Abstract
In plant breeding, correlations between the statistics of stability and adaptability of popcorn cultivars are not yet well understood. Therefore, the objectives of the present experiment was to investigate the correlations between \( \sigma_{\rm di}^{2} \) and \( \beta_{\rm i} \) from Eberhart and Russell, ωi from Wricke, \( {\text{S}}_{\text{i}}^{(1)} \), \( {\text{S}}_{\text{i}}^{(2)} \) and \( {\text{S}}_{\text{i}}^{(3)} \) from Huehn, Pi from Lin and Binns and the rank-sum from Kang, and indicate the most reliable method for selecting popcorn cultivars. These statistics were estimated by data of crop yield from 19 Brazilian genotypes under 21 environments and popping expansion under 16 environments. The ωi, \( {\text{S}}_{\text{i}}^{(1)} \), \( {\text{S}}_{\text{i}}^{(2)} \), \( {\text{S}}_{\text{i}}^{(3)} \) and \( \sigma_{\rm di}^{2} \) were positively and significantly correlated indicating that just one in these five statistics is sufficient for selecting stable genotypes although they were not correlated with the means of crop yield and popping expansion. The \( \beta_{\rm i} \) was negatively and significantly correlated with Pi for crop yield indicating that the most adaptable genotypes tend to have the lowest estimates of Pi. Although Pi was not correlated with ωi, \( {\text{S}}_{\text{i}}^{(1)} \), \( {\text{S}}_{\text{i}}^{(2)} \), \( {\text{S}}_{\text{i}}^{(3)} \), or \( \sigma_{\rm di}^{2} \) statistics, it displayed positive correlation with the Index 1 (crop yield and popping expansion + \( {\text{S}}_{\text{i}}^{(1)} \) rank) and Index 2 (crop yield and popping expansion + Wi) indicating that superior popcorn genotypes are also stable. Finally, both Pi and the rank-sum are useful statistics in breeding programmes where crop yield, popping expansion and stability are essential traits for selecting genotypes.
Similar content being viewed by others
References
Abdulahi A, Mohammadi R, Pourdad SS (2007) Evaluation of safflower (Carthamus spp.) genotypes in multi-environmental trials by nonparametric methods. Asian J Plant Sci 6:827–832
Allard RW, Bradshaw AD (1964) Implications of genotype-environmental interactions in applied plant breeding. Crop Sci 4:503–507
Becker HC, Léon J (1988) Stability analysis in plant breeding. Plant Breed 101:01–23
Crossa J (1990) Statistical analysis of multilocation trials. Adv Agron 44:55–85
Duarte JB, Zimmermann MJ (1995) Correlation among yield stability parameters in common bean. Crop Sci 35:905–912
Eberhart SA, Russell WA (1966) Stability parameters for comparing varieties. Crop Sci 6:36–40
Farias FJC, Ramalho MAP, Carvalho LP, Moreira JAN, Costa JN (1995) Comparação entre métodos de avaliação de estabilidade para rendimento em cultivares de algodoeiro herbáceo. Ciência e Prática 19:252–255
Farias FJC, Ramalho MAP, Carvalho LP, Moreira JAN, Costa JN (1997) Parâmetros de estabilidade propostos por Lin and Binns (1988) comparados com o método da regressão. Pesq Agropec Bras 32:407–414
Helgadóttir A, Kristjánsdóttir T (1991) Simple approach to the analysis of GxE interactions in a multilocational spaced plant trial with timothy. Euphytica 54:65–73
Hildebrand PE (1990) Modified stability analysis and on-farm research to breed specific adaptability for ecological diversity. In: Kang MS (ed) Genotype-by-environment interaction and plant breeding. Louisana State University of Agricutural Center, Baton Rouge, pp 169–180
Hopkins AA, Vogel KP, Moore KJ, Johnson KD, Carlson IT (1995) Genotype effects and genotype by environment interactions for traits of elite switchgrass populations. Crop Sci 35:125–132
Huehn M (1990a) Nonparametric measures of phenotypic stability. Part 1: theory. Euphytica 47:189–194
Huehn M (1990b) Nonparametric measures of phenotypic stability. Part 2: applications. Euphytica 47:195–201
Hühn M, Nassar R (1989) On tests of significance for nonparametric measures of phenotypic stability. Biometrics 45:997–1000
Jalaluddin M, Harrison SA (1993) Repeatibility of stability estimates for grain yield of wheat. Crop Sci 33:720–725
Kang MS (1988) A rank-sum method for selecting high-yielding stable corn genotypes. Cereal Res Commun 16:113–115
Kang MS, Pham HN (1991) Simultaneous selection for high yielding and stable crop genotypes. Agron J 83:161–165
Lin CS, Binns MR (1988) A superiority measure of cultivar performance for cultivar x location data. Can J Plant Sci 68:93–198
Mekbib F (2003) Yield stability in common bean (Phaseolus vulgaris L.) genotypes. Euphytica 130:147–153
Mohammadi R, Amri A (2008) Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica 159:419–432
Mohammadi R, Abdulahi A, Haghparast R, Armion M (2007) Interpreting genotype x environment interactions for durum wheat grain yields using nonparametric methods. Euphytica 157:239–251
Nassar R, Hühn M (1987) Studies on estimation of phenotypic stability: tests of significance for nonparametric measures of phenotypic stability. Biometrics 43:45–53
Oliveira EJ, de Godoy IJ, Moraes ARA, Martins ALM, Pereira JCVNA, Bortoletto N, Kasal FS (2006) Adaptability and stability of peanut genotypes of runner growth habit. Pesq Agrop Bras 41:1253–1260
Sabaghnia N, Dehghani H, Sabaghpour SH (2006) Nonparametric methods for interpreting genotype x environmental interaction of lentil genotypes. Crop Sci 46:1100–1106
Scapim CA, Oliveira VR, Braccini AL, Cruz CD, Andrade CAB, Gonçalves-Vidigal MC (2000) Yield stability in maize (Zea mays L.) and correlations among the parameters of the Eberhart and Russell, Lin and Binns and Huehn models. Genet Mol Biol 23:387–393
Segherloo AE, Sabaghpour SH, Dehghani H, Kamrani M (2008) Non-parametric measures of phenotypic stability in chickpea genotypes (Cicer arietinum L.). Euphytica 162:221–229
Steel RGD, Torrie JH (1980) Principles and procedures of statistics. McGraw Hill, New York
Tai GCC (1971) Genotypic stability analysis and its application to potato regional trials. Crop Sci 11:184–190
Vendruscolo EC, Scapim CA, Pacheco CAP, Oliveira VR, Braccini AL, Gonçalves-Vidigal MC (2001) Adaptabilidade e estabilidade de cultivares de milho pipoca na região centro sul do Brasil. Pesq Agrop Bras 36:123–130
Wricke G (1965) Zur berechning der okovalenz bei sommerweizen und hafer. Pflanzenzuchtung 52:127–138
Yue GL, Roozeboom KL, Schapaugh WT Jr, Liang GH (1997) Evaluation of soybean cultivars using parametric and nonparametric stability estimates. Plant Breed 116:271–275
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Scapim, C.A., Pacheco, C.A.P., do Amaral Júnior, A.T. et al. Correlations between the stability and adaptability statistics of popcorn cultivars. Euphytica 174, 209–218 (2010). https://doi.org/10.1007/s10681-010-0118-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10681-010-0118-y