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논문 기본 정보

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학술저널
저자정보
M. Ruhul Quddus (Bangladesh Rice Research Institute (BRRI) Gazipur 1701 Bangladesh) M. Akhlasur Rahman (Bangladesh Rice Research Institute (BRRI) Gazipur 1701 Bangladesh) Nusrat Jahan (Bangladesh Rice Research Institute (BRRI) Gazipur 1701 Bangladesh) Sanjoy K. Debsharma (Bangladesh Rice Research Institute (BRRI) Gazipur 1701 Bangladesh) Ribed F. Disha (Bangladesh Rice Research Institute (BRRI) Gazipur 1701 Bangladesh) M. Moniruzzaman Hasan (Advanced Seed Research & Biotech Centre (ASRBC) Dhaka 1212 Bangladesh) Tamal L. Aditya (Bangladesh Rice Research Institute (BRRI) Gazipur 1701 Bangladesh) KM Iftekharuddaula (Bangladesh Rice Research Institute (BRRI) Gazipur 1701 Bangladesh) Bertrand C.Y. Collard (International Rice Research Institute Los Baños Laguna 4031 Philippines)
저널정보
한국육종학회 Plant Breeding and Biotechnology Plant Breeding and Biotechnology Vol.7 No.3
발행연도
2019.1
수록면
257 - 271 (15page)

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In salinity affected areas, variation in salinity level is the major cause of yield fluctuations in rice during the dry season (boro season). To sustain food security in Bangladesh, plant breeders need to develop new rice varieties which are higher yielding, salinity tolerant and stable across different environments. We evaluated the yield performance and stability of 51 rice elite genotypes including two salinity tolerant rice varieties (BRRI dhan67 and BINA dhan-10) and the dominant boro rice variety (BRRI dhan28) in three locations, including a salinity “hotspot”. Best linear unbiased predictions (BLUPs) were used to identify superior genotypes from multi-environment trials. Selection from a large set of candidates is required for evaluation and recommending a new variety for release. Estimated breeding values (EBVs) were used to select parents. Six parents with high EBVs (BR8982-5, IR 87870-6-1-1-1-1-B; BR8943-B-1-2-7, BR8940-B-17-4-7, A69-1 and BR8943-B-5-5-14) would be useful as parents to develop new breeding populations. To evaluate yield performance and stability across environments, we used additive main effects and multiplicative interaction (AMMI) model using a randomized complete block design with two replications. Genotype × environmental analysis was performed using GGE biplot analysis. Based on yield performance and stability, BR8982-5, IR 87870-6-1-1-1-1-B, BR8943-B-1-2-7, BR8940-B-17-4-7, A69-1 and BR8943-B-5-5-14 were promising across the tested environments, as they showed yield advantages over check varieties. The results in this study will be useful for selecting the elite lines suitable for salinity affected areas and parents for rapid breeding of salinity tolerance.
#Genetic gain #AMMI Model #Genotype × environment (GE) analysis #Stability #Best Linear Unbiased Prediction (BLUP) #Estimated Breeding Value (EBV)

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참고문헌 (46)

참고문헌 신청
Abeya T / 2008 / Regression and additive main effects and multiple interactions (AMMI) in common bean (Phaseolus vulgaris L.) genotypes / Ethiop. J. Biol. Sci 7:45~53 google schola Al-Naggar AMM / 2018 / Yield adaptability and stability of grain sorghum genotypes across different environments in Egypt using AMMI and GGE-biplot models / Annu. Res. Rev. Biol 23:1~16 google schola Asnake W / 2013 / Additive main effects and multiplicative interactions model (AMMI) and genotype main effect and genotype by environment interaction (GGE) biplot analysis of multienvironmental wheat variety trials / Afr. J. Agric. Res 8:1033~1040 google schola Atlin GN / 2017 / Rapid breeding and varietal replacement are critical to adaptation of cropping systems in the developing world to climate change / Glob. Food Sec 12:31~37 google schola Bates D / 2014 / Pedigree-based mixed-effects models Version 0.3-3 google schola

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