Publications by authors named "Sanzio Barrios"
Article Synopsis
- The study presents the highest-density genetic map for Urochloa humidicola, highlighting its genetic organization, reproductive methods, and species origin, which are crucial for breeding and research on tropical forage grasses.
- Urochloa humidicola, an essential tropical pasture grass for poorly drained soils, presents challenges in genetic analysis due to its complex genome and reproduction through apomixis, complicating marker-assisted selection (MAS).
- The researchers created a detailed linkage map using SNP markers, revealing key genetic information about the species and identifying genetic traits related to apomixis, which could aid in developing better forage grasses.
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.
A Semi-Automated SNP-Based Approach for Contaminant Identification in Biparental Polyploid Populations of Tropical Forage Grasses.
Front Plant Sci
October 2021
Artificial hybridization plays a fundamental role in plant breeding programs since it generates new genotypic combinations that can result in desirable phenotypes. Depending on the species and mode of reproduction, controlled crosses may be challenging, and contaminating individuals can be introduced accidentally. In this context, the identification of such contaminants is important to avoid compromising further selection cycles, as well as genetic and genomic studies.
View Article and Find Full Text PDFForage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) and computer vision are crucial to increase the efficiency of forage breeding programs, to support high-throughput phenotyping (HTP), aiming to estimate parameters correlated to important traits.
View Article and Find Full Text PDFMonitoring biomass of forages in experimental plots and livestock farms is a time-consuming, expensive, and biased task. Thus, non-destructive, accurate, precise, and quick phenotyping strategies for biomass yield are needed. To promote high-throughput phenotyping in forages, we propose and evaluate the use of deep learning-based methods and UAV (Unmanned Aerial Vehicle)-based RGB images to estimate the value of biomass yield by different genotypes of the forage grass species Jacq.
View Article and Find Full Text PDFCorrigendum: Genetic Mapping With Allele Dosage Information in Tetraploid (Stapf) R. D. Webster Reveals Insights Into Spittlebug ( Berg) Resistance.
Front Plant Sci
June 2019
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.
Genetic Mapping With Allele Dosage Information in Tetraploid (Stapf) R. D. Webster Reveals Insights Into Spittlebug ( Berg) Resistance.
Front Plant Sci
February 2019
(Stapf) R. D. Webster is one of the most important African forage grasses in Brazilian beef production.
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