Characterization of white mold disease avoidance in common bean

Miklas, Phillip N.; Porter, Lyndon D.; Kelly, James D.; Myers, James R.

doi:10.1007/s10658-012-0153-8

Cited by 95 publications

(176 citation statements)

References 51 publications

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“…Furthermore, they exhibited a high level of physiological resistance to a specific isolate of S. sclero- (Miklas et al, 2013). The results of this study indicate that the physiological resistance of Cornell 605, A195 and G122 is effective against distinct genotypes of S. sclerotiorum collected from the main producing regions of common bean in Brazil.…”

Section: Resultsmentioning

confidence: 73%

Reaction of sources of resistance to white mold to microsatellite haplotypes of Sclerotinia sclerotiorum

Lehner

Júnior

Vieira

et al. 2016

Sci. agric. (Piracicaba, Braz.)

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White mold caused by the fungus Sclerotinia sclerotiorum is the most yield-limiting disease of common bean in Brazil. To date, there has been no commercial cultivar resistant to this disease. In a greenhouse we evaluated white mold resistance sources (Cornell 605, A195 and G122) against eight isolates of S. sclerotiorum from five Brazilian states. A Brazilian cultivar (BRSMG Madrepérola) and a susceptible check (Beryl) were used as control. Treatments were arranged in factorial combinations (5 × 8) in a completely random design with four replicates.Disease severity was assessed on a rating scale of 1-to-9 together with lesion length, which was used to determine an area under the disease progress curve (AUDPC). Polymorphisms detected in ten microsatellite loci were used to assess variability between the isolates. Each isolate was a distinct haplotype; they formed a genetic tree with two clusters. One cluster was formed by three isolates collected from the states of Minas Gerais and São Paulo (southeastern); the others, by isolates from Paraná, Santa Catarina (southern), Goiás (Mid-western), and again, Minas Gerais.Genotype × isolate interaction was significant. In general, Beryl was more susceptible than BRSMG Madrepérola. Considering the AUDPC and/or the white mold reaction score, Cornell 605 exhibited more physiological resistance than BRSMG Madrepérola to seven isolates, A195 to five isolates, and G122 to two isolates. Our results suggest that Cornell 605 is the best source of resistance to white mold for the southern region, whereas Cornell 605 and A195 are somewhat superior to G122 for the southeastern and mid-western regions.

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Section: Resultsmentioning

confidence: 73%

Reaction of sources of resistance to white mold to microsatellite haplotypes of Sclerotinia sclerotiorum

Lehner

Júnior

Vieira

et al. 2016

Sci. agric. (Piracicaba, Braz.)

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“…Escape mechanisms and physiological resistance mechanisms are quantitatively inherited and controlled by QTLs (quantitative trait loci) to both small and large effect (Miklas et al, 2013;Mkwaila et al, 2011;Soule et al, 2011;Lara et al, 2014).…”

mentioning

confidence: 99%

Increasing the resistance of common bean to white mold through recurrent selection

Leite

Dias

Souza

et al. 2016

Sci. agric. (Piracicaba, Braz.)

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White mold, caused by Sclerotinea sclerotiorum (Lib.) de Bary is one of the most important diseases of the common bean (Phaseolus vulgaris L.) worldwide. Physiological resistance and traits related to disease avoidance such as architecture contribute to field resistance. The aim of this study was to verify the efficiency of recurrent selection in physiological resistance to white mold, "Carioca" grain type and upright habit in common bean. Thirteen common bean lines with partial resistance to white mold were intercrossed by means of a circulant diallel table, and seven recurrent selection cycles were obtained. Of these cycles, progenies of the S 0:1 , S 0:2 and S 0:3 generations of cycles III, IV, V and VI were evaluated. The best (8 to 10) progenies of the seven cycles were also evaluated, in two experiments, one in the greenhouse and one in the field. Lattice and/or randomized block experimental designs were used. The traits evaluated were: resistance to white mold by the straw test method, growth habit and grain type. The most resistant progenies were selected based on the average score of resistance to white mold. Subsequently, they were evaluated with regard to grain type and growth habit. Recurrent selection allowed for genetic progress of about 11 % per year for white mold resistance and about 15 % per year for the plant architecture.There was no gain among cycles for grain type. Progeny selection and recurrent selection were efficient for obtaining progenies with a high level of resistance to white mold with "Carioca" grain type and upright habit.

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“…The BMd42a, BM212, and ATA244 markers evaluated in this study have appeared in the literature for LG 10 (Freyre et al, 1998;Grisi et al, 2007;Miklas et al, 2013). All identified QTLs increased the resistance to white mold.…”

Section: Identification Of Qtls For Resistance To White Moldmentioning

confidence: 58%

“…This marker was initially mapped by Yu et al (2000) in 2 RIL populations, DOR364/G19833 and BAT93/JaloEEP558, in LG 4, and has frequently been reported in the literature (Blair et al, 2003(Blair et al, , 2008Mkwaila et al, 2011;Soule et al, 2011;Miklas et al, 2013). In its linkage group, there are 2 QTLs-WM4.1 PX and WM4.2 R31 , identified by Park et al (2001) and Soule et al (2011), respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Various quantitative trait loci (QTLs) have been shown to provide the plant with resistance/tolerance to this pathogen (Mkwaila et al, 2011;Soule et al, 2011;Pérez-Vega et al, 2012;Miklas et al, 2013); however, it is difficult to build reliable genetic maps using molecular markers associated with these QTLs that are useful for marker-assisted selection.…”

Section: Introductionmentioning

confidence: 99%

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Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis

Lara¹,

Santos²,

Balestre³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. In this study, we identified simple sequence repeat, amplified fragment length polymorphism, and sequence-related amplified polymorphism markers linked to quantitative trait loci (QTLs) for resistance to white mold disease in common bean progenies derived from a cross between lines CNFC 9506 and RP-2, evaluated using the oxalic acid test and using Bayesian analysis. DNA was extracted from 186 F 2 plants and their parental lines for molecular analysis. Fifteen experiments were carried out for phenotypic analysis, which included 186 F 2:4 progenies, the F 1 generation, the F 2 generation, and the lines CNFC 9506, RP-2, and G122 as common treatments. A completely randomized experimental design with 3 replications was used in controlled environments. The adjusted means for the F 2:4 generation were to identify QTLs by Bayesian shrinkage analysis. Significant differences were observed among the progenies for the reaction to white mold. The moving away method under the Bayes- Identification of QTLs for resistance to white mold ian approach was effective for identifying QTLs when it was not possible to obtain a genetic map because of low marker density. Using the Wald test, 25 markers identified QTLs for resistance to white mold, as well as 16 simple sequence repeats, 7 amplified fragment length polymorphisms, and 2 sequence-related amplified polymorphisms. The markers BM184, BM211, and PV-gaat001 showed low distances from QTLs related white mold resistance. In addition, these markers showed, signal effects with increasing resistance to white mold and high heritability in the analysis with oxalic acid, and thus, are promising for marker-assisted selection.

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Characterization of white mold disease avoidance in common bean

Cited by 95 publications

References 51 publications

Reaction of sources of resistance to white mold to microsatellite haplotypes of Sclerotinia sclerotiorum

Reaction of sources of resistance to white mold to microsatellite haplotypes of Sclerotinia sclerotiorum

Increasing the resistance of common bean to white mold through recurrent selection

Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis

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