My own Twitter-style news feed

Today, I developed my own Twitter-style news feed, which you can see now. I added a DNS record to my website, agronomy4future.com, and the current address is today.agronomy4future.com. Do I know how to code? No. Did I major in programming? No. But I developed my own platform by collaborating with Claude. I simply shared my … Read more

[R package] Log Response Ratio and Effect Size Calculation (feat. lrr)

When conducting a meta-analysis, results from multiple studies must be synthesized despite differences in measurement scales, experimental designs, and reported units. To enable meaningful comparisons across studies, effect sizes are commonly used. One of the most widely applied effect size metrics in ecological and agricultural research is the Log Response Ratio (LRR). The Log Response … Read more

Is no-tillage farming beneficial to farmers?

This year, in the no-tillage field, the farmer has sprayed herbicide three times since planting. These days, the hot trend is carbon farming, and all approaches aim to mitigate GHG emissions, suggesting that no-tillage is beneficial for carbon sequestration. Although the academic trend consistently indicates that carbon farming is important, in reality, farmers have been … Read more

How to summarize data using Python?

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

[Maize Article] GxE interaction in terms of stability

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 … Read more

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

code

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”)

R

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

scale_x_discrete(limits=rev)