I have this data. Here example of it structure.

  full_bajra_xts_red=structure(list(Date = structure(c(19144, 19145, 19146, 19147, 
    19148, 19149, 19150, 19151, 19152, 19153), class = "Date"), red = c(2127, 
    1302.9803048672, 1678.5, 2038, 1245.57566887554, 1982, 2088.5798414003, 
    1245.57566887554, 1834.12565893947, 2114)), row.names = c(NA, 
    10L), class = "data.frame")

full_bajra_xts_green=structure(list(Date = structure(c(19144, 19145, 19146, 19147, 
19148, 19149, 19150, 19151, 19152, 19153), class = "Date"), green = c(1529, 
1140.37413250597, 1225.04390857018, 1189.2683774732, 1418.5, 
1542, 1380, 1376.86063429029, 1330.79379894137, 1494)), row.names = c(NA, 
10L), class = "data.frame")

  full_guar_xts_red=structure(list(Date = structure(c(19144, 19145, 19146, 19147, 
    19148, 19149, 19150, 19151, 19152, 19153), class = "Date"), red = c(2096, 
    1225.68256164161, 1641, 1333.91676380334, 1814.5, 2016, 1396, 
    2081, 2079.71725650448, 1193.11475693541)), row.names = c(NA, 
    10L), class = "data.frame")


full_guar_xts_green=structure(list(Date = structure(c(19144, 19145, 19146, 19147, 
19148, 19149, 19150, 19151, 19152, 19153), class = "Date"), green = c(1516, 
1071.73968116149, 1179, 1144.00588528805, 1498.06983978489, 1521, 
1193.5, 1549, 1158.31497623564, 1296.86598194529)), row.names = c(NA, 
10L), class = "data.frame")

full_arahis_xts_red=structure(list(Date = structure(c(19144, 19145, 19146, 19147, 
19148, 19149, 19150, 19151, 19152, 19153), class = "Date"), red = c(2096, 
1225.68256164161, 1641, 1333.91676380334, 1814.5, 2016, 1396, 
2081, 2079.71725650448, 1193.11475693541)), row.names = c(NA, 
10L), class = "data.frame")


full_arahis_xts_green <- data.frame(
  Date = as.Date(c(19144, 19145, 19146, 19147, 19148, 19149, 19150, 19151, 19152, 19153), origin = "1970-01-01"),
  green = c(1516, 1071.73968116149, 1179, 1144.00588528805, 1498.06983978489, 1521, 1193.5, 1549, 1158.31497623564, 1296.86598194529)
)

  full_moong_xts_red=structure(list(Date = structure(c(19144, 19145, 19146, 19147, 
        19148, 19149, 19150, 19151, 19152, 19153), class = "Date"), red = c(2127, 
        1302.9803048672, 1678.5, 2038, 1245.57566887554, 1982, 2088.5798414003, 
        1245.57566887554, 1834.12565893947, 2114)), row.names = c(NA, 
        10L), class = "data.frame")


  full_moong_xts_green= structure(list(Date = structure(c(19144, 19145, 19146, 19147, 
    19148, 19149, 19150, 19151, 19152, 19153), class = "Date"), green = c(1529, 
    1140.37413250597, 1225.04390857018, 1189.2683774732, 1418.5, 
    1542, 1380, 1376.86063429029, 1330.79379894137, 1494)), row.names = c(NA, 
    10L), class = "data.frame")

The data represents the name of the non-crop culture ("guar", "bajra", "moong", "arahis") and contain the metric variables red and green. (For each variable its own separate dataset).
I need to compare each variable between pairs of cultures using the Wilcoxon t-test for paired samples.

guar vs bajra
guar vs moong
guar vs peanut
bajra vs moong
bajra vs arahis

for example, we take red for the guar culture and red for the bajra culture and compare them using the Wilcoxon T-test for paired samples and so on for all the culture according to the variables red and green.

This is how I do it (as a reproducible example I took only 2 variables, in fact there are many more)

> cultures <- c("guar", "bajra", "moong", "arahis")
> variables <- c("red", "green")
> 
> for (culture1 in cultures) {
+   for (culture2 in cultures) {
+     if (culture1 != culture2) {
+       for (var in variables) {
+         test_result <- wilcox.test(get(paste0("full_", culture1, "_xts_", var)), get(paste0("full_", culture2, "_xts_", var)), paired = TRUE)
+         print(paste("Comparison between", culture1, var, "and", culture2, var, ": p-value =", test_result$p.value))
+       }
+     }
+   }
+ }

and i get the error

Error in wilcox.test.default(get(paste0("full_", culture1, "_xts_", var)), :
   'x' must be a number

what am I doing wrong, and how to correctly compare these variables between my pairs of cultures and how get desired output (numbers are p-values)

var guar_bajra  guar_moong  guar_arahis bajra_moong bajra_arahis    moong_arahis
red   0.05       0.05   0.05    0.05    0.05    0.05
green 0.05      0.05    0.05    0.05    0.05    0.05

Thanks for your valuable help.