GGE Biplot para estabilidade e adaptabilidade em progênies de açaizeiro de Anajás, PA

Neto, J. T. de Farias; Yokomizo, Gilberto Ken Iti; Oliveira, M. do S. P. de; Hongyu, Kuang

doi:10.18227/1982-8470ragro.v12i1.4220

Cited by 3 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reduction in the number of characteristics for two principal components facilitated the genetic divergence assessment of cowpea genotypes based on genetic values (BLUPs) for the studied variables (Figure 2). The influence on genotype performance could be graphically highlighted regardless of the species evaluated (FARIAS NETO et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

Prospection of cowpea genotypes for green-grain production

Pessoa

Bertini

Costa

et al. 2022

RCA

View full text Add to dashboard Cite

Cowpea is a nutritious species cultivated worldwide whose high genetic variability can be exploited in breeding programs. The present study aimed to identify phenotypically divergent genotypes of Vigna unguiculata (L.) Walp., from this perspective concerning agronomic and physiological variables aiming at green grain production. An experiment was conducted in Fortaleza -CE, to analyse 13 variables in 44 genotypes from the Active Germplasm Bank of the Federal University of Ceará. The experiment was set up in an augmented block design with four additional controls (commercial cultivars). The genetic and environmental variance components were estimated by restricted maximum likelihood, after which the intraclass correlation coeffi cient (ICC) was calculated. Principal components analysis, Tocher's clustering and correlation analysis were used in the study. The variables most infl uenced by genetic variance were production per plant, green pod length, green grain length, grain mass per pod, and total yield, with ICC > 0.5. Principal components analysis signalled the physiological variables gs, ci, and ci.ca and the agronomic variables of green pod length, green grain mass, number of grains per pod, and earliness of production as important for differentiating between cowpea genotypes. CE genotypes 02, 151, 165, 172, 189, 244, 986, and 1002 show genetic variability, and their use is recommended in cowpea breeding programs aimed at green-grain production.

show abstract

Section: Resultsmentioning

confidence: 99%

Prospection of cowpea genotypes for green-grain production

Pessoa

Bertini

Costa

et al. 2022

RCA

View full text Add to dashboard Cite

show abstract

“…There are numerous methods to study better the interaction, including some more recently published (Farias Neto et al, 2018;Oliveira et al, 2018). Nevertheless, in this study we decided to use traditional and above all easy-to-interpret methods.…”

Section: Discussionmentioning

confidence: 99%

Selection of Eucalypt Clones With Higher Stability in Pulp Yield

Souza

Lima

et al. 2020

Rev. Árvore

View full text Add to dashboard Cite

Forest exploitation is conducted in thousands of hectares in Brazil and presents a wide variation in environmental conditions in terms of soil, climate and even management, so identifying clones that may be recommended for these various conditions is a major challenge. In this recommendation, one important character is the mean annual increment in cellulose (MAICEL). This study aimed to evaluate the interaction of different clones and environments for MAICEL in order to verify whether the origin of clone selection affects their performance in other regions and to identify clones based on adaptability. MAICEL data were used for the evaluation of clones from Suzano S.A. in five environments distributed in the states of Espírito Santo, São Paulo, and Mato Grosso do Sul. Clonal tests were arranged in a randomized block design with plots of one plant. Data on MAICEL of the trees at five years were submitted to analysis of variance per environment and, subsequently, to the joint analysis. The clones x environments interaction was expressive for MAICEL, however, the origin of selection does not affect the performance of clones when grown in other regions. Some clones stood out for their adaptability, allowing more security to the company on the recommendation for different environments.

show abstract

“…The GGE biplot methodology has been used to investigate the G × E interaction in several crops, such as popcorn (Santos, Amaral Júnior, et al., 2017), corn for silage (Kokten et al., 2017), common corn (Oliveira et al., 2019), açaí palm ( Euterpe oleracea Mart.) (de Farias Neto et al., 2018; Yokomizo et al., 2020), cowpea [ Vigna unguiculata (L.) Walp.] (D. P. D. Cruz et al., 2020; Santos, Ceccon, et al., 2017), soybean [ Glycine max (L.) Merr.]…”

Section: Introductionmentioning

confidence: 99%

Adaptability and stability of corn hybrids for silage via genotype and genotype × environment interaction biplot

et al. 2023

View full text Add to dashboard Cite

The occurrence of the genotype × environment (G × E) interaction is one of the main factors that hinder the selection of adapted and stable genotypes. The genotype and G × E interaction (GGE) biplot methodology is an efficient process to detect corn (Zea mays L.) hybrids for silage and, consequently, will help in the recommendation of new and more stable hybrids in different environments in breeding programs. In this sense, this study aimed to evaluate and select corn hybrids for silage that simultaneously combine high yield and stability in different environments in the state of Rio de Janeiro, Brazil, via GGE biplot. Eleven corn hybrids, eight precommercial topcrosses and three commercial controls, were evaluated at three sites (Campos dos Goytacazes, Cambuci, and Itaocara, Rio de Janeiro) during two seasons: the 2017-2018 season and 2018-2018 off-season. The experiments were designed in completely randomized blocks with three replications. Individual and joint analyses of variance were performed and, after detecting significant interaction between genotype and environment, the adaptability and phenotypic stability of corn genotypes for silage were analyzed using the GGE biplot methodology. The GGE biplot analysis was efficient in interpreting the data and represented 83.68% of the total variation in the first two principal components. The use of the GGE biplot method allowed the recommendation of more productive, stable, and responsive hybrids for the state of Rio de Janeiro. The hybrid UENF MS2208 is indicated for cultivation in the state of Rio de Janeiro for combining high green biomass yield and stability. INTRODUCTIONCorn (Zea mays L.) is a crop that has importance in the socioeconomic, environmental, and cultural spheres worldwide and also in Brazil. It mainly is due to its potential use in human and animal food and biofuel production among others AEC, average environment coordinate; G × E, genotype × environment interaction; GGE, genotype and genotype × environment interaction; GMY, green biomass yield.

show abstract

GGE Biplot para estabilidade e adaptabilidade em progênies de açaizeiro de Anajás, PA

Cited by 3 publications

References 13 publications

Prospection of cowpea genotypes for green-grain production

Prospection of cowpea genotypes for green-grain production

Selection of Eucalypt Clones With Higher Stability in Pulp Yield

Adaptability and stability of corn hybrids for silage via genotype and genotype × environment interaction biplot

Contact Info

Product

Resources

About