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Genomics‐assisted breeding for successful development of multiple‐stress‐tolerant, climate‐smart rice for southern and southeastern Asia
The Plant Genome ( IF 4.219 ) Pub Date : 2021-01-12 , DOI: 10.1002/tpg2.20074
Shailesh Yadav 1 , Nitika Sandhu 1, 2 , Shalabh Dixit 1 , Vikas Kumar Singh 3 , Margaret Catolos 1 , Ratna Rani Mazumder 1, 4 , Mohammad Akhlasur Rahman 4 , Arvind Kumar 1, 5
Affiliation  

Rice (Oryza sativa L.) in rainfed marginal environments is prone to multiple abiotic and biotic stresses, which can occur in combination in a single cropping season and adversely affect rice growth and yield. The present study was undertaken to develop high‐yielding, climate‐resilient rice that can provide tolerance to multiple biotic and abiotic stresses. An assembled first‐crossing scheme was employed to transfer 15 quantitative trait loci (QTL) and genes—qDTY1.1, qDTY2.1, qDTY3.1, qDTY12.1 (drought), Sub1 (submergence), Gm4 (gall midge), Pi9, Pita2 (blast), Bph3, Bph17 (brown plant hoppers), Xa4, xa5, xa13, Xa21, and Xa23 (bacterial leaf blight)—from eight different parents using genomics‐assisted breeding. A funnel mating design was employed to assemble all the targeted QTL and genes into a high‐yielding breeding line IR 91648‐B‐1‐B‐3‐1. Gene‐based linked markers were used in each generation from intercrossing to the F6 generation for tracking the presence of desirable alleles of targeted QTL and genes. Single‐plant selections were performed from F2 onwards to select desirable recombinants possessing alleles of interest with suitable phenotypes. Phenotyping of 95 homozygous F6 lines carrying six to 10 QTL and genes was performed for nonstress, reproductive‐stage (RS) drought, blast, bacterial leaf blight (BLB), gall midge (GM), and for grain quality parameters such as chalkiness, amylose content (AC), gelatinization temperature (GT), and head rice recovery (HRR). Finally, 56 F7 homozygous lines were found promising for multiple‐location evaluation for grain yield (GY) and other traits. These multiple‐stress‐tolerant lines with the desired grain quality profiling can be targeted for varietal release in southern and southeastern Asia through national release systems.

中文翻译:

基因组学辅助育种成功地为南亚和东南亚开发了耐多种气候的智能水稻

在雨育边缘环境中的水稻(Oryza sativa L.)容易遭受多种非生物和生物胁迫,这些胁迫可能在单个种植季节结合出现,并对水稻的生长和产量产生不利影响。本研究旨在开发可抵抗多种生物和非生物胁迫的高产,耐气候气候的水稻。采用组装的首次杂交方案来转移15个定量性状基因座(QTL)和基因-qDTY 1.1qDTY 2.1qDTY 3.1qDTY 12.1(干旱),Sub1(淹没),Gm4小蚊),Pi9Pita2(疾风),Bph3Bph17(褐飞虱),Xa4xa5xa13Xa21Xa23(细菌性叶枯病)-来自八个不同的亲本,采用基因组学辅助育种。采用漏斗交配设计将所有目标QTL和基因组装到高产育种系IR 91648‐B‐1‐B‐3-1中。从杂交到F 6代,每一代都使用基于基因的连锁标记来跟踪目标QTL和基因的理想等位基因的存在。从F 2进行单厂选择然后选择具有合适的表型的,具有目的等位基因的所需重组体。对无应激,生殖阶段(RS)干旱,稻瘟病,细菌性叶枯病(BLB),胆gall(GM)以及谷物质量参数(如白垩度)进行了95携带6至10个QTL和基因的纯合子F 6系的表型分析,直链淀粉含量(AC),糊化温度(GT)和糙米回收率(HRR)。最后,发现了56个F 7纯合品系,有望用于谷物产量(GY)和其他性状的多位置评估。这些具有所需谷物品质特征的耐多品系可以通过国家放行系统在南部和东南亚地区进行品种放行。
更新日期:2021-03-15
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