Pyramiding TYLCV and TSWV resistance genes in tomato genotypes

Revista de Protecci贸n Vegetal

Gómez Consuegra, Olimpia²  Piñón Gómez, Mayte²  Martínez Zubiaur, Yamila¹ 

[1] National Center for Animal and Plant Health (CENSA), San José de las Lajas, Cuba;Horticultural Research Institute Liliana Dimitrova (IIHLD), Cuba

关键词: TYLCV;    TSWV;    pyrimiding;    resistance genes;    tomato;    genotypes;   

DOI  :  

学科分类：农业科学（综合）

来源: Centro Nacional de Sanidad Agropecuaria

【 摘 要 】

The Cuban tomato line LD3 , in which the Ty-1 gene from Solanum chilense LA 1969 was detected, was crossed with an F1 hybrid carrying the genes Ty-3 from S. chilense LA 2779 and Sw-5 from S. peruvianum. A hundred F2 plants were transplanted to a ferralitic soil in the field and the F2 plants individually evaluated in the field with high natural TYLCV-IL (Cu) incidence by using a scale from 0 (no symptom) to 4 (severe stunting). The total DNA extracted from the F2 plants were analyzed per individual plant by using PCR markers linked to the genes Ty-3 (resistance to TYLCV) and Sw-5 (resistance to TSWV) so that both genes could be detected in a same genotype. Eighty two F2 plants showed no symptoms under natural TYLCV incidence (0 symptoms) with a productivity ranging from 1.6 to 9.7 kilograms per plant. The Principal Component Analysis (PCA) permitted grouping the different genotypes. Six F2 plants showed the Ty-3 gene in homozygosis and 12 in heterozygosis; 33 F2 plants showed the Sw-5 gene according to their DNA analysis. Three F2 plants (number 65, 68 and 78) showed the Ty-3 and Sw-5 genes in homozygosis besides the Ty-1 gene (resistance to TYLCV) from their female parent. Their productivity ranged from 6.0 to 6.8 kilograms per plant. These are the first Cuban results in which resistance genes for two important diseases in the tomato crop are obtained in a same genotype by the early and simultaneous molecular screening for resistance and the productivity evaluation under field conditions, Both tools, when simultaneously used, are efficient in reducing selection time and space.

【 授权许可】

CC BY-NC