I sugest that you the function lm()

So after you have read in your data into a datframe you define the variables

Sowing.methods, fertiliser.dose and Block as factors using e.g. the function as.factor

Then you can call the lm()function as follows:

model1

Dear 

You can do this using function in R according to the suggestion of Kristian Kristensen.

Also in R you can use package ExpDes for 2 factorial RCBD design.

You can see this attachment given below.

https://cran.r-project.org/web/packages/ExpDes/ExpDes.pdf

Thank you 

you can use aov() function to get the anova table besides the result from linear regression.

https://aravind-j.github.io/augmentedRCBD/articles/Data_Analysis_with_augmentedRCBD.html

You can use augmented RCBD function. Please follow the following link.

use the doebioresearch package

I suggest you use 'doebioresearch package'. Is very good in factorial data analysis. Most especially agricultural experiments.

you can arrange your trts in this way

model model