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Additive main effects and multiplicative interaction analyses of yield performance in rice genotypes for general and specific adaptation to salt stress in locations in India
Euphytica ( IF 1.6 ) Pub Date : 2021-01-19 , DOI: 10.1007/s10681-020-02730-7
S. L. Krishnamurthy , P. C. Sharma , D. K. Sharma , Y. P. Singh , V. K. Mishra , D. Burman , B. Maji , S. Mandal , S. K. Sarangi , R. K. Gautam , P. K. Singh , K. K. Manohara , B. C. Marandi , K. Chattopadhyay , G. Padmavathi , P. B. Vanve , K. D. Patil , S. Thirumeni , O. P. Verma , A. H. Khan , S. Tiwari , S. Geetha , R. Gill , V. K. Yadav , B. Roy , M. Prakash , A. Anandan , J. Bonifacio , A. M. Ismail , R. K. Singh

The aim of this study was to identify stable rice genotypes tolerant to a salt stress environment and to identify ideal mega-environments using AMMI (additive main effects and multiplicative interaction) stability model analysis. A total of 13 rice genotypes and three salt tolerance checks were evaluated across 13 salt stress locations (alkaline and saline) for the two kharif seasons of 2014 and 2015. Genotype CSR 36 (CHK3) was found to be the most ideal of those tested. Genotypes CHK2 (CST 27) and IR 87952-1-1-1-2-3-B (G05) were found to be the most stable, with above average yields. The check CSR 36 (CHK3) genotype was the best performer in the majority of the environments studied, followed by CSR 27 (CHK2) and IR 87952-1-1-1-2-3-B (G05) which were the best genotypes in the mega-environment consisting of 21 environments evaluated across stress locations and year combinations. Overall, the most promising genotype (IR 87952-1-1-1-2-3-B) had high mean yield and stability and could be used for commercial cultivation or used as donor for breeding programs across salt-affected soils. The genotypes GN13 (IR 87938-1-1-2-1-3-B) and GN11 (IR 87938-1-2-2-1-3-B) showed 60–80% yield advantage at specific salt stress locations, showing that these genotypes could be used for specific environments of salt-affected soils in India.



中文翻译:

水稻基因型对印度盐胁迫的一般和特定适应性的增产主效应和乘性相互作用分析

这项研究的目的是使用AMMI(加性主效应和乘性相互作用)稳定性模型分析来鉴定耐盐胁迫环境的稳定水稻基因型,并鉴定理想的大环境。在2014年和2015年的两个卡里夫季节,在13个盐胁迫位置(碱和盐)中,总共评估了13种水稻基因型和3种耐盐性检查。发现基因型CSR 36(CHK3)是最理想的那些。基因型CHK2(CST 27)和IR 87952-1-1-1-2-3-B(G05)被发现是最稳定的,产量高于平均水平。在大多数研究的环境中,check CSR 36(CHK3)基因型是表现最好的,紧随其后的是CSR 27(CHK2)和IR 87952-1-1-1-2-3-B(G05),这是在21个环境进行了跨应力位置和年份组合评估的巨型环境中的最佳基因型。总体而言,最有希望的基因型(IR 87952-1-1-1-2-3-B)具有较高的平均产量和稳定性,可用于商业化种植或用作跨盐害土壤育种计划的捐助者。基因型GN13(IR 87938-1-1-2-1-3-B)和GN11(IR 87938-1-2-2-1-3-B)在特定的盐胁迫位置表现出60–80%的产量优势,表明这些基因型可用于印度盐渍土壤的特定环境。最有前途的基因型(IR 87952-1-1-1-2-3-B)具有较高的平均产量和稳定性,可用于商业种植或用作跨盐害土壤育种计划的捐助者。基因型GN13(IR 87938-1-1-2-1-3-B)和GN11(IR 87938-1-2-2-1-3-B)在特定的盐胁迫位置表现出60–80%的产量优势,表明这些基因型可用于印度盐渍土壤的特定环境。最有前途的基因型(IR 87952-1-1-1-2-3-B)具有较高的平均产量和稳定性,可用于商业种植或用作跨盐害土壤育种计划的捐助者。基因型GN13(IR 87938-1-1-2-1-3-B)和GN11(IR 87938-1-2-2-1-3-B)在特定的盐胁迫位置表现出60–80%的产量优势,表明这些基因型可用于印度盐渍土壤的特定环境。

更新日期:2021-01-19
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