1The Graduate School, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi- 110 012, India
2ICAR-Sugarcane Breeding Institute, Coimbatore-641 007, Tamil Nadu, India
3ICAR-Indian Agricultural Research Institute, Hazaribagh-825 405, Jharkhand, India
4ICAR-Indian Agricultural Statistics Research Institute, Pusa, New Delhi-110 012, India
*Corresponding Author: L.N. Vinaykumar, The Graduate School, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi-110 012, India, Email: vinaymandya123@gmail.com
Online published on 24 June, 2025.
This article provides some new construction methods of partially balanced bipartite block (PBBB) designs for comparing test treatments with more than one control.
Partially balanced incomplete block (PBIB) designs based on some association schemes such as group divisible association, and cyclic association are used for developing these methods of construction.
A catalogue of efficient PBBB designs is included for parameter values v1 (number of test treatments) ≤10, v2 (number of control treatments) ≤10 and r2 (replications of test treatments) and (replications of control treatments) ≤15 along with computed variances using SAS code.
Group divisible partially balanced bipartite design, Partially balanced bipartite block design, Partially balanced incomplete block design, SAS software, Semi-regular group divisible design
