Publications by authors named "Leticia A de C Lara"

Article Synopsis
  • Poaceae is a diverse plant family that includes key crops like forage grasses and sugarcane, which face challenges in genetic research due to their complex genomic structures.
  • The study focuses on developing a machine learning approach to improve the prediction of complex traits in these polyploid species, utilizing genotypic data from sugarcane and forage grasses.
  • The new predictive system outperformed traditional methods, showing over 50% improvements in accuracy, which could streamline breeding programs and enhance genetic advancements.
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Genetic variance is a central parameter in quantitative genetics and breeding. Assessing changes in genetic variance over time as well as the genome is therefore of high interest. Here, we extend a previously proposed framework for temporal analysis of genetic variance using the pedigree-based model, to a new framework for temporal and genomic analysis of genetic variance using marker-based models.

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Article Synopsis
  • The text refers to a correction made to a specific scientific article, identified by its DOI (Digital Object Identifier).
  • The correction likely addresses errors or inaccuracies found in the original publication.
  • The DOI provided helps locate the original article and the correction within the scholarly database for further reference.
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Genomic selection is an efficient approach to get shorter breeding cycles in recurrent selection programs and greater genetic gains with selection of superior individuals. Despite advances in genotyping techniques, genetic studies for polyploid species have been limited to a rough approximation of studies in diploid species. The major challenge is to distinguish the different types of heterozygotes present in polyploid populations.

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The aim of this study was to use multiple DNA markers for detection of QTLs related to resistance to white mold in an F2 population of common bean evaluated by the straw test method. The DNA from 186 F2 plants and from the parents was extracted for genotypic evaluation using SSR, AFLP, and SRAP markers. For phenotypic analysis, 186 F2:4 progenies and ten lines were evaluated, in a 14 × 14 triple lattice experimental design.

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