Search Results - "Fritsche‐Neto, Roberto"

Optimizing quantitative trait loci introgression in elite rice germplasms: Comparing methods and population sizes to develop new recipients via stochastic simulations by Platten, John Damien, Fritsche‐Neto, Roberto

“…This study compared three strategies to develop new recipients for quantitative trait loci (QTL) introgression (background recovery [BG], selective sweep [SS]…”
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Genomic Prediction of Autogamous and Allogamous Plants by SNPs and Haplotypes by Matias, Filipe Inacio, Galli, Giovanni, Correia Granato, Italo Stefanine, Fritsche‐Neto, Roberto

“…The implementation of single‐nucleotide polymorphism (SNP)‐based genomic selection has demonstrated great predictive potential in plants. However, its…”
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SoilType: An R package to interplay soil characterization in plant science by Fritsche‐Neto, Roberto

“…Yield is a complex quantitative trait whose expression is sensitive to environmental stimuli. Therefore, soil‐related information can increase the predictive…”
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Using public databases for genomic prediction of tropical maize lines by Pinho Morais, Pedro Patric, Akdemir, Deniz, Braatz de Andrade, Luciano Rogério, Jannink, Jean‐Luc, Fritsche‐Neto, Roberto, Borém, Aluízio, Couto Alves, Filipe, Hottis Lyra, Danilo, Granato, Ítalo Stefanine Correia

“…In this paper, the aims were (a) to test the usefulness of using genomic and phenotypic information from public databases (open access) to predict genetic…”
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A low‐cost greenhouse‐based high‐throughput phenotyping platform for genetic studies: A case study in maize under inoculation with plant growth‐promoting bacteria by Yassue, Rafael Massahiro, Galli, Giovanni, Borsato, Ronaldo, Cheng, Hao, Morota, Gota, Fritsche‐Neto, Roberto

“…Greenhouse‐based high‐throughput phenotyping (HTP) presents a useful approach for studying novel plant growth‐promoting bacteria (PGPB). Despite the potential…”
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Genome‐wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth‐related traits in maize under plant growth‐promoting bacteria inoculation by Massahiro Yassue, Rafael, Galli, Giovanni, James Chen, Chun‐Peng, Fritsche‐Neto, Roberto, Morota, Gota

“…Plant growth‐promoting bacteria (PGPB) may be of use for increasing crop yield and plant resilience to biotic and abiotic stressors. Using hyperspectral…”
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Genetic Vulnerability and the Relationship of Commercial Germplasms of Maize in Brazil with the Nested Association Mapping Parents by Andrade, Luciano Rogério Braatz de, Fritsche Neto, Roberto, Granato, Ítalo Stefanine Correia, Sant'Ana, Gustavo César, Morais, Pedro Patric Pinho, Borém, Aluízio

“…A few breeding companies dominate the maize (Zea mays L.) hybrid market in Brazil: Monsanto® (35%), DuPont Pioneer® (30%), Dow Agrosciences® (15%), Syngenta®…”
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GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen by Santos, Adriano dos, Amaral Júnior, Antônio Teixeira do, Kurosawa, Railan do Nascimento Ferreira, Gerhardt, Ismael Fernando Schegoscheski, Fritsche Neto, Roberto

“…ABSTRACT Nitrogen is essential for sustaining life on the planet, and it is the most important nutrient for obtaining high agricultural production. However,…”
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Expected Genotype Quality and Diploidized Marker Data from Genotyping‐by‐Sequencing of Urochloa spp. Tetraploids by Matias, Filipe Inácio, Xavier Meireles, Karem Guimarães, Nagamatsu, Sheila Tiemi, Lima Barrios, Sanzio Carvalho, Borges do Valle, Cacilda, Carazzolle, Marcelo Falsarella, Fritsche‐Neto, Roberto, Endelman, Jeffrey B.

“…Core Ideas Introduced concept of expected genotype quality (EGQ) and software to calculate it Provided read depth guidelines for GBS in tetraploids Developed…”
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Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize by Costa-Neto, Germano, Crossa, Jose, Fritsche-Neto, Roberto

“…Quantitative genetics states that phenotypic variation is a consequence of the interaction between genetic and environmental factors. Predictive breeding is…”
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Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data by Yassue, Rafael Massahiro, Galli, Giovanni, Fritsche‐Neto, Roberto, Morota, Gota

“…Recent technological advances in high‐throughput phenotyping have created new opportunities for the prediction of complex traits. In particular, phenomic…”
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EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture by Costa-Neto, Germano, Galli, Giovanni, Carvalho, Humberto Fanelli, Crossa, José, Fritsche-Neto, Roberto

“…Envirotyping is an essential technique used to unfold the nongenetic drivers associated with the phenotypic adaptation of living organisms. Here, we introduce…”
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The accuracy of different strategies for building training sets for genomic predictions in segregating soybean populations by Mendonça, Leandro de Freitas, Fritsche‐Neto, Roberto

“…The design of the training set is a key factor in the success of the genomic selection approach. The nature of line inclusion in soybean [Sorghum bicolor (L.)…”
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The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data by Crossa, Jose, Fritsche-Neto, Roberto, Montesinos-Lopez, Osval A, Costa-Neto, Germano, Dreisigacker, Susanne, Montesinos-Lopez, Abelardo, Bentley, Alison R

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Multi-objective optimized genomic breeding strategies for sustainable food improvement by Akdemir, Deniz, Beavis, William, Fritsche-Neto, Roberto, Singh, Asheesh K, Isidro-Sánchez, Julio

“…The purpose of breeding programs is to obtain sustainable gains in multiple traits while controlling the loss of genetic variation. The decisions at each…”
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Elite germplasm introduction, training set composition, and genetic optimization algorithms effect on genomic selection‐based breeding programs by Fritsche‐Neto, Roberto, Yassue, Rafael Massahiro, da Silva, Allison Vieira, Prado, Melina, DoVale, Júlio César

“…In genomic selection (GS), the prediction accuracy is heavily influenced by the composition of the training set (TS). Currently, two primary strategies for…”
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Improving the identification of haploid maize seeds using convolutional neural networks by Sabadin, Felipe, Galli, Giovanni, Borsato, Ronaldo, Gevartosky, Raysa, Campos, Gabriela Romêro, Fritsche‐Neto, Roberto

“…A critical step toward the success of the doubled haploid (DH) technique is the haploid identification within induction crosses. The R1‐nj marker is the…”
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On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids by Galli, Giovanni, Alves, Filipe Couto, Morosini, Júlia Silva, Fritsche-Neto, Roberto

“…Genome-wide association studies (GWAS) is one of the most popular methods of studying the genetic control of traits. This methodology has been intensely…”
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Optimizing multi-environment trials in the Southern US Rice belt via smart-climate-soil prediction-based models and economic importance by Prado, Melina, Famoso, Adam, Guidry, Kurt, Fritsche-Neto, Roberto

“…Rice breeding programs globally have worked to release increasingly productive and climate-smart cultivars, but the genetic gains have been limited for some…”
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Realized genetic gains via recurrent selection in a tropical maize haploid inducer population and optimizing simultaneous selection for the next cycles by Fritsche‐Neto, Roberto, Sabadin, Felipe, DoVale, Júlio César, Borges, Karina Lima Reis, de Souza, Pedro Henrique, Crossa, Jose, Garbuglio, Deoclécio Domingos

“…Abstract Plant breeders widely use recurrent selection schemes to increase the frequency of favorable alleles for quantitative traits in a population. Although…”
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