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ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE

Year 2023, Volume: 28 Issue: 2, 213 - 220, 24.12.2023

Aziz Ur Rahman Faiz Ur Rehman Syed Mehr Ali Shah Muhammad Ali Shah Syed Majid Rasheed

https://doi.org/10.17557/tjfc.1325433

Abstract

The experiment was performed to assess the performance of 87 rice recombinant inbred lines (RILs), identify
the productive environments and quantify genotype × environment interaction (GEI) effects on yield and yield
related traits across four locations of the Khyber Pakhtunkhwa Province in Pakistan between 2021 and 2022.
The pooled ANOVA showed significant differences of GEI for all traits. Across the studied environments, RIL
AUP-3 took minimum days to heading (139) and produced the highest grain yield (4.1 t ha-1). AUP-3 and AUP30 displayed the highest kernel number in panicle of 214 and 226, respectively. Based on AMMI1 and AMMI2
biplots, RIL AUP-3 was unanimously declared as the most stable and the highest yielding genotype. AMMI
biplot analysis cumulatively explained 55.3%, 46.3% and 52.1% of total variation due to GEI for days to
maturity, grains panicle-1 and grain yield, respectively. The AMMI biplot analysis confirmed the differential
response of genotypes across environments, suggesting environment-based expression of genes. The AMMI
biplot also manifested AUP-3 and AUP-30 as ideal genotypes for grains panicle-1 and grain yield, respectively.
The Peshawar (E-1 and E-5) and Mingora (E-2) were the most discriminating and representative environment
for grains panicle-1 and grain yield. Application of various stability models in this study identified AUP-3 and
AUP-30 as the most stable and widely adapted genotype for grain yield and its components. The AMMI analysis
identified genotypes both for specific and wide adaptation. Based on stability and yield performance, said
genotypes were identified with superior performance than check cultivars. Therefore, recommended for
commercialization. Also environments were clustered regardless of their geographical location, which revealed
unpredictable nature of agro-climatic conditions across four tested locations.

Keywords

Biplot technique genotype by environment interaction multi-environments rice inbreed lines yield related traits.

Supporting Institution

University of Agriculture Peshawar, Pakistan

References

  • Ajmera, S., S.S. Kumar, V. Ravindrababu. 2017. Studies on stability analysis for grain yield and its attributes in rice (Oryza sativa L.) genotypes. Int. J. Pure App. Biosci. 5(4): 892-908.
  • Akcura, M., K. Akan, O. Hocaoglu. 2017. Biplot analysis of leaf rust resistance in pure lines selected from eastern Anatolian bread wheat landraces of Turkey. Turk. J. Field Crops. 22(2): 227-234.
  • Amirjani, M.R. 2011. Effect of salinity stress on growth, sugar content, pigments and enzyme activity of rice. Int. J. Botany 7: 73-81.
  • Bose, L.K., N.P. Jambhulkar, K. Pande, O.N. Singh. 2014. Use of AMMI and other stability statistics in the simultaneous selection of rice genotypes for yield and stability under directseeded conditions. Chilean J. Agric. Res. 74(1): 3-9.
  • Crossa, J., G.H. Gauch, R.W. Zobel. 1990. Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Sci. 30: 493-500.
  • Eberhart, S.A., W.A. Russell. 1966. Stability parameter for comparing varieties. Crop Sci. 6: 36-40.
  • GEA-R. 2015. Genotype x Environment Analysis with R for Windows, Version 4.0" http://hdl.handle.net/11529/10203 International Maize and Wheat Improvement Center.
  • Gauch, H.G., H.P. Piepho, P. Annicchiarico. 2008. Statistical analysis of yield trials by AMMI and GGE; Further considerations. Crop Sci. 48: 866-889.
  • Islam, M.R., M. Anisuzzaman, H. Khatun, N. Sharma, M.Z. Islam, A. Akter, P.S. Biswas. 2014. AMMI analysis of yield performance and stability of rice genotypes across different haor areas. Eco-friendly Agric. J. 7(02): 20-24.
  • Kang, M.S. 1993. Using genotype-by environment interaction for crop cultivar development. Adv. Agron. 62: 199–253.
  • Kulsum, M.U., M.J. Hasan, A. Akter, H. Rahman, P. Biswas. 2013. Genotype-environment interaction and stability analysis in hybrid rice an application of additive main effects and multiplicative interaction. Bangladesh J. Bot. 42(1): 73- 81.
  • Luguterh, A., J. Dioggban. 2016. Yield stability and genotype by environment interaction of fifteen rice (Oryza Sativa L.) genotypes evaluated under rainfed and irrigated conditions in Northern Ghana. Proc. Intl. Conf. Indust. Engin. Opert. Manag. 940-947.
  • Misra, R.C., S. Das, M.C. Patnaik. 2009. AMMI model analysis of stability and adaptability of late duration finger millet (Eleusine coracana) genotypes. World App. Sci. J. 6 (12): 1650-1654.
  • Satoto, I.A. Rumanti, Y. Widyastuti. 2016. Yield stability of new hybrid rice across locations. Agrivita 38(1): 33-39.
  • Shukla, G. K. 1972. Some statistical aspects of portioning genotype × environmental components of variability. Heredity 29: 237-245.
  • Tai, G.C. 1971. Genotypic stability analysis and its application to potato regional trials. Crop Sci. 11: 184-190.
  • Unan, R. 2022. Biplot analysis of genotype × environment interactions of monogenic lines against rice blast. Fresenius Environmental Bulletin. 31(6): 5875-5884
  • Yan, W., L.A. Hunt. 2001. Interpretation of genotype by environment interaction for winter wheat yield in Ontario. Crop Sci. 41: 19-25.
  • Yan, W., N.A. Tinker. 2007. Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86: 623-645.
  • Purchase, J.L., H. Hatting, C.S. Deventer. 2000. Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Π. Stability analysis of yield performance. South African J. Plant Soil 17: 101-107.
  • Zobel, R.W., M.J. Wright, H.G. Gauch. 1988. Statistical analysis of a yield trial. Agron. J. 80: 388-393.

Year 2023, Volume: 28 Issue: 2, 213 - 220, 24.12.2023

Aziz Ur Rahman Faiz Ur Rehman Syed Mehr Ali Shah Muhammad Ali Shah Syed Majid Rasheed

https://doi.org/10.17557/tjfc.1325433

Abstract

References

  • Ajmera, S., S.S. Kumar, V. Ravindrababu. 2017. Studies on stability analysis for grain yield and its attributes in rice (Oryza sativa L.) genotypes. Int. J. Pure App. Biosci. 5(4): 892-908.
  • Akcura, M., K. Akan, O. Hocaoglu. 2017. Biplot analysis of leaf rust resistance in pure lines selected from eastern Anatolian bread wheat landraces of Turkey. Turk. J. Field Crops. 22(2): 227-234.
  • Amirjani, M.R. 2011. Effect of salinity stress on growth, sugar content, pigments and enzyme activity of rice. Int. J. Botany 7: 73-81.
  • Bose, L.K., N.P. Jambhulkar, K. Pande, O.N. Singh. 2014. Use of AMMI and other stability statistics in the simultaneous selection of rice genotypes for yield and stability under directseeded conditions. Chilean J. Agric. Res. 74(1): 3-9.
  • Crossa, J., G.H. Gauch, R.W. Zobel. 1990. Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Sci. 30: 493-500.
  • Eberhart, S.A., W.A. Russell. 1966. Stability parameter for comparing varieties. Crop Sci. 6: 36-40.
  • GEA-R. 2015. Genotype x Environment Analysis with R for Windows, Version 4.0" http://hdl.handle.net/11529/10203 International Maize and Wheat Improvement Center.
  • Gauch, H.G., H.P. Piepho, P. Annicchiarico. 2008. Statistical analysis of yield trials by AMMI and GGE; Further considerations. Crop Sci. 48: 866-889.
  • Islam, M.R., M. Anisuzzaman, H. Khatun, N. Sharma, M.Z. Islam, A. Akter, P.S. Biswas. 2014. AMMI analysis of yield performance and stability of rice genotypes across different haor areas. Eco-friendly Agric. J. 7(02): 20-24.
  • Kang, M.S. 1993. Using genotype-by environment interaction for crop cultivar development. Adv. Agron. 62: 199–253.
  • Kulsum, M.U., M.J. Hasan, A. Akter, H. Rahman, P. Biswas. 2013. Genotype-environment interaction and stability analysis in hybrid rice an application of additive main effects and multiplicative interaction. Bangladesh J. Bot. 42(1): 73- 81.
  • Luguterh, A., J. Dioggban. 2016. Yield stability and genotype by environment interaction of fifteen rice (Oryza Sativa L.) genotypes evaluated under rainfed and irrigated conditions in Northern Ghana. Proc. Intl. Conf. Indust. Engin. Opert. Manag. 940-947.
  • Misra, R.C., S. Das, M.C. Patnaik. 2009. AMMI model analysis of stability and adaptability of late duration finger millet (Eleusine coracana) genotypes. World App. Sci. J. 6 (12): 1650-1654.
  • Satoto, I.A. Rumanti, Y. Widyastuti. 2016. Yield stability of new hybrid rice across locations. Agrivita 38(1): 33-39.
  • Shukla, G. K. 1972. Some statistical aspects of portioning genotype × environmental components of variability. Heredity 29: 237-245.
  • Tai, G.C. 1971. Genotypic stability analysis and its application to potato regional trials. Crop Sci. 11: 184-190.
  • Unan, R. 2022. Biplot analysis of genotype × environment interactions of monogenic lines against rice blast. Fresenius Environmental Bulletin. 31(6): 5875-5884
  • Yan, W., L.A. Hunt. 2001. Interpretation of genotype by environment interaction for winter wheat yield in Ontario. Crop Sci. 41: 19-25.
  • Yan, W., N.A. Tinker. 2007. Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86: 623-645.
  • Purchase, J.L., H. Hatting, C.S. Deventer. 2000. Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: Π. Stability analysis of yield performance. South African J. Plant Soil 17: 101-107.
  • Zobel, R.W., M.J. Wright, H.G. Gauch. 1988. Statistical analysis of a yield trial. Agron. J. 80: 388-393.
There are 21 citations in total.

Details

Primary Language English
Subjects Crop and Pasture Breeding
Journal Section Articles
Authors

Aziz Ur Rahman This is me 0009-0005-6565-1423

Faiz Ur Rehman 0009-0003-1545-7476

Syed Mehr Ali Shah This is me 0009-0009-9176-5722

Muhammad Ali Shah This is me 0000-0003-3388-1839

Syed Majid Rasheed This is me 0000-0002-9619-617X

Publication Date December 24, 2023
Published in Issue Year 2023 Volume: 28 Issue: 2

Cite

APA Rahman, A. U., Rehman, F. U., Ali Shah, S. M., Ali Shah, M., et al. (2023). ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE. Turkish Journal Of Field Crops, 28(2), 213-220. https://doi.org/10.17557/tjfc.1325433
AMA Rahman AU, Rehman FU, Ali Shah SM, Ali Shah M, Rasheed SM. ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE. TJFC. December 2023;28(2):213-220. doi:10.17557/tjfc.1325433
Chicago Rahman, Aziz Ur, Faiz Ur Rehman, Syed Mehr Ali Shah, Muhammad Ali Shah, and Syed Majid Rasheed. “ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE”. Turkish Journal Of Field Crops 28, no. 2 (December 2023): 213-20. https://doi.org/10.17557/tjfc.1325433.
EndNote Rahman AU, Rehman FU, Ali Shah SM, Ali Shah M, Rasheed SM (December 1, 2023) ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE. Turkish Journal Of Field Crops 28 2 213–220.
IEEE A. U. Rahman, F. U. Rehman, S. M. Ali Shah, M. Ali Shah, and S. M. Rasheed, “ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE”, TJFC, vol. 28, no. 2, pp. 213–220, 2023, doi: 10.17557/tjfc.1325433.
ISNAD Rahman, Aziz Ur et al. “ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE”. Turkish Journal Of Field Crops 28/2 (December 2023), 213-220. https://doi.org/10.17557/tjfc.1325433.
JAMA Rahman AU, Rehman FU, Ali Shah SM, Ali Shah M, Rasheed SM. ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE. TJFC. 2023;28:213–220.
MLA Rahman, Aziz Ur et al. “ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE”. Turkish Journal Of Field Crops, vol. 28, no. 2, 2023, pp. 213-20, doi:10.17557/tjfc.1325433.
Vancouver Rahman AU, Rehman FU, Ali Shah SM, Ali Shah M, Rasheed SM. ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE. TJFC. 2023;28(2):213-20.
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