Assessment of energy production in full-sibling families of elephant grass by mixed models

Silva, Verônica Brito da; Daher, Rogério Figueiredo; Souza, Yure Pequeno de; Menezes, Bruna Rafaela da Silva; Santos, Eileen Azevedo; Freitas, Rafael Souza; Oliveira, Érik da Silva; Stida, Wanessa Francesconi; Cassaro, Sabrina

doi:10.1016/j.renene.2019.06.152

Cited by 12 publications

(9 citation statements)

References 19 publications

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“…Among the crops used for biomass energy production, elephant grass [Cenchrus purpureus (Schumach.) Morrone] has been gaining notoriety due to its high dry matter yield (59.26 t ha -1 year -1 ) (Silva et al, 2020) and rapid growth, which allows for harvesting at 10 months (Vidal et al, 2022). However, despite its relevance, there is still a need to advance research focusing on the development of new cultivars.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity based on multivariate techniques in elephant grass genotypes for bioenergy

Vidal,

Daher,

Freitas

et al. 2024

Braz. J. Biol.

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The use of biomass for energy production constitutes a promising strategy that warrants the search for new sources of biomass. Elephant grass has been gaining notoriety due to its high dry matter yield and rapid growth. The present study was carried out to quantify the genetic divergence of nine elephant grass half-sib families in order to identify genotypes with greater genetic divergence and productive potential for hybridization, using the hierarchical clustering methodology based on principal components. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was laid out in a randomized-block design with nine half-sib families, three replicates, and eight plants per plot. A total of 216 genotypes of elephant grass were evaluated. Principal component (PC), biplot, and hierarchical clustering analyses for diversity estimation were conducted using R software. The first two PCs of biplot analysis accounted for 64% of the cumulative variation. Dry matter yield was the most important trait for genotype discrimination (0.89), followed by plant height (0.67) and stem diameter (0.61) in PC1. In this analysis, the distances between accessions were considered and there were no family links, which indicates the existence of wide variability within the evaluated families, since genotypes belonging to the same family were not grouped together, but rather distributed into different groups. Crosses between genotypes of group three and genotypes of groups one and two are recommended for the development of high-yielding genotypes when aiming at energy production.

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Section: Introductionmentioning

confidence: 99%

Genetic diversity based on multivariate techniques in elephant grass genotypes for bioenergy

Vidal,

Daher,

Freitas

et al. 2024

Braz. J. Biol.

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“…https://doi.org/10.1590/ 1678-4499.20230198 Elephant grass [Cenchrus purpureus (Schumach.) Morrone] is an energy crop that has been widely studied due to its great potential for dry matter production, with high energy quality (Rocha et al 2015, Stida et al 2018, Silva et al 2020, Gravina et al 2020) and tolerance to unfavorable weather conditions such as water deficit (Habte et al 2022). Since 2007, the Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF) has been developing the elephant grass breeding program, which has driven the improvement of the crop and contributed to promoting its use in the northern region of the state of Rio de Janeiro, Brazil.…”

Section: Introductionmentioning

confidence: 99%

“…In natural conditions, the plant performs crosspollination, and the mechanism that favors allogamy is protogyny. This feature makes self-pollination in the same panicle difficult and facilitates controlled crossings in plant breeding programs (Silva et al 2020). For this reason, the breeding of this crop is based on the recombination of divergent genotypes in directed crosses, selection, and cloning of progenies (Pereira et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Productive performance of elephant grass clones from full-sib families in an advanced stage of breeding

Vidal,

Daher,

Freitas

et al. 2024

Bragantia

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The objectives of this study were to estimate genetic parameters and the repeatability coefficient and to select clones of elephant grass from full-sib families. Fifteen clones and two commercial controls were evaluated in a randomized block design with three replications. Three measurements were taken at regular 10-month intervals. Genotypic variance was significant. The observed heritability based on the mean of the genotypes (0.58), coupled with the results of repeatability (0.53) and selection accuracy (0.76), demonstrates that the genotypes performance is constant between measurements. Thus, only three measurements are necessary to reliably select genotypes and obtain real genetic gains with selection. Among the 15 clones evaluated, six showed higher new means than those of the BRS Capiaçu and BRS Canará controls and can be used as parents and/or to compose value for cultivation and use experiments aimed at the release of cultivars for bioenergy production.

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“…Also, it has been used to obtain fuels such as ethanol [33,34,[43][44][45] or methane [24,[46][47][48], pyrolysis products [34,[49][50][51][52], thermal and electrical energy [17,24,[53][54][55][56][57][58], and densified solid biofuels [19]. These uses testify to the high potential of Elephant grass for energy production and have fostered research into genetic breeding methods for improving its properties as a raw material and optimizing its use [24,53,[59][60][61].…”

Section: Introductionmentioning

confidence: 99%

Cold alkaline extraction of Elephant grass for optimal subsequent extraction of hemicelluloses and energy production

García

Alfaro

Loaiza

et al. 2022

Biomass Conv. Bioref.

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There is growing scientific and industrial interest in obtaining useful substances by fractionating lignocellulosic biomass from non-food plant crops for use by the bioenergy industry. The primary goals are to ensure process sustainability and to comply with the principles of circular economy. In this work, we optimized energy production from Elephant grass by previously using cold alkaline extraction to remove its hemicellulose fraction. Elephant grass contains a high proportion of lignin (20%) and hemicelluloses (27.4%), and therefore is an excellent alternative to wood materials for energy production by direct burning. Energy production was optimized to identify the best operating conditions among those tested, namely: alkali concentrations of 80–120 g NaOH L–1, temperatures of 20–40 °C, and treatment times of 30–90 min. Using the optimum conditions thus established (viz., 100 g NaOH L–1, 30 °C, and 30 min) raised the high heating value (HHV) to 19.151 MJ kg–1 (i.e., by 4% relative to the starting material). Also, it allowed the content in elemental C to be preserved, that in H increased by 4.86% and, more environmentally significant, most sulphur (46.9%) to be removed from the solid phase upon treatment. Cold alkaline extraction of the raw material additionally enabled relatively selective separation of the hemicellulose fraction from the cellulose and lignin fractions. Thus, 30.1% of all hemicellulose was dissolved in the treatment liquor and made valorizable while 93.0% of cellulose and 82.1% of lignin present in the raw material remained in the solid phase.

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Assessment of energy production in full-sibling families of elephant grass by mixed models

Cited by 12 publications

References 19 publications

Genetic diversity based on multivariate techniques in elephant grass genotypes for bioenergy

Genetic diversity based on multivariate techniques in elephant grass genotypes for bioenergy

Productive performance of elephant grass clones from full-sib families in an advanced stage of breeding

Cold alkaline extraction of Elephant grass for optimal subsequent extraction of hemicelluloses and energy production

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