Tools for analysing green manure and cover crop experiments, for example with Mucuna, sunhemp and dhaincha. Fits single-pool, double-pool and asymptotic litterbag decomposition models and ranks them by the corrected Akaike information criterion, estimates the time to 50 percent mass loss with Monte-Carlo confidence intervals, and quantifies nitrogen, phosphorus, potassium and other nutrient release over time. Further functions compute nutrient inputs, crop uptake, apparent nitrogen recovery and fertilizer nitrogen replacement value, estimate residual effects of green manures on succeeding kharif and rabi crops, link decomposition, nutrient release and crop response in a joint analysis, and generate standardized tables, diagnostic plots and a Word report.
Green manure decomposition, nutrient release and subsequent crop response.
GreenManureR provides tools for experiments with Mucuna, sunhemp, dhaincha and other green manure and cover crops.
| Function | Purpose |
|---|---|
decomp_fit() |
Fit single-pool, double-pool and asymptotic decomposition models |
decomp_t50() |
Time to 50% (or any %) mass loss, with Monte-Carlo intervals |
nutrient_release() |
N, P, K and other nutrient release over time |
greenmanure_n_balance() |
N inputs, crop uptake, apparent balance, ANR, NFRV |
carryover_effect() |
Residual effects on kharif and rabi crops |
gm_joint_analysis() |
Link decomposition, release and crop response |
greenmanure_report() |
Standardized tables, plots and a Word report |
# once on CRAN
install.packages("GreenManureR")
library(GreenManureR)
fit <- decomp_fit(gm_litterbag, group = "treatment")
decomp_t50(fit)
See vignette("greenmanure-workflow") for a full walk-through.