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Estimating Pedigree-Based Breeding Values and Stability Parameters of Elite Rice Breeding Lines for Yield under Salt Stress during the Boro Season in Bangladesh
Plant Breed. Biotech. 2019;7:257-271
Published online September 1, 2019
© 2019 Korean Society of Breeding Science.

M. Ruhul Quddus1†, M. Akhlasur Rahman1†*, Nusrat Jahan1, Sanjoy K. Debsharma1, Ribed F. Disha1, M. Moniruzzaman Hasan2, Tamal L. Aditya1, KM Iftekharuddaula1, Bertrand C.Y. Collard3,4

1Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh,
2Advanced Seed Research & Biotech Centre (ASRBC), Dhaka 1212, Bangladesh
3International Rice Research Institute, Los Baños, Laguna 4031, Philippines
4NSW Department of Primary Industries, Yanco NSW 2703, Australia
Corresponding author: *M. Akhlasur Rahman, akhlas08@gmail.com, Tel: +880-1758479150, Fax: +880-249272000
These authors contributed equally.
Received May 12, 2019; Revised August 6, 2019; Accepted August 9, 2019.
This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
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.
Keywords : Genetic gain, AMMI Model, Genotype × environment (GE) analysis, Stability, Best Linear Unbiased Prediction (BLUP), Estimated Breeding Value (EBV)


September 2019, 7 (3)
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