Repeatability and minimum number of evaluations
for morpho-agronomic characters of elephant-grass for energy purposes

Souza, Yure Pequeno de; Daher, Rogério Figueiredo; Pereira, Antônio Vander; Silva, Verônica Brito da; Freitas, Rafael Souza; Gravina, Geraldo de Amaral

doi:10.5039/agraria.v12i3a5456

Cited by 5 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

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

Vidal,

Daher,

Freitas

et al. 2024

Braz. J. Biol.

View full text Add to dashboard Cite

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.

show abstract

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.

View full text Add to dashboard Cite

show abstract

“…This result was expected since the traits evaluated in this study are controlled by many genes and are highly affected by the growth environment (Souza et al, 2017). However, the form of crop propagation (vegetative) shows an advantage of all genetic variance, whether of an additive, dominant, or epistatic nature (Cruz et al, 2014).…”

Section: Resultsmentioning

confidence: 69%

Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models

Vidal

Daher

Ambrósio

et al. 2023

Sci. agric. (Piracicaba, Braz.)

View full text Add to dashboard Cite

The mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in elephant grass breeding programs for bioenergy production.

show abstract

“…The expression of these traits is complex within this scenario, given the large number of segregating locus controlling the trait, while suffering the influence of environmental effects. Consequently, understanding the heritability and the determining components of their variation are vital in the study of quantitative traits [ 26 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

Multi-trait index: selection and recommendation of superior black bean genotypes as new improved varieties

Ambrósio,

Daher,

Santos

et al. 2024

BMC Plant Biol

View full text Add to dashboard Cite

Common bean provides diet rich in vitamins, fiber, minerals, and protein, which could contribute into food security of needy populations in many countries. Developing genotypes that associate favorable agronomic and grain quality traits in the common bean crop could increase the chances of adopting new cultivars black bean. In this context, the present study aimed at selection of superior black bean lines using multi-variate indexes, Smith-Hazel-index, and genotype by yield*trait biplot analysis. These trials were conducted in Campos dos Goytacazes - RJ, in 2020 and 2021. The experimental design used was randomized blocks, with 28 treatments and three replications. The experimental unit consisted of four rows 4.0 m long, spaced at 0.50 m apart, with a sowing density of 15 seeds per meter. The two central rows were used for the evaluations. The selection of superior genotypes was conducted using the multiple trait stability index (MTSI), multi-trait genotype-ideotype distance index (MGIDI), multi-trait index based on factor analysis and genotype-ideotype distance (FAI-BLUP), Smith-Hazel index, and Genotype by Yield*Trait Biplot (GYT). The multivariate indexes efficiently selected the best black bean genotypes, presenting desirable selection gains for most traits. The use of multivariate indexes and GYT enable the selection of early genotypes with higher grain yields. These lines G9, G13, G17, G23, and G27 were selected based on their performance for multiple traits closest to the ideotype and could be recommended as new varieties.

show abstract

Repeatability and minimum number of evaluations for morpho-agronomic characters of elephant-grass for energy purposes

Cited by 5 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

Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models

Multi-trait index: selection and recommendation of superior black bean genotypes as new improved varieties

Contact Info

Product

Resources

About