Haplotype structure around Bru1 reveals a narrow genetic basis for brown rust resistance in modern sugarcane cultivars

Costet, Laurent; Cunff, Loïc Le; Royaert, Stefan; Raboin, Louis-Marie; Hervouet, Catherine; Toubi, Lyonel; Telismart, Hugues; Garsmeur, Olivier; Rousselle, Yves; Pauquet, Jérôme; Nibouche, Samuel; Glaszmann, Jean-Christophe; Hoarau, Jean-Yves; D’Hont, Angélique

doi:10.1007/s00122-012-1875-x

Cited by 104 publications

(100 citation statements)

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“…Therefore, the release of cultivars that are resistant to brown rust is very important and is the most efficient form of disease control. The genetic inheritance of brown rust in sugarcane has been broadly studied, and some researchers have claimed that this resistance trait is controlled by one or a few genes (Asnaghi et al, 2004;Costet et al, 2012;Daugrois et al, 1996;Garsmeur et al, 2011;Glynn et al, 2013;Hogarth et al, 1993;Le Cunff et al, 2008;Parco et al, 2014;Raboin et al, 2006;Racedo et al, 2013;Ramdoyal et al, 2000;Sordi et al, 1988). In contrast to that shown for brown rust, almost every trait that is related to sugarcane production exhibits quantitative variations.…”

Section: Mixed Modeling Of Yield Components and Brown Rust Resistancementioning

confidence: 99%

“…The average severity of each genotype was transformed into a binary scale, where 0 represents disease resistance (1 on the diagrammatic scale) and 1 represents susceptibility to disease (2-9 on the diagrammatic scale). The transformation of the continuous variable data related to the severity of brown rust in two classes, resistance and susceptibility, was also reported by Asnaghi et al (2004), Raboin et al (2006), and Costet et al (2012). Table 1.…”

Section: Analysis Of Yield Components and Brown Rust Resistance Datamentioning

confidence: 99%

“…The severity of brown rust is assessed on a particular scale (Amorim et al, 1987;Tai et al, 1981), and the frequency of full-sib genotypes in each severity class is influenced by the genetic basis of the parents of the family. Several researchers have reported that brown rust resistance is controlled by one or a few genes (Asnaghi et al, 2004;Costet et al, 2012;Daugrois et al, 1996;Garsmeur et al, 2011;Glynn et al, 2013;Hogarth et al, 1993;Le Cunff et al, 2008;Parco et al, 2014;Raboin et al, 2006;Racedo et al, 2013;Ramdoyal et al, 2000;Sordi et al, 1988). Costet et al (2012) showed that resistance to brown rust in modern polyploid sugarcane cultivars essentially depends on the major gene Bru1.…”

Section: Probabilities Segregations and Heritability Of Resistance mentioning

confidence: 99%

“…Several researchers have reported that brown rust resistance is controlled by one or a few genes (Asnaghi et al, 2004;Costet et al, 2012;Daugrois et al, 1996;Garsmeur et al, 2011;Glynn et al, 2013;Hogarth et al, 1993;Le Cunff et al, 2008;Parco et al, 2014;Raboin et al, 2006;Racedo et al, 2013;Ramdoyal et al, 2000;Sordi et al, 1988). Costet et al (2012) showed that resistance to brown rust in modern polyploid sugarcane cultivars essentially depends on the major gene Bru1. A GLMM was used to analyze data from SR1 and SR2 because the binomial variable resistance-susceptibility was used to characterize the data of the progenies (Bennewitz et al, 2014;Bolker et al, 2009;De Silva et al, 2014).…”

Section: Probabilities Segregations and Heritability Of Resistance mentioning

confidence: 99%

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Mixed Modeling of Yield Components and Brown Rust Resistance in Sugarcane Families

et al. 2016

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Sugarcane (Saccharum spp.) is a complex autopolyploid with high potential for biomass production that can be converted into sugar and ethanol. Genetic improvement is extremely important to generate more productive and resistant cultivars. Populations of improved sugarcane are generally evaluated for several traits simultaneously and in multi-environment trials. In this study, we evaluated two full-sib families of sugarcane (SR1 and SR2) at two locations and 3 yr for stalk diameter, stalk height, stalk number, stalk weight, soluble solid content (Brix), sucrose content of cane, sucrose content of juice, fi ber, cane yield, sucrose yield, and resistance to brown rust (Puccinia melanocephala). Using a mixed model approach, we included appropriate variance-covariance (VCOV) structures for modeling heterogeneity and correlation of genetic eff ects and nongenetic residual eff ects. Th e genotypic correlations between traits were calculated across the adjusted means as the standard Pearson product-moment coeffi cient. Th rough the VCOV structures estimated for each trait, in general, the heritabilities ranged from 0.78 to 0.94. Additionally, we detected 17 and 12 signifi cant genotypic correlations between the evaluated traits for SR1 and SR2, respectively. Th e analysis of the severity data for brown rust revealed that 66 and 32% of the full-sib genotypes in SR1 and SR2, respectively, had at least 90% probability of being resistant. Abbreviations: AIC, Akaike information criterion; BIC, Bayesian information criterion; BLUP, best linear unbiased prediction; FIB, fi ber; GEI, genotype ´ environment interaction; GLMM, generalized linear mixed model; LMM, linear mixed model; METs, multi-environment trials; POL%C, sucrose content of cane in percentage; POL%J, sucrose content of juice in percentage; REML, restricted maximum likelihood; SD, stalk diameter; SH, stalk height; SN, stalk number; SR1, SP80-3280 ´ RB835486 full-sib family of sugarcane 1; SR2, SP81-3250 ´ RB925345 full-sib family of sugarcane 2; SW, stalk weight; TCH, tonnes of cane per hectare; TPH, tonnes of sucrose per hectare; VCOV, variance-covariance. core ideas• A linear mixed model is efficient in production data analysis of sugarcane.• In general, the broad-sense heritability of the traits were high, ranging from 0.78 to 0.94.• A generalized linear mixed model can be applied in brown rust analysis of sugarcane.• Multi-environment trials were applied to the genetic improvement of sugarcane.

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Section: Mixed Modeling Of Yield Components and Brown Rust Resistancementioning

confidence: 99%

Section: Analysis Of Yield Components and Brown Rust Resistance Datamentioning

confidence: 99%

Section: Probabilities Segregations and Heritability Of Resistance mentioning

confidence: 99%

Section: Probabilities Segregations and Heritability Of Resistance mentioning

confidence: 99%

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Mixed Modeling of Yield Components and Brown Rust Resistance in Sugarcane Families

et al. 2016

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“…Phylogenetic analysis of sugarcane rusts based on rDNA sequences and phylogenetic relationships of sugarcane rust fungi have been reported [26,27]. The sugarcane brown rust resistance gene (Bru1) was recently found to be prevalent in 86% of brown rust-resistant clones in a sample of 380 modern cultivars and breeding materials covering worldwide diversity [28]. Therefore, the opportunity exists to utilize Bru1 in marker-assisted breeding and selection in order to improve brown rust resistance in sugarcane [29].…”

Section: Bru1 In Parental Clones and Rust Rating In Their Progenymentioning

confidence: 99%

Screening for Sugarcane Brown Rust in the First Clonal Stage of the Canal Point Sugarcane Breeding Program

Zhao

Davidson²,

Baltazar³

et al. 2015

Agronomy

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Sugarcane (Saccharum spp.) brown rust (caused by Puccinia melanocephala Syd. & P. Syd.) was first reported in the United States in 1978 and is still one of the great challenges for sugarcane production. A better understanding of sugarcane genotypic variation in response to brown rust will help optimize breeding and selection strategies for disease resistance. Brown rust ratings were scaled from non-infection (0) to severe infection (4) with intervals of 0.5 and routinely recorded for genotypes in the first clonal selection stage of the Canal Point sugarcane breeding program in Florida. Data were collected from 14,272 and 12,661 genotypes and replicated check cultivars in 2012 and 2013, respectively. Mean rust rating, % infection, and severity in each family and progeny of female parent were determined, and their coefficients of variation (CV) within and among families (females) were estimated. Considerable variation exists in rust ratings among families or females. The families and female parents with high susceptibility or resistance to brown rust were identified and ranked. The findings of this study can help scientists to evaluate sugarcane crosses and parents for brown rust disease, to use desirable parents for crossing, and to improve genetic resistance to brown rust in breeding programs. OPEN ACCESSAgronomy 2015, 5 342

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Sugarcane as an Energy Crop: Its Role in Biomass Economy

Antwerpen¹,

Berry²,

Antwerpen³

et al. 2013

Biofuel Crop Sustainability

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Haplotype structure around Bru1 reveals a narrow genetic basis for brown rust resistance in modern sugarcane cultivars

Cited by 104 publications

References 31 publications

Mixed Modeling of Yield Components and Brown Rust Resistance in Sugarcane Families

Mixed Modeling of Yield Components and Brown Rust Resistance in Sugarcane Families

Screening for Sugarcane Brown Rust in the First Clonal Stage of the Canal Point Sugarcane Breeding Program

Sugarcane as an Energy Crop: Its Role in Biomass Economy

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