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NUE for Livestock

Source: R/n_soil_inputs_nue.R
calculate_nue_livestock.Rd

Calculates Nitrogen Use Efficiency (NUE) for livestock categories (excluding pets).

The livestock NUE is defined as the percentage of nitrogen in livestock products relative to the nitrogen in feed intake: nue = prod_n / feed_n * 100

Additionally, a mass balance is calculated to check the recovery of N in products and excretion relative to feed intake: mass_balance = (prod_n + excretion_n) / feed_n

Usage

calculate_nue_livestock(example = FALSE)

Arguments

example

If TRUE, return a small example output without downloading remote data. Default is FALSE.

Value

A tibble containing:

  • year: Year

  • province_name: Spanish province

  • livestock_cat: Livestock category

  • item: Produced item

  • prod_n: Nitrogen in livestock products (Mg)

  • feed_n: Nitrogen in feed intake (Mg)

  • excretion_n: Nitrogen excreted (Mg)

  • nue: Nitrogen Use Efficiency (%)

  • mass_balance: Mass balance ratio (%)

Examples

calculate_nue_livestock(example = TRUE)
#> # A tibble: 10 × 9
#>     year province_name livestock_cat item       prod_n feed_n excretion_n    nue
#>    <dbl> <chr>         <chr>         <chr>       <dbl>  <dbl>       <dbl>  <dbl>
#>  1  1921 Lugo          Horses        Meat, Ot…   7.28    1078        1158  0.675
#>  2  1994 Huelva        Horses        Offals, …   0.921    397         423  0.232
#>  3  2001 Cuenca        Goats         Mutton &…   4.22     347         355  1.22 
#>  4  1876 Avila         Cattle_milk   Milk - E…  40.4      179         147 22.6  
#>  5  1918 Malaga        Horses        Meat, Ot…   4.3      635         684  0.678
#>  6  1902 Madrid        Cattle_meat   Fats, An…   0        654         599  0    
#>  7  1926 Zaragoza      Sheep         Hides an… 119       8965        8454  1.33 
#>  8  2017 Badajoz       Pigs          Offals, … 581      21434       15567  2.71 
#>  9  1928 Leon          Poultry       Poultry …  10.6      177         127  6    
#> 10  1861 Girona        Horses        Meat, Ot…   5.23     842         832  0.621
#> # ℹ 1 more variable: mass_balance <dbl>