Validation of Genomic Selection Approach for Predicting Sheath Blight Resistance in Rice (Oryza sativa L.,)

نویسندگان

چکیده

Rice sheath blight (ShB) is one of the most serious fungal diseases caused by Rhizoctonia solani, instigating significant yield losses in many rice-growing regions world. Intensive studies indicated that resistance for controlled possibly polygenes. Because complex inheritance, it’s very difficult to exploit and tap all genomic conferring using classical approaches QTL mapping, important have a different strategy harness such mechanism. One promising approach can potentially provide accurate predictions phenotypes selection (GS). The research was undertaken with an objective validate predicting involving 1545 Recombinant inbred lines (RILs) derived from eleven crosses between resistant susceptible parents (Jasmine 85XTN1, Jasmine 85XSwarnaSub1, 85XII32B, 85XIR54, TetepXTN1, TetepXSwarna Sub1, TetepXII32B, TetepXIR54, MTU 9992XTN1, 9992XII32B 9992XIRBB4). Where, 85, Tetep & 9992 were TN1, Swarna II32B, IR54 IRBB4 parents. During rainy season (2020) F7 RILs screened their reaction two hot spot locations. genotyping done Illumina platform having 6564 SNP markers. Bayesian B used train statistical model calculation marker effects GEBVs. prediction accuracy training set (data fit analysis) obtained 0.70 random cross validation approaches, ranged 0.67 0.74. results are lucrative, all, high accuracies observed this study suggest as breeding Rice.

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ژورنال

عنوان ژورنال: Journal of experimental agriculture international

سال: 2021

ISSN: ['2457-0591']

DOI: https://doi.org/10.9734/jeai/2021/v43i1130768