Agronomy4future

In my previous post, I demonstrated how to create a data table using Python. If you’re interested, please refer to the post below. ■ How to create a data table in Python? I’ll summarize this data by mean and standard error. full code: https://github.com/agronomy4future/python_code/blob/main/How_to_summarize_data_using_Python.ipynb

One of the problems that can occur when drawing graphs using R is that the x-axis of the graph is sorted alphabetically. There is data as shown above. I used this data to create a graph as shown below. The above graph displays Amonium Sulfate first according to alphabetical order. However, I want to show the treatments in the following order: Calcium Nitrate first, followed by Urea, then Sodium Nitrate, and lastly Ammonium Sulfate. Here are two ways to change…

Read More Read More

GxE interaction is when the phenotypic difference between a pair of genotypes is larger or smaller in one environment than in another environment. It is important to understand that what genotypes have different phenotypic values in two environments is not the same as GxE interaction. Please look at above graph. Both genotypes had a different phenotype in the two different environments (Env1 and Env2), but there was no interaction in this case because the difference between the phenotypic values was…

Read More Read More

geom_hline(data=data.frame(variety=c(“A”, “B”)), aes(yintercept=c(195.4028, 206.0819)), linetype=”dashed”, color=”Dark blue”) +

geom_text(aes(family=”serif”,fontface=6), x=65, y=0.02, label=paste(“Pistolo\n”,pistolo_CT_MEAN, “±”, round(pistolo_CT_SE,digits=2)),size=7, col=”Black”)

label=paste(round(mean(na.rm=T,long_low$KW),digit=1),”mg”)

scale_x_discrete(limits=rev)

#guides(color=”none”) +