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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
23/01/2023 |
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Actualizado : |
07/03/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CARRACELAS, G.; GUILPART, N.; CASSMAN, K.G.; GRASSINI, P. |
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Afiliación : |
JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NICOLÁS GUILPART, University of Nebraska-Lincoln, USA; Université Paris-Saclay, AgroParisTech, INRAE, UMR Agronomie, France.; KENNETH G. CASSMAN, University of Nebraska-Lincoln, USA; PATRICIO GRASSINI, University of Nebraska-Lincoln, USA. |
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Título : |
Distinguishing between yield plateaus and yield ceilings: A case study of rice in Uruguay. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Field Crops Research, 2023, volume 292, number 108808. OPEN ACCESS. Doi: https://doi.org/10.1016/j.fcr.2023.108808 |
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Páginas : |
8 p. |
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DOI : |
10.1016/j.fcr.2023.108808 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 3 September 2022; Received in revised form 22 December 2022; Accepted 2 January 2023; Available online 13 January 2023.
Corresponding author. E-mail address: gcarracelas@inia.org.uy (G. Carracelas). |
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Contenido : |
Rice yields in Uruguay have increased rapidly (159 kg-1 ha-1 y-1) between 1990 and 2013. There is evidence, however, of an incipient yield plateau in recent years. The aim of this study was to determine if the recent slowdown in yield gains is because average yield (Ya) has approached the yield potential (Yp) ceiling, which makes it increasingly difficult for farmers to sustain further yield gains. We followed the methodology developed by the Global Yield Gap Atlas to estimate Yp and associated yield gaps for irrigated rice supported by data from high-yield experiments to calibrate the rice simulation model Oryza (v3). Subsequently, the model was used to simulate Yp using long-term daily weather data from seven locations, representing 90 % of total rice area in Uruguay. The exploitable yield gap (Yeg) was calculated as the difference between 80 % of Yp and Ya. Estimated national average Yp was 13.9 Mg ha?1, with relatively small variation across sites, from 13.1 to 15.1 Mg ha-1. Average Ya was 8.3 Mg ha-1, ranging from 7.9 to 8.5 Mg ha-1 across sites, and representing 60 % of Yp. Our analysis suggests there is still room to further increase rice yields in Uruguay, because the Yeg is 2.8 Mg ha-1, which means the current yield plateau is not due to Ya approaching Yp, as has occurred in other high-yield irrigated rice systems in China and California, USA. The approach followed here can help determine whether yield plateaus are occurring due to a small Yeg or other factors. |
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Palabras claves : |
ORYSA SATIVA; RICE; YIELD GAP; YIELD PLATEAU; YIELD POTENTIAL. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
https://www.sciencedirect.com/sdfe/reader/pii/S0378429023000011/pdf
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Marc : |
LEADER 02481naa a2200253 a 4500
001 1063945
005 2023-03-07
008 2023 bl uuuu u00u1 u #d
024 7 $a10.1016/j.fcr.2023.108808$2DOI
100 1 $aCARRACELAS, G.
245 $aDistinguishing between yield plateaus and yield ceilings$bA case study of rice in Uruguay.$h[electronic resource]
260 $c2023
300 $a8 p.
500 $aArticle history: Received 3 September 2022; Received in revised form 22 December 2022; Accepted 2 January 2023; Available online 13 January 2023. Corresponding author. E-mail address: gcarracelas@inia.org.uy (G. Carracelas).
520 $aRice yields in Uruguay have increased rapidly (159 kg-1 ha-1 y-1) between 1990 and 2013. There is evidence, however, of an incipient yield plateau in recent years. The aim of this study was to determine if the recent slowdown in yield gains is because average yield (Ya) has approached the yield potential (Yp) ceiling, which makes it increasingly difficult for farmers to sustain further yield gains. We followed the methodology developed by the Global Yield Gap Atlas to estimate Yp and associated yield gaps for irrigated rice supported by data from high-yield experiments to calibrate the rice simulation model Oryza (v3). Subsequently, the model was used to simulate Yp using long-term daily weather data from seven locations, representing 90 % of total rice area in Uruguay. The exploitable yield gap (Yeg) was calculated as the difference between 80 % of Yp and Ya. Estimated national average Yp was 13.9 Mg ha?1, with relatively small variation across sites, from 13.1 to 15.1 Mg ha-1. Average Ya was 8.3 Mg ha-1, ranging from 7.9 to 8.5 Mg ha-1 across sites, and representing 60 % of Yp. Our analysis suggests there is still room to further increase rice yields in Uruguay, because the Yeg is 2.8 Mg ha-1, which means the current yield plateau is not due to Ya approaching Yp, as has occurred in other high-yield irrigated rice systems in China and California, USA. The approach followed here can help determine whether yield plateaus are occurring due to a small Yeg or other factors.
653 $aORYSA SATIVA
653 $aRICE
653 $aYIELD GAP
653 $aYIELD PLATEAU
653 $aYIELD POTENTIAL
700 1 $aGUILPART, N.
700 1 $aCASSMAN, K.G.
700 1 $aGRASSINI, P.
773 $tField Crops Research, 2023, volume 292, number 108808. OPEN ACCESS. Doi: https://doi.org/10.1016/j.fcr.2023.108808
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INIA Treinta y Tres (TT) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
06/06/2019 |
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Actualizado : |
12/06/2019 |
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Tipo de producción científica : |
Poster |
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Autor : |
BARAIBAR, S.; SILVA, P.; PRITSCH, C.; RAFFO, M.A.; PEREYRA, S.; GERMAN, S. |
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Afiliación : |
SILVINA BARAIBAR PEDERSEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CLARA PRITSCH; MIGUEL ANGEL RAFFO BUSCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ANTONIA PEREYRA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Development of adapted wheat lines resistant to Ug99+ with combinations of Sr26, Sr32 and Sr39. [Poster]. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
In: Proceedings of the Borlaug Global Rust Initiative Technical Workshop ,14-18 April, 2018, Marrakesh, Marruecos. |
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Idioma : |
Inglés |
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Contenido : |
Abstracts:Wheat stem rust (SR), caused by Puccinia graminis f. sp. tritici, (Pgt) is considered one of the most destructive diseases of the wheat crop. As Sr24 and Sr31 are the most widely used resistance genes in the Southern Cone of America, wheat crops in this region is under threat of SR outbreaks posed by the potential migration of virulent Pgt Ug99-lineage races (Ug99+). Efforts have to be made to develop adapted lines resistant to Ug99+. Genes Sr26, Sr32 and Sr39 are effective to both Ug99+ and local races of the pathogen. This work is aimed to pyramid two and three of the resistance genes in two locally adapted wheat cultivars (G?nesis 2375 and G?nesis 6.87). Donor lines of Sr26, Sr32 and Sr39 (developed by I. Dundas, University of Adelaide, Australia) and molecular markers Sr26#43, csSr32#1 and Sr39#22r (developed by R. Mago et al., University of Adelaide) were used. Lines with two-gene combinations were developed in two steps. First, tree-way crosses were made by crossing heterozygous F1 plants (derived from crossings donor lines) to either one of the two adapted wheat cultivars. Subsequently, tree-way F1 plants were genotyped and only those with two-gene combinations were backcrossed (BC) twice to the adapted cultivars. Among three-way F1 plants, two-genes combinations were confirmed for Sr26+Sr32 (8 out of 31), Sr26+Sr39 (2 of 115) and Sr32+Sr39 (26 out of 103). In the BC1F1 generation, Sr26+Sr32, Sr26+Sr39 and Sr32+Sr39 combinations corresponded with 9, 9 and 45 out of 99, 27 and 241 plants, respectively. In 2017, 1345 BC2F1 plants are being grown to obtain BC2F2. We plan to intercross plants with two-gene combinations to obtain lines with the three genes which will be used as sources of resistance to develop cultivars with presumably longer lasting resistance to wheat SR. MenosAbstracts:Wheat stem rust (SR), caused by Puccinia graminis f. sp. tritici, (Pgt) is considered one of the most destructive diseases of the wheat crop. As Sr24 and Sr31 are the most widely used resistance genes in the Southern Cone of America, wheat crops in this region is under threat of SR outbreaks posed by the potential migration of virulent Pgt Ug99-lineage races (Ug99+). Efforts have to be made to develop adapted lines resistant to Ug99+. Genes Sr26, Sr32 and Sr39 are effective to both Ug99+ and local races of the pathogen. This work is aimed to pyramid two and three of the resistance genes in two locally adapted wheat cultivars (G?nesis 2375 and G?nesis 6.87). Donor lines of Sr26, Sr32 and Sr39 (developed by I. Dundas, University of Adelaide, Australia) and molecular markers Sr26#43, csSr32#1 and Sr39#22r (developed by R. Mago et al., University of Adelaide) were used. Lines with two-gene combinations were developed in two steps. First, tree-way crosses were made by crossing heterozygous F1 plants (derived from crossings donor lines) to either one of the two adapted wheat cultivars. Subsequently, tree-way F1 plants were genotyped and only those with two-gene combinations were backcrossed (BC) twice to the adapted cultivars. Among three-way F1 plants, two-genes combinations were confirmed for Sr26+Sr32 (8 out of 31), Sr26+Sr39 (2 of 115) and Sr32+Sr39 (26 out of 103). In the BC1F1 generation, Sr26+Sr32, Sr26+Sr39 and Sr32+Sr39 combinations corresponded with 9, 9 and 45... Presentar Todo |
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Palabras claves : |
PUCCINIA GRAMINIS; STEM RUST; WHEAT; WHEAT GENETIC RESISTANCE. |
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Thesagro : |
FITOMEJORAMIENTO; TRIGO. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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Marc : |
LEADER 02581nam a2200241 a 4500
001 1059830
005 2019-06-12
008 2018 bl uuuu u00u1 u #d
100 1 $aBARAIBAR, S.
245 $aDevelopment of adapted wheat lines resistant to Ug99+ with combinations of Sr26, Sr32 and Sr39. [Poster].$h[electronic resource]
260 $aIn: Proceedings of the Borlaug Global Rust Initiative Technical Workshop ,14-18 April, 2018, Marrakesh, Marruecos.$c2018
520 $aAbstracts:Wheat stem rust (SR), caused by Puccinia graminis f. sp. tritici, (Pgt) is considered one of the most destructive diseases of the wheat crop. As Sr24 and Sr31 are the most widely used resistance genes in the Southern Cone of America, wheat crops in this region is under threat of SR outbreaks posed by the potential migration of virulent Pgt Ug99-lineage races (Ug99+). Efforts have to be made to develop adapted lines resistant to Ug99+. Genes Sr26, Sr32 and Sr39 are effective to both Ug99+ and local races of the pathogen. This work is aimed to pyramid two and three of the resistance genes in two locally adapted wheat cultivars (G?nesis 2375 and G?nesis 6.87). Donor lines of Sr26, Sr32 and Sr39 (developed by I. Dundas, University of Adelaide, Australia) and molecular markers Sr26#43, csSr32#1 and Sr39#22r (developed by R. Mago et al., University of Adelaide) were used. Lines with two-gene combinations were developed in two steps. First, tree-way crosses were made by crossing heterozygous F1 plants (derived from crossings donor lines) to either one of the two adapted wheat cultivars. Subsequently, tree-way F1 plants were genotyped and only those with two-gene combinations were backcrossed (BC) twice to the adapted cultivars. Among three-way F1 plants, two-genes combinations were confirmed for Sr26+Sr32 (8 out of 31), Sr26+Sr39 (2 of 115) and Sr32+Sr39 (26 out of 103). In the BC1F1 generation, Sr26+Sr32, Sr26+Sr39 and Sr32+Sr39 combinations corresponded with 9, 9 and 45 out of 99, 27 and 241 plants, respectively. In 2017, 1345 BC2F1 plants are being grown to obtain BC2F2. We plan to intercross plants with two-gene combinations to obtain lines with the three genes which will be used as sources of resistance to develop cultivars with presumably longer lasting resistance to wheat SR.
650 $aFITOMEJORAMIENTO
650 $aTRIGO
653 $aPUCCINIA GRAMINIS
653 $aSTEM RUST
653 $aWHEAT
653 $aWHEAT GENETIC RESISTANCE
700 1 $aSILVA, P.
700 1 $aPRITSCH, C.
700 1 $aRAFFO, M.A.
700 1 $aPEREYRA, S.
700 1 $aGERMAN, S.
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