Genotype by Environmental Interaction on Grain Quality of Bread Wheat (<i>Triticum aestivum </i>L.) Genotypes at Southern Ethiopia

Aliyi Kedir; Tesfaye Letta

doi:doi:10.11648/j.ijgg.20221001.12

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Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia

Aliyi Kedir, Tesfaye Letta

Published in International Journal of Genetics and Genomics (Volume 10, Issue 1)

Received: 13 December 2021 Accepted: 5 January 2022 Published: 12 January 2022

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Abstract

Information on the nature and magnitude of the genotype by environment interaction that affects performance of genotypes is essential to enhance the quality improvement of wheat. This study was conducted at five locations in southern Ethiopia using 4 replications of randomized complete block design to evaluate the nature and magnitude of genotype by environment interaction and its effect on grain quality of bread wheat genotypes. The objective of this study was to determine genotype x environment interaction (GEI) in wheat production in southern Ethiopia for some grain quality traits (grain protein content (GPC), grain gluten content (GLTN), grain zeleny index (LI), TKW and HLW). In this study twenty genotypes at five locations were conducted. Combined analysis of variance showed highly significant differences (P < 0.001) among environments, genotypes and their interactions in all quality traits included in this study. The significant GEI indicated that performance of the genotypes in quality traits was not consistent over environments; some genotypes performed well at some locations but poorly at other locations. The GEI (40.20%), the genotype (29.89%) and the environment (14.55%) made contribution to total treatment SS of HLW in which major variation is due to genotype x environment interaction for this trait. For GPC, GEI, environment and genotype made a contribution of 34.61%, 17.32% and 13.59% of variation respectively. For ZI, environment (51.10%), GEI (18.84%) and genotype (11.24%) contribution was observed. For this quality trait, high variation is made by environment. For GLTN, environment (33.31%), GEI (28.14%) and genotype (14.10%) contribution was made. In this quality trait, high variation is contributed due to environment as well and less contribution is made due to genotypes. Unsimilar proportional contribution from G, E and GEI was observed in TKW which was 40.32%, 26.35% and 12.72% for GEI, G and E respectively. Almost similar protein content was recorded at all tested locations numerically with the lowest (12.64%) at Bore and highest (13.81%) at A/Sorra. The highest TKW (60.33) from genotype Hidase, Zeleny Index (69.36ml) from Wane, grain protein content (14.38%) and gluten content (33.24%) from ETBW8407, and HLW (83.55) from Shorima was obtained. The lowest TKW (46.34) from old variety Kubsa, Zeleny Index (56.99ml) from Alidoro, grain protein conten (12.34%) from PBW-34, gluten content (27.00%) from PBW-34 again and the lowest HLW (74.83) from Kubsa was obtained. The variations observed to these quality traits among genotype across location, is due to year-to-year variation in factors such as rainfall, temperature and disease of the growing season.

Published in	International Journal of Genetics and Genomics (Volume 10, Issue 1)
DOI	10.11648/j.ijgg.20221001.12
Page(s)	7-11
Creative Commons	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.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Bread Wheat, Environment, Grain Quality, GEI, Guji Zone

References

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[2]	Bern, C., & T. J. Brumm. 2009. Grain Test Weight Deception. Iowa State University-University Extension. PMR 1005, October 2009.
[3]	Bilgin O, Korkut KZ, Baser I, Daglioglu O, Ozturk I, et al. Variation and heritability for some semolina characteristics and grain yield relations in durum wheat (Triticum durum Desf). World J Agric Sci. 2010, 6 (3): 301308.
[4]	Blackman, J. A. & Payne, P. I. 1987 Grain quality. Wheat breeding and its scientific basis Lupton, F. G. H. (ed) Great Britain, 455-485.
[5]	Drezner G, Dvojkovic K, Horvat D, Novoselovic D, Lalic A. Environmental impacts on wheat agronomic and quality traits. Cereal Res Comm. 2007, 35: 357-360.
[6]	Frederiksson. H., Salomon son, L., & Anderson, L., Salomon son. 1998. Effects of protein and starch characteristics on the baking properties of wheat cultivated by different strategies with organic fertilizers and urea. Acta Agric. Scand., Sect. B, Soil and Plant Sci, 8, 49-57.
[7]	Gadisa Alemu & Dugasa Gerenfes 2021. Effect of Genotype by Environment Interactions on Quality Traits of Bread Wheat in Ethiopia. Asian Journal of Plant Science and Research, 2021, 11 (1): 1-9.
[8]	Grausgruber. H., Oberforster. M, Werteker. M, Ruckenbauer. J. & Vollmann. J. 2000. Stability of quality traits in Austrian-grown winter wheat's. Field Crop Research. 66, 257-267.
[9]	Kaya Y & Akcura M. 2014. Effects of genotype and environment on grain yield and quality traits in bread wheat (T. aestivum L.). Food Sci. Tech. Camp 34 (2): 386-393.
[10]	Lingan Kong, Jisheng Si, Bin Zhang, Bo Feng, Shengdong Li & Fahong Wang. 2013. Environmental modification of wheat grain protein accumulation and associated processing quality: a case study of China. AJCS 7 (2): 173-181.
[11]	Mikulíkova D, Masár S, Horváthová V, Kraic J. Stability of quality traits in winter wheat cultivars. Czech J Food Sci. 2009, 27 (6): 403-417.
[12]	Mut Z, Aydin N, Bayramoglu HO, Ozcan H. Stability of some quality traits in bread wheat (Triticum aestivum) genotypes. J Environ Biol. 2010, 31: 489-495.
[13]	Rharrabti. Y, Villegas. D, Garcia del Moral LF, Aparicio. N, Elhani. S & Royo. C. 2001. Environmental and genetic determination of protein content and grain yield in durum wheat under Mediterranean conditions. Plant Breeding 120: 381-388.
[14]	Salmanowicz. B. P, Surma. M, Adamski. T & Rębarz. M. 2008. Effects of amounts of HMW glutenin subunits determined by capillary electrophoresis on technological properties in wheat doubled haploids. J. Sci. Food Agric. 88: 1716-1725.
[15]	Surma. M, Adamski. T, Banaszak. Z, Kaczmarek. Z, Kuczyńska. H, Majcher. M, Ługowska. B, Obuchowskił. W, Salmanowicz. B & Krystkowiak. K. 2012. Effect of genotype, environment and their interaction on quality parameters of wheat breeding lines of diverse grain hardness. Plant Prod. Sci. 15 (3). 192-203.
[16]	Terman, G. L., Ramig R. E., Dreier A. F. & Olson R. A. 1969. Yield-Protein Relationships in Wheat Grain, as Affected Nitrogen and Water. Agron J, 61, 755-759.
[17]	Williams RM, O’Brien L, Eagles HA, Solah VA, Jayasena V. The influences of genotype, environment, and genotype environment interaction on wheat quality. Aust J Agric Res. 2008, 59: 95-111.
[18]	Zecevic V, Kneževic D, Boškovic J, Madic M. Effect of genotype and environment on wheat quality. Genetika. 2009, 41 (3): 247-253.

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Aliyi Kedir, Tesfaye Letta. (2022). Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia. International Journal of Genetics and Genomics, 10(1), 7-11. https://doi.org/10.11648/j.ijgg.20221001.12

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Aliyi Kedir; Tesfaye Letta. Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia. Int. J. Genet. Genomics 2022, 10(1), 7-11. doi: 10.11648/j.ijgg.20221001.12

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Aliyi Kedir, Tesfaye Letta. Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia. Int J Genet Genomics. 2022;10(1):7-11. doi: 10.11648/j.ijgg.20221001.12

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@article{10.11648/j.ijgg.20221001.12,
  author = {Aliyi Kedir and Tesfaye Letta},
  title = {Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia},
  journal = {International Journal of Genetics and Genomics},
  volume = {10},
  number = {1},
  pages = {7-11},
  doi = {10.11648/j.ijgg.20221001.12},
  url = {https://doi.org/10.11648/j.ijgg.20221001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20221001.12},
  abstract = {Information on the nature and magnitude of the genotype by environment interaction that affects performance of genotypes is essential to enhance the quality improvement of wheat. This study was conducted at five locations in southern Ethiopia using 4 replications of randomized complete block design to evaluate the nature and magnitude of genotype by environment interaction and its effect on grain quality of bread wheat genotypes. The objective of this study was to determine genotype x environment interaction (GEI) in wheat production in southern Ethiopia for some grain quality traits (grain protein content (GPC), grain gluten content (GLTN), grain zeleny index (LI), TKW and HLW). In this study twenty genotypes at five locations were conducted. Combined analysis of variance showed highly significant differences (P < 0.001) among environments, genotypes and their interactions in all quality traits included in this study. The significant GEI indicated that performance of the genotypes in quality traits was not consistent over environments; some genotypes performed well at some locations but poorly at other locations. The GEI (40.20%), the genotype (29.89%) and the environment (14.55%) made contribution to total treatment SS of HLW in which major variation is due to genotype x environment interaction for this trait. For GPC, GEI, environment and genotype made a contribution of 34.61%, 17.32% and 13.59% of variation respectively. For ZI, environment (51.10%), GEI (18.84%) and genotype (11.24%) contribution was observed. For this quality trait, high variation is made by environment. For GLTN, environment (33.31%), GEI (28.14%) and genotype (14.10%) contribution was made. In this quality trait, high variation is contributed due to environment as well and less contribution is made due to genotypes. Unsimilar proportional contribution from G, E and GEI was observed in TKW which was 40.32%, 26.35% and 12.72% for GEI, G and E respectively. Almost similar protein content was recorded at all tested locations numerically with the lowest (12.64%) at Bore and highest (13.81%) at A/Sorra. The highest TKW (60.33) from genotype Hidase, Zeleny Index (69.36ml) from Wane, grain protein content (14.38%) and gluten content (33.24%) from ETBW8407, and HLW (83.55) from Shorima was obtained. The lowest TKW (46.34) from old variety Kubsa, Zeleny Index (56.99ml) from Alidoro, grain protein conten (12.34%) from PBW-34, gluten content (27.00%) from PBW-34 again and the lowest HLW (74.83) from Kubsa was obtained. The variations observed to these quality traits among genotype across location, is due to year-to-year variation in factors such as rainfall, temperature and disease of the growing season.},
 year = {2022}
}

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TY  - JOUR
T1  - Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia
AU  - Aliyi Kedir
AU  - Tesfaye Letta
Y1  - 2022/01/12
PY  - 2022
N1  - https://doi.org/10.11648/j.ijgg.20221001.12
DO  - 10.11648/j.ijgg.20221001.12
T2  - International Journal of Genetics and Genomics
JF  - International Journal of Genetics and Genomics
JO  - International Journal of Genetics and Genomics
SP  - 7
EP  - 11
PB  - Science Publishing Group
SN  - 2376-7359
UR  - https://doi.org/10.11648/j.ijgg.20221001.12
AB  - Information on the nature and magnitude of the genotype by environment interaction that affects performance of genotypes is essential to enhance the quality improvement of wheat. This study was conducted at five locations in southern Ethiopia using 4 replications of randomized complete block design to evaluate the nature and magnitude of genotype by environment interaction and its effect on grain quality of bread wheat genotypes. The objective of this study was to determine genotype x environment interaction (GEI) in wheat production in southern Ethiopia for some grain quality traits (grain protein content (GPC), grain gluten content (GLTN), grain zeleny index (LI), TKW and HLW). In this study twenty genotypes at five locations were conducted. Combined analysis of variance showed highly significant differences (P < 0.001) among environments, genotypes and their interactions in all quality traits included in this study. The significant GEI indicated that performance of the genotypes in quality traits was not consistent over environments; some genotypes performed well at some locations but poorly at other locations. The GEI (40.20%), the genotype (29.89%) and the environment (14.55%) made contribution to total treatment SS of HLW in which major variation is due to genotype x environment interaction for this trait. For GPC, GEI, environment and genotype made a contribution of 34.61%, 17.32% and 13.59% of variation respectively. For ZI, environment (51.10%), GEI (18.84%) and genotype (11.24%) contribution was observed. For this quality trait, high variation is made by environment. For GLTN, environment (33.31%), GEI (28.14%) and genotype (14.10%) contribution was made. In this quality trait, high variation is contributed due to environment as well and less contribution is made due to genotypes. Unsimilar proportional contribution from G, E and GEI was observed in TKW which was 40.32%, 26.35% and 12.72% for GEI, G and E respectively. Almost similar protein content was recorded at all tested locations numerically with the lowest (12.64%) at Bore and highest (13.81%) at A/Sorra. The highest TKW (60.33) from genotype Hidase, Zeleny Index (69.36ml) from Wane, grain protein content (14.38%) and gluten content (33.24%) from ETBW8407, and HLW (83.55) from Shorima was obtained. The lowest TKW (46.34) from old variety Kubsa, Zeleny Index (56.99ml) from Alidoro, grain protein conten (12.34%) from PBW-34, gluten content (27.00%) from PBW-34 again and the lowest HLW (74.83) from Kubsa was obtained. The variations observed to these quality traits among genotype across location, is due to year-to-year variation in factors such as rainfall, temperature and disease of the growing season.
VL  - 10
IS  - 1
ER  -

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Author Information

Aliyi Kedir

Bore Agricultural Research Center, Bore, Ethiopia
Tesfaye Letta

Oromia Agricultural Research Institute, Addis Ababa, Ethiopia

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APA Style

Aliyi Kedir, Tesfaye Letta. (2022). Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia. International Journal of Genetics and Genomics, 10(1), 7-11. https://doi.org/10.11648/j.ijgg.20221001.12

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ACS Style

Aliyi Kedir; Tesfaye Letta. Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia. Int. J. Genet. Genomics 2022, 10(1), 7-11. doi: 10.11648/j.ijgg.20221001.12

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AMA Style

Aliyi Kedir, Tesfaye Letta. Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia. Int J Genet Genomics. 2022;10(1):7-11. doi: 10.11648/j.ijgg.20221001.12

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@article{10.11648/j.ijgg.20221001.12,
  author = {Aliyi Kedir and Tesfaye Letta},
  title = {Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia},
  journal = {International Journal of Genetics and Genomics},
  volume = {10},
  number = {1},
  pages = {7-11},
  doi = {10.11648/j.ijgg.20221001.12},
  url = {https://doi.org/10.11648/j.ijgg.20221001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20221001.12},
  abstract = {Information on the nature and magnitude of the genotype by environment interaction that affects performance of genotypes is essential to enhance the quality improvement of wheat. This study was conducted at five locations in southern Ethiopia using 4 replications of randomized complete block design to evaluate the nature and magnitude of genotype by environment interaction and its effect on grain quality of bread wheat genotypes. The objective of this study was to determine genotype x environment interaction (GEI) in wheat production in southern Ethiopia for some grain quality traits (grain protein content (GPC), grain gluten content (GLTN), grain zeleny index (LI), TKW and HLW). In this study twenty genotypes at five locations were conducted. Combined analysis of variance showed highly significant differences (P < 0.001) among environments, genotypes and their interactions in all quality traits included in this study. The significant GEI indicated that performance of the genotypes in quality traits was not consistent over environments; some genotypes performed well at some locations but poorly at other locations. The GEI (40.20%), the genotype (29.89%) and the environment (14.55%) made contribution to total treatment SS of HLW in which major variation is due to genotype x environment interaction for this trait. For GPC, GEI, environment and genotype made a contribution of 34.61%, 17.32% and 13.59% of variation respectively. For ZI, environment (51.10%), GEI (18.84%) and genotype (11.24%) contribution was observed. For this quality trait, high variation is made by environment. For GLTN, environment (33.31%), GEI (28.14%) and genotype (14.10%) contribution was made. In this quality trait, high variation is contributed due to environment as well and less contribution is made due to genotypes. Unsimilar proportional contribution from G, E and GEI was observed in TKW which was 40.32%, 26.35% and 12.72% for GEI, G and E respectively. Almost similar protein content was recorded at all tested locations numerically with the lowest (12.64%) at Bore and highest (13.81%) at A/Sorra. The highest TKW (60.33) from genotype Hidase, Zeleny Index (69.36ml) from Wane, grain protein content (14.38%) and gluten content (33.24%) from ETBW8407, and HLW (83.55) from Shorima was obtained. The lowest TKW (46.34) from old variety Kubsa, Zeleny Index (56.99ml) from Alidoro, grain protein conten (12.34%) from PBW-34, gluten content (27.00%) from PBW-34 again and the lowest HLW (74.83) from Kubsa was obtained. The variations observed to these quality traits among genotype across location, is due to year-to-year variation in factors such as rainfall, temperature and disease of the growing season.},
 year = {2022}
}

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TY  - JOUR
T1  - Genotype by Environmental Interaction on Grain Quality of Bread Wheat (Triticum aestivum L.) Genotypes at Southern Ethiopia
AU  - Aliyi Kedir
AU  - Tesfaye Letta
Y1  - 2022/01/12
PY  - 2022
N1  - https://doi.org/10.11648/j.ijgg.20221001.12
DO  - 10.11648/j.ijgg.20221001.12
T2  - International Journal of Genetics and Genomics
JF  - International Journal of Genetics and Genomics
JO  - International Journal of Genetics and Genomics
SP  - 7
EP  - 11
PB  - Science Publishing Group
SN  - 2376-7359
UR  - https://doi.org/10.11648/j.ijgg.20221001.12
AB  - Information on the nature and magnitude of the genotype by environment interaction that affects performance of genotypes is essential to enhance the quality improvement of wheat. This study was conducted at five locations in southern Ethiopia using 4 replications of randomized complete block design to evaluate the nature and magnitude of genotype by environment interaction and its effect on grain quality of bread wheat genotypes. The objective of this study was to determine genotype x environment interaction (GEI) in wheat production in southern Ethiopia for some grain quality traits (grain protein content (GPC), grain gluten content (GLTN), grain zeleny index (LI), TKW and HLW). In this study twenty genotypes at five locations were conducted. Combined analysis of variance showed highly significant differences (P < 0.001) among environments, genotypes and their interactions in all quality traits included in this study. The significant GEI indicated that performance of the genotypes in quality traits was not consistent over environments; some genotypes performed well at some locations but poorly at other locations. The GEI (40.20%), the genotype (29.89%) and the environment (14.55%) made contribution to total treatment SS of HLW in which major variation is due to genotype x environment interaction for this trait. For GPC, GEI, environment and genotype made a contribution of 34.61%, 17.32% and 13.59% of variation respectively. For ZI, environment (51.10%), GEI (18.84%) and genotype (11.24%) contribution was observed. For this quality trait, high variation is made by environment. For GLTN, environment (33.31%), GEI (28.14%) and genotype (14.10%) contribution was made. In this quality trait, high variation is contributed due to environment as well and less contribution is made due to genotypes. Unsimilar proportional contribution from G, E and GEI was observed in TKW which was 40.32%, 26.35% and 12.72% for GEI, G and E respectively. Almost similar protein content was recorded at all tested locations numerically with the lowest (12.64%) at Bore and highest (13.81%) at A/Sorra. The highest TKW (60.33) from genotype Hidase, Zeleny Index (69.36ml) from Wane, grain protein content (14.38%) and gluten content (33.24%) from ETBW8407, and HLW (83.55) from Shorima was obtained. The lowest TKW (46.34) from old variety Kubsa, Zeleny Index (56.99ml) from Alidoro, grain protein conten (12.34%) from PBW-34, gluten content (27.00%) from PBW-34 again and the lowest HLW (74.83) from Kubsa was obtained. The variations observed to these quality traits among genotype across location, is due to year-to-year variation in factors such as rainfall, temperature and disease of the growing season.
VL  - 10
IS  - 1
ER  -

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