RioChillon             package:agricolae             R Documentation

_D_a_t_a _a_n_d _a_n_a_l_y_s_i_s _M_o_t_h_e_r _a_n_d _b_a_b_y _t_r_i_a_l_s

_D_e_s_c_r_i_p_t_i_o_n:

     Mother/Baby Trials allow farmers and researchers to test best-bet
     technologies or new cultivars. Evaluation of advanced Clones of
     potato in the Valley of Rio Chillon - PERU (2004)

_U_s_a_g_e:

     data(RioChillon)

_F_o_r_m_a_t:

     The format is list of 2:
      1. mother: data.frame: 30 obs. of  3 variables:
      -  block (3 levels)
      -  clon (10 levels)
      -  yield (kg.)
      2. babies: data.frame: 90 obs. of  3 variables:
      -  farmer (9 levels)
      -  clon (10 levels)
      -  yield (kg.)

_D_e_t_a_i_l_s:

     1. Replicated researcher-managed "mother trials" with typically 10
     treatments evaluated in small plots.
      2. Unreplicated "baby trials" with 10 treatments evaluated in
     large plots.
      3. The "baby trials" with a subset of the treatments in the
     mother trial.

_S_o_u_r_c_e:

     Experimental field.

_R_e_f_e_r_e_n_c_e_s:

     International Potato Center. CIP - Lima Peru.

_E_x_a_m_p_l_e_s:

     # Analisys the Mother/Baby Trial Design
     library(agricolae)
     data(RioChillon)
     # First analysis the Mother Trial Design.
     model<-aov(yield ~ block + clon, RioChillon$mother)
     anova(model)
     cv.model(model)
     attach(RioChillon$mother)
     comparison<-LSD.test(yield,clon, 18, 4.922, group=TRUE)
     # Second analysis the babies Trial.
     attach(RioChillon$babies)
     comparison<-friedman(farmer,clon, yield, group=TRUE)
     # Third
     # The researcher makes use of data from both mother and baby trials and thereby obtains
     # information on suitability of new technologies or cultivars
     # for different agro-ecologies and acceptability to farmers.
      

