ABSTRACT
RESUMEN En 2005 se inició un programa de mejoramiento de arveja para aumentar la producción en cantidad y calidad en la Facultad de Ciencias Agrarias (FCA), Universidad Nacional de Rosario (UNR). Los primeros pasos fueron reunir una colección activa de germoplasma de todo el mundo y analizar la variabilidad genética a través de rasgos morfo-agronómicos y moleculares. En 2014, el Instituto Nacional de Tecnología Agropecuaria (INTA) y la FCAUNR unieron esfuerzos para promover el desarrollo local de genotipos de arveja adaptados a la región. Este programa, utilizando metodologías convencionales, ha obtenido hasta el momento una nueva variedad comercial (Primogénita FCA-INTA) de color de cotiledón verde, semi-áfila, con alta adaptación a las condiciones agroecológicas locales y alto potencial de rendimiento. El mejoramiento genético, sin embargo, es un proceso lento. El desarrollo de nuevas variedades requiere una década o más utilizando metodologías tradicionales, por lo que se propusieron diferentes alternativas para la reducción de este período. Los haploides duplicados y el cultivo in vitro han sido algunas de las metodologías desarrolladas, sin embargo, en legumbres no se han podido implementar de manera eficiente en los programas de mejoramiento. En este contexto, Speed Breeding surge como una tecnología que permite incrementar la eficiencia de los programas, reduciendo los costos y el trabajo requerido.
ABSTRACT A pea breeding program to increase production in quantity and quality was started in 2005 in the College of Agrarian Sciences (FCA), National University of Rosario (UNR). The first steps were to gather an active collection of germplasm from around the world and to analyze genetic variability through morpho-agronomic and molecular traits in order to set objectives. In 2014, the National Institute of Agropecuarian Technology (INTA) and the FCAUNR, joined forces to unite inter-institutional efforts for promoting the local development of pea genotypes adapted to the region. This program, using conventional methodologies, has so far obtained a new commercial line (Primogénita FCA-INTA) of green cotyledons, semileafless, with high adaptation to local agro ecological conditions and high yield potential. Breeding, nevertheless, is a slow process. Developing new pea varieties usually takes a decade or more when using traditional methodologies; thus, different alternatives were proposed for the reduction of this period. Doubled haploids and in vitro culture have been some of the methodologies developed; in pulses, however, they have not been efficiently implemented in breeding programs. In this context, Speed Breeding emerges as a technology that allows increasing the efficiency of the programs, while reducing costs and the required labor.
ABSTRACT
BACKGROUND: Wheat is one of the most important crops cultivated all over the world. New high-yielding cultivars that are more resistant to fungal diseases have been permanently developed. The present study aimed at the possibility of accelerating the process of breeding new cultivars, resistant to eyespot, by using doubled haploids (DH) system supported by marker-assisted selection. RESULTS: Two highly resistant breeding lines (KBP 0916 and KBH 4942/05) carrying Pch1 gene were crossed with the elite wheat genotypes. Hybrid plants of early generations were analyzed using endopeptidase EpD1 and two SSR markers linked to the Pch1 locus. Selected homozygous and heterozygous genotypes for the Pch1-linked EpD1b allele were used to produce haploid plants. Molecular analyses were performed on haploids to identify plants possessing Pch1 gene. Chromosome doubling was performed only on haploid plants with Pch1 gene. Finally, 65 DH lines carrying eyespot resistance gene Pch1 and 30 lines without this gene were chosen for the eyespot resistance phenotyping in a field experiment. CONCLUSIONS: Results of the experiment confirmed higher resistance to eyespot of the genotypes with Pch1 in comparison to those without this gene. This indicates the efficiency of selection at the haploid level.