Zobrazeno 1 - 10 of 11 pro vyhledávání: '"Bettina Lado"'
1
Akademický článek
Exploration of Strawberry Fruit Quality During Harvest Season Under a Semi-Forcing Culture with Plants Nursed Without Chilling
Autor: Paula Pedrozo, Bettina Lado, Ana Inés Moltini, Esteban Vicente, Joanna Lado
Publikováno v: Plants, Vol 13, Iss 21, p 3052 (2024)
Strawberry, a profitable crop, adapts well to diverse environments. This study evaluated the stability of fruit quality in different strawberry varieties produced as green plants without chilling during the harvest season in northern Uruguay. The foc
Externí odkaz: https://doaj.org/article/36b862e6c45c496394d4540e13b9ad46
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2
Akademický článek
Training Population Optimization for Genomic Selection
Autor: Inés Berro, Bettina Lado, Rafael S. Nalin, Martin Quincke, Lucía Gutiérrez
Publikováno v: The Plant Genome, Vol 12, Iss 3, Pp n/a-n/a (2019)
Core Ideas Training populations can be optimized for specific testing populations. Optimized training populations are smaller, more related, and more predictive. Stratified sampling with a relationship matrix weighted by marker effect is optimal. The
Externí odkaz: https://doaj.org/article/7023ff57e599415b86f80b11f9f4f54c
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3
Akademický článek
Strategies for Selecting Crosses Using Genomic Prediction in Two Wheat Breeding Programs
Autor: Bettina Lado, Sarah Battenfield, Carlos Guzmán, Martín Quincke, Ravi P. Singh, Susanne Dreisigacker, R. Javier Peña, Allan Fritz, Paula Silva, Jesse Poland, Lucía Gutiérrez
Publikováno v: The Plant Genome, Vol 10, Iss 2 (2017)
The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to co
Externí odkaz: https://doaj.org/article/a535d8fad7c1461f9ab1c20314725ffe
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4
QTL mapping of resistance to Ug99 and other stem rust pathogen races in bread wheat
Autor: Silvia Germán, Sridhar Bhavani, Richard García, Bettina Lado, Mandeep S. Randhawa, Monika Kavanová, Paula Silva, Martín Quincke, Ariel J. Castro, Silvina Baraibar, Lucía Gutiérrez
Publikováno v: Molecular Breeding. 40
Most wheat cultivars planted worldwide are susceptible to the stem rust Ug99 race group. To prepare for the potential spread of these races into South America, we aimed to identify genomic regions responsible for resistance to Ug99 race group in germ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d5d10d0fff7aa2efa1d237de0c82f9e
https://doi.org/10.1007/s11032-020-01153-5
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5
Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality
Autor: Daniel Vázquez, Bettina Lado, Ignacio Aguilar, Paula Silva, Martín Quincke, Lucía Gutiérrez
Publikováno v: TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Key Message Multi-trait genomic prediction models are useful to allocate available resources in breeding programs by targeted phenotyping of correlated traits when predicting expensive and labor-intensive quality parameters. Abstract Multi-trait geno
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f5d099f09a025a682108c161626a09
https://doi.org/10.1007/s00122-018-3186-3
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6
Training population optimization for genomic selection
Autor: Lucía Gutiérrez, Ines Berro, Bettina Lado, Rafael S. Nalin, Martín Quincke
Publikováno v: Ainfo
Instituto Nacional de Investigación Agropecuaria
instacron:Instituto Nacional de Investigación Agropecuaria
The Plant Genome, Vol 12, Iss 3, Pp n/a-n/a (2019)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
The effectiveness of genomic selection in breeding programs depends on the phenotypic quality and depth, the prediction model, the number and type of molecular markers, and the size and composition of the training population (TR). Furthermore, popula
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33c20b4380fd9b7784c02f188ec22cd7
http://www.ainfo.inia.uy/consulta/busca?b=pc&id=60511&biblioteca=vazio&busca=60511&qFacets=60511
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8
Strategies for Selecting Crosses Using Genomic Prediction in Two Wheat Breeding Programs
Autor: Susanne Dreisigacker, Lucía Gutiérrez, Jesse Poland, Bettina Lado, Carlos Guzmán, Martín Quincke, Sarah Battenfield, Paula Silva, R. Javier Peña, Ravi P. Singh, Allan K. Fritz
Publikováno v: The Plant Genome, Vol 10, Iss 2 (2017)
The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::633c1c6adbd45204bd4215eca0104e7c
https://pubmed.ncbi.nlm.nih.gov/28724066
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9
Increased Genomic Prediction Accuracy in Wheat Breeding Through Spatial Adjustment of Field Trial Data
Autor: Bettina Lado, Alejandro del Pozo, Jarislav von Zitzewitz, Jesse Poland, Luis Inostroza, François Belzile, Martín Quincke, Alejandra Rodriguez, Iván Matus, Marina Castro
Publikováno v: G3-GENES GENOMES GENETICS
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
G3: Genes|Genomes|Genetics
In crop breeding, the interest of predicting the performance of candidate cultivars in the field has increased due to recent advances in molecular breeding technologies. However, the complexity of the wheat genome presents some challenges for applyin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c5942ef02eba424013a2207fbeed81
https://doi.org/10.1534/g3.113.007807
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10
Ascertainment bias from imputation methods evaluation in wheat
Autor: Marina Castro, Sofía P. Brandariz, Bettina Lado, Iván Matus, Jarislav von Zitzewitz, Ariel J. Castro, Agustín González Reymúndez, Antonio Augusto Franco Garcia, Alejandro del Pozo, Lucía Gutiérrez, Marcos Malosetti, Martín Quincke
Publikováno v: BMC Genomics
BMC Genomics, 17(1)
BMC Genomics 17 (2016) 1
Background Whole-genome genotyping techniques like Genotyping-by-sequencing (GBS) are being used for genetic studies such as Genome-Wide Association (GWAS) and Genomewide Selection (GS), where different strategies for imputation have been developed.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4184a0bcbc9b91ee72986e8148341e
http://europepmc.org/articles/PMC5050639
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