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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
04/01/2018 |
Actualizado : |
30/01/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
GONZALEZ-BARRIOS, P.; CASTRO, M.; PÉREZ, O.; VILARÓ, D.; GUTIÉRREZ, G. |
Afiliación : |
PABLO GONZALEZ-BARRIOS,; MARINA CASTRO DERENYI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSVALDO MARTIN PÉREZ GONZÁLEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DIEGO VILARÓ; LUCÍA GUTIÉRREZ. |
Título : |
Genotype by environment interaction in sunflower (Helianthus annus L.) to optimize trial network efficiency. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Spanish Journal of Agricultural Research, v.15. n.4, e0705, 2017. |
DOI : |
10.5424/sjar/2017154-11016 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 06 Jan 2017, Accepted: 01 Dec 2017. |
Contenido : |
Abstract:
Modeling genotype by environment interaction (GEI) is one of the most challenging aspects of plant breeding programs. The use of efficient trial networks is an effective way to evaluate GEI to define selection strategies. Furthermore, the experimental design and the number of locations, replications, and years are crucial aspects of multi-environment trial (MET) network optimization. The objective of this study was to evaluate the efficiency and performance of a MET network of sunflower (Helianthus annuus L.). Specifically, we evaluated GEI in the network by delineating mega-environments, estimating genotypic stability and identifying relevant environmental covariates. Additionally, we optimized the network by comparing experimental design efficiencies. We used the National Evaluation Network of Sunflower Cultivars of Uruguay (NENSU) in a period of 20 years. MET plot yield and flowering time information was used to evaluate GEI. Additionally, meteorological information was studied for each sunflower physiological stage. An optimal network under these conditions should have three replications, two years of evaluation and at least three locations. The use of incomplete randomized block experimental design showed reasonable performance. Three mega-environments were defined, explained mainly by different management of sowing dates. Late sowings dates had the worst performance in grain yield and oil production, associated with higher temperatures before anthesis and fewer days allocated to grain filling. The optimization of MET networks through the analysis of the experimental design efficiency, the presence of GEI, and appropriate management strategies have a positive impact on the expression of yield potential and selection of superior cultivars. MenosAbstract:
Modeling genotype by environment interaction (GEI) is one of the most challenging aspects of plant breeding programs. The use of efficient trial networks is an effective way to evaluate GEI to define selection strategies. Furthermore, the experimental design and the number of locations, replications, and years are crucial aspects of multi-environment trial (MET) network optimization. The objective of this study was to evaluate the efficiency and performance of a MET network of sunflower (Helianthus annuus L.). Specifically, we evaluated GEI in the network by delineating mega-environments, estimating genotypic stability and identifying relevant environmental covariates. Additionally, we optimized the network by comparing experimental design efficiencies. We used the National Evaluation Network of Sunflower Cultivars of Uruguay (NENSU) in a period of 20 years. MET plot yield and flowering time information was used to evaluate GEI. Additionally, meteorological information was studied for each sunflower physiological stage. An optimal network under these conditions should have three replications, two years of evaluation and at least three locations. The use of incomplete randomized block experimental design showed reasonable performance. Three mega-environments were defined, explained mainly by different management of sowing dates. Late sowings dates had the worst performance in grain yield and oil production, associated with higher temperatures before anthesis and f... Presentar Todo |
Palabras claves : |
GENOTYPE BY ENVIRONMENT INTERACTION; MULTI-ENVIRONMENT TRIALS; NETWORK EFFICIENCY; SUNFLOWER; YIELD STABILITY. |
Thesagro : |
GIRASOL; INTERACCIÓN GENOTIPO AMBIENTE. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8628/1/SJAR.2017.v.15.n.4.pdf
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Marc : |
LEADER 02709naa a2200277 a 4500 001 1057950 005 2020-01-30 008 2017 bl uuuu u00u1 u #d 024 7 $a10.5424/sjar/2017154-11016$2DOI 100 1 $aGONZALEZ-BARRIOS, P. 245 $aGenotype by environment interaction in sunflower (Helianthus annus L.) to optimize trial network efficiency.$h[electronic resource] 260 $c2017 500 $aArticle history: Received: 06 Jan 2017, Accepted: 01 Dec 2017. 520 $aAbstract: Modeling genotype by environment interaction (GEI) is one of the most challenging aspects of plant breeding programs. The use of efficient trial networks is an effective way to evaluate GEI to define selection strategies. Furthermore, the experimental design and the number of locations, replications, and years are crucial aspects of multi-environment trial (MET) network optimization. The objective of this study was to evaluate the efficiency and performance of a MET network of sunflower (Helianthus annuus L.). Specifically, we evaluated GEI in the network by delineating mega-environments, estimating genotypic stability and identifying relevant environmental covariates. Additionally, we optimized the network by comparing experimental design efficiencies. We used the National Evaluation Network of Sunflower Cultivars of Uruguay (NENSU) in a period of 20 years. MET plot yield and flowering time information was used to evaluate GEI. Additionally, meteorological information was studied for each sunflower physiological stage. An optimal network under these conditions should have three replications, two years of evaluation and at least three locations. The use of incomplete randomized block experimental design showed reasonable performance. Three mega-environments were defined, explained mainly by different management of sowing dates. Late sowings dates had the worst performance in grain yield and oil production, associated with higher temperatures before anthesis and fewer days allocated to grain filling. The optimization of MET networks through the analysis of the experimental design efficiency, the presence of GEI, and appropriate management strategies have a positive impact on the expression of yield potential and selection of superior cultivars. 650 $aGIRASOL 650 $aINTERACCIÓN GENOTIPO AMBIENTE 653 $aGENOTYPE BY ENVIRONMENT INTERACTION 653 $aMULTI-ENVIRONMENT TRIALS 653 $aNETWORK EFFICIENCY 653 $aSUNFLOWER 653 $aYIELD STABILITY 700 1 $aCASTRO, M. 700 1 $aPÉREZ, O. 700 1 $aVILARÓ, D. 700 1 $aGUTIÉRREZ, G. 773 $tSpanish Journal of Agricultural Research$gv.15. n.4, e0705, 2017.
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Registro original : |
INIA La Estanzuela (LE) |
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Registros recuperados : 19 | |
1. | | BAO, L.; MARTÍNEZ, S.; URRUTIA, M.; SEIJAS, L.; CASTIGLIONI, E. Macroinvertebrados acuáticos en el agroecosistema de arroz uruguayo. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B. (Eds.) Arroz 2021. Montevideo (UY): INIA, 2022. p. 53-56. (INIA Serie Técnica; 262)Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Treinta y Tres. |
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2. | | BAO, L.; MARTÍNEZ, S.; CADENAZZI, M.; URRUTIA, M.; SEIJAS, L.; CASTIGLIONI, E. Aquatic macroinvertebrates in Uruguayan rice agroecosystem. Biodiversity Data Journal, 2021, Volume 9, 2021, e60745, pages 1-18. OPEN ACCESS. Doi: https://doi.org/10.3897/BDJ.9.e60745 Article history: Received 13 Nov 2020; Approved 18 Feb 2021; Published: 04 Mar 2021.
Corresponding author: Leticia Bao - Crop Protection Department, University of Republic, Montevideo, Montevideo, Uruguay; email:baoleticia@gmail.comTipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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3. | | BAO, L.; MARTÍNEZ, S.; LORENZO, M.E.; CADENAZZI, M.; SEIJAS, L.; CASTIGLIONI, E. Diversidad de insectos en la rotación arroz-pasturas. In: Sociedad Uruguaya de Fitopatología Jornada Uruguaya de Fitopatología, 6., Jornada Uruguaya de Protección Vegetal, 4., 21-22 octubre, 2021, Montevideo, Uruguay. Libro de resúmenes. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2021. p. 64. Financiamiento: ANII POS_NAC_2012_4459 L. Bao.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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4. | | BAO, L.; CADENAZZI, M.; MARTÍNEZ, S.; URRUTIA, M.; SEIJAS, L.; CASTIGLIONI, E. Aquatic insects in rice fields from the east of Uruguay. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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5. | | BAO, L.; CASTIGLIONI, E.; MARTÍNEZ, S.; SAVARIS, M.; MARINONI, L. First records of Sepedonea lindneri (Hendel, 1932) and Protodictya lilloana Steyskal, 1953 (Diptera, Sciomyzidae) from Uruguay with an overview on their biology. Check List, Jannuary 2019, 15(1), p. 71-77. Article history: Received 26 September 2018. Accepted 19 December 2018. Published 25 January 2019.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : -- - -- |
Biblioteca(s): INIA Treinta y Tres. |
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7. | | BAO, L.; GINELLA, J.; CADENAZZI, M.; CASTIGLIONI, E.A.; MARTÍNEZ, S.; CASALES, L.; CARABALLO, M.P.; LABORDA, A.; SIMO, M. Spider assemblages associated with different crop stages of irrigated rice agroecosystems form eastern Uruguay. Biodiversity Data Journal, 6: e24974 Article history: Received: 12 Mar 2018. Accepted: 24 Apr 2018. Published: 3 May 2018.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Treinta y Tres. |
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8. | | BAO, L.; MARTÍNEZ, S.; CASALES, L.; CARABALLO, M.P.; CASTIGLIONI, E. Insectos del cultivo y su entorno: ¿Por qué es importante conservar su diversidad? ln: JORNADA ANUAL ARROZ, 2016, INIA TREINTA Y TRES, TREINTA Y TRES, UY. Arroz: resultados experimentales 2015-2016. Treinta y Tres, (Uruguay): INIA, 2016. Cap. 2, p. 9-11. (INIA Serie Actividades de Difusión; 765)Biblioteca(s): INIA Treinta y Tres. |
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10. | | ABBATE, S.; RIVAS, F.; ALTIER, N.; RIBEIRO, A.; BENTANCUR, O.; CASTIGLIONI, E. Compatibilidad de Beauveria bassiana y Lecanicillium attenuatum con insecticidas usados en soja. In: JORNADA NACIONAL DE FITOPATOLOGÍA, 3; JORNADA NACIONAL DE PROTECCIÓN VEGETAL, 1., 3 SETIEMBRE 2015, MONTEVIDEO, URUGUAY. Libro de Resúmenes. Montevideo (Uruguay) : SUFIT, 2015. p. 35Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
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11. | | ALZUGARAY, R.; RIBEIRO, A.; SILVA, H.; STEWART, S.; CASTIGLIONI, E.; BARTABURU, S.; MARTINEZ, J.J. Prospección de agentes de mortalidad natural de áfidos en leguminosas forrajeras en Uruguay. [Survey of natural mortality agents of aphids in forage legumes in Uruguay]. Agrociencia, 2010, v. 14, no. 1, p. 27-35 Article history: Recibido 18/11/08 // Aceptado 21/4/10.Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : B - 5 |
Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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12. | | CASTIGLIONI, E.; RIBEIRO, A.; ALZUGARAY, R.; SILVA, H.; ÁVILA, I.; LOIÁCONO, M. Prospección de parasitoides de huevos de Piezodorus guildinii (Westwood) (Hemiptera: Pentatomidae) en el litoral oeste de Uruguay. [Survey of egg parasitoids of Piezodorus guildinii (Westwood) (Hemiptera: Pentatomidae) in the western litoral of Uruguay]. Agrociencia Uruguay, 2010, v. 14, no. 2, p. 22-25 Article history: Recibido 9/9/09 // Aceptado 2/8/10.Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : B - 5 |
Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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19. | | ALZUGARAY, R.; RIBEIRO, A.; ZERBINO, M.S.; MORELLI,E.; CASTIGLIONI, E. Situación de los inectos del suelo en Uruguay. In: Avances en el estudio de la diversidad, importancia y manejo de los coleópteros edafícolas americanos. Morón, M.A.; Aragón, A., (Eds.). 1998. Publicación especial de la Benemérita Universidad Autónoma de Puebla y la Sociedad Mexicana de Entomología. A.C. Puebla, México, p. 151-164.Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA La Estanzuela. |
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Registros recuperados : 19 | |
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