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1
Correction: Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long‑term genetic gain

von da Silva Viana, Jesimiel ; DoVale, Júlio César ; Fritsche-Neto, Roberto

Theoretical and Applied Genetics: International Journal of Plant Breeding Research. 139(3)
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2
Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long-term genetic gain

von da Silva Viana, Jesimiel ; DoVale, Júlio César ; Fritsche-Neto, Roberto

Theoretical and Applied Genetics: International Journal of Plant Breeding Research. 139(2)
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3
Genome-wide association study in a diverse grapevine collection provides insights into the genetic basis of berry size and cluster architecture traits.

von Geovani Luciano de Oliveira ; Felipe Roberto Francisco ; Yohans Alves de Moura ; et al.

PLoS ONE, Vol 21, Iss 3, p e0343491 (2026)

Schlagworte: Medicine; Science
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4
The effect of haplotype size on genomic selection accuracy and epistasis: An empirical study in rice

von Maria Montiel ; Jose Moreno‐Amores ; Jomar Punzalan ; et al.

The Plant Genome, Vol 18, Iss 4, Pp n/a-n/a (2025)

Schlagworte: Plant culture; SB1-1110; Genetics; QH426-470
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5
110 years of rice breeding at LSU: realized genetic gains and future optimization

von da Silva, Allison Vieira ; Famoso, Adam ; Linscombe, Steve ; et al.

Theoretical and Applied Genetics: International Journal of Plant Breeding Research. 138(7)
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6
Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software

von Crossa, José ; Martini, Johannes W.R. ; Vitale, Paolo ; et al.

In Trends in Plant Science July 2025 30(7):756-774
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7
Machine learning algorithms translate big data into predictive breeding accuracy

von Crossa, José ; Montesinos-Lopez, Osval A. ; Costa-Neto, Germano ; et al.

In Trends in Plant Science February 2025 30(2):167-184
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8
Hydrogel Soil Conditioner as an Input for Ornamental Sunflower Production Under Saline Water Irrigation: An Alternative Use for Low-Quality Water

von Patricia Angélica Alves Marques ; Juliana Bezerra Martins ; José Amilton Santos Júnior ; et al.

AgriEngineering, Vol 7, Iss 10, p 344 (2025)

Schlagworte: floriculture; irrigation management; semi-arid agriculture; salt stress; Agriculture (General); S1-972; Engineering (General). Civil engineering (General); TA1-2040
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9
Unveiling early-stage responses of sensitive traits to water stress in tropical maize: a characterization study of a public panel

von Machado, Ingrid Pinheiro ; de Pontes, Fernanda Carla Ferreira ; de Souza Silveira, Maria Valnice ; et al.

Euphytica: International Journal of Plant Breeding. 221(1)
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10
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11
Optimizing the selection of quantitative traits in plant breeding using simulation

von Rafael Augusto Vieira ; Ana Paula Oliveira Nogueira ; Roberto Fritsche-Neto

Frontiers in Plant Science, Vol 16 (2025)

Schlagworte: genetic gain; genetic diversity; simulation; genomic selection; prediction accuracy; selection response; Plant culture; SB1-1110
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12
Combining genotyping approaches improves resolution for association mapping: a case study in tropical maize under water stress conditions

von Fernanda Carla Ferreira de Pontes ; Ingrid Pinheiro Machado ; Maria Valnice de Souza Silveira ; et al.

Frontiers in Plant Science, Vol 15 (2025)

Schlagworte: SNP-array; genotyping by sequencing; simulated genome; GWAS; genotyping platforms; candidate genes; Plant culture; SB1-1110
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13
Evaluating the effectiveness of selection indices and their genomic prediction using environmental and historical rice data

von Crossa, José ; Cerón-Rojas, J Jesus ; Montesinos-López, Abelardo ; et al.

G3: Genes, Genomes, Genetics ; volume 15, issue 6 ; ISSN 2160-1836
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14
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15
Deciphering the genetic basis of salinity tolerance in a diverse panel of cultivated and wild soybean accessions by genome-wide association mapping

von Pruthi, Rajat ; Chaudhary, Chanderkant ; Chapagain, Sandeep ; et al.

Theoretical and Applied Genetics: International Journal of Plant Breeding Research. 137(10)
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16
Comparing strategies for genomic predictions in interspecific biparental populations: a case study with the Rubus genus

von da Silva, Allison Vieira ; Prado, Melina ; Campos, Gabriela Romêro ; et al.

Euphytica: International Journal of Plant Breeding. 220(10)
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17
Genomic and population characterization of a diversity panel of dwarf and tall coconut accessions from the International Coconut Genebank for Latin America and Caribbean

von da Silva, Allison Vieira ; Costa, Emiliano Fernandes Nassau ; Diniz, Leandro Eugenio Cardamone ; et al.

Genetic Resources and Crop Evolution: An International Journal. 71(2):721-733
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18
Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance

von Melina Prado ; Adam Famoso ; Kurt Guidry ; et al.

Frontiers in Plant Science, Vol 15 (2024)

Schlagworte: target population of environments; market segments; genotype x environment; envirotyping; supervised learning; Plant culture; SB1-1110
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19
Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions

von Gabriela Romêro Campos ; Melina Prado ; Karina Lima Reis Borges ; et al.

Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)

Schlagworte: Medicine; Science
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20
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21
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22
Feature engineering of environmental covariates improves plant genomic-enabled prediction

von Osval A. Montesinos-López ; Leonardo Crespo-Herrera ; Carolina Saint Pierre ; et al.

Frontiers in Plant Science, Vol 15 (2024)

Schlagworte: genomic selection; plant breeding; environmental covariates; feature engineering; feature selection; Plant culture; SB1-1110
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23
Enviromic prediction is useful to define the limits of climate adaptation: A case study of common bean in Brazil

von Heinemann, Alexandre Bryan ; Costa-Neto, Germano ; Fritsche-Neto, Roberto ; et al.

In Field Crops Research 1 October 2022 286
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24
A divide-and-conquer approach for genomic prediction in rubber tree using machine learning

von Alexandre Hild Aono ; Felipe Roberto Francisco ; Livia Moura Souza ; et al.

Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)

Schlagworte: Medicine; Science
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25
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize

von Raysa Gevartosky ; Humberto Fanelli Carvalho ; Germano Costa-Neto ; et al.

BMC Plant Biology, Vol 23, Iss 1, Pp 1-20 (2023)

Schlagworte: Genomic prediction; Training population; Enviromics; Response to selection; Botany; QK1-989
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