The adoption of genomic selection (GS) in forest tree breeding allows shortening breeding cycles, increasing selection intensity, and improving the accuracy of breeding values, which translate into increased genetic gains. Therefore, the objective of this work was to design a breeding strategy incorporating GS in the Eucalyptus globulus improvement plan of the INIA.
Clonal propagation is extensively used in the Eucalyptus pulp industry in Uruguay. Mother plants are maintained in clonal minigardens and they constitute the source of cuttings that are harvested continuously and sent to shaded greenhouses for rooting. Environmental conditions within the minigarden are optimized for plant growth, but such conditions can also promote the emergence of pests and diseases which can affect the mother plants and impair cutting production.
Eucalyptus globulus Labill. is of great interest to the pulp industry. However, the species is highly susceptible to leaf spot caused by Teratosphaeria nubilosa and has a low rooting capacity. In order to overcome these limitations, INIA has been implementing a genetic improvement program for this species and the generation of interspecific hybrids. The strategy is based on the selection of E. globulus clones with high precocity or foliage turnover, since the adult foliage is more tolerant to T. nubilosa. In addition, controlled crosses of E. globulus and E. maidenii with E.
Genomic selection is becoming an efficient and effective tool to increase genetic gain per unit time in forest tree breeding. The single-step genomic best linear unbiased prediction (ssGBLUP) method has been widely used in forest trees because it can use the complete phenotypic and pedigree data, with the genotypic information of a subset of the population.
ABSTRACT.- Genome enabled prediction of complex traits aims to predict a measurable characteristic of an organism using their genetic information. In the present work we address diverse traits and organisms including Yeast growth, Wheat yield, Jersey bull fertility and various Holstein cattle milk-related traits. We benchmark several popular Machine Learning models:Bayesian and penalized linear regressions, kernel methods, and Decision Tree ensembles. Through exhaustive hyperparameter tuning we outperform state-of-the-art results in most datasets.
ABSTRACT.- Genome enabled prediction of complex traits aims to predict a measurable characteristic of an organism using their genetic information. In the present work we address diverse traits and organisms including Yeast growth, Wheat yield, Jersey bull fertility and various Holstein cattle milk-related traits. We benchmark several popular Machine Learning models: Bayesian and penalized linear regressions, kernel methods, and Decision Tree ensembles. Through exhaustive hyperparameter tuning we outperform state-of-the-art results in most datasets.
El ovino criollo del Uruguay es un recurso zoogenético localmente adaptado, registrado en el Sistema de Información sobre la Diversidad de los Animales Domésticos donde actualmente está catalogado en situación de riesgo (www.fao.org/dad-is). La raza, se originó en el siglo XVIII a partir de la llegada de ovinos procedentes de Buenos Aires, que descendían de los ovinos españoles introducidos durante la colonización.
El ovino criollo del Uruguay es un recurso zoogenético localmente adaptado, registrado en el Sistema de Información sobre la Diversidad de los Animales Domésticos donde actualmente está catalogado en situación de riesgo (www.fao.org/dad-is). Desde el año 2019, el Instituto Nacional de Investigación Agropecuaria (INIA) localizado en Las Brujas, departamento de Canelones, cuenta con una población de ovinos criollos compuesta por 101 animales.
The ectomycorrhizal fungi (ECM) of Uruguay have been relatively little studied and most of the knowledge about them comes from studies on cultivated exotic species, such as the commercial Eucalyptus and Pinus spp., and other ornamental species. The objective of this work is to make an approximation to the diversity of ECM fungi in native riparian forests in different geographical areas of Uruguay.
La frutilla es un producto tradicional de la horticultura del noroeste de Uruguay. El programa de mejoramiento genético de INIA busca obtener cultivares con calidad superior de fruta, resistencia a enfermedades y adaptadas a las condiciones del Uruguay. En este trabajo se planteó estudiar la identidad del clon avanzado de frutilla y confirmar si se trata de N25.1.