Site and Saccharum spontaneum introgression level drive sugarcane yield component traits and their impact on sucrose yield in contrasted radiation and thermal conditions in La Réunion

Gouy, Matthieu; Luquet, Delphine; Rouan, Lauriane; Martiné, Jean-François; Thong-Chane, Audrey; Costet, Laurent; Nibouche, Samuel; Gozé, Éric

doi:10.1016/j.fcr.2014.11.002

Cited by 8 publications

(7 citation statements)

References 38 publications

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“…Botanically, the fundamental distinguishing characteristic of energy cane in comparison with conventional sugarcane is its genomic constitution. Whereas the modern sugarcane cultivars have a predominance (about 85%) of genome from the basic species Saccharum officinarum, with the remainder coming from the wild ancestor S. spontaneum (D'HONT et al, 1996;GRIVET & ARRUDA,2001;CUADRADO et al, 2004), energy cane types have something the inverse of that (GOUY et al, 2015). Besides, the higher agronomical potential of energy cane by the technological side, a striking difference from sugarcane lies in the carbohydrate components: energy cane has a juice comparatively with less total sugars (sucrose is the predominant form) and; conversely, a much higher fiber content.…”

Section: Introductionmentioning

confidence: 99%

Deterioration and fermentability of energy cane juice

et al. 2017

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The main interest in the energy cane is the bioenergy production from the bagasse. The juice obtained after the cane milling may constitute a feedstock for the first-generation ethanol units; however, little attention has been dedicated to this issue. In order to verify the feasibility of the energy cane juice as substrate for ethanol production, the objectives of this research were first to determine the microbiological characteristics and deterioration along the time of the juices from two clones of energy cane (Type I) and second, their fermentability as feedstock for utilization in ethanol distilleries. There was a clear differentiation in the bacterial and yeast development of the sugarcane juices assayed, being much faster in the energy canes than in sugarcane. The storage of juice for 8 hours at 30oC did not cause impact in alcoholic fermentation for any sample analyzed, although a significant bacterial growth was detected in this period. A decrease of approximately seven percentage points in the fermentative efficiency was observed for energy cane juice in relation to sugarcane in a 24-hour fermentation cycle with the baking yeast. Despite the faster deterioration, the present research demonstrated that the energy cane juice has potential to be used as feedstock in ethanol-producing industries. As far as we know, it is the first research to deal with the characteristics of deterioration and fermentability of energy cane juices.

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Section: Introductionmentioning

confidence: 99%

Deterioration and fermentability of energy cane juice

et al. 2017

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“…Total sucrose yield is a highly complex trait that depends on yield components, and morphological and quality traits, each having its own sensitivity to abiotic conditions (Rae et al, 2005). Interactions among sugarcane yield components and their effect on sucrose yields have been identified by other authors (Wang et al, 2008; Gouy et al, 2015). According to these authors, the SN was reported to be the most important component for sugarcane production, followed by SW and SD, while plant height and sucrose content were considered to be of secondary importance (Wang et al, 2008; Gouy et al, 2015).…”

Section: Discussionmentioning

confidence: 58%

Yield and qualitative traits of sugarcane cultivated in agroforestry systems: Toward sustainable production systems

Schwerz

Elli

Behling

et al. 2017

Renew. Agric. Food Syst.

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One of the greatest challenges in crop science worldwide is to generate a balance between crop production and environmental preservation. Agroforestry systems present promising strategies for balancing environmental health and crop production. The aim of this study was to evaluate yield components and the juice quality of five sugarcane crop years cultivated in the understory of Aleurites fordii, in two intercropping systems and a monocropping system. A field experiment was conducted from November 2011 to June 2016 in the city of Frederico Westphalen—Rio Grande do Sul, Brazil. Information generated in this study confirms the viability of the cultivation of sugarcane in agroforestry systems, and provides information for farmers which can be used to assist in the planning of more ideal agroforestry arrangements. Agroforestry systems should consider the benefits of both forest and cultivated plant species. In this study, A. fordii trees had greater growth in the intercrop II system; however, this system promoted reductions in sugarcane yield components due to the lowest relative amount of solar radiation intercepted by sugarcane plants. For sugarcane production, the use of an intercropping system with 12 × 12 m2 arrangements should be prioritized, because it promotes greater sugarcane yields when compared with 6 × 6 m2 intercropping systems; however, significant differences were not observed when the system (12 × 12 m2) was compared with the monocropping system for most of the analyzed variables. This study sought to provide new sustainable alternatives for farmers in order to increase the diversification of rural properties and maintain the preservation of existing agroecosystems.

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“…The primary purpose of a genetic breeding program is to improve yields (Cox et al, 1994), which is possible due to the accumulation of knowledge of plant breeding. Worldwide data indicate that sugarcane yield has increased by 41% during the last 50 yr (Gouy et al, 2013(Gouy et al, , 2015. Recently, small sugar production increases of approximately 1 to 1.5% per year have been obtained.…”

Section: Mixed Modeling Of Yield Components and Brown Rust Resistancementioning

confidence: 99%

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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Site and Saccharum spontaneum introgression level drive sugarcane yield component traits and their impact on sucrose yield in contrasted radiation and thermal conditions in La Réunion

Cited by 8 publications

References 38 publications

Deterioration and fermentability of energy cane juice

Deterioration and fermentability of energy cane juice

Yield and qualitative traits of sugarcane cultivated in agroforestry systems: Toward sustainable production systems

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

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