Sorghum is a prominent cereal crop, particularly in the world's semi-arid tropics. It is grown in over 105 countries across Africa, Asia, Oceania, and the Americas on 40 million hectares. Sorghum is an important indigenous food crop, second only to teff in terms of production of injera (leavened native flat bread). The majority of sorghum varieties are recommended for various agro ecological zones (AEZs), and no single variety is appropriate for all of Ethiopia's circumstances (GxE). GxE affects grain yield, nutritional quality and content, as well as physicochemical and malting quality. The interaction of an organism's genetic composition with its environment results in phenotype, which is a physical trait. The presence of GEI complicates the selection of yield and yield-related traits. GEI can inhibit progress in the selection process and is a key driver of genotype-to-genotype yield stability differences. Plant breeders should investigate GEI in order to better understand crop development in relation to biophysical conditions. In different agro-ecologies, locales, and seasons, genotypes will respond differently. Agronomic/dynamic stability refers to a genotype's ability to adapt to changes in the environment. Breeders should encourage the development of varieties/hybrids that can adapt to a wide range of environments. Crossover and non-crossover gene x environment interactions (GEI) are the two forms of GEI. When there is a disparity in genotypic performance between individuals. Statistical analysis of yield studies can help agronomists, breeders, and other agricultural specialists make faster progress. G x E Interaction and Stability Analysis permits genotypes' relative performance and stability for yield and yield-related variables to be assessed. Therefore the objective of this review study is to assess the role of G x E on yield stability of sorghum.
| Published in | International Journal of Genetics and Genomics (Volume 10, Issue 1) |
| DOI | 10.11648/j.ijgg.20221001.13 |
| Page(s) | 12-20 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Sorghum, Yield, Genotype, Stability
| [1] | Abiy Legesse and Firew Mekbib. (2016). Genotype X Environment Interaction and Stability of Early Maturing Sorghum [Sorghum bicolor (L.) Moench] Genotypes in Ethiopia. M.Sc. Thesis, Alemaya University of Agriculture, Ethiopia: 2016-01-04T05: 19: 25Z. |
| [2] | Acquaah, G. (2012). Principles of plant genetics and breeding 2nded. First published by John Wiley & Sons, Ltd. 740p. |
| [3] | Admas, S., &Tesfaye, K. (2017). Genotype-by-environment interaction and yield stability analysis in sorghum (Sorghum bicolor (L.) Moench) genotypes in North Shewa, Ethiopia. Agriculture and Environment, 9, 82–94. https://doi.org/10.1515ausae-2017-0008 |
| [4] | Adugna, A. (2007). Assessment of yield stability in sorghum. African Crop Science Journal, 15 (2), 83–92. http://dx.doi.org/10.4314/acsj.v15i2.54421 |
| [5] | Basford, K. E. and Cooper, M. (1998). Genotype x environment interactions and some considerations of their implications for wheat breeding in Australia. Australian Journal of Agricultural Research 49: 153-174. |
| [6] | Becker, H. C. and Léon, L., (1988). Stability analysis in plant breeding. Plant Breeding, 101: 123. |
| [7] | Beker, R. J. 1988. Tests for crossover genotype by environmental interactions. Can.j. plant sci 48: 405-410. |
| [8] | Braun, H. J., Rajaram, S. and Ginel, M. V. (1996). CIMMYT's approach to breeding for wide adaptation. Euphytica, 92: 175-183. |
| [9] | Central Statistical Agency, CSA. (2017). Report on area and production of crops (Statistical Bulletin 584, Volume I). Addis Abeba, Ethiopia. |
| [10] | Crossa, J. (1990). Statistical analyses of multi-location trials. Advances in agronomy 44: 55-85. |
| [11] | CSA (Central Statistical Agency). 2018. Agricultural Sample Survey report on Area and Production of Major Crops (Private Peasant Holdings ‘Meher’ Season): Statistical Bulletin 585. Addis Ababa, Ethiopia. |
| [12] | Dahlberg JA, Burke JJ, Rosenow DT. (2004). Development of a sorghum core collection: refinement and evaluation of a subset from Sudan. Econ Bot 58: 556-567. |
| [13] | Dial, H. L. (2012). Plant guide for sorghum (Sorghum bicolor L.). USDA-Natural Resources Conservation Service, Tucson Plant Materials Center, Tucson, AZ. |
| [14] | Ding, M., Tier, B. and Yan, W. (2007). Application of GGE biplot analysis to evaluate genotype (G), environment (E) and GxE interaction on P. radiata: case study. Pages 132-142 in Australasian Forest Genetics Conference, 11th- 14th April 2007, the Old Woolstore, Hobart, Tasmania, Australia. |
| [15] | Doggett, H. (1988) Sorghum. 2nd ed. Longman, London. |
| [16] | Eberhart S. A., and Russell W. A. (1966). Stability Parameters for Comparing Varieties. Iowa State University, Crop Science. 6: 36-40. |
| [17] | Edwards, J. W. and Jannink, J. L., (2006). Bayesian modeling of heterogeneous error and genotype by environment interaction variances. Crop Science 46 (2): 820-833. |
| [18] | Ethiopian Institute of Agricultural Research (EIAR), 2014. Ethiopian strategy for sorghum. Country strategy document. |
| [19] | Ezzat, E. M., Ali, M. A. and Mahmoud, A. M. (2010). Agronomic performance, genotype x environment interactions and stability analysis of grain sorghum (Sorghum bicolor L. Moench). Asian Journal of Crop Science, 2: 250-260. |
| [20] | Falconer, D. S. and Mackay, T. F. C. (1996). Introduction to quantitative genetics. 4th edition, Longman, New York P. 132-133. |
| [21] | Farshadfar, E., Rasoli, V., Teixeira da Silva, J. A. and Farshadfar, M., (2011). Inheritance of drought tolerance indicators in bread wheat (Triticum aestivum L.) using a diallel technique. Australian Journal of Crop Science, 5 (7): 870-878. |
| [22] | Farshadfar, E., Sabaghpour, S. H. and Khaksar, N., (2008). Inheritance of drought tolerance in chickpea (Cicer arietinum L.) using joint scaling test. Journal of. Applied. Science, (8): 3931-3937. |
| [23] | Figueiredo, U. J., Nunes J. A. R., da C. Parrella R. A., Souza E. D., da Silva A. R., Emygdio B. M., Machado J. R. A. and Tardin F. D. (2015). Adaptability and stability of genotypes of sweet sorghum by GGE Biplot and Toler methods. Genetics and Molecular Research, 14 (3): 11211-11221. |
| [24] | Finlay, K. W. and Wilkinson, G. N. (1963). The analysis of adaptation in a plant breeding program. Australian Journal of Agricultural Research, 14: 742-754. |
| [25] | Food and Agriculture Organization (FAO) (2017). Food and Agriculture Organization of the United Nations, Rome, Italy. |
| [26] | Food and Agriculture Organization (FAO) (2018) Food and agriculture data. Available at: http://www.fao.org/faostat/en/#data/QC. (Accessed 14 January 2018). |
| [27] | Food, C. (2020) ‘of wag lasta, north eastern Ethiopia Evaluation of sorghum (Sorghum bicolor (L.) Moench) variety performance in the lowlands area of wag lasta, north eastern Ethiopia’. doi: 10.1080/23311932.2020.1778603. |
| [28] | Gauch H. G. and Zobel. R. W. (1992). Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science 30: 493–500. |
| [29] | Gebeyehu Geremew, Asfaw Adugna, Taye Tadesse, Tesefaye Tesso, Ketema Belete, Hailemichael H. (2004). Development of sorghum varieties and hybrids for dry land areas of Ethiopia. Uga J Agri Sci., 9: 594-605. |
| [30] | Georgis K, Abebe A, Negasi A et al. (1990). Cereal-legume intercropping research in Ethiopia. In: Waddington SR, Palmer AFE, Edje OT (eds) Research methods for cereal legume intercropping. Proc. Workshop on Research Methods for Cereal/Legume Intercropping in Eastern and Southern Africa. CIMMYT. P167-175. |
| [31] | Harlan, J. R. & J. M. J. de Wet, (1972). A simplified classification of sorghum. Crop Science 12: 172–176. |
| [32] | Horn L., Shimelis H., Sarsu F., Mwadzingeni L., and Laing M. D. 2017. Genotype-by- environment interaction for grain yield among novel cowpea (Vigna unguiculata L.) selections derived by gamma irradiation. The Crop Journal, 6 (3): 306–313. |
| [33] | Kandus, M., Almorza D., Ronceros R. B. and Salerno J. C. (2010). Statistical models for evaluating the genotype-environment interaction in maize (Zea mays L.). International Journal of Experimental Botany, 79: 39-46. |
| [34] | Kebede, Y. (1991). The role of Ethiopian sorghum germ- plasm resources in the national breeding pro- gramme. In J. M. Engels, J. G. Hawkes, & M. Worede (Eds.), Plant genetic resources of Ethiopia (pp. 315– 322). Cambridge University Press. |
| [35] | Kimber CT, Dahlberg JA, Kresovich S. (2013). The Gene Pool of Sorghum bicolor and Its Improvement. In: Paterson A. H. (ed.) Genomics of the Saccharinae, Plant Genetics and Genomics: Crops and Model. 23-41, Springer Science, Media New York. |
| [36] | Kimber, C. T. (2000). Classification origin of domesticated sorghum and its early diffusion to India and China. p. 3–98. In: Smith W. C. and Frederiksen, R. A. (Eds.). Sorghum Origin, History, Technology and Production. Wiley & Sons, New York. |
| [37] | Kinfe H. Yield performance and adoption of released sorghum varieties in ethiopia (2018) Edelweiss Appli Sci Tech 2: 46-55. |
| [38] | Kumar, A. A, Reddy, B. V. S. Sharma, H. C. Hash, C. T. Rao, P. S. Ramaiah, B. and Reddy, P. S. (2011). Recent Advances in Sorghum Genetic Enhancement Research at ICRISAT. American Journal of Plant Sciences, 2: 589-600. |
| [39] | Lin, C. S., Bains, M. R., and Lefkovitch, L. P. (1986). Stability Analysis: Where Do We Stand? Crop Science 26: 894-900. |
| [40] | Linnemann, A. R., Westphal, E. and Wessel, M. (1995). Photoperiod regulation of development and growth in bambara groundnut (Vignasubterranea). Field Crops Research 40 (1): 39-47. |
| [41] | Makanda I. (2009). Combining ability and heterosis for stem sugar traits and grain yield components in dual purpose sorghum (Sorghum bicolor [L.] Moench) germplasm. PhD Thesis, University of Kwazul Natal, South Africa. |
| [42] | Marcio, B., de Souza J. C., Von P. R. G., de Oliveira R. L., and Valente Paes J. M. (2009). Yield stability and adaptability of maize hybrids based on GGE biplot analysis characteristics. Crop Breeding and Applied Biotechnology, 9: 219-228. |
| [43] | Massaoudou, H. et al. (2018) ‘Identification of stable genotypes and genotype by environment interaction for grain yield in sorghum (Sorghum bicolor L. Moench)’, (November). doi: 10.1017/S1479262118000382. |
| [44] | Mekbib, F. (2006). Farmer and formal breeding of sorghum (Sorghum bicolor (L.) Moench) and the implications for integrated plant breeding. Euphytica, 152 (2), 163–176. https://doi.org/10.1007/s10681-006-9191-7 |
| [45] | MoANR (Ministry of Agriculture and Natural Resource). 2016. Plant and Animal Health Regulatory Directorate. Crop variety register issue No. 20. Addis Ababa, Ethiopia. |
| [46] | Muir, W., Nyquist, W. E. and Xu, S. (1992). Alternative partitioning of the genotype by environment interaction. Theor. Appl. Genetics 84: 193-200. |
| [47] | Mutegi, E., Signard, F., Semagn, K., Deu, M., Muraya, M., Kanyenji, B., De Villiers, S., Kiambi, D., Herselman, L., &Labuschagne, M. (2011). Genetic structure and relationship within and between cultivated and wild sorghum (Sorghum bicolor (L.) Moench) in Kenya as revealed by microsatellite markers. Theoretical and Applied Genetics, 122 (5), 989–1004. https://doi.org/10.1007/s00122-010-1504-5 |
| [48] | Nida, H., Seyoum, A., &Gebreyohannes, A. (2016). Evaluation of yield performance of intermediate altitude sorghum (Sorghum bicolor (L.) Moench) genotypes using genotype x environment interaction analysis and GGE biplot in Ethiopia. International Journal of Trends in Research and Development, 3 (2), 2394–9333. http://www.ijtrd.com/papers/IJTRD3499.pdf |
| [49] | Ofori, I. (1996). Correlation and Path coefficient analysis of components of seed yield in Bambara groundnut (VignaSubterranea). Euphytica 92: 103-107. |
| [50] | Olweny, C. (2015). Studies on genetic diversity, genotype by environment interaction, combining ability and farmers’ perception on sweet sorghum (Sorghum bicolor [L.] Moench). PhD Thesis. Makerere University, Uganda. |
| [51] | Pham, H. N. and Kang, M. S. (1988). Interrelationships among and repeatability of several stability statistics estimated from international maize trials. Crop Science 28: 925-928. |
| [52] | Prasad, P. V. V. and Staggenborg, S. A. (2010). Growth and production of sorghum and millets. In soils, plant growth and crop production –Volume II. In: Encyclopedia of Life Support Systems, Eolss Publishers, and Oxford, UK. http:// www.eolss.net. Access data. |
| [53] | Purchase, J. L, (1997). Parametric analysis to describe genotype by environment interaction and stability in winter wheat. PhD. thesis. Department of Agronomy, Faculty of Agriculture, University of the Orange Free State, Bloemfonten, South Africa. |
| [54] | Rao P. S., Reddy P. S., Rathore A., Reddy B. V. S. and Panwar S. (2011). Application GGE biplot and AMMI model to evaluate sweet sorghum (Sorghum bicolor) hybrids for genotype × environment interaction and seasonal adaptation. Indian Journal of Agricultural Sciences, 81 (5): 438–444. |
| [55] | Reddy VG, Rao NK, Reddy BS, Prasada Rao KE. (2002). Geographic distribution of Basic and Intermediate races in the World Collection of Sorghum Germplasm. Int Sorghum Millets Newsl 43: 15-16. |
| [56] | Rono, J. K., Cheruiyot E. K., and Othira J. O. (2016). Adaptability and Stability Study of Selected Sweet Sorghum Genotypes for Ethanol Production under Different Environments Using AMMI Analysis and GGE Biplots. The Scientific World Journal, 14: 1-14. https://doi.org/10.1155/2016/4060857. |
| [57] | Seyoum, A., Semahegn, Z. and Gebreyohannes, A. (2019) ‘nal of Agricultural Science and Research AMMI and GGE bipolt analysis of Genotype x Environ- ment Interaction and Yield Stability of Pearl Millet Geno- types [Pennisetum glaucum (L.) R. Br.] in Moisture Stressed Areas of Ethiopia’, 7 (May). doi: 10.14662/ARJASR2019.038. |
| [58] | Sharma, R. C., Smith E. L., and Mc New R. W. (1987). Stability of harvest index and grain yield in winter wheat. Crop Science, 27: 104-108. |
| [59] | Showemimo, F. A. (2007). Grain yield response and stability indices in sorghum (Sorghum bicolor (L.) Moench). Commununications in Biometry and Crop Science, 2 (1), 68–73. |
| [60] | Shukla, G. K. (1972). Some statistical aspects of partitioning genotype-environmental components of variability. Heredity, 29: 237-24. |
| [61] | Stemler, A. B., Harlan, J. R., and Dewet, J. M. (1975). Evolutionary history of cultivated sorghum [Sorghum bicolour (L.) Moench] of Ethiopia. Bulletin of the Torrey Botanical Club 325-333. |
| [62] | Taylor, J. R. N. (2003). Overview importance of sorghum in Africa [Online]. Available from: http: WWw.sciencedirect/science |
| [63] | Tewodros Mulualem and Zelalem Bekeko (2017). Current advances in G x E analysis models and their interpretations, an implication for genotype selection for multiple environments. Crop. Science. (2): 64–72. |
| [64] | Vavilov, N. I. 1951. The origin, variation, immunity and breeding of cultivated plants. p. 366. Translated by Chester K. S. Ronald Press, New York. |
| [65] | Wilhelm, W. W., Johnson, J. M. F. Hatfield, J. L., Voorhees W. B. and Linden, D. R (2004). Crop and soil productivity response to corn residue removal. Agron. J. 96: 1-17. |
| [66] | Worede, F. et al. (2020) ‘areas of Northeast Ethiopia Yield stability and adaptability of lowland sorghum (Sorghum bicolor (L.) Moench) in moisture-deficit areas of Northeast Ethiopia’, 1932. doi: 10.1080/23311932.2020.1736865. |
| [67] | Wricke G. (1962). On a method of understanding the biological diversity in field Research. Z. Pfl. Zücht 47: 92–146. |
| [68] | Yan, W. and Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science, 86: 623–645. |
| [69] | Yan, W., Hunt, L. A., Sheng Q., and Szlavnics Z. (2000). Cultivar evaluation and mega- environment investigation based on the GGE biplot. Crop Science 40: 597-605. |
| [70] | Yan, W., Kang M. S., Maa B., Woods S., and Cornelius P. L. (2007). GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data. Crop Science, 47: 641- 653. |
| [71] | Yitayeh, Z. S., Mindaye, T. T. and Bisetegn, K. B. (2019) ‘AMMI and GGE Analysis of GxE and Yield Stability of Early Maturing Sorghum [Sorghum bicolor (L.) Moench] Genotypes in Dry Lowland Areas of Ethiopia’, 5 (1), pp. 1–10. doi: 10.4172/2329-8863.1000425. |
APA Style
Werkissa Yali. (2022). Review on Effect of Genotype x Environment Interaction and Yield Stability Among Sorghum (Sorghum bicolor (L.) Moench.) Genotypes. International Journal of Genetics and Genomics, 10(1), 12-20. https://doi.org/10.11648/j.ijgg.20221001.13
ACS Style
Werkissa Yali. Review on Effect of Genotype x Environment Interaction and Yield Stability Among Sorghum (Sorghum bicolor (L.) Moench.) Genotypes. Int. J. Genet. Genomics 2022, 10(1), 12-20. doi: 10.11648/j.ijgg.20221001.13
AMA Style
Werkissa Yali. Review on Effect of Genotype x Environment Interaction and Yield Stability Among Sorghum (Sorghum bicolor (L.) Moench.) Genotypes. Int J Genet Genomics. 2022;10(1):12-20. doi: 10.11648/j.ijgg.20221001.13
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Download@article{10.11648/j.ijgg.20221001.13,
author = {Werkissa Yali},
title = {Review on Effect of Genotype x Environment Interaction and Yield Stability Among Sorghum (Sorghum bicolor (L.) Moench.) Genotypes},
journal = {International Journal of Genetics and Genomics},
volume = {10},
number = {1},
pages = {12-20},
doi = {10.11648/j.ijgg.20221001.13},
url = {https://doi.org/10.11648/j.ijgg.20221001.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20221001.13},
abstract = {Sorghum is a prominent cereal crop, particularly in the world's semi-arid tropics. It is grown in over 105 countries across Africa, Asia, Oceania, and the Americas on 40 million hectares. Sorghum is an important indigenous food crop, second only to teff in terms of production of injera (leavened native flat bread). The majority of sorghum varieties are recommended for various agro ecological zones (AEZs), and no single variety is appropriate for all of Ethiopia's circumstances (GxE). GxE affects grain yield, nutritional quality and content, as well as physicochemical and malting quality. The interaction of an organism's genetic composition with its environment results in phenotype, which is a physical trait. The presence of GEI complicates the selection of yield and yield-related traits. GEI can inhibit progress in the selection process and is a key driver of genotype-to-genotype yield stability differences. Plant breeders should investigate GEI in order to better understand crop development in relation to biophysical conditions. In different agro-ecologies, locales, and seasons, genotypes will respond differently. Agronomic/dynamic stability refers to a genotype's ability to adapt to changes in the environment. Breeders should encourage the development of varieties/hybrids that can adapt to a wide range of environments. Crossover and non-crossover gene x environment interactions (GEI) are the two forms of GEI. When there is a disparity in genotypic performance between individuals. Statistical analysis of yield studies can help agronomists, breeders, and other agricultural specialists make faster progress. G x E Interaction and Stability Analysis permits genotypes' relative performance and stability for yield and yield-related variables to be assessed. Therefore the objective of this review study is to assess the role of G x E on yield stability of sorghum.},
year = {2022}
}
TY - JOUR T1 - Review on Effect of Genotype x Environment Interaction and Yield Stability Among Sorghum (Sorghum bicolor (L.) Moench.) Genotypes AU - Werkissa Yali Y1 - 2022/01/15 PY - 2022 N1 - https://doi.org/10.11648/j.ijgg.20221001.13 DO - 10.11648/j.ijgg.20221001.13 T2 - International Journal of Genetics and Genomics JF - International Journal of Genetics and Genomics JO - International Journal of Genetics and Genomics SP - 12 EP - 20 PB - Science Publishing Group SN - 2376-7359 UR - https://doi.org/10.11648/j.ijgg.20221001.13 AB - Sorghum is a prominent cereal crop, particularly in the world's semi-arid tropics. It is grown in over 105 countries across Africa, Asia, Oceania, and the Americas on 40 million hectares. Sorghum is an important indigenous food crop, second only to teff in terms of production of injera (leavened native flat bread). The majority of sorghum varieties are recommended for various agro ecological zones (AEZs), and no single variety is appropriate for all of Ethiopia's circumstances (GxE). GxE affects grain yield, nutritional quality and content, as well as physicochemical and malting quality. The interaction of an organism's genetic composition with its environment results in phenotype, which is a physical trait. The presence of GEI complicates the selection of yield and yield-related traits. GEI can inhibit progress in the selection process and is a key driver of genotype-to-genotype yield stability differences. Plant breeders should investigate GEI in order to better understand crop development in relation to biophysical conditions. In different agro-ecologies, locales, and seasons, genotypes will respond differently. Agronomic/dynamic stability refers to a genotype's ability to adapt to changes in the environment. Breeders should encourage the development of varieties/hybrids that can adapt to a wide range of environments. Crossover and non-crossover gene x environment interactions (GEI) are the two forms of GEI. When there is a disparity in genotypic performance between individuals. Statistical analysis of yield studies can help agronomists, breeders, and other agricultural specialists make faster progress. G x E Interaction and Stability Analysis permits genotypes' relative performance and stability for yield and yield-related variables to be assessed. Therefore the objective of this review study is to assess the role of G x E on yield stability of sorghum. VL - 10 IS - 1 ER -
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