Debsharma Sanjoy K, Rahman Mohammad Akhlasur, Quddus Mohammad Ruhul, Khatun Hasina, Disha Ribed F, Roy Popy R, Ahmed Sharif, El-Sharnouby Mohamed, Iftekharuddaula Khandakar Md, Aloufi Salman, Alzuaibr Fahad M, Alqurashi Mohammed, Sakran Mohamed I, Kabir Mohammad Shahjahan
Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh.
Seed Certification Agency, Ministry of Agriculture, The Peoples Republic of Bangladesh Government, Gazipur 1701, Bangladesh.
Plants (Basel). 2022 Apr 24;11(9):1150. doi: 10.3390/plants11091150.
Soil salinity is a major constraint to rice production in coastal areas around the globe, and modern high-yielding rice cultivars are more sensitive to high salt stress, which limits rice productivity. Traditional breeding programs find it challenging to develop stable salt-tolerant rice cultivars with other stress-tolerant for the saline environment in Bangladesh due to large yield variations caused by excessive salinity fluctuations during the dry () season. We examined trait characterization of 18 advanced breeding lines using SNP genotyping and among them, we found line G6 (BR9621-B-1-2-11) (single breeding line with multiple-stress-tolerant QTL/genes) possessed 9 useful QTLs/genes, and two lines (G4:BR9620-2-7-1-1 and G14: IR 103854-8-3-AJY1) carried 7 QTLs/genes that control the desirable traits. To evaluate yield efficiency and stability of 18 rice breeding lines, two years of field experiment data were analyzed using AMMI (additive main effect and multiplicative interaction) and GGE (Genotype, Genotype Environment) biplot analysis. The AMMI analysis of variance demonstrated significant genotype, environment, and their interaction, accounting for 14.48%, 62.38%, and 19.70% of the total variation, respectively, and revealed that among the genotypes G1, G13, G14, G17, and G18 were shown to some extent promising. Genotype G13 (IR 104002-CMU 28-CMU 1-CMU 3) was the most stable yield based on the AMMI stability value. The GGE biplot analysis indicates 76% of the total variation (PC1 48.5% and PC2 27.5%) which is performed for revealing genotype × environment interactions. In the GGE biplot analysis, genotypes were checked thoroughly in two mega-environments (ME). Genotype G14 (IR103854-8-3-AJY1) was the winning genotype in ME I, whereas G1 (BR9627-1-3-1-10) in ME II. Because of the salinity and stability factors, as well as the highest averages of grain yield, the GGE and AMMI biplot model can explain that G1 and G13 are the best genotypes. These (G1, G6, G13, G14, G17, and G18) improved multiple-stress-tolerant breeding lines with stable grain yield could be included in the variety release system in Bangladesh and be used as elite donor parents for the future breeding program as well as for commercial purposes with sustainable production.
土壤盐渍化是全球沿海地区水稻生产的主要限制因素，现代高产水稻品种对高盐胁迫更为敏感，这限制了水稻的生产力。由于孟加拉国旱季盐分波动过大导致产量差异巨大，传统育种计划在培育适应盐碱环境且兼具其他抗逆性的稳定耐盐水稻品种方面面临挑战。我们利用单核苷酸多态性（SNP）基因分型对18个先进育种系进行了性状鉴定，其中我们发现品系G6（BR9621 - B - 1 - 2 - 11）（具有多抗QTL/基因的单一育种系）拥有9个有用的QTL/基因，两个品系（G4：BR9620 - 2 - 7 - 1 - 1和G14：IR 103854 - 8 - 3 - AJY1）携带7个控制理想性状的QTL/基因。为了评估18个水稻育种系的产量效率和稳定性，我们使用加性主效应和乘积互作（AMMI）以及基因型与基因型 - 环境互作（GGE）双标图分析对两年的田间试验数据进行了分析。AMMI方差分析表明基因型、环境及其互作均具有显著性，分别占总变异的14.48%、62.38%和19.70%，并揭示出在基因型中G1、G13、G14、G17和G18在一定程度上表现出前景。基于AMMI稳定性值，基因型G13（IR 104002 - CMU 28 - CMU 1 - CMU 3）是产量最稳定的。GGE双标图分析表明，用于揭示基因型×环境互作的总变异中有76%（主成分1为48.5%，主成分2为27.5%）。在GGE双标图分析中，在两个大环境（ME）中对基因型进行了全面检查。基因型G14（IR103854 - 8 - 3 - AJY1）在大环境I中是最优基因型，而在大环境II中是G1（BR9627 - 1 - 3 - 1 - 10）。由于盐分和稳定性因素，以及谷物产量的最高平均值，GGE和AMMI双标图模型可以说明G1和G13是最佳基因型。这些（G1、G6、G13、G14、G17和G18）具有稳定谷物产量的改良多抗育种系可以纳入孟加拉国的品种发布系统，并用作未来育种计划的优良供体亲本以及用于可持续生产的商业目的。
