Description Usage Arguments Details Value Author(s) References See Also Examples
ge_stats()
computes parametric and nonparametric stability statistics
given a data set with environment, genotype, and block factors.
1 
.data 
The dataset containing the columns related to Environments, Genotypes, replication/block and response variable(s). 
env 
The name of the column that contains the levels of the environments. 
gen 
The name of the column that contains the levels of the genotypes. 
rep 
The name of the column that contains the levels of the replications/blocks. 
resp 
The response variable(s). To analyze multiple variables in a
single procedure use, for example, 
verbose 
Logical argument. If 
prob 
The probability error assumed. 
The function computes the statistics and ranks for the following stability indexes.
"Y"
(Response variable),
"CV"
(coefficient of variation)
"ACV"
(adjusted coefficient of variation calling ge_acv()
internally)
POLAR
(Power Law Residuals, calling ge_polar()
internally)
"Var"
(Genotype's variance)
"Shukla"
(Shukla's variance, calling Shukla()
internally)
"Wi_g", "Wi_f", "Wi_u"
(Annichiarrico's genotypic
confidence index for all, favorable and unfavorable environments,
respectively, calling Annicchiarico()
internally )
"Ecoval"
(Wricke's ecovalence, ecovalence()
internally)
"Sij"
(Deviations from the jointregression analysis) and "R2"
(Rsquared from the jointregression analysis, calling ge_reg()
internally)
"ASTAB"
(AMMI Based Stability Parameter), "ASI"
(AMMI Stability
Index), "ASV"
(AMMIstability value), "AVAMGE"
(Sum Across Environments
of Absolute Value of GEI Modelled by AMMI ), "Da"
(Annicchiarico's D
Parameter values), "Dz"
(Zhang's D Parameter), "EV"
(Sums of the
Averages of the Squared Eigenvector Values), "FA"
(Stability Measure
Based on Fitted AMMI Model), "MASV"
(Modified AMMI Stability Value),
"SIPC"
(Sums of the Absolute Value of the IPC Scores), "Za"
(Absolute
Value of the Relative Contribution of IPCs to the Interaction), "WAAS"
(Weighted average of absolute scores), calling ammi_indexes()
internally
"HMGV"
(Harmonic mean of the genotypic value), "RPGV"
(Relative
performance of the genotypic values), "HMRPGV"
(Harmonic mean of the
relative performance of the genotypic values), by calling blup_indexes()
internally
"Pi_a", "Pi_f", "Pi_u"
(Superiority indexes for all, favorable and
unfavorable environments, respectively, calling superiority()
internally)
"Gai"
(Geometric adaptability index, calling gai()
internally)
"S1"
(mean of the absolute rank differences of a genotype over the n
environments), "S2"
(variance among the ranks over the k environments),
"S3"
(sum of the absolute deviations), "S6"
(relative sum of squares of
rank for each genotype), by calling Huehn()
internally
"N1"
, "N2"
, "N3"
, "N4"
(Thennarasu"s statistics, calling
Thennarasu()
internally ).
An object of class ge_stats
which is a list with one data
frame for each variable containing the computed indexes.
Tiago Olivoto tiagoolivoto@gmail.com
Annicchiarico, P. 1992. Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. Journal of Genetic \& Breeding, 46:269278
Ajay BC, Aravind J, Abdul Fiyaz R, Bera SK, Kumar N, Gangadhar K, Kona P (2018). “Modified AMMI Stability Index (MASI) for stability analysis.” ICARDGR Newsletter, 18, 4–5.
Ajay BC, Aravind J, Fiyaz RA, Kumar N, Lal C, Gangadhar K, Kona P, Dagla MC, Bera SK (2019). “Rectification of modified AMMI stability value (MASV).” Indian Journal of Genetics and Plant Breeding (The), 79, 726–731. https://www.isgpb.org/article/rectificationofmodifiedammistabilityvaluemasv.
Annicchiarico P (1997). “Joint regression vs AMMI analysis of genotypeenvironment interactions for cereals in Italy.” Euphytica, 94(1), 53–62. doi: 10.1023/A:1002954824178
Doring, T.F., and M. Reckling. 2018. Detecting global trends of cereal yield stability by adjusting the coefficient of variation. Eur. J. Agron. 99: 3036. doi: 10.1016/j.eja.2018.06.007
Doring, T.F., S. Knapp, and J.E. Cohen. 2015. Taylor's power law and the stability of crop yields. F. Crop. Res. 183: 294302. doi: 10.1016/j.fcr.2015.08.005
Eberhart, S.A., and W.A. Russell. 1966. Stability parameters for comparing Varieties. Crop Sci. 6:3640. doi: 10.2135/cropsci1966.0011183X000600010011x
Farshadfar E (2008) Incorporation of AMMI stability value and grain yield in a single nonparametric index (GSI) in bread wheat. Pakistan J Biol Sci 11:1791–1796. doi: 10.3923/pjbs.2008.1791.1796
Fox, P.N., B. Skovmand, B.K. Thompson, H.J. Braun, and R. Cormier. 1990. Yield and adaptation of hexaploid spring triticale. Euphytica 47:5764. doi: 10.1007/BF00040364.
Huehn, V.M. 1979. Beitrage zur erfassung der phanotypischen stabilitat. EDV Med. Biol. 10:112.
Jambhulkar NN, Rath NC, Bose LK, Subudhi HN, Biswajit M, Lipi D, Meher J (2017). “Stability analysis for grain yield in rice in demonstrations conducted during rabi season in India.” Oryza, 54(2), 236–240. doi: 10.5958/22495266.2017.00030.3
Kang, M.S., and H.N. Pham. 1991. Simultaneous Selection for High Yielding and Stable Crop Genotypes. Agron. J. 83:161. doi: 10.2134/agronj1991.00021962008300010037x
Lin, C.S., and M.R. Binns. 1988. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 68:193198. doi: 10.4141/cjps88018
Olivoto, T., A.D.C. L\'ucio, J.A.G. da silva, V.S. Marchioro, V.Q. de Souza, and E. Jost. 2019a. Mean performance and stability in multienvironment trials I: Combining features of AMMI and BLUP techniques. Agron. J. 111:29492960. doi: 10.2134/agronj2019.03.0220
Mohammadi, R., & Amri, A. (2008). Comparison of parametric and nonparametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica, 159(3), 419432. doi: 10.1007/s1068100796006
Shukla, G.K. 1972. Some statistical aspects of partitioning genotypeenvironmental components of variability. Heredity. 29:238245. doi: 10.1038/hdy.1972.87
Raju BMK (2002). “A study on AMMI model and its biplots.” Journal of the Indian Society of Agricultural Statistics, 55(3), 297–322.
Rao AR, Prabhakaran VT (2005). “Use of AMMI in simultaneous selection of genotypes for yield and stability.” Journal of the Indian Society of Agricultural Statistics, 59, 76–82.
Sneller CH, KilgoreNorquest L, Dombek D (1997). “Repeatability of yield stability statistics in soybean.” Crop Science, 37(2), 383–390. doi: 10.2135/cropsci1997.0011183X003700020013x
Thennarasu, K. 1995. On certain nonparametric procedures for studying genotype x environment interactions and yield stability. Ph.D. thesis. P.J. School, IARI, New Delhi, India.
Wricke, G. 1965. Zur berechnung der okovalenz bei sommerweizen und hafer. Z. Pflanzenzuchtg 52:127138.
acv()
, ammi_indexes()
, ecovalence()
, Fox()
, gai()
,
ge_reg()
, hmgv()
, hmrpgv()
, rpgv()
, Huehn()
, polar()
,
Shukla()
, superiority()
, Thennarasu()
, waas()
, waasb()
1 2 3  library(metan)
model < ge_stats(data_ge, ENV, GEN, REP, GY)
get_model_data(model, "stats")

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.