Talk:Segregation
From ICISWiki
About segregating:
If we in the vegetables have segregating lines from which we want to evaluate the plants seperately we create GID for ALL separate plants. The single evaluations can be stored in the database to the proper GID then. For example: We have an F2 on the field wchich is segregating. This F2 is a SEEDlot in ICIS created with method 207.
Next step is to create the F2-PLANTS as a derivative from the F2-SEEDLOT, let us say we create 20 PLANTS, In ICIS we use method 60 for this.
Next step is that we finally select 5 plants to produce F3-SEED. This F3-SEED will be derived from the F2-PLANTS with method 205.
Hopes this helps, Regards, Casper aan den Boom
Hi,
That is an interesting question. Here at SPARC, we rarely have measurements on individual plants within a plot. Generally, our disease ratings are done on the overall look of the plot, not plant-by-plant.
I have a couple of ideas about how to deal with this type of information:
1. You could just put the scores into one cell as 77777724 (from the example posted) and in either the METHODS or SCALE field, a note could be entered to explain that each integer represents a plant within the plot (we do this when splitting and scoring wheat stems for pith expression).
2. Or, you could create 10 rows (one for each plant in the plot) in your workbook, and also create a “PLANT NO.” factor, where you number each plant, 1-10. Then you would be able to enter the scoring for each plant. This however, does not work well if you only have 1 or 2 traits that measure each plant in the plot.
I am very interested to see how others deal with this type of situation.
Thanks,
Shawn
Good morning!
Here is how we deal with segregating data in Plant Breeding, Genetics and Biotechnology (PBGB) Division in IRRI.
Our data for resistance to insects and diseases are scores 1,3,5,7 and 9, which are numeric. But sometimes we observe segregating scores for resistance to Bacterial blight like 1 and 7. So, what we do is we have the variates BB1(bacterial blight race 1, with numeric data type) and BB1_S (bacterial blight race 1, with character data type). If we got single scores, we enter it in BB1; if we observe 1/7 or 1/9 we enter it in BB1_S as S. Both BB1 and BB1_S are uploaded to DMS. This way we can still compute anything we want for BB1 since it is numeric. The segregating values, you can see in the raw data only and in the paper fieldbook(because you can't summarize).
I hope this helps.
Cheers,
- ) Grace
