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http://krishi.icar.gov.in/jspui/handle/123456789/47578
Title: | SAS Macro for the Generation, Randomization and Analysis of MERC Designs for Pair-wise Comparison among gca Effects |
Other Titles: | Not Available |
Authors: | Eldho Varghese Cini Varghese Seema Jaggi Rajender Parsad |
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 |
Published/ Complete Date: | 2015-04-01 |
Project Code: | Not Available |
Keywords: | MERC Designs gca Effects Pair-wise Comparison |
Publisher: | ICAR-IASRI, New Delhi |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | In plant breeding programmes, Mating-Environmental (ME) designs are commonly used under one-way blocking setup to get an estimate for general and specific combining abilities (gca and sca) of inbred lines involved in the crosses. When a large number of crosses are to be compared, which lead to a large experimental area, it may be important to account for or eliminate the effects of fertility trends in the land in two directions. In such situations, designs with crosses arranged in a row-column (RC) set up can be more advantageously used. Though information on both gca and sca effects are important to the breeders, most of the statistical papers dealing with these designs assumes sca effects as negligible for reducing the complexity in mathematical derivations. Here, a set of macros have been given for generating three classes of efficient MERC designs for complete diallel cross (CDC) experiments which are variance balanced for estimating the contrasts pertaining to the gca effects free from sca effects when two cross classified sources of variations are present in the experimental material for making all pair-wise comparison among gca effects. These programs were developed using SAS IML in the form of macros so that user would be able to get the design by providing only number lines (t). Besides, SAS codes have been developed for the analysis of the data generated from such designs and the code is given in the section SAS code for the analysis. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Software Code or Macro |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
NAAS Rating: | Not Available |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/47578 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1. MERC for making all pair-wise comparisons (2).pdf | 332.16 kB | Adobe PDF | View/Open |
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