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Genotype by environment interaction and yield stability in sugarcane
Interacción genotipo x ambiente y estabilidad del rendimiento en caña de azúcar
DOI:
https://doi.org/10.15446/rfna.v70n2.61790Keywords:
g x e interaction, phenotypic stability, rank correlation, Saccharum spp hybrid (en)Interacción G x A, Estabilidad fenotípica, Correlación de rango, Saccharum spp., Híbrido (es)
Genotype by environment interaction (GEI) reduces the association between phenotype and genotype which result in relative ranking and stability differences of genotypes across environment. The objectives of this research were (i) to select sugarcane genotypes of high yield and stable (ii) to study the interrelationships among various parametric and no parametric stability statistics. Seventeen experimental genotypes and three check cultivars of sugarcane were evaluated at seven environment using randomized completely block design. Methodologies based on analysis parametric (Regression-bi-S2di, Shukla variance, Ecovalence-W, Coefficient of variation-CV, index of Lin and Binns-PI and AMMI value) and non-parametric statistics (Nassar and Huehn- Si(1), Si(2), Si(3), Si(6), Kang-RS, Fox-TOP, and Thennarasu- NPi(1) , NPi(2), NPi(3), NPi(4)) were used for Ton of Pol per hectare (TPH). Genotypes and environment showed high significant difference (P<0.01) while GEI was significant (P<0.05). The parametric stability analysis identified the genotypes V99-236 and V00-50 as the most stable and high TPH. With non-parametric statistics were identified the genotypes V00-50, V99-236 and V98-120 as most stable. The analysis distinguished two groups of statistics using biplot: the first group (G1) formed by PI, CV, ASV, TOP, Si(3), Si(6), NPi(2), NPi(3) and NPi(4) statistics were located under the concept of dynamic stability since they are associated with TPH. The other group (G2), formed by Shukla, W, S2di, bi, RS, Si(2), Si(1), NPi(1) statistics, fell within the static concept. Finally, genotypes V99-236 and V00-50 can be recommended as the most stable genotype in terms of both, stability and TPH.
La interacción genotipo por ambiente (GEI) reduce la asociación entre el fenotipo y el genotipo lo cual genera cambios en el orden y en la estabilidad de genotipos a través de ambientes. Los objetivos de esta investigación fueron: (i) seleccionar genotipos de caña de azúcar de alto rendimiento y estables (ii) evaluar las interrelaciones entre diversos métodos de estabilidad paramétrica y no paramétrica. Diecisiete genotipos experimentales y tres cultivares testigos de caña de azúcar fueron evaluados en siete ambientes utilizando un diseño de bloques completamente aleatorizado. Metodologías basadas en el análisis estadístico paramétrico (Regression-bi-S2di, varianza de Shukla, Ecovalence-W, Coeficiente de variación-CV, índice de Lin y Binns-PI y AMMI) y no paramétrico (Nassar and Huehn- Si(1), Si(2), Si(3), Si(6), Kang-RS, Fox-TOP, and Thennarasu- NPi(1), NPi(2), NPi(3), NPi(4)) fueron usadas para evaluar el rendimiento en toneladas de Pol por Hectárea (TPH). Los genotipos y el ambiente mostraron diferencias estadísticamente significativas (P <0,01), mientras que la GEI fue significativo (P<0.05). Los estadísticos de estabilidad paramétricas identificaron los genotipos V99-236 y V00-50 como los más estables y de alto TPH y los no paramétricos distinguieron a los genotipos V00-50, V99-236 y V98-120. El biplot identifico dos grupos de estadísticos: El primer grupo formado por los estadísticos PI, CV, ASV, TOP, Si(3), Si(6), NPi(2), NPi(3), y NPi(4)) que se situaron bajo el concepto de estabilidad dinámica, ya que están asociados con TPH. El otro grupo (G2), formado por los estadísticos Shukla, W, S2di, bi, RS, Si(2), Si(1), NPi(1) caen dentro del concepto estabilidad estática. Finalmente, los genotipos V99-236 y V00-50 pueden ser recomendados como los más estables y de alto TPH.
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References
Balalic I, Zoric M, Miklic V, Dusanic N, Terzic S and Radic V. 2011. Non-parametric stability analysis of sunflower oil yield trials. Helia 34 (54): 67-78. doi: 10.2298/hel1154067b
Balzarini MG, Gonzalez L, Tablada M, Casanoves F, Di Rienzo JA, Robledo CW. 2008. Infostat. Manual del Usuario, Editorial Brujas, Córdoba, Argentina.
Bujak H, Nowosad K and Warzecha R. 2014. Evaluation of maize hybrids stability using parametric and nonparametric methods. Maydica 59:170-175.
Crossa, J. 1990. Statistical Analysis of Multilocation Trials. Adv. Agron. 44: 55-85. http://dx.doi.org/10.1016/S0065-2113(08)60818-4
Dehghani H, Sabaghpour SH and Sabaghnia N. 2008. Genotype×environment interaction for grain yield of some lentil genotypes and relationship among univariate stability statistics. Span. J. Agric. Res. 6: 385-394. doi: 10.5424/sjar/2008063-5292
De Mendiburu F. 2015 Agricolae: Statistical procedures for agricultural research. R package version 1.2-2. http://CRAN.R-project.org/package=agricolae
Eberhart SA and Russel WA.1966. Stability parameters for comparing varieties. Crop Sci 6: 36-40.
doi:10.2135/cropsci1966.0011183X000600010011x
Farshadfar E, Sabaghpour SH and Zali H. 2012. Comparison of parametric and non-parametric stability statistics for selecting stable chickpea (Cicer arietinum L.) genotypes under diverse environments. AJCS 6 (3): 514–524.
Finlay KW and Wilkinson GN.1963. The analysis of adaptation in a plant-breeding programs. AJARs 14: 742-754. doi: 10.1071/AR9630742
Flores F, Moreno MT and Cubero JI. 1998. A comparison of univariate and multivariate methods to analyze environments. Field Crop Res 56:271-286. doi:10.1016/s0378-4290(97)00095-6
Francis TR and Kannenberg LW.1978. Yield stability studies in short-season maize. 1. A descriptive method for grouping genotypes. CJPS 58: 1029-1034. doi: 10.4141/cjps78-157
Fox PN, Skovmand B, Thompson BK, Braun HJ and Cormier R.1990.Yield and adaptation of hexaploid spring triticale. Euphytica 47: 57- 64. doi: 10.1007/bf00040364
Guerra EP, Oliveira RA de, Daros E, Zambon JLC, Ido OT and Bespalhok Filho JC. 2009. Stability and adaptability of early maturing sugarcane clones by AMMI analysis. Crop Breeding and Applied Biotechnology 9:260-267. doi: 10.12702/1984-7033.v09n03a08
Huehn M.1990b. Non-parametric measures of phenotypic stability: Part II. Applications. Euphytica 47: 195-201. doi: 10.1007/bf00024242
Kang MS. 1988. A rank sum method for selecting high yielding and stable crop genotypes. Cereal Res Commun 16: 113-115
Kang MS, Miller JD, Darrah LL.1987. A note on relationship between stability variance and ecovalence. J Heredity 78:107.
Khalili M and Pour-Aboughadareh A. 2016. Parametric and non-parametric measures for evaluating yield stability and adaptability in barley doubled haploid lines. J. Agr. Sci. Tech. 18: 789-803.
Kilic H, Mevlut A and Husnu A. 2010. Assessment of parametric and nonparametric methods for selecting stable and adapted durum wheat genotypes in multi-environments. Not. Bot.HortiAgrobo.38:271–279. doi: http://dx.doi.org/10.15835/nbha3834742
Lin CS and Binns MR.1988. A superiority measure of cultivar performance for cultivar x location data. CJPS 68: 193-198.
Mohammadi R and 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. doi: 10.1007/s10681-007-9600-6
Mohammadi R, Abdulahi A, Haghparast R and Armion M. 2007. Interpreting Genotype×Environment Interactions for Durum Wheat Grain Yields Using Nonparametric Methods. Euphytica 157:239-251. doi: 10.1007/s10681-007-9417-3
Mut Z, Gulumser A and Sirat A. 2010. Comparison of stability statistics for yield in barley (Hordeum vulgare L.). Afr. J. Biotechnol. 9: 1610-1618. doi: 10.5897/AJB10.1404
Nassar R and Huehn M.1987. Studies on estimation of phenotypic stability: Tests of significance for non-parametric measures of phenotypic stability. Biometrics 43: 45-53. doi: 10.2307/2531698
Purchase JL, Hatting H and Vandeventer CS. 2000. Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Π. Stability analysis of yield performance. South Afric J Plant Soil 17:101-107.
doi: http://dx.doi.org/10.1080/02571862.2000.10634878
Rea R and De Sousa-Vieira O. 2002. Genotype x environment interactions in sugarcane yield trials in the central-western region of Venezuela INCI 27(11): 620-624.
Rea R, De Sousa-Vieira O, Díaz A, Ramón M, Briceño R, George J, Niño M and Demey J. 2015. Assessment of yield stability in sugarcane genotypes using non-parametric methods. Agronomía Colombiana 33(2): 131-138.
doi: https://doi.org/10.15446/agron.colomb.v33n2.49324
Scapim CA, Oliveira VR, Braceini AL, Cruz CD, Andrade CA, Vidial MCG. 2000.Yield stability in Maize (Zea mays L.) and correlation among the parameters of the Eberhart and
Russell, Lin and Binns and Huehn models. Genetics and Molecular Biology 23: 387-393. doi: 10.1590/S1415-47572000000200025
Segherloo AE, Sabaghpour SH, Dehghani H and Kamrani M. 2008. Nonparametric Measures of Phenotypic Stability in Chickpea Genotypes (Cicer arietinum L.). Euphytica 162: 221- 229. doi: 10.1007/s10681-007-9552-x
Shukla GK.1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity 29: 237-245. doi:10.1038/hdy.1972.87
Temesgen T, Kenenib G, Seferaa T, Jarsob M. 2015. Yield stability and relationships among stability parameters in faba bean (Vicia faba L.) genotypes. The Crop Journal 3: 258 – 268. http://dx.doi.org/10.1016/j.cj.2015.03.004
Thennarasu K.1995. On certain non-parametric procedures for studying genotype-environment interactions and yield stability. Ph.D. Thesis. P. J. School, IARI, New Delhi
Wricke G. 1962. Über eine Methode zür Erfassung der Okologischen Streubreite in Feldresuchen. Z. Pflanzenzuchtg 47: 92-96.
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