Search Results - "Dias, G. O."

Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum by Fernandes, Samuel B., Dias, Kaio O. G., Ferreira, Daniel F., Brown, Patrick J.

“…Key message We compare genomic selection methods that use correlated traits to help predict biomass yield in sorghum, and find that trait-assisted genomic…”
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Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data by Dias, K. O. G., Piepho, H. P., Guimarães, L. J. M., Guimarães, P. E. O., Parentoni, S. N., Pinto, M. O., Noda, R. W., Magalhães, J. V., Guimarães, C. T., Garcia, A. A. F., Pastina, M. M.

“…Key message Weighted outperformed unweighted genomic prediction using an unbalanced dataset representative of a commercial breeding program. Moreover, the use…”
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Models to estimate genetic gain of soybean seed yield from annual multi-environment field trials by Krause, Matheus D., Piepho, Hans-Peter, Dias, Kaio O. G., Singh, Asheesh K., Beavis, William D.

“…Key message Simulations demonstrated that estimates of realized genetic gain from linear mixed models using regional trials are biased to some degree. Thus, we…”
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Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials by Fernandes, Igor K., Vieira, Caio C., Dias, Kaio O. G., Fernandes, Samuel B.

“…Key message Incorporating feature-engineered environmental data into machine learning-based genomic prediction models is an efficient approach to indirectly…”
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Leveraging probability concepts for cultivar recommendation in multi-environment trials by Dias, Kaio O. G., dos Santos, Jhonathan P. R., Krause, Matheus D., Piepho, Hans-Peter, Guimarães, Lauro J. M., Pastina, Maria M., Garcia, Antonio A. F.

“…Key message We propose using probability concepts from Bayesian models to leverage a more informed decision-making process toward cultivar recommendation in…”
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GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting by Araújo, Maurício S., Chaves, Saulo F. S., Dias, Luiz A. S., Ferreira, Filipe M., Pereira, Guilherme R., Bezerra, André R. G., Alves, Rodrigo S., Heinemann, Alexandre B., Breseghello, Flávio, Carneiro, Pedro C. S., Krause, Matheus D., Costa-Neto, Germano, Dias, Kaio O. G.

“…Key message We propose an “enviromics” prediction model for recommending cultivars based on thematic maps aimed at decision-makers. Parsimonious methods that…”
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Estimate of genetic gain in popcorn after cycles of phenotypic recurrent selection by Ematné, H J, Nunes, J A R, Dias, K O G, Prado, P E R, Souza, J C

“…Popcorn is widely consumed in Brazil, yet there are few breeding programs for this crop. Recurrent selection (RS) is a viable breeding alternative for popcorn;…”
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Evaluation of progenies from the fifth reciprocal recurrent selection cycle in maize by Alves, N B, Pádua, J M V, Dias, K O G, Diniz, R P, Guedes, M L, Cardoso, G A, Souza, J C

“…The objective of this study was to evaluate the performance of 119 full sib progenies of the fifth cycle of reciprocal recurrent selection (RRS) derived from…”
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Leveraging multi-harvest data for increasing genetic gains per unit of time for fruit yield and resistance to witches’ broom in Theobroma grandiflorum by Chaves, Saulo F. S., Dias, Luiz A. S., Alves, Rodrigo S., Alves, Rafael M., Evangelista, Jeniffer S. P. C., Dias, Kaio O. G.

“…Theobroma grandiflorum is a perennial fruit-bearing species with a long breeding cycle (~ 12 years). In multi-harvest data analyses, one frequently observes…”
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Genetic control of the number of leaves above the ear in maize by Freire, A I, Dias, K O G, Oliveira, L B V, Nalin, R S, Guedes, F L, Souza, J C

“…In this study, we examined the genetic control of the number of leaves above the first ear in maize. The F₂ generations and the backcrosses were obtained from…”
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ProbBreed: a novel tool for calculating the risk of cultivar recommendation in multienvironment trials by Chaves, Saulo F S, Krause, Matheus D, Dias, Luiz A S, Garcia, Antonio A F, Dias, Kaio O G

“…Abstract Neglecting genotype-by-environment interactions in multienvironment trials (MET) increases the risk of flawed cultivar recommendations for growers…”
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Application of linear mixed models for multiple harvest/site trial analyses in perennial plant breeding by Chaves, Saulo F. S., Evangelista, Jeniffer S. P. C., Alves, Rodrigo S., Ferreira, Filipe M., Dias, Luiz A. S., Alves, Rafael M., Dias, Kaio O. G., Bhering, Leonardo L.

“…The optimization of perennial plant breeding necessarily involves the evaluation of multi-harvest and/or multi-site trials. In these situations, modeling…”
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Antimicrobial activity of extractives of Solidago microglossa by Morel, A.F., Dias, G.O., Porto, C., Simionatto, E., Stuker, C.Z., Dalcol, I.I.

“…The antimicrobial activity of the methanol extract from Solidago microglossa roots, essential oil from its aerial part and some isolated compounds was…”
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A novel strategy to predict clonal composites by jointly modeling spatial variation and genetic competition by Ferreira, Filipe M., Chaves, Saulo F.S., Bhering, Leonardo L., Alves, Rodrigo S., Takahashi, Elizabete K., Sousa, João E., Resende, Marcos D.V., Leite, Fernando P., Gezan, Salvador A., Viana, José M.S., Fernandes, Samuel B., Dias, Kaio O.G.

“…Biotic and abiotic stresses have been making it difficult to maintain the rates of genetic gains in forest tree breeding. Planting a mixture of genotypes or…”
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Employing factor analytic tools for selecting high‐performance and stable tropical maize hybrids by Chaves, Saulo F. S., Evangelista, Jeniffer S. P. C., Trindade, Roberto S., Dias, Luiz A. S., Guimarães, Paulo E., Guimarães, Lauro J. M., Alves, Rodrigo S., Bhering, Leonardo L., Dias, Kaio O. G.

“…Genotype‐by‐environment interaction (GEI) is a major concern in tropical maize breeding. Here, we used factor analytic mixed models (FAMM) to study GEI in a…”
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Analysis of repeated measures data through mixed models: An application in Theobroma grandiflorum breeding by Chaves, Saulo F. S., Alves, Rodrigo S., Dias, Luiz A. S., Alves, Rafael M., Dias, Kaio O. G., Evangelista, Jeniffer S. P. C.

“…Theobroma grandiflorum is a perennial fruit tree native to the Amazon region. As a perennial species with continuous production throughout the years, breeders…”
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Design rules to control the tensile strain in Ge μ-membranes fabricated from GeOI substrates for photonics applications by Dias, G. O., Rouchon, D., Widiez, J., Hartmann, J. M., Fowler, D., Chelnokov, A., Reboud, V., Gassenq, A., Tardif, S., Guiloy, K., Pauc, N., Escalante, J., Duchemin, I., Niquet, Y.-M, Rieutord, F., Calvo, V., Faist, J., Geiger, R., Zabel, T., Sigg, H.

“…Applying the right tensile strain to suspended membranes [1] can make Germanium a direct band-gap semiconductor, which is most promising way to low-threshold…”
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Valence-band splitting energies in wurtzite InP nanowires: Photoluminescence spectroscopy and ab initio calculations by Gadret, E. G., Dias, G. O., Dacal, L. C. O., de Lima, M. M., Ruffo, C. V. R. S., Iikawa, F., Brasil, M. J. S. P., Chiaramonte, T., Cotta, M. A., Tizei, L. H. G., Ugarte, D., Cantarero, A.

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On-chip polychromatic visible light emitters obtained by 3D capillary force assembly by Cordeiro, Julien, Funfschilling, Fabien, Lecarme, Olivier, Dias, Guilherme Osvaldo, Picard, Emmanuel, Peyrade, David

“…•Three-dimensional particle structures were built from a multi-color (red, green and blue) colloidal suspension using capillary for assembly.•Optical response…”
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Efficiency of selection per se and in single-cross hybrids for disease resistance in maize by Camargos, R.B., Von Pinho, R.G., Balestre, M., Ferreira, R.A.D.C., Dias, K.O.G., Pires, L.P.M., Souza, V.F.

“…Plant breeding strategies are constantly refined to increase efficiency during the selection process. Consequently, the aims of this study were to examine…”
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