Wheat Genotypes Evaluated under Central Zone for Stability Analysis by Rank based Measures Considering BLUP and BLUE of Yield Values

Ajay Verma; G. P. Singh

Wheat Genotypes Evaluated under Central Zone for Stability Analysis by Rank based Measures Considering BLUP and BLUE of Yield Values

Ajay Verma , G. P. Singh

Affiliations
1 ICAR-Indian Institute of Wheat and Barley Research, Karnal (Haryana), India

Rank based measures of stability had been compared for wheat genotypes evualated in Central Zone of the country as per the BLUP and BLUE of yield values. Measures based on ranks of BLUP of original yield for 2016-17, S_i^s measures identified G3, G7, G4 as stable genotypes. Corrected yield measures CS_i^s selected G4, G7, G3 for stable performance. Values of NP_i^(s) identified G1, G6 as of undesirable types. Association analysis observed positive correlations of S_i^s, with others and themselves. Positive relationships also exhibited by CS_i^s and NP_i^(s) values to other measures. Biplot analysis exhibited cluster of S_i⁶ , S_i³ , CV, NP_i⁽²⁾, NP_i⁽³⁾, NP_i⁽⁴⁾ and CS_i⁷. Larger cluster comprised of NP_i⁽¹⁾ CCV, CSD S_i¹, S_i², S_i⁴, S_i ⁵, S_i⁷ , CS_i ¹, CS_i², CS_i ³, CS_i ⁴, CS_i ⁵, CS_i⁶ measures. Based on BLUE’s of genotypes yield, measures S_is found G3, G7, G4 as the stable genotypes, however G1, G2 would express unstable performance. CS_i^s identified G7, G3, G6 as opposed to G3, G5, G7 genotypes as by values NP_i^(s). Positive correlations exhibited by S_isexcept of negative with CMR, CMed, Z1 and Z2 values. Ranks of genotypes as per values of CS_i^s and NP_i^(s) measures expressed direct relationship with most of the measures. Biplot analysis observed large cluster comprised of CCV, CSD, NP_i⁽¹⁾, S_i¹, S_i², S_i⁴,CS_i¹, CS_i², CS_i ³, CS_i⁴, CS_i⁵, CS_i⁶, CS_i⁷ measures. Second year of study (2017-18) as per BLUP’s seen, S_i^s settled for G6, G5, G3 genotypes. While NP_i^(s) settled for G6, G3,G5 as genotypes of stable performance. Highly significant negative correlation of yield observed with most of the measures MR, CV, Med, S_i³, S_i⁶ ,CMR,NP_i⁽²⁾, NP_i⁽³⁾, NP_i⁽⁴⁾. Biplot analysis as per first two significant components (accounted for 88.7 %) marked larger cluster contains CS_i^s with NP_i⁽¹⁾, S_i¹, S_i2 S_i⁴, S_i5 S_i⁷ ,SD, CSD measures. S_is rank based measures as per BLUE’s of genotypes pointed towards G5,G4, G6, G1 whereas G6, G5, G1,G3 by CS_i^s values. Wheat genotypes G1,G2, G3,G5 settled by least values of NP_i^(s) . Direct relationships portraited by S_i^s, CS_i^s and NP_i^(s) with others. Larger cluster grouped NP_i^(s), CV, CCV, Z1, Z2, Yield, GAI, CS_i⁵, CS_i6 measures.

Keywords

Blup, Blue, S_i^(s), CS_i ^(s), NP_i^(s), Co-efficient Of Concordance, Biplot Analysis.

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Adugna, W. and Labuschagne, M.T. (2003). Parametric and nonparametric measures of phenotypic stability in linseed (Linum usitatissimum L.). J. Euphytica, 129 (2): 211-218.

Ahmadi, J., Vaezi, B., Shaabani, A., Khademi, K., Ourang, S. Fabriki and Pour-Aboughadareh, A. (2015). Non-parametric measures for yield stability in grass pea (Lathyrus sativus L.) advanced lines in semi warm regions. J. Agric. Sci. Tech., 17: 1825-1838.

Bredenkamp, J. (1974). Non-parametric prufung von wechsewirkungen. Psychol. Beitr., 16 : 398-416.

Cravero, V., Martin, E., Anido, F.L. and Cointry, E. (2010). Stability through years in a non-balanced trial of globe artichoke varietal types. Sci. Hort., 126: 73-77.

Flores, F., Moreno, M.T. and Cubero, J.I. (1998). Acomparison of univariate and multivariate methods to analyze environments. Field Crops Res., 56 : 271-286.

Fox, P., Skovmand, B., Thompson, B., Braun, H.J. and Cormier, R. (1990). Yield and adaptation of hexaploid spring triticale. Euphytica, 47: 57-64.

Gauch, H.G. and Zobel, R.W. (1996). AMMI analysis of yield trials. In: Genotype-by-environment Interaction (Kang, M.S. and H.G. Gauch, eds.), CRC Press, Boca Raton, FL: 85- 122.

Huehn, M. (1979). Beitragezurerfassung der phanotypischenstabilitat. EDV Med. Biol., 10:112-117.

Huehn, M. (1990a). Non-parametric measures of phenotypic stability. Part 1: Theory. Euphytica, 47:189-194.

Huehn, M. (1990b). Non-parametric measures of phenotypic stability: Part 2. Application. Euphytica, 47:195-201.

Huehn, M. (1996). Non-parametric analysis of genotype x environment interactions by ranks. In: Kang, M.S. and Gauch, H.G. (eds) Genotype by Environment Interaction. CRC Press, Boca Raton, pp. 213 - 228.

Hussein, M.A., Bjornstad, A. and Aastveit, A.H. (2000). SASG x ESTAB: A SAS programme for computing genotype x environment stability statistics. Agron. J., 92: 454-459.

Isik, K. and Kleinschmit, J. (2003). Stability related parameters and their evaluation in a 17-year old Norway spruce clonal test series. Silvae Genetica, 52 : 133–138.

Ketata, H., Yan, S.K. and Nachit, M. (1989). Relative consistency performance across environments. Int Symp on Physiology and Breeding of Winter Cereals for Stressed Mediterranean Environments. Montpellier, July 3-6.

Khalili, M. and Pour-Aboughadareh, A. (2016). Parametric and non- parametric measures for evaluating yield stability and adaptability in barley doubled haploid lines. J. Agric. Sci. & Technol., 18 : 789–803.

Kubinger, K.D. (1986). A note on non-parametric tests for the interaction on two-way layouts. Biomet. J., 28 : 67- 72.

Lin, C.S., Binns, M.R. and Lefkovitch, L.P. (1986). Stability analysis : Where do we stand? Crop Sci., 26 : 894-900.

Liu,Y.J., Duan, C., Tian, M.L., Hu, E.L. and Huang,Y.B. (2010). Yield stability of maize hybrids evaluated in maize regional trials in southwestern china using nonparametric methods. Agric. Sci. China., 9: 1413- 1422.

Nassar, R. and Huehn, M. (1987). Studies on estimation of phenotypic stability: tests of significance for non-parametric measures of phenotypic stability. Biometric., 43: 45- 53.

Piepho, H.P. and Lotito, S. (1992). Rank correlation among parametric and nonparametric measures of phenotypic stability. Euphytica, 64 : 221–225.

Sabaghnia, N., Dehghani, H. and Sbaghpour, S.H. (2006). Nonparametric methods for interpreting genotype × environment interaction of lentil genotypes. Crop Sci., 46 : 1100-1106.

Spearman, C. (1904). The proof and measurement of association between two things. Amer. J. Psychol., 15:72-101.

Thennarasu, K. (1995). On certain non-parametric procedures for studying genotype-environment interactions and yield stability. Ph.D. Thesis, P.G. School, IARI, New Delhi, India.

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Wheat Genotypes Evaluated under Central Zone for Stability Analysis by Rank based Measures Considering BLUP and BLUE of Yield Values

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Authors

Ajay Verma
ICAR-Indian Institute of Wheat and Barley Research, Karnal (Haryana), India

G. P. Singh
ICAR-Indian Institute of Wheat and Barley Research, Karnal (Haryana), India

Abstract

Keywords

Blup, Blue, S_i^(s), CS_i ^(s), NP_i^(s), Co-efficient Of Concordance, Biplot Analysis.

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International Journal of Agricultural Sciences

International Journal of Agricultural Sciences

Wheat Genotypes Evaluated under Central Zone for Stability Analysis by Rank based Measures Considering BLUP and BLUE of Yield Values

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Wheat Genotypes Evaluated under Central Zone for Stability Analysis by Rank based Measures Considering BLUP and BLUE of Yield Values

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