Identification of false smut - resistant donors in Rice (Oryza sativa L.) and analysis of their morpho-molecular diversity for resistance breeding

被引:0
|
作者
Sowmiya, Mangudi [1 ]
Manonmani, Swaminathan [1 ]
Selvi, Nallamuthu Ramya [1 ]
Saraswathi, Ramasamy [2 ]
Suresh, Ramalingam [1 ]
Gopalakrishnan, Chellappan [3 ]
Raveendran, Muthurajan [4 ]
Dhamotharan, Palanisamy [5 ]
机构
[1] Tamil Nadu Agr Univ, Ctr Plant Breeding & Genet CPBG, Dept Rice, Coimbatore 641003, Tamil Nadu, India
[2] Tamil Nadu Agr Univ, Ctr Plant Breeding & Genet CPBG, Dept Plant Genet Resources, Coimbatore 641003, Tamil Nadu, India
[3] Tamil Nadu Agr Univ, Ctr Plant Protect Studies CPPS, Dept Rice, Coimbatore 641003, Tamil Nadu, India
[4] Tamil Nadu Agr Univ, Res, Coimbatore 641003, Tamil Nadu, India
[5] Tamil Nadu Agr Univ, Dept Genet & Plant Breeding, Coimbatore 641003, Tamil Nadu, India
来源
PLANT SCIENCE TODAY | 2024年 / 11卷 / 04期
关键词
False smut; phenotyping; genetic diversity; marker profiling; SSR markers; USTILAGINOIDEA-VIRENS;
D O I
10.14719/pst.4242
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
False smut disease of rice caused by the pathogen Ustilaginoidea virens is a growing threat to the rice farmers as it affects both quality and quantity. Development of resistant variety becomes difficult, since very few resistant donors were available for false smut resistant breeding programme. Therefore, to identify potential donors for resistance breeding a total of 60 genotypes were screened at hotspot location (Gudalur) during kharif 2023 which led to identification of 12 highly resistant genotypes and the notable ones are Koolavalai, Periya chandikar, Kapikar selection and Earapalli. Genetic variability studies indicated the presence of additive gene action for all the agronomic and disease related traits. Principal component analysis revealed the first 5 principal components collectively contributing 78.79 % of the total variance with disease-related traits contributing significantly to divergence. Ten clusters were delineated using Mahalanobis D2 2 statistics with clusters IX and V showing higher inter cluster distance (3453.64). Fortyone polymorphic markers were used to analyse the genotypes and The Unweighted Pair Group method with Arithmetic Mean (UPGMA) clustering by Jaccard distance formed 6 clusters. The Bayesian clustering classified the entire population into 2 subpopulations. False smut linked marker RM336 and RM218 were found to be the most informative marker with high Polymorphism Information Content (0.71, 0.69) and Heterozygosity Index (0.76, 0.73). The resistant genotypes such as IG71, Thulasi vasanai samba, Arupatham vellai, Kaltikar and Chinna aduku nel can be used in the future breeding programmes to develop the resistant cultivar and to identify the candidate genes governing resistance.
引用
收藏
页码:391 / 406
页数:16
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