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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
27/04/2021 |
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Actualizado : |
10/08/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
QUERO, G.; SIMONDI, S.; CERETTA, S.; OTERO, A.; GARAYCOCHEA, S.; FERNANDEZ, S.; BORSANI, O.; BONNECARRERE, V. |
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Afiliación : |
GASTÓN QUERO CORRALLO, Dep. de Biología Vegetal, Facultad de Agronomía, Univ. de la República, Montevideo, Uruguay; SEBASTIÁN SIMONDI, Area de Matemática, Facultad de Ciencias Exactas y Naturales, Univ. Nacional de Cuyo (FCEN-UNCuyo), Mendoza, Argentina; SERGIO EDUARDO CERETTA SORIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALVARO RICARDO OTERO CAMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SCHUBERT DANIEL FERNANDEZ REGGIARDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OMAR BORSANI, Dep. de Biología Vegetal, Facultad de Agronomía, Univ. de la República, Montevideo, Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
An integrative analysis of yield stability for a GWAS in a small soybean breeding population. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Crop Science, May 2021, volume 61, issue 3, pages 19003-1914. Doi: https://doi.org/10.1002/csc2.20490 |
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ISSN : |
0011-183X |
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DOI : |
10.1002/csc2.20490 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received, 3 November 2020; Accepted, 11 February 2021; Published online, 14 April 2021.
Associate Editor: Junping Chen.
The authors thank Edgardo Rey and Wanda Iriarte for technical assistance in field experiment and laboratory works, respectively. They also thank Monika Kavanova for her contribution to data interpretation and discussion. This work was financially supported by the following projects: Innovagro FSA_1_2013_1_12924, funded by ANII (Agencia Nacional de Investigación e Innovación), and Red Nacional de Biotecnología Agrícola RTS_1_2014_1, funded by ANII, INIA (Instituto Nacional de Investigación Agropecuaria), Barraca Erro S.A., Lebu SRL, Fadisol SA, CALMER, and COPAGRAN.
Author Contributions: Gastón Quero: Conceptualization, Formal analysis, Investigation, Methodology, Writing‐original draft, Writing‐review & editing. Sebastián Simondi: Data curation, Formal analysis. Sergio Ceretta: Investigation, Methodology. Álvaro Otero: Methodology. Silvia Garaycochea: Methodology, Software. Schubert Fernández: Software. Omar Borsani: Supervision. Victoria Bonnecarrère: Conceptualization, Funding acquisition, Project administration, Supervision, Writing‐original draft, Writing‐review & editing.
Corresponding author: Victoria Bonnecarrère, Instituto Nacional de InvestigaciónAgropecuaria (INIA),Unidad de Biotecnología y Programa de Cultivo de Secano, Estación Experimental INIA Las Brujas,Ruta 48 km10, Canelones,Uruguay. Email: vbonnecarrere@inia.org.uy |
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Contenido : |
ABSTRACT.
Drought stress is one of the most important factors limiting soybean [Glycine max (L.) Merr.] productivity and reducing yield stability. Soybean breeders need phenotypic and genotypic tools to improve drought stress tolerance, but most of available strategies are expensive and unaffordable for small-scale public breeding programs. In this study, elite germplasm of a locally adapted breeding population was used to estimate a yield stability index as an indicator of drought response. In order to associate yield stability of analyzed genotypes to drought response, water deficit scenarios related to the crop cycle group were defined. Four groups of genotypes were identified in relation to yield stability: two groups showed stables yield (without interaction with water deficit scenarios), and two groups showed unstable yield (with crossover interaction with water deficit scenarios). This phenotypic information was used to identify genomic regions and candidate genes associated with yield stability index. A new method for the definition of a quantitative trait loci (QTL) region was developed based on the probability of marker pairwise of belonging to four linkage disequilibrium (LD) categories. Seven QTL were found and their implication on drought tolerance was further supported by linkage to previously reported QTL for water use efficiency trait. © 2021 The Authors. Crop Science © 2021 Crop Science Society of America |
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Palabras claves : |
Drought stress; GBS - Genotyping by sequencing; GWAS - Genome-wide association study. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 03833naa a2200277 a 4500
001 1061997
005 2021-08-10
008 2021 bl uuuu u00u1 u #d
022 $a0011-183X
024 7 $a10.1002/csc2.20490$2DOI
100 1 $aQUERO, G.
245 $aAn integrative analysis of yield stability for a GWAS in a small soybean breeding population.$h[electronic resource]
260 $c2021
500 $aArticle history: Received, 3 November 2020; Accepted, 11 February 2021; Published online, 14 April 2021. Associate Editor: Junping Chen. The authors thank Edgardo Rey and Wanda Iriarte for technical assistance in field experiment and laboratory works, respectively. They also thank Monika Kavanova for her contribution to data interpretation and discussion. This work was financially supported by the following projects: Innovagro FSA_1_2013_1_12924, funded by ANII (Agencia Nacional de Investigación e Innovación), and Red Nacional de Biotecnología Agrícola RTS_1_2014_1, funded by ANII, INIA (Instituto Nacional de Investigación Agropecuaria), Barraca Erro S.A., Lebu SRL, Fadisol SA, CALMER, and COPAGRAN. Author Contributions: Gastón Quero: Conceptualization, Formal analysis, Investigation, Methodology, Writing‐original draft, Writing‐review & editing. Sebastián Simondi: Data curation, Formal analysis. Sergio Ceretta: Investigation, Methodology. Álvaro Otero: Methodology. Silvia Garaycochea: Methodology, Software. Schubert Fernández: Software. Omar Borsani: Supervision. Victoria Bonnecarrère: Conceptualization, Funding acquisition, Project administration, Supervision, Writing‐original draft, Writing‐review & editing. Corresponding author: Victoria Bonnecarrère, Instituto Nacional de InvestigaciónAgropecuaria (INIA),Unidad de Biotecnología y Programa de Cultivo de Secano, Estación Experimental INIA Las Brujas,Ruta 48 km10, Canelones,Uruguay. Email: vbonnecarrere@inia.org.uy
520 $aABSTRACT. Drought stress is one of the most important factors limiting soybean [Glycine max (L.) Merr.] productivity and reducing yield stability. Soybean breeders need phenotypic and genotypic tools to improve drought stress tolerance, but most of available strategies are expensive and unaffordable for small-scale public breeding programs. In this study, elite germplasm of a locally adapted breeding population was used to estimate a yield stability index as an indicator of drought response. In order to associate yield stability of analyzed genotypes to drought response, water deficit scenarios related to the crop cycle group were defined. Four groups of genotypes were identified in relation to yield stability: two groups showed stables yield (without interaction with water deficit scenarios), and two groups showed unstable yield (with crossover interaction with water deficit scenarios). This phenotypic information was used to identify genomic regions and candidate genes associated with yield stability index. A new method for the definition of a quantitative trait loci (QTL) region was developed based on the probability of marker pairwise of belonging to four linkage disequilibrium (LD) categories. Seven QTL were found and their implication on drought tolerance was further supported by linkage to previously reported QTL for water use efficiency trait. © 2021 The Authors. Crop Science © 2021 Crop Science Society of America
653 $aDrought stress
653 $aGBS - Genotyping by sequencing
653 $aGWAS - Genome-wide association study
700 1 $aSIMONDI, S.
700 1 $aCERETTA, S.
700 1 $aOTERO, A.
700 1 $aGARAYCOCHEA, S.
700 1 $aFERNANDEZ, S.
700 1 $aBORSANI, O.
700 1 $aBONNECARRERE, V.
773 $tCrop Science, May 2021, volume 61, issue 3, pages 19003-1914. Doi: https://doi.org/10.1002/csc2.20490
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Registro original : |
INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
09/04/2021 |
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Actualizado : |
09/04/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
CERECETTO, V.; SMALLA , K.; NESME, J; GARAYCOCHEA, S.; FRESIA, P.; SØRENSEN, S.J.; BABIN, D.; LEONI, C. |
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Afiliación : |
MARÍA VICTORIA CERECETTO GONZÁLEZ, Julius Kühn Institute (JKI)-Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen Diagnostics, Braunschweig, Germany; INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; KORNELIA SMALLA, Julius Kühn Institute (JKI)-Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen Diagnostics, Braunschweig, Germany; JOSEPH NESME, University of Copenhagen, Department of Biology, Section of Microbiology, Copenhagen, Denmark; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO FRESIA, Unidad Mixta UMPI, Institut Pasteur Montevideo + INIA, Montevideo, Uruguay; SØREN JOHANNES SØRENSEN, University of Copenhagen, Department of Biology, Section of Microbiology, Copenhagen, Denmark; DOREEN BABIN, Julius Kühn Institute (JKI)-Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen Diagnostics, Braunschweig, Germany; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Reduced tillage, cover crops and organic amendments affect soil microbiota and improve soil health in Uruguayan vegetable farming systems. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
FEMS Microbiology Ecology, March 2021, Volume 97, Issue 3, fiab023. Doi: https://doi.org/10.1093/femsec/fiab023 |
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ISSN : |
0168-6496 (print); 1574-6941 (online) |
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DOI : |
10.1093/femsec/fiab023 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 05 August 2020; Accepted 04 February 2021; Published 06 February 2021.
Editor: Angela Sessitsch.
This work was supported by Instituto Nacional de Investigación Agropecuaria, Uruguay (Project INIA SA35 - Effect of agricultural management on soil microbiome-implication for plant growth and health), and by Julius Kuhn Institute, Germany. The work of Doreen Babin was supported by the German Federal Ministry of Education and Research (BMBF, Germany) in the framework of the project DiControl (http://dicontrol.igzev.de/de/; grant number 031B0514C) as part of the BonaRes initiative "Soil as a sustainable resource for the bioeconomy" (https://www.bonares.de/).
Corresponding author: Carolina Leoni, E-mail: cleoni@inia.org.uy |
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Contenido : |
ABSTRACT.
Conventional tillage and mineral fertilization (CTMF) jeopardize soil health in conventional vegetable production systems. Using a field experiment established in Uruguay in 2012, we aimed to compare the soil restoration potential of organic fertilization (compost and poultry manure) combined with conventional tillage and cover crop incorporated into the soil (CTOF) or with reduced tillage and the use of cover crop as mulch (RTOF). In 2017, table beet was cultivated under CTMF, CTOF and RTOF, and yields, soil aggregate composition and nutrients, as well as soil and table beet rhizosphere microbiota (here: bacteria and archaea) were evaluated. Microbiota was studied by high-throughput sequencing of 16S rRNA gene fragments amplified from total community DNA. RTOF exhibited higher soil aggregation, soil organic C, nutrient availability and microbial alpha-diversity than CTMF, and became more similar to an adjacent natural undisturbed site. The soil microbiota was strongly shaped by the fertilization source which was conveyed to the rhizosphere and resulted in differentially abundant taxa. However, 229 amplicon sequencing variants were found to form the core table beet rhizosphere microbiota shared among managements. In conclusion, our study shows that after only 5 years of implementation, RTOF improves soil health under intensive vegetable farming systems. Copyright © The Author(s) 2021. Published by Oxford University Press on behalf of FEMS. |
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Palabras claves : |
16S rRNA gene high-throughput amplicon sequencing; Fertilization; Rhizosphere; Soil properties; Soil restoration; Table beet; Tillage. |
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Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
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Marc : |
LEADER 03272naa a2200325 a 4500
001 1061967
005 2021-04-09
008 2021 bl uuuu u00u1 u #d
022 $a0168-6496 (print); 1574-6941 (online)
024 7 $a10.1093/femsec/fiab023$2DOI
100 1 $aCERECETTO, V.
245 $aReduced tillage, cover crops and organic amendments affect soil microbiota and improve soil health in Uruguayan vegetable farming systems.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 05 August 2020; Accepted 04 February 2021; Published 06 February 2021. Editor: Angela Sessitsch. This work was supported by Instituto Nacional de Investigación Agropecuaria, Uruguay (Project INIA SA35 - Effect of agricultural management on soil microbiome-implication for plant growth and health), and by Julius Kuhn Institute, Germany. The work of Doreen Babin was supported by the German Federal Ministry of Education and Research (BMBF, Germany) in the framework of the project DiControl (http://dicontrol.igzev.de/de/; grant number 031B0514C) as part of the BonaRes initiative "Soil as a sustainable resource for the bioeconomy" (https://www.bonares.de/). Corresponding author: Carolina Leoni, E-mail: cleoni@inia.org.uy
520 $aABSTRACT. Conventional tillage and mineral fertilization (CTMF) jeopardize soil health in conventional vegetable production systems. Using a field experiment established in Uruguay in 2012, we aimed to compare the soil restoration potential of organic fertilization (compost and poultry manure) combined with conventional tillage and cover crop incorporated into the soil (CTOF) or with reduced tillage and the use of cover crop as mulch (RTOF). In 2017, table beet was cultivated under CTMF, CTOF and RTOF, and yields, soil aggregate composition and nutrients, as well as soil and table beet rhizosphere microbiota (here: bacteria and archaea) were evaluated. Microbiota was studied by high-throughput sequencing of 16S rRNA gene fragments amplified from total community DNA. RTOF exhibited higher soil aggregation, soil organic C, nutrient availability and microbial alpha-diversity than CTMF, and became more similar to an adjacent natural undisturbed site. The soil microbiota was strongly shaped by the fertilization source which was conveyed to the rhizosphere and resulted in differentially abundant taxa. However, 229 amplicon sequencing variants were found to form the core table beet rhizosphere microbiota shared among managements. In conclusion, our study shows that after only 5 years of implementation, RTOF improves soil health under intensive vegetable farming systems. Copyright © The Author(s) 2021. Published by Oxford University Press on behalf of FEMS.
653 $a16S rRNA gene high-throughput amplicon sequencing
653 $aFertilization
653 $aRhizosphere
653 $aSoil properties
653 $aSoil restoration
653 $aTable beet
653 $aTillage
700 1 $aSMALLA , K.
700 1 $aNESME, J
700 1 $aGARAYCOCHEA, S.
700 1 $aFRESIA, P.
700 1 $aSØRENSEN, S.J.
700 1 $aBABIN, D.
700 1 $aLEONI, C.
773 $tFEMS Microbiology Ecology, March 2021, Volume 97, Issue 3, fiab023. Doi: https://doi.org/10.1093/femsec/fiab023
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