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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
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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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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
07/11/2022 |
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Actualizado : |
07/11/2022 |
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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 : |
HYDE, K.A.; AGUIAR, F.L.N.; ALVARENGA, P.B.; REZENDE, A.L.; ALVES, B.G.; ALVES, K.A.; GASTAL, G.D.A.; GASTAL, M.O.; GASTAL, E.L. |
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Afiliación : |
KENDALL A. HYDE, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; FRANCISCO L.N. AGUIAR, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; Department of Veterinary Medicine, Sousa Campus, Federal Institute of Education, Science and Technology of Paraíba, Paraíba, Sousa, Brazil; PAULA B. ALVARENGA, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; AMANDA L. REZENDE, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; BENNER G. ALVES, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; KELE A. ALVES, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; GUSTAVO DESIRE ANTUNES GASTAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; MELBA O. GASTAL, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; EDUARDO L. GASTAL, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States. |
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Título : |
Characterization of preantral follicle clustering and neighborhood patterns in the equine ovary. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
PLoS ONE, 2022, Volume 17, Issue 10, e0275396. OPEN ACCESS. doi: https://doi.org/10.1371/journal.pone.0275396 |
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ISSN : |
1932-6203 |
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DOI : |
10.1371/journal.pone.0275396 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received June 10 2022; Accepted September 14 2022; Published October 4 2022. Editor: Meijia Zhang, China Agricultural University, CHINA. -- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. (http://creativecommons.org/licenses/by/4.0/ ) -- |
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Contenido : |
ABSTRACT. - Understanding the transition from quiescent primordial follicles to activated primary follicles is vital for characterizing ovarian folliculogenesis and improving assisted reproductive techniques. To date, no study has investigated preantral follicle crowding in the ovaries of livestock or characterized these crowds according to follicular morphology and ovarian location (portions and regions) in any species. Therefore, the present study aimed to assess the crowding (clustering and neighborhood) patterns of preantral follicles in the equine ovary according to mare age, follicular morphology and developmental stage, and spatial location in the ovary.
© 2022 Hyde et al. T |
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Palabras claves : |
Animals; Cluster Analysis; Horses; Ovarian Follicle; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16827/1/journal.pone.0275396.pdf
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0275396
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Marc : |
LEADER 02089naa a2200313 a 4500
001 1063706
005 2022-11-07
008 2022 bl uuuu u00u1 u #d
022 $a1932-6203
024 7 $a10.1371/journal.pone.0275396$2DOI
100 1 $aHYDE, K.A.
245 $aCharacterization of preantral follicle clustering and neighborhood patterns in the equine ovary.$h[electronic resource]
260 $c2022
500 $aArticle history: Received June 10 2022; Accepted September 14 2022; Published October 4 2022. Editor: Meijia Zhang, China Agricultural University, CHINA. -- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. (http://creativecommons.org/licenses/by/4.0/ ) --
520 $aABSTRACT. - Understanding the transition from quiescent primordial follicles to activated primary follicles is vital for characterizing ovarian folliculogenesis and improving assisted reproductive techniques. To date, no study has investigated preantral follicle crowding in the ovaries of livestock or characterized these crowds according to follicular morphology and ovarian location (portions and regions) in any species. Therefore, the present study aimed to assess the crowding (clustering and neighborhood) patterns of preantral follicles in the equine ovary according to mare age, follicular morphology and developmental stage, and spatial location in the ovary. © 2022 Hyde et al. T
653 $aAnimals
653 $aCluster Analysis
653 $aHorses
653 $aOvarian Follicle
653 $aPLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL
700 1 $aAGUIAR, F.L.N.
700 1 $aALVARENGA, P.B.
700 1 $aREZENDE, A.L.
700 1 $aALVES, B.G.
700 1 $aALVES, K.A.
700 1 $aGASTAL, G.D.A.
700 1 $aGASTAL, M.O.
700 1 $aGASTAL, E.L.
773 $tPLoS ONE, 2022, Volume 17, Issue 10, e0275396. OPEN ACCESS. doi: https://doi.org/10.1371/journal.pone.0275396
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