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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
03/01/2022 |
Actualizado : |
10/01/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
YUAN, S.; LINQUIST, B. A.; WILSON, L. T.; CASSMAN, K. G.; STUART, A. M.; PEDE, V.; SAITO, K.; AGUSTIANI, N.; ARISTYA, V. E.; KRISNADI, L. Y.; ZANON, A.J.; HEINEMANN, A. B.; CARRACELAS, G.; SUBASH, N.; BRAGMANAND, P. S.; LI, T.; PENG, S.; GRASSINI, P. |
Afiliación : |
SHEN YUAN, National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, MARA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, China.; BRUCE A. LINQUIST, Department of Plant Sciences, University of California-Davis, One Shields Ave., Davis, CA 95616, USA.; LLOYD T. WILSON, Texas A&M AgriLife Research Center, Beaumont, TX 77713, USA.; KENNETH G. CASSMAN, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.; ALEXANDER M. STUART, International Rice Research Institute, DAPO Box 7777 Metro Manila, Philippines.; VALERIEN PEDE, International Rice Research Institute, DAPO Box 7777 Metro Manila, Philippines.; KASUKI SAITO, Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouake 01, Côte d’Ivoire.; NURWULAN AGUSTIANI, Indonesian Center for Rice Research, Sukamandi 41256, Indonesia.; VINA EKA ARISTYA, Assessment Institute of Agricultural Technology (AIAT) Central Java, Ungaran 50552, Indonesia.; LEONARDUS Y. KRISNADI, Assessment Institute of Agricultural Technology (AIAT) East Java, Malang 65152, Indonesia.; ALENCAR JUNIOR ZANON, Universidade Federal de Santa Maria, Avenida Roraima n° 1000, 97105-900 Santa Maria, Rio Grande do Sul, Brazil.; ALEXANDRE BRYAN HEINEMANN, EMBRAPA Arroz e Feijão, Zona Rural GO-462, Santo Antônio de Goiás, Goias 75375-000, Brazil.; JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NATARAJA SUBASH, ICAR-Indian Institute of Farming Systems Research, Modipuram 250110 Uttar Pradesh, India.; POTHULA S. BRAHMANAND, ICAR-Indian Institute of Water Management, Bhubaneswar 751023 Odisha, India.; TAO LI, Applied GeoSolutions, DNDC Applications Research and Training, Durham, NH 03824, USA; 5APPLIED GEOSOLUTIONS, DNDC APPLICATIONS RESEARCH AND TRAINING, DURHAM, NH 03824, USA, Huazhong Agriculture University (HZAU), China.; PATRICIO GRASSINI, University of Nebraska - Lincoln. |
Título : |
Sustainable intensification for a larger global rice bowl. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Nature Communications, December 2021, Article number 7163. OPEN ACCESS. doi: https://doi.org/10.1038/s41467-021-27424-z |
Páginas : |
11 p. |
DOI : |
10.1038/s41467-021-27424-z |
Idioma : |
Inglés |
Notas : |
Article history: Received: 7 April 2021; Accepted: 17 November 2021; Published online 09 December 2021.
Correspondence author: pgrassini2@unl.edu; speng@mail.hzau.edu.cn |
Contenido : |
Future rice systems must produce more grain while minimizing the negative environmental impacts. A key question is how to orient agricultural research & development (R&D) programs at national to global scales to maximize the return on investment. Here we assess yield gap and resource-use efficiency (including water, pesticides, nitrogen, labor, energy, and associated global warming potential) across 32 rice cropping systems covering half of global rice harvested area. We show that achieving high yields and high resource-use efficiencies are not conflicting goals. Most cropping systems have room for increasing yield, resource-use efficiency, or both. In aggregate, current total rice production could be increased by 32%, and excess nitrogen almost eliminated, by focusing on a relatively small number of cropping systems with either large yield gaps or poor resource-use efficiencies. This study provides essential strategic insight on yield gap and resource-use efficiency for prioritizing national
and global agricultural R&D investments to ensure adequate rice supply while minimizing negative environmental impact in coming decades. |
Palabras claves : |
ARROZ; INTENSIFICACIÓN DE LA AGRICULTURA; INTENSIFICACIÓN SOSTENIBLE; RICE. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16177/1/Nature-Communications-Yuan-.pdf
https://www.nature.com/articles/s41467-021-27424-z
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Marc : |
LEADER 02454naa a2200409 a 4500 001 1062624 005 2022-01-10 008 2021 bl uuuu u00u1 u #d 024 7 $a10.1038/s41467-021-27424-z$2DOI 100 1 $aYUAN, S. 245 $aSustainable intensification for a larger global rice bowl.$h[electronic resource] 260 $c2021 300 $a11 p. 500 $aArticle history: Received: 7 April 2021; Accepted: 17 November 2021; Published online 09 December 2021. Correspondence author: pgrassini2@unl.edu; speng@mail.hzau.edu.cn 520 $aFuture rice systems must produce more grain while minimizing the negative environmental impacts. A key question is how to orient agricultural research & development (R&D) programs at national to global scales to maximize the return on investment. Here we assess yield gap and resource-use efficiency (including water, pesticides, nitrogen, labor, energy, and associated global warming potential) across 32 rice cropping systems covering half of global rice harvested area. We show that achieving high yields and high resource-use efficiencies are not conflicting goals. Most cropping systems have room for increasing yield, resource-use efficiency, or both. In aggregate, current total rice production could be increased by 32%, and excess nitrogen almost eliminated, by focusing on a relatively small number of cropping systems with either large yield gaps or poor resource-use efficiencies. This study provides essential strategic insight on yield gap and resource-use efficiency for prioritizing national and global agricultural R&D investments to ensure adequate rice supply while minimizing negative environmental impact in coming decades. 653 $aARROZ 653 $aINTENSIFICACIÓN DE LA AGRICULTURA 653 $aINTENSIFICACIÓN SOSTENIBLE 653 $aRICE 700 1 $aLINQUIST, B. A. 700 1 $aWILSON, L. T. 700 1 $aCASSMAN, K. G. 700 1 $aSTUART, A. M. 700 1 $aPEDE, V. 700 1 $aSAITO, K. 700 1 $aAGUSTIANI, N. 700 1 $aARISTYA, V. E. 700 1 $aKRISNADI, L. Y. 700 1 $aZANON, A.J. 700 1 $aHEINEMANN, A. B. 700 1 $aCARRACELAS, G. 700 1 $aSUBASH, N. 700 1 $aBRAGMANAND, P. S. 700 1 $aLI, T. 700 1 $aPENG, S. 700 1 $aGRASSINI, P. 773 $tNature Communications, December 2021, Article number 7163. OPEN ACCESS. doi: https://doi.org/10.1038/s41467-021-27424-z
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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. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
08/11/2017 |
Actualizado : |
28/09/2018 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
AZZIMONTI, G.; GARCIA, R.; GONZALEZ, N.; DOMENIGUINI, V.; CAROLINA SAINT-PIERRE, C.; SINGH, P.K.; QUINCKE, M.; PEREYRA, S.; GERMAN, S. |
Afiliación : |
GUSTAVO AZZIMONTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICHARD ANSELMO GARCIA USUCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NESTOR RICARDO GONZALEZ PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VANESA DOMENIGUINI RIVOIR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA SAINT-PIERRE, Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, México .; PAWAN K. SINGH2, Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, México .; MARTIN CONRADO QUINCKE WALDEN, 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. |
Título : |
Field-based phenotyping for wheat diseases within a new multiple diseases platform in Uruguay: promoting germplasm sharing to increase resistance diversity. |
Complemento del título : |
P 309-Topic: Future of Wheat Improvement in Different Parts of the World. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
In: Buerstmayr, H.; Lang-Mladek, C.; Steiner, B.; Michel, S.; Buerstmayr, M.; Lemmens, M.; Vollmann, J.; Grausgruber, H. (Eds.). Proceedings of the 13th International Wheat Genetics Symposium. Tulln, Austria; April 23-28, 2017. |
Páginas : |
p.485. |
Idioma : |
Inglés |
Contenido : |
Key message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines.
Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expression of plant resistance is optimal. Disease variables are measured at more than one date, to determine the response of the material to the disease at different moments of the epidemic development. Plant height, heading date, growth stage at disease scoring dates and agronomic score are also measured. In 2016, 1544 genotypes were screened for the three diseases. These materials had diversified origins (ten different institutions, public and private, from six countries) and were of different types: from recent commercialized cultivars to ancient ones, advanced lines, International CIMMYT nurseries, mapping populations or association mapping panels. Disease variables were measured at three dates for all materials, except for FHB trial, with two measurements dates. Genotypes could be selected because of their high level of resistance for each set of material (from each institution) in the FHB, STB and LR trial. A 9% to 25% range of genotypes were found highly resistant when selected only from one disease. From these resistant genotypes, up to 5% were resistant against two diseases and near 2% were resistant to the three diseases screened. Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the precision and prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines. MenosKey message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines.
Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expressio... Presentar Todo |
Palabras claves : |
ENFERMEDADES DE LAS PLANTAS; ENFERMEDADES DEL TRIGO; FENOTIPADO; WHEAT. |
Thesagro : |
RESISTENCIA; TRIGO; URUGUAY. |
Asunto categoría : |
H20 Enfermedades de las plantas |
Marc : |
LEADER 03972nam a2200301 a 4500 001 1057734 005 2018-09-28 008 2017 bl uuuu u01u1 u #d 100 1 $aAZZIMONTI, G. 245 $aField-based phenotyping for wheat diseases within a new multiple diseases platform in Uruguay$bpromoting germplasm sharing to increase resistance diversity.$h[electronic resource] 260 $aIn: Buerstmayr, H.; Lang-Mladek, C.; Steiner, B.; Michel, S.; Buerstmayr, M.; Lemmens, M.; Vollmann, J.; Grausgruber, H. (Eds.). Proceedings of the 13th International Wheat Genetics Symposium. Tulln, Austria; April 23-28$c2017 300 $ap.485. 520 $aKey message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines. Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expression of plant resistance is optimal. Disease variables are measured at more than one date, to determine the response of the material to the disease at different moments of the epidemic development. Plant height, heading date, growth stage at disease scoring dates and agronomic score are also measured. In 2016, 1544 genotypes were screened for the three diseases. These materials had diversified origins (ten different institutions, public and private, from six countries) and were of different types: from recent commercialized cultivars to ancient ones, advanced lines, International CIMMYT nurseries, mapping populations or association mapping panels. Disease variables were measured at three dates for all materials, except for FHB trial, with two measurements dates. Genotypes could be selected because of their high level of resistance for each set of material (from each institution) in the FHB, STB and LR trial. A 9% to 25% range of genotypes were found highly resistant when selected only from one disease. From these resistant genotypes, up to 5% were resistant against two diseases and near 2% were resistant to the three diseases screened. Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the precision and prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines. 650 $aRESISTENCIA 650 $aTRIGO 650 $aURUGUAY 653 $aENFERMEDADES DE LAS PLANTAS 653 $aENFERMEDADES DEL TRIGO 653 $aFENOTIPADO 653 $aWHEAT 700 1 $aGARCIA, R. 700 1 $aGONZALEZ, N. 700 1 $aDOMENIGUINI, V. 700 1 $aCAROLINA SAINT-PIERRE, C. 700 1 $aSINGH, P.K. 700 1 $aQUINCKE, M. 700 1 $aPEREYRA, S. 700 1 $aGERMAN, S.
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