model incorporating tree effects from adjacent plots has been considered, and a general method of constructing a class of designs balanced for tree network effects has been developed. The proposed designs are partially variance balanced for estimating direct effects of tree-crop combinations, with the tree-crop combinations following a two-associate class Group Divisible (GD) association scheme. It has been shown that these designs are highly efficient. Also, the layout in separate arrays permits each replication of these designs to be suitably adapted in a different location. Hence, the designs have promising application potential in agroforestry experimentations involving multiple trees and multiple crop species with resource limitations.
Description: Not Available
ISSN: Not Available
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Journal of the Indian Society of Agricultural Statistics
NAAS Rating: 5.51
Volume No.: 74(3)
Page Number: 243–254
Name of the Division/Regional Station: Not Available
Source, DOI or any other URL: Not Available
URI: http://krishi.icar.gov.in/jspui/handle/123456789/45010
Appears in Collections:AEdu-IASRI-Publication

Files in This Item:
File Description SizeFormat 
9-PeterTBirteeb.pdf598.57 kBAdobe PDFView/Open
Show full item record


Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.

  File Downloads  

May 2022: 67321 Apr 2022: 94186 Mar 2022: 96096 Feb 2022: 93736 Jan 2022: 86503 Dec 2021: 98347

Total Download
2679302

(Also includes document to fetched through computer programme by other sites)
( From May 2017 )

ICAR Data Use Licence
Disclaimer
©  2016 All Rights Reserved  • 
Indian Council of Agricultural Research
Krishi Bhavan, Dr. Rajendra Prasad Road, New Delhi-110 001. INDIA

INDEXED BY

KRISHI: Inter Portal Harvester

DOAR
Theme by Logo CINECA Reports

DSpace Software Copyright © 2002-2013  Duraspace - Feedback