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Autor: Carolina Sansaloni
Taller: "Aprovechamiento De Los Atlas Moleculares De Maíz Y Trigo." Diciembre 2015
Carolina Sansaloni Cesar Petroli Jorge Franco Gordon Stephen Sebastian Raubach Sarah Hearne Kate Dreher (2015)
PROPÓSITO GENERAL DE APRENDIZAJE: Al finalizar el taller, los participantes serán capaces de utilizar los atlas moleculares de maíz y trigo para el estudio, conservac ión y aprovechamiento de la diversidad genética. A través de un taller se desarrollarán capacidades en los participantes para que aprovechen los atlas moleculares de maíz y trigo generados por el proyecto MasAgro-Biodiversidad; para lo cual se utilizará la exposición, demostraciones prácticas, análisis de casos y discusiones grupales. Se desarrollarán los siguientes ejes temáticos: 1. Fundamentos de la técnica de genotipificación por secuenciación (GbS) 2. An álisis de la diversidad genética para su conservación y aprovechamiento 3. Utilización de los atlas moleculares de maíz y trigo desarrollados por MasAgro - Biodiversidad
Dataset
M. Humberto Reyes-Valdés Juan Burgueño Carolina Sansaloni Thomas Payne Rosa Angela Pacheco Gil (2022)
Artículo
Crop Genebanks Optimization Relative Balance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROPS GENE BANKS WHEAT
Johannes Martini Fernando Henrique Toledo Carolina Sansaloni Jose Crossa Jaime Cuevas Sivakumar Sukumaran (2020)
The genetic diversity housed in germplasm banks may provide valuable contributions to breeding efforts. It is important to understand the best way to introduce this diversity into elite breeding materials. This files in this dataset provide phenotypic and genotypic data used to compare genomic prediction approaches and different cross-validation scenarios on a set of wheat families obtained from crosses between elite materials and diverse germplasm bank accessions. The linked top cross population (LTP) materials analyzed in the study were screened under yield potential, drought, and heat stress conditions.
Dataset
Taller: "Aprovechamiento De Los Atlas Moleculares De Maíz Y Trigo." Diciembre 2015
Carolina Sansaloni Cesar Petroli Jorge Franco Gordon Stephen Sebastian Raubach Sarah Hearne Kate Dreher (2015)
PROPÓSITO GENERAL DE APRENDIZAJE: Al finalizar el taller, los participantes serán capaces de utilizar los atlas moleculares de maíz y trigo para el estudio, conservac ión y aprovechamiento de la diversidad genética. A través de un taller se desarrollarán capacidades en los participantes para que aprovechen los atlas moleculares de maíz y trigo generados por el proyecto MasAgro-Biodiversidad; para lo cual se utilizará la exposición, demostraciones prácticas, análisis de casos y discusiones grupales. Se desarrollarán los siguientes ejes temáticos: 1. Fundamentos de la técnica de genotipificación por secuenciación (GbS) 2. An álisis de la diversidad genética para su conservación y aprovechamiento 3. Utilización de los atlas moleculares de maíz y trigo desarrollados por MasAgro - Biodiversidad
Dataset
Genetic and phenotypic data of Syn/Weebil recombinant inbred lines under drought and heat stresses
Caiyun Liu Sivakumar Sukumaran Carolina Sansaloni Susanne Dreisigacker Matthew Paul Reynolds (2019)
We studied a RIL population of 276 entries derived from a cross between SYN-D × Weebill 1. SYN-D (Croc 1/Aegilops Squarrosa (224)//Opata) is a synthetic derived hexaploid wheat with dark green broad leaves without wax. The RILs did not segregate for Rht-B1, Rht-D1, Ppd-A1, Ppd-D1, Vrn-A1, Vrn-A1, Vrn-D1, and Eps-D1 genes and showed a narrow range of phenology, which avoids the confounding effect of phenology to identify QTL that may otherwise be masked by crop development. The RILs population was phenotyped in a randomized lattice design with two replications under four environments -drought (2009-2010, D10), heat (2009-2010, H10), heat + drought (2011-2012 and 2012-2013, HD12 and HD13)- at the Campo Experimental Norman E. Borlaug (CENEB), CIMMYT’s experimental station at Ciudad Obregón, Sonora, Northwest Mexico (27.20°N, 109.54°W, 38 masl). Drought stress (D) was applied by normal planting (late November) with significantly reduced irrigation (total water supply < 200 mm); heat stress (H) was applied by late sowing (late February) with supplementary irrigation (total water supply > 700 mm) to avoid the effect of drought; the combined stress (H+D) was applied by delayed planting date (late February) with reduced irrigation (total water supply < 200 mm).
Dataset
Thomas Payne Carolina Sansaloni Ravi Singh Hans-Joachim Braun Susanne Dreisigacker (2019)
A total of 359 genotypes used in this study included three Ae. tauschii lines, 30 durum wheat lines, eight synthetic hexaploid wheat, 253 synthetic derivative lines, and 63 bread wheat lines. All entries were genotyped with the DArTseq® technology at the Genetic Analysis Service for Agriculture (SAGA) laboratory at CIMMYT in Mexico. The two types of markers are presented in two different files: rosyara_et_al_data_set_PAV.zip include data for Presence -Absence variation (PAV) and rosyara_et_al_data_set_SNP.zip includes data for Single nucleotide polymorphism (SNPs).
Dataset
Sustainable Wheat & Maize Production in Afghanistan (ACIAR funded, Project number: CIM/2011/026)
Susanne Dreisigacker Rajiv Sharma Eric Huttner Aziz Karimov Carolina Sansaloni Rosemary Shrestha Kai Sonder Hans-Joachim Braun (2019)
Since 2012, Australian support has resulted in the release of 23 wheat varieties by Afghanistan’s National Varietal Release Committee (NVRC). These varieties deliver both improved yield and disease tolerance. A 2015/16 farmer survey confirmed that farmers were indeed sharing seed with an average of three relatives/neighbours – although with no indication of how much seed was shared. This uncertainty regarding the adoption of new varieties has been intended to resolve by a recent DNA assessments of seed collected in 2015/16 that shows the general prevalence of the new varieties across 600 surveyed farms.
Dataset
Muhammad Massub Tehseen Fatma Aykut Tonk Ahmed Amri Carolina Sansaloni Ezgi Kurtulus Muhammad Salman Mubarik Kumarse Nazari (2022)
Artículo
Wheat Landraces Genetic Diversity SNP Markers Analysis of Molecular Variance AMOVA CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING DISCRIMINANT ANALYSIS GENETIC VARIATION GENETIC DISTANCE GENETIC IMPROVEMENT GENETIC MARKERS HEXAPLOIDY LANDRACES POPULATION STRUCTURE SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM WHEAT
Worldwide selection footprints for drought and heat in bread wheat (Triticum aestivum L.)
Ana Luisa Gómez Espejo Carolina Sansaloni Juan Burgueño Fernando Henrique Toledo Adalberto Benavides-Mendoza M. Humberto Reyes-Valdés (2022)
Artículo
Genome–Environment Associations Climatic Variables Hormonal Elicitors CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ADAPTATION DROUGHT STRESS HEAT STRESS LANDRACES TRITICUM AESTIVUM
Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces
Jose Crossa DIEGO JARQUIN Jorge Franco Paulino Pérez-Rodríguez Juan Burgueño Carolina Saint Pierre Prashant Vikram Carolina Sansaloni Cesar Petroli Deniz Akdemir Clay Sneller Matthew Paul Reynolds Thomas Payne Carlos Guzman Roberto Peña Peter Wenzl Sukhwinder Singh (2023)
Genomic prediction methods may be used to enhance efforts to rapidly introgress traits of interest from exotic germplasm into elite materials. This study examined the performance of different genomic prediction models using genotypic and phenotypic data related to 8416 Mexican landrace accessions and 2403 Iranian landrace accessions stored in germplasm banks. The Mexican and Iranian collections were evaluated under optimal, drought, and heat conditions for several traits including the highly heritable traits, days to heading (DTH), and days to maturity (DTM). The results of the different analyses are reported in the accompanying journal article.
Dataset