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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
27/04/2021 |
Actualizado : |
10/08/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
QUERO, G.; SIMONDI, S.; CERETTA, S.; OTERO, A.; GARAYCOCHEA, S.; FERNANDEZ, S.; BORSANI, O.; BONNECARRERE, V. |
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. |
Título : |
An integrative analysis of yield stability for a GWAS in a small soybean breeding population. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Crop Science, May 2021, volume 61, issue 3, pages 19003-1914. Doi: https://doi.org/10.1002/csc2.20490 |
ISSN : |
0011-183X |
DOI : |
10.1002/csc2.20490 |
Idioma : |
Inglés |
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 |
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 |
Palabras claves : |
Drought stress; GBS - Genotyping by sequencing; GWAS - Genome-wide association study. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Tacuarembó. |
Fecha actual : |
07/10/2014 |
Actualizado : |
30/07/2019 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
ZERBINO, M.S.; BEMHAJA, M. |
Afiliación : |
MARIA STELLA ZERBINO BARDIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA DE LURDES BEMHAJA SARAIVA FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Impact of natural grassland substitution by forestry on vegetation and soil macrofauna in Tacuarembó river basin. |
Fecha de publicación : |
2012 |
Fuente / Imprenta : |
In: INTERNATIONAL SOIL TILLAGE RESEARCH ORGANIZATION. 19., SOCIEDAD URUGUAYA DE CIENCIA DEL SUELO, 4., 2012, Montevideo, UY. Poster presentation: 080. Montevideo, UY: ISTRO, 2012 |
Idioma : |
Español Inglés |
Notas : |
Datos tomados del programa y del CD-ROM. |
Palabras claves : |
CUENCA DEL RÍO TACUAREMBÓ; DESVIACIÓN DEL USO DE LA TIERRA; PASTIZAL. |
Thesagro : |
CAMPO NATURAL; CUENCAS FORESTADAS; FORESTACIÓN; IMPACTO AMBIENTAL; IMPACTO DE LA FORESTACIÓN; MACROFAUNA DEL SUELO; PASTURAS NATURALES; URUGUAY; VEGETACIÓN. |
Asunto categoría : |
-- K10 Producción forestal P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/9073/1/ISTRO.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/9074/1/Stella-ZerbinoISTRO.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/9075/1/Impact-of-natural-grassland-substitution-by-forestry-Zerbino.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/9076/1/Impact-of-natural-Poster.pdf
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Marc : |
LEADER 00999nam a2200265 a 4500 001 1050189 005 2019-07-30 008 2012 bl uuuu u00u1 u #d 100 1 $aZERBINO, M.S. 245 $aImpact of natural grassland substitution by forestry on vegetation and soil macrofauna in Tacuarembó river basin.$h[electronic resource] 260 $aIn: INTERNATIONAL SOIL TILLAGE RESEARCH ORGANIZATION. 19., SOCIEDAD URUGUAYA DE CIENCIA DEL SUELO, 4., 2012, Montevideo, UY. Poster presentation: 080. Montevideo, UY: ISTRO$c2012 500 $aDatos tomados del programa y del CD-ROM. 650 $aCAMPO NATURAL 650 $aCUENCAS FORESTADAS 650 $aFORESTACIÓN 650 $aIMPACTO AMBIENTAL 650 $aIMPACTO DE LA FORESTACIÓN 650 $aMACROFAUNA DEL SUELO 650 $aPASTURAS NATURALES 650 $aURUGUAY 650 $aVEGETACIÓN 653 $aCUENCA DEL RÍO TACUAREMBÓ 653 $aDESVIACIÓN DEL USO DE LA TIERRA 653 $aPASTIZAL 700 1 $aBEMHAJA, M.
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