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Research Article

Assessment of genetic diversity and stability performance of 38 genotypes of onion (Allium cepa L.)

ORCID Icon, ORCID Icon, ORCID Icon, & ORCID Icon
Pages 560-569 | Received 04 Sep 2023, Accepted 29 Jan 2024, Published online: 21 Feb 2024

References

  • Adebola, P. O., Shegro, A., Laurie, S. M.,Zulu, L.N. and Pillay, M. (2013). Genotype x environment interaction and yield stability estimate of some sweet potato [ipomoea batatas (L.) Lam] breeding lines in South Africa. Journal of Plant Breeding and Crop Science, 5(9), 182–186. https://doi.org/10.5897/jpbcs2013.0387
  • Benke, A. P., Dukare, S., Mahajan, V., & Singh, M. (2018). Genetic divergence studies for bulbing and related traits in garlic germplasm during kharif season. International Journal of Current Microbiology and Applied Sciences, 7(1), 2920–2927. https://doi.org/10.20546/ijcmas.2018.701.349
  • Benke, A. P., Krishna, R., Mahajan, V., Ansari, W. A., Gupta, A. J., Khar, A., Shelke, P., Thangasamy, A., Shabeer, T. P. A., Singh, M., Bhagat, K. P., & Manjunathagowda, D. C. (2021). Genetic diversity of Indian garlic core germplasm using agro-biochemical traits and SRAP markers. Saudi Journal of Biological Sciences, 28(8), 4833–4844. https://doi.org/10.1016/J.SJBS.2021.05.013
  • Branković-Radojčic, D., Babić, V., Girek, Z., Zivanovic, T., Radojĉic, A., Filipovic, M., & Srdic, J. (2018). Evaluation of maize grain yield and yield stability by AMMI analysis. Genetika, 50(3), 1067–1080. https://doi.org/10.2298/GENSR1803067B
  • Butt, A. M. (1968). Vegetative growth, morphogenesis and carbohydrate content of the onion plant as a function of light and temperature under field- and controlled conditions. Meded Landbouwhogesch Wagenigen, 68, 1–211. https://edepot.wur.nl/192238
  • Chatterjee, C., Debnath, M., Karmakar, N., & Sadhukhan, R. (2019). Stability of grass pea (lathyrus sativus L.) genotypes in different agroclimatic zone in eastern part of India with special reference to West Bengal. Genet Resour Crop Evol, 66(7), 1515–1531. https://doi.org/10.1007/s10722-019-00809-2
  • Chavez-Servia, J. L., Collado-Panduro, L. A., & Pinedo-Ramirez, R.,Sevilla-Panizo, R., Guillén-Huachua, W. and Mori-Castro, J. (2006) Environmental effect and genotypic variation of maize on-farm in Peruvian Central Amazon. In: Enhancing the use of crop genetic diversity to manage abiotic stress in agricultural production systems. Proceedings of a workshop, Budapest, Hungary, 23-27 May, 2005. pp 39–47.
  • Crossa, J., & Cornelius, P. L. (1997). Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances. Crop Science, 37(2), 406–415. https://doi.org/10.2135/cropsci1997.0011183X003700020017x
  • Crossa, J., Cornelius, P. L., & Yan, W. (2002). Biplots of linear-bilinear models for studying crossover genotype × environment interaction. Crop Science, 42(2), 619–633. https://doi.org/10.2135/cropsci2002.6190
  • Ebdon, J. S., & Gauch, H. G. (2002). Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: I. Interpretation of genotype × environment Interaction. Crop Science, 42(2), 489–496. https://doi.org/10.2135/cropsci2002.4890
  • Eberhart, S. A., & Russell, W. A. (1966). Stability parameters for comparing varieties 1. Crop Science, 6(1), 36–40. https://doi.org/10.2135/cropsci1966.0011183x000600010011x
  • FAOSTAT. (2023) FAOSTAT: Food and agriculture organization (FAO) of the United Nations Statistics Division. Economic and Social Development Department. Retrieved July 12, 2023. from http://www.fao.org/faostat
  • Gauch, H. G. (2013). A simple protocol for AMMI analysis of yield trials. Crop Science, 53(5), 1860–1869. https://doi.org/10.2135/cropsci2013.04.0241
  • Gauch, R. H., & Zobel, W. (1996). AMMI analysis of yield trials. Genotype-by-Environment Interaction. https://www.researchgate.net/publication/285717060
  • Ghaderi, A., Adams, M. W., & Nassib, A. M. (1984). Relationship between genetic distance and heterosis for yield and morphological traits in dry edible bean and faba bean 1. Crop Science, 24(1), 37–42. https://doi.org/10.2135/cropsci1984.0011183x002400010009x
  • Girek, Z., Prodanović, S., Živanović, T.,Zdravković, J., Đorđević, M., Adžić, S., & Zdravković, M. (2013). Analysis of GxE interaction by using AMMI model in melon breeding. Zb naučnih Rad Instituta PKB Agroekonomik, 19(1–2), 165–174. https://www.researchgate.net/publication/311935390
  • Gupta, A. J., Mahajan, V., Benke, A. P., & Singh, M. (2017). Onion and garlic varieties. Indian Horticulture 62(6) , 16–18. https://epubs.icar.org.in/index.php/IndHort/article/view/87678
  • Gvozdanovic-Varga, J., Vasic, M., Cervenski, J., & Bugarski, D. (2004). Genotype and environment effects on yield and quality of winter garlic. ABI Genetika, 36(2), 161–170. https://doi.org/10.2298/gensr0402161g
  • Jackson, P., Robertson, M., Cooper, M., & Hammer, G. (1996). The role of physiological understanding in plant breeding; from a breeding perspective. Field Crops Research, 49(1), 11–37. https://doi.org/10.1016/S0378-4290(96)01012-X
  • Kempton, R. A. (1998). The use of biplots in interpreting variety by environment interactions. The Journal of Agricultural Science, 103(1), 123–135. https://doi.org/10.1017/S0021859600043392
  • Khar, A., Asha, D., Mahajan, V., & Lawande, K. E. (2006). Genetic diversity analysis in elite lines of late kharif (Rangda) onion. Journal of Maharashtra Agricultural University, 31(1), 49–52. https://www.researchgate.net/publication/299137129
  • Lacaze, X., & Roumet, P. (2004). Environment characterisation for the interpretation of environmental effect and genotype ? environment interaction tag. Theoretical and Applied Genetics Theoretische Und Angewandte Genetik, 109(8), 1632–1640. https://doi.org/10.1007/s00122-004-1786-6
  • Lakic, Ž., Balalic, I., & Vojin, S. (2015). Interpretation of genotype × environment interaction in perennial ryegrass (Lolium perenne L.). Genetika, 47(2), 509–522. https://doi.org/10.2298/GENSR1502509L
  • Lee, E. T., Ching, D. H., & Kwon, B. S. (1996). Varietal classification by multivariated analysis in onion (allium cepaL). Korean Journal of Horticultural Science and Technology, 37(1), 37–41. https://www.cabidigitallibrary.org/doi/full/10.5555/19961609868
  • Melita, D. R., Golani, I. J., Vadddria, M. A., & Ddbariya, K. L. (2003). Stability analysis for bulb yield and its attributes in onion.
  • Osiru, O. M., Olanya, O. M., Adipala, E., Kapinga, R.E.G.I.N.A., & Lemaga, B.E.R.G.A. (2009). Yield stability analysis of Ipomoea batatus L. cultivars in diverse environments. Australian Journal of Crop Science, 3(4), 213–220. https://search.informit.org/doi/10.3316/informit.037732748411875
  • Pavlović, N., Girek, Z., Zdravković, M., Gvozdanovic-Varga, J., Moravcevic, D., & Zdravkovic, J. (2017). Mode of inheritance and AMMI analysis of onion (allium cepa L.) bulb traits. Genetika, 49(2), 729–742. https://doi.org/10.2298/GENSR1702729P
  • Pike, L. M. (1986). Breeding vegetable crops (Onion breeding; MJ Basset, Ed.). AVI; West port.
  • Purchase, J. L., Hatting, H., & van Deventer, C. S. (2000). Genotype × environment interaction of winter wheat (triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. South African Journal of Plant and Soil, 17(3), 101–107. https://doi.org/10.1080/02571862.2000.10634878
  • Rodrigues, P. C., Malosetti, M., Gauch, H. G., & van Eeuwijk, F. A. (2014). A weighted AMMI algorithm to study genotype-by-environment interaction and QTL-by-environment interaction. Crop Science, 54(4), 1555–1570. https://doi.org/10.2135/cropsci2013.07.0462
  • Sadeghi, S. M., Samizadeh, H., Amiri, E., & Ashouri, M. (2011). Additive main effects and multiplicative interactions (AMMI) analysis of dry leaf yield in tobacco hybrids across environments. African Journal of Biotechnology, 10(21) , 4358–4364. https://www.ajol.info/index.php/ajb/article/view/93628
  • Singh, A. R. (2012). Estimates of stability parameters for yield and its components in cucumber (Cucumis sativus L.). Vegetation Science, 39(1), 31–34. https://www.indianjournals.com/ijor.aspx?target=ijor:vgt&volume=39&issue=1&article=005
  • Singh, S. R., Ahmed, N., & Lal, S.,Ganie, S.A., Mudasir, A., Nusarat, J. and Amin, A. (2013). Determination of genetic diversity in onion (allium cepa L.) by multivariate analysis under long day conditions. African Journal of Agricultural Research, 8, 5599–5606. https://doi.org/10.5897/AJAR2013.7969
  • Singh, R. K., Dubey, B. K., Bhonde, S. R., & Gupta, R. P. (2010). Variability studies for some quantitative characters in white onion (Allium cepa L.) advance lines. Vegetation Science, 37(1), 105–107. https://www.indianjournals.com/ijor.aspx?target=ijor:vgt&volume=37&issue=1&article=028
  • Snider, J. L., Collins, G. D., Whitaker, J., & Davis, J. W. (2013). Quantifying genotypic and environmental contributions to yield and fiber quality in Georgia: Data from seven commercial cultivars and 33 yield environments. Journal of Cotton Science, 17(4), 285–293. https://www.cotton.org/journal/2013-17/4/upload/jcs17-285.pdf
  • Team, R. (2020) Rstudio: Integrated development environment for R (RStudio, PBC, Boston, MA, 2020). http://www.rstudio.com.
  • Thangavel, P., Anandan, A., & Eswaran, R. (2011). AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown mungbean (Vigna radiata L.). Australian Journal of Crop Science, 5(13), 1767–1775. https://www.cropj.com/annandan_5_13_2011_1767_1775.pdf
  • Thanki, H. P., Sawargaonkar, S. L., & Hudge, B. V. (2010). Genotype x environment interaction for biometrical traits in pigeonpea (cajanus cajan L. Millsp)under varying spacings. Electronic Journal of Plant Breeding, 1(4), 925–928. https://www.researchgate.net/publication/46194350
  • Tolessa, T. T., Keneni, G., Sefera, T.,Jarso, M. and Bekele, Y. (2013). Genotype x environment interaction and performance stability for grain yield in field pea (pisum sativum L.) genotypes. International Journal of Plant Breeding, 7(2), 116–123. https://www.researchgate.net/publication/258311588
  • Tuberosa, R., & Kang, M. S. (2004). Quantitative genetics, genomics and plant breeding. Quantitative Genetics, Genomics and Plant Breeding, 93(2), 225. https://doi.org/10.1093/aob/mch020
  • Vargas Hernandez, M., & Crossa, J. (2000). The AMMI analysis and graphing the biplot. Cimmyt. http://hdl.handle.net/10883/585
  • Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236–244. https://doi.org/10.1080/01621459.1963.10500845
  • Yan, W., & Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science, 86(3), 623–645. https://doi.org/10.4141/P05-169

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