Biplot analysis to evaluate wheat performance and adaptability in multi-location trials of peninsular zone : Biplot analysis to evaluate wheat performance

AJAY VERMA; BHUDEVA SINGH TYAGI; GYANENDRA SINGH

doi:10.21921/jas.v11i01.14766

Authors

AJAY VERMA ICAR- Indian Institute of Wheat and Barley Research, Karnal 132001
BHUDEVA SINGH TYAGI ICAR- Indian Institute of Wheat and Barley Research, Karnal 132001
GYANENDRA SINGH ICAR- Indian Institute of Wheat and Barley Research, Karnal 132001

DOI:

https://doi.org/10.21921/jas.v11i01.14766

Keywords:

AMMI analysis, Biplot plots, BLUP and Non parametric measures

Abstract

Highly significant effects of environments (55.2%), genotype x environments interactions (19.3%) and genotypes (7.3%) were observed by AMMI analysis of twenty wheat genotypes evaluated at ten major locations of the peninsular zone during last cropping season. AMMI Stability Value had exploited the 62.8% of the interaction components had identified UAS3021, UAS3020, NIAW4183 whereas MASV and Superiority Index had settled for UAS3021, HD3469B, MACS3949 wheat genotypes. BLUP based measures analytic measures had settled for MACS6811, HI8826, UAS3020, NWS2222.Composite non parametric measure NP_i⁽¹⁾and NP_i⁽²⁾had identified MACS6222, UAS3021, MACS3949,PWU15 for stable performance. Biplot analysis had observed PWU15, HI8841, HI8826, HD3469B, UAS3201genotypes were placed at far places from the origin. Ninety degree association had observed of HMGV, HMGV*Mean b with NP_i⁽⁴⁾and SD values. AMMI based measures had also showed the ninety degree angles with rays corresponding to BLUP based analytic measures. Straight line angle of CV had observed with IPC3 and of IPC2 with rASV, IPC7 with HMGV, IPC6 with GAI measure.

Author Biographies

AJAY VERMA, ICAR- Indian Institute of Wheat and Barley Research, Karnal 132001

Principal Scientist

BHUDEVA SINGH TYAGI, ICAR- Indian Institute of Wheat and Barley Research, Karnal 132001

ICAR- Indian Institute of Wheat and Barley Research, Karnal 132001

GYANENDRA SINGH, ICAR- Indian Institute of Wheat and Barley Research, Karnal 132001

ICAR- Indian Institute of Wheat and Barley Research, Karnal 132001

References

Azam MG, Hossain MA, Sarker U, Alam AKMM, Nair RM, Roychowdhury R, Ercisli S and Golokhvast KS. 2023. Genetic Analyses of Mungbean [Vignaradiata (L.) Wilczek] Breeding Traits for Selecting Superior Genotype(s) Using Multivariate and Multi-Traits Indexing Approaches. Plants 12: 1984.

Bocianowski J and Prażak R. 2022. Genotype by year interaction for selected quantitative traits in hybrid lines of Triticumaestivum L. with AegilopskotschyiBoiss. andAe. variabilisEig. using the additive main effects and multiplicative interaction model. Euphytica 218 (2):11.

Hossain MA, Sarker U, Azam MG, Kobir MS, Roychowdhury R, Ercisli S, Ali D, Oba S and Golokhvast KS. 2023. Integrating BLUP, AMMI, and GGE Models to Explore GE Interactions for Adaptability and Stability of Winter Lentils (Lens culinarisMedik.).Plants 12: 2079.

Jędzura S, Bocianowski J and Matysik P. 2023.The AMMI model application to analyze the genotype–environmental interaction of spring wheat grain yield for the breeding program purposes. Cereal Research Communications 51: 197–205.

Karimizadeh R, Pezeshkpour P, Mirzaee A, Barzali M, Sharifi P and Safari Motlagh MR. 2023. Stability analysis for seed yield of chickpea (Cicerarietinum L.) genotypes by experimental and biological approaches. VavilovskiiZhurnalGenetikii Selektsii=Vavilov. Journal of Genetics and Breeding 27(2):135-145.

Khalid A, Hameed A, and Tahir MF. 2023. Estimation of genetic divergence in wheat genotypes based on agro-morphological traits through agglomerative hierarchical clustering and principal component analysis. Cereal Research Communications 51: 217–224.

Mohammadi R, Sadeghzadeh B, Ahmadi MM and Amri A. 2020a. Biological interpretation of genotype × environment interaction in rainfed durum wheat. Cereal Research Communications 48(4):547-554.

Mohammadi R, Sadeghzadeh B, Poursiahbidi MM and Ahmadi MM. 2020b. Integrating univariate and multivariate statistical models to investigate genotype × environment interaction in durum wheat. Annals Applied Biology 178(3):450-465.

Mohammadi R, Jafarzadeh J, Poursiahbidi M M, Hossein H and Ahmed A. 2023. Genotype-by-environment interaction and stability analysis for grain yield in durum wheat using GGE biplot and genotypic and environmental covariates. Agriculture Research 6: 1–11.

Olivoto T, Lucio ADC, da Silva JAG, Marchioro VS and de Souza VQ. 2019. Mean performance and stability in multi-environment trials I: Combining features of AMMI and BLUP techniques. Agronomy Journal 111(6): 2949-2960.

Pour-Aboughadareh A, Yousefian M, Moradkhani H, Poczai P, Siddique KHM. 2019. STABILITYSOFT: a new online program to calculate parametric and non- parametric stability statistics for crop traits. Applied Plant Science 7:e-1211.

Saeidnia F, Taherian M, and Nazeri SM. 2023.Graphical analysis of multi-environmental trials for wheat grain yield based on GGE-biplot analysis under diverse sowing dates. BMC Plant Biology 23: 198.

Saremirad A and Taleghani D. 2022.Utilization of univariate parametric and non-parametric methods in the stability analysis of sugar yield in sugar beet (Beta vulgaris L.) hybrids. Journal Crop Breeding 14: 49–63.

Shojaei SH, Mostafavi K, Omrani A, Omrani S, Mousavi SMN, Illes A, Bojtor C, Nagy J. 2021. Yield stability analysis of maize (Zea mays L.) hybrids using parametric and AMMI methods. Hindawi Science 2021:5576691.

Taleghani D, Rajabi A, Saremirad A, FasahatP. 2023. Stability analysis and selection of sugar beet (Beta vulgaris L.) genotypes using AMMI, BLUP, GGE biplot and MTSI. Scientific Reporter 13: 10019.

Vineeth T. 2022. Weighted average absolute scores of BLUPs (WAASB) based selection of stable Asiatic cotton genotypes for the salt affected Vertisols of India. Indian Journal Genetics Plant Breeding 82: 104–108.

Zali H, Farshadfar E, Sabaghpour SH, Karimizadeh R. 2012. Evaluation of genotype×environment interaction in chickpea using measures of stability from AMMI model. Annals Biological Research 3(7): 3126- 3136.

Biplot analysis to evaluate wheat performance and adaptability in multi-location trials of peninsular zone