Análise da diversidade genética em dois plantios de Pinus caribaea var. hondurensis

Forest tree breeding activities in plantations with exotic species implies several instances of material selection where genetic variation can be affected. The objective of the work was to verify the genetic variability present in two plantations of Pinus caribaea var. hondurensis by microsatellite markers, initially designed for Pinus taeda fluorescent-labeled. Thus, 299 individuals were analyzed using eight polymorphic microsatellite markers. The results indicate that both plantations have adequate levels of genetic diversity that are representative of the Pinus genus. Through the Bayesian method, it was possible to detect two different population genetic structures (K = 2) between both plantations analyzed. In conclusion, this study suggests that microsatellites markers are useful tools to monitor genetic variation in genetic breeding programs. The genetic diversity estimated in both plantations is similar and typical for Pinus plantations, and as expected, there was a slight decrease in genetic variability in the commercial plantation in comparation with the base plantation.As atividades de melhoramento genético florestal em plantios com espécies exóticas envolvem várias instâncias de seleção de material, onde a variação genética pode ser afetada. O objetivo do trabalho foi verificar a variabilidade genética presente em duas plantações de Pinus caribaea var. hondurensis através de marcadores microssatélites, inicialmente desenhados para Pinus taeda. Assim, 299 indivíduos foram analisados utilizando oito marcadores microssatélites polimórficos. Os resultados indicam que ambas plantações têm níveis adequados de diversidade genética que são representativos do gênero Pinus. Através do método Bayesiano, foi possível detectar duas populações genéticas estruturadas (K = 2) entre as duas plantações analisadas. Em conclusão, este estudo sugere que os marcadores microssatélites são ferramentas úteis para monitorar a variação genética nos programas de melhoramento genético. A diversidade genética estimada em ambas plantações é semelhante e típica das plantações de Pinus, e como se esperava verificou-se uma ligeira diminuição da variabilidade genética na plantação comercial, em comparação com a plantação base

Transcriptome dynamics of rooting zone and leaves during in vitro adventitious root formation in eucalyptus nitens

Wood properties and agronomic traits associated with fast growth and frost tolerance make Eucalyptus nitens a valuable forest alternative. However, the rapid age-related decline in the adventitious root (AR) formation (herein, meaning induction, initiation, and expression stages) limits its propagation. We analyzed transcriptomic profile variation in leaves and stem bases during AR induction of microcuttings to elucidate the molecular mechanisms involved in AR formation. In addition, we quantified expressions of candidate genes associated with recalcitrance. We delimited the ontogenic phases of root formation using histological techniques and Scarecrow and Short-Root expression quantification for RNA sequencing sample collection. We quantified the gene expressions associated with root meristem formation, auxin biosynthesis, perception, signaling, conjugation, and cytokinin signaling in shoots harvested from 2- to 36-month-old plants. After IBA treatment, 702 transcripts changed their expressions. Several were involved in hormone homeostasis and the signaling pathways that determine cell dedifferentiation, leading to root meristem formation. In part, the age-related decline in the rooting capacity is attributable to the increase in the ARR1 gene expression, which negatively affects auxin homeostasis. The analysis of the transcriptomic variation in the leaves and rooting zones provided profuse information: (1) To elucidate the auxin metabolism; (2) to understand the hormonal and signaling processes involved; (3) to collect data associated with their recalcitrance.Instituto de BiotecnologíaFil: Ayala, Paula Gabriela. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste. Laboratorio de Biotecnología Aplicada y Genómica Funcional; ArgentinaFil: Ayala, Paula Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ayala, Paula Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concordia; ArgentinaFil: Acevedo, Raúl M. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste. Laboratorio de Biotecnología Aplicada y Genómica Funcional; ArgentinaFil: Acevedo, Raúl M. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Luna, Claudia Verónica. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste. Laboratorio de Biotecnología Aplicada y Genómica Funcional; ArgentinaFil: Luna, Claudia Verónica. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Acuña, Cintia Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: González, Ana M. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste. Laboratorio de Biotecnología Aplicada y Genómica Funcional; ArgentinaFil: González, Ana M. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sansberro, Pedro Alfonso. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste. Laboratorio de Biotecnología Aplicada y Genómica Funcional; ArgentinaFil: Sansberro, Pedro Alfonso. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Transcriptome survey of Patagonian southern beech Nothofagus nervosa (= N. Alpina): assembly, annotation and molecular marker discovery

Nothofagus nervosa is one of the most emblematic native tree species of Patagonian temperate forests. Here, the shotgun RNA-sequencing (RNA-Seq) of the transcriptome of N. nervosa, including de novo assembly, functional annotation, and in silico discovery of potential molecular markers to support population and associations genetic studies, are described.Fil: Torales, Susana Leonor. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; ArgentinaFil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pomponio, Maria Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; ArgentinaFil: Fernandez, Paula Del Carmen. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Acuña, Cintia Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Marchelli, Paula Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. ArgentinaFil: Gonzalez, Sergio Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Azpilicueta, María M. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. ArgentinaFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Gallo, Leonardo A. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentin

Identification of single nucleotide polymorphisms [SNPs] at candidate genes involved in abiotic stress in two Prosopis species and hybrids

Aim of the study: Identify and compare SNPs on candidate genes related to abiotic stress in Prosopis chilensis, Prosopis flexuosa and interspecific hybrids Area of the study: Chaco árido, Argentina. Material and Methods: Fragments from 6 candidate genes were sequenced in 60 genotypes. DNA polymorphisms were analyzed. Main Results: The analysis revealed that the hybrids had the highest rate of polymorphism, followed by P. flexuosa and P. chilensis, the values found are comparable to other forest tree species. Research highlights: This approach will help to study genetic diversity variation on natural populations for assessing the effects of environmental changes.Fil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Lopez Lauenstein, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fisiología y Recursos Genéticos Vegetales; ArgentinaFil: Torales, Susana Leonor. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; ArgentinaFil: Pomponio, Maria Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentin

Assessment of eucalypts wood lignin content by analytical pyrolysis, comparison with Klason and total lignin contents

Analytical pyrolysis can be used to determine the lignin content (Py-lignin) in eucalypt woods with a precision (0.37%) similar to the wet reference methods. Good correlations were found between the Py-lignin results and Klason (94%) and total lignin contents (95%). Besides apparent species-specific deviations, an average difference of 1.3% compared to the total lignin content was observed, well below the 3.9% difference reported for softwoods (guaiacyl lignin). Since Eucalyptus has more syringyl (S) than guaiacyl (G) units, this suggests that S units are overestimated in comparison to G units by analytical pyrolysis, in line with previous findings for different degradation methods, including pyrolysis.Instituto de BiotecnologíaFil: Alves, Ana. Universidade de Lisboa. Instituto Superior de Agronomia. Centro de Estudos Florestais; PortugalFil: Cisneros, Esteban F. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; ArgentinaFil: Balmelli, Gustavo. Instituto Nacional de Investigación Agropecuaria (INIA). Estación Experimental del Norte. Programa Nacional de Investigación en producción Forestal; UruguayFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Marcucci Poltri, Susana Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rodrigues, Jose. Universidade de Lisboa. Instituto Superior de Agronomia. Centro de Estudos Florestais; Portuga

Prediction of the extractives content of Eucalyptus globulus wood using NIRbased PLS-R models. Influence of spectral range and preprocessing on the percentage of outliers detected

Eucalyptus globulus is an important pulpwood source due to favorable wood characteristics, including low extractive content. However, there is significant tree-to-tree variation that can be exploited in breeding. This requires screening a large number of samples, which NIR and PLS-R make possible. Models are typically developed for a specific set of samples prepared in the same way. The question is: how well these models predict samples that are different from the ones used in the model. Models developed to determine the extractive content of Eucalyptus globulus wood from Australia were used to E. globulus wood from Argentina, which differed in age and sample preparation. The main difference between spectra of the two origins was in the OH combination band, despite the fact that samples were dried identically. Due to this difference, models that included the O-H band assigned above 73% of the spectra as outliers regardless of preprocessing, whereas models that did not include the O-H band assigned fewer spectra as outliers. The differences in the OH band were attributed primarily to differences in particle size and extractive content, rather than to differences in humidity content. However, all models predict similar results for all samples, including outliers.Fil: Simoes, R. Universidade de Lisboa. Instituto Superior de Agronomía. Centro de Estudos Florestais; PortugalFil: Alves, A. Universidade de Lisboa. Instituto Superior de Agronomía. Centro de Estudos Florestais; PortugalFil: Pathauer, Pablo Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; ArgentinaFil: Palazzini, Dino A. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentino. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rodrigues, J. Universidade de Lisboa. Instituto Superior de Agronomía. Centro de Estudos Florestais; Portuga

Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers

We investigated the impact of combining the pedigree- and genomic-based relationship matrices in a multiple-trait individual-tree mixed model (a.k.a., multiple-trait combined approach) on the estimates of heritability and on the genomic correlations between growth and stem straightness in an open-pollinated Eucalyptus grandis population. Additionally, the added advantage of incorporating genomic information on the theoretical accuracies of parents and offspring breeding values was evaluated. Our results suggested that the use of the combined approach for estimating heritabilities and additive genetic correlations in multiple-trait evaluations is advantageous and including genomic information increases the expected accuracy of breeding values. Furthermore, the multiple-trait combined approach was proven to be superior to the single-trait combined approach in predicting breeding values, in particular for low-heritability traits. Finally, our results advocate the use of the combined approach in forest tree progeny testing trials, specifically when a multiple-trait individual-tree mixed model is considered.Inst. de Recursos BiológicosFil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: El-Kassaby, Yousry A. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; CanadaFil: Muñoz, Facundo. Institut National de la Recherche Agronomique . Unité Amélioration, Génétique et Physiologie Forestières; FranciaFil: Garcia, Martin Nahuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Villalba, Pamela Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Klapste, Jaroslav. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canada. Czech University of Life Sciences. Faculty of Forestry and Wood Sciences. Department of Genetics and Physiology of Forest Trees; República ChecaFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentin

ddRADseq‑mediated detection of genetic variants in sugarcane

Sugarcane (Saccharum sp.), a world-wide known feedstock for sugar production, bioethanol, and energy, has an extremely complex genome, being highly polyploid and aneuploid. A double-digestion restriction site-associated DNA sequencing protocol (ddRADseq) was tested in four commercial sugarcane hybrids and one high-fbre biotype for the detec tion of single nucleotide polymorphisms (SNPs). In this work we tested two Illumina sequencing platforms, read size (70 vs. 150 bp), diferent sequencing coverage per individual (medium and high coverage), and single-reads versus paired-end reads. We also explored diferent variant calling strategies (with and without reference genome) and fltering schemes [com bining two minor allele frequencies (MAFs) with three depth of coverage thresholds]. For the discovery of a large number of novel SNPs in sugarcane, we recommend longer size and paired-end reads, medium sequencing coverage per individual and Illumina platform NovaSeq6000 for a cost-efective approach, and flter parameters of lower MAF and higher depth coverages thresholds. Although the de novo analysis retrieved more SNPs, the reference-based method allows downstream characterization of variants. For the two best performing matrices, the number of SNPs per chromosome correlated positively with chromosome length, demonstrating the presence of variants throughout the genome. Multivariate comparisons, with both matrices, showed closer relationships among commercial hybrids than with the high-fbre biotype. Functional analysis of the SNPs demonstrated that more than half of them landed within regulatory regions, whereas the other half afected cod ing, intergenic and intronic regions. Allelic distances values were lower than 0.07 when analysing two replicated genotypes, confrming the protocol robustness.Fil: Molina, Catalina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Aguirre, Natalia Cristina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Vera, Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Filippi, Carla Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Puebla, Andrea Fabiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Acevedo, Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentin

Characterization of genetic diversity in accessions of prunus salicina lindl : keeping fruit flesh color ideotype while adapting to water stressed environments

The genetic diversity of 14 Japanese plum (Prunus salicina Lindl) landraces adapted to an ecosystem of alternating flooding and dry conditions was characterized using neutral simple sequence repeat (SSR) markers. Twelve SSRs located in six chromosomes of the Prunus persica reference genome resulted to be polymorphic, thus allowing identification of all the evaluated landraces. Differentiation between individuals was moderate to high (average shared allele distance (DAS) = 0.64), whereas the genetic diversity was high (average indices polymorphism information content (PIC) = 0.62, observed heterozygosity (Ho) = 0.51, unbiased expected heterozygosity (uHe) = 0.70). Clustering and genetic structure approaches grouped all individuals into two major groups that correlated with flesh color. This finding suggests that the intuitive breeding practices of growers tended to select plum trees according to specific phenotypic traits. These neutral markers were adequate for population genetic studies and cultivar identification. Furthermore, we assessed the SSR flanking genome regions (25 kb) in silico to search for candidate genes related to stress resistance or associated with other agronomic traits of interest. Interestingly, at least 26 of the 118 detected genes seem to be related to fruit quality, plant development, and stress resistance. This study suggests that the molecular characterization of specific landraces of Japanese plum that have been adapted to extreme agroecosystems is a useful approach to localize candidate genes which are potentially interesting for breeding.Instituto de BiotecnologíaFil: Acuña, Cintia Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rivas, Juan Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Brambilla, Silvina Maricel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Cerrillo, Teresa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Delta del Paraná; ArgentinaFil: Frusso, Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; ArgentinaFil: Garcia, Martin Nahuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Villalba, Pamela Victoria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Aguirre, Natalia Cristina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sabio Y Garcia, Julia Verónica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Martinez, Maria Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Single - step genomic prediction of Eucalyptus dunnii using different identity by descent and identity by state relation ship matrices

Eucalyptus L’Hér. (Myrtaceae) is the most valuable and globally planted forest tree genus. Fast growth, adaptability to a broad diversity of tropical and subtropical regions, combined with versatile wood properties for energy, solid products, pulp, and paper have warranted their outstanding position in current world forestry (de Lima et al. 2019). Eucalyptus dunnii Maiden (hereafter E. dunnii) has become increasingly used in commercial afforestation due to its combined good performance for growth, stem straightness, and frost tolerance, together with suitable wood density and pulp yield. In a broad sense, genomic selection (GS) is a family of statistical methods developed for predicting the breeding values of nonphenotyped individuals with the assistance of a large number of molecular markers widespread distributed throughout the genome (Meuwissen et al. 2001). These methods exploit cosegregation between markers and quantitative trait loci (QTL) in linkage disequilibrium (LD). In forest trees, GS is of particular benefit due to the extended breeding cycles caused by delayed reproductive maturity and the need for early selection of traits that express late in life (Mphahlele et al. 2020). In this context, GS has a potentially substantial impact on the rate of genetic gain by increasing the intensity and accuracy of selection and, particularly, by shortening the generational interval (Grattapaglia et al. 2018). The genomic best linear unbiased prediction (GBLUP) is one of the most commonly GS methods. It is basically a variant of the standard BLUP method (hereafter ABLUP, cf. Henderson 1984), where the pedigree-based numerator relationship matrix (Amatrix) is replaced by a genomic relationship matrix (G-matrix, e.g., Habier et al. 2013). Many empirical studies with forest tree species have shown that GBLUP is a very promising approach for tree breeding (e.g., Mphahlele et al. 2020; Resende et al. 2017; Lenz et al. 2019). However, to our knowledge, only two of them have directly investigated the efficiency of genomic prediction using only genotyped trees in E. dunnii through GBLUP (Naidoo et al. 2018; Jones et al. 2019).Fil: Jurcic, Esteban J. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Villalba, Pamela Victoria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pathauer, Pablo Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; ArgentinaFil: Palazzini, Dino A. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Oberschelp, Gustavo Pedro Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concordia; ArgentinaFil: Harrand, Leonel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concordia; ArgentinaFil: Garcia, Martin Nahuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Aguirre, Natalia Cristina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Acuña, Cintia Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Martinez, Maria Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rivas, Juan Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cisneros, Esteban F. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales; ArgentinaFil: Lopez, Juan Adolfo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bella Vista; ArgentinaFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Munilla, Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin