Multivariate analysis in the selection of elephant grass genotypes for biomass production

Gravina, Lília Marques; Oliveira, Tâmara Rebecca Albuquerque de; Daher, Rogério Figueiredo; Gravina, G.A.; Vidal, A.K.F.; Stida, Wanessa Francesconi; Cruz, Derivaldo Pureza da; Sant’Anna, Camila Q.S.S. de; Rocha, Richardson Sales; Pereira, Antônio Vander; Oliveira, Gustavo Hugo Ferreira de

doi:10.1016/j.renene.2020.06.094

Cited by 9 publications

(8 citation statements)

References 15 publications

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“…According to Yang et al (2009), at least 60% of the data variation must be explained by the first two PCs. Similar values for total variation detected by PCs were reported by Gravina et al (2020), who evaluated morpho-agronomic traits in elephant grass genotypes and described that 70.07% of the total variation was explained in the first two PCs.…”

Section: Resultssupporting

confidence: 85%

“…The high coefficients of variation (CV) obtained for DMY (37.53%), NT (30.51%), and SD (21.40%) are acceptable, considering that the traits evaluated in this study are quantitative and, consequently, highly influenced by the environment. Gravina et al (2020) and Souza et al (2017) also worked with elephant grass and found similar results regarding CV in experiments evaluating the same quantitative traits.…”

Section: Resultsmentioning

confidence: 62%

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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: Resultssupporting

confidence: 85%

Section: Resultsmentioning

confidence: 62%

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 coefficient of variation (CV) for DMY, DM content (%DM) and plant height (HEI) traits found were, respectively, 39.05%, 10.01% and 9.90%, at the first year of cultivation, and 31.47%, 13.22% and 6.64%, at the second year of cultivation (Table 1). While some values of the coefficients of variation are classified as very high, these results support the results normally found in studies with culture under field conditions (Rossi et al, 2014;Oliveira et al, 2014;Rocha et al, 2015;Gravina et al, 2020).…”

Section: Resultssupporting

confidence: 85%

Growth curve in elephant grass genotypes based on morpho-agronomic traits for energy production

Vidal

Daher

Freitas

et al. 2022

Chil. j. agric. res.

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The elephant grass (Cenchrus purpureus (Schumach.) Morrone) is one of the species with great prominence for energy production because of its favorable traits, such as high yield and short cycle, combined with several biomass quality characteristics. Therefore, this study intended to evaluate the morpho-agronomic traits of eight elephant grass genotypes under different cutting ages. A randomized block design with three replicates was applied to the experiment, and plots were composed of a 12 m long line divided into six subplots for each of the bimonthly cuts. Eight genotypes were evaluated in the plots, and the cutting ages (2, 4, 6, 8, 10, and 12-mo) were analyzed in the subplots. The following traits were assessed: DM yield, (DMY) percentage of DM, and average plant height (HEI). All genetic-statistical analyses were conducted using the Genes Program. The evaluated genotypes showed nonsignificant differences, indicating that, for the evaluated traits, these genotypes are genetically similar. Most genotypes presented linear effect of 2 nd degree in the two assessment cuts, pointing they did not reach their maximum capacity of DMY in the time interval of the evaluated cuts. The maximum %DM achieved for the most genotypes occurred at about 9-mo age, while genotypes Vruckwona and BAG-86 at about 10-mo age. The maximum points for HEI trait were between 8 and 10-mo age. Increasing the cutting interval leads to increases in DM yield, with the 10-mo cutting age being the most efficient, resulting in higher yields.

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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%

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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Multivariate analysis in the selection of elephant grass genotypes for biomass production

Cited by 9 publications

References 15 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

Growth curve in elephant grass genotypes based on morpho-agronomic traits for energy production

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

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