Dear friends,
Would you please help me how to analyze LXT and classify inbredlines into heterotic groups without planting the parental lines of the F1's of test cross progenies only by evaluating the F1's?
Molecular markers can be used to categorise inbred lines in different heterotic groups without making crosses in LxT. In fact, testers (two or three) planned to be used in LxT should belong to different known heterotic groups. Molecular profile data of inbred lines should be align and analyse with molecular profile data of each of the tester. In this way try to identify inbred showing maximum molecular diversity with each of the tester and divide inbred lines into different heterotic groups of the respective tester based on the diversity data. More number and EST based markers probably give more reliable results.
Bulo Debesa
LxT data can be analyzed by using a method in which there is no need to put the parental lines information. You just need to arrange your LxT crosses data as per the format of specific software and then based on results , grouping of lines can be done based on specific combining ability with testers used. Such analysis can be done using Windostat or R software.
Hope it will help you
Mukesh Choudhary Thank you so much for your reaction.But,I need to analyze the data with SAS software 9.0 by using the linear model used for combining ability analysis Yijk = μ+ rk+gi +gj +Sij+eijk where line,tester and the single cross LXT included.With this model if I did not plant the lines how I can analyze and interpret the data and classify inbred lines into heterotic groups?
Narendra Kumar Singh Please would you put some constructive comment and give your suggestion/recommendation?
Thank you!
Bulo Debesa
From your question, what I got is that you are planting the crosses (Line x tester) for evaluation and have data of it but you do not want to plant the parental lines. So in this case, I suggested the alternative method of analysis (Line x tester excluding parent's information) using the available software that I know. Sorry, I don't know about ay such a package in SAS.
Otherwise, if you don't want to even plant crosses, then what Dr. Narendra Kumar Singh told is correct. You will have to go for the use of molecular markers.
But through R, You can try AGD-R
https://data.cimmyt.org/dataset.xhtml?persistentId=hdl:11529/10202
PFA link for R
https://rdrr.io/cran/agricolae/man/lineXtester.html
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