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| 3. | | NASCIMENTO, D. C.; DINI, M.; MOREIRA, R. M.; SAMPAIO, N. V.; SCHUCH, M. W. Minicutting of chardonnay grapevine and SO4 grapevine rootstock. Revista Científica Rural, Bagé-RS, 2019, volume 21, no 3, p. 270-281. OPEN ACCESS. DOI: https://doi.org/10.30945/rcr-v21i3.3050 Article history: Submitted June 20, 2019; Accepted November 14, 2019.| Biblioteca(s): INIA Las Brujas. |
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| 4. | | PITTALUGA, O.; BRITO, G.; SOARES DE LIMA, J.M.; DEL CAMPO, M.; ZAMIT, W.; DA CUÑA, K.; PIÑEIRO, J.; PIÑEIRO, A.; LAGOMARSINO, X.; OLIVERA, J.; TRINDADE, G.; ARRIETA, G.; MOREIRA, R. Efecto de diferentes dietas sobre el crecimiento animal, el rendimiento carnicero y la calidad de la carne. ln: INIA TACUAREMBÓ. ESTACIÓN EXPERIMENTAL GLENCOE. Día de campo. Producción animal, pasturas y forestal. Estación Experimental Glencoe, Paysandú, octubre, 2005. Tacuarembó (Uruguay): INIA, 2005. p. 43-50 (INIA Serie Actividades de Difusión ; 431)| Biblioteca(s): INIA Tacuarembó. |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
24/02/2021 |
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Actualizado : |
24/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
-- - -- |
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Autor : |
TSENG, M.C.; ROEL, A.; MACEDO, I.; MARELLA, M.; TERRA, J.A.; ZORRILLA DE SAN MARTÍN, G.; PITTELKOW, C. M. |
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Afiliación : |
MENG-CHUN TSENG, University of Illinois-Urbana-Champaign. Department of Crop Sciences. USA.; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MUZIO MARELLA, SAMAN (Sociedad Anónima Molinos Arroceros Nacionales), Uruguay.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GONZALO ROBERTO ZORRILLA DE SAN MARTÍN PEREYRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAMERON M. PITTELKOW, University of Illinois-Urbana-Champaign. Department of Crop Sciences. USA / UC Davis. Department of Plant Sciences. USA. |
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Título : |
Field-level factors for closing yield gaps in high-yielding rice systems of Uruguay. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Field Crops Research, February 2021, vol. 264, no. 108097. Doi: https://doi.org/10.1016/j.fcr.2021.108097 |
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Páginas : |
12 p. |
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DOI : |
10.1016/j.fcr.2021.108097 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 9 April 2020 / Received in revised form 12 January 2021 / Accepted 5 February 2021 / Available online 24 February 2021. |
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Contenido : |
Abstract:
Yield gap assessments at the field-level are key for developing management practices to increase crop production in a sustainable manner. Although rice is an important food crop worldwide, yield gaps remain less investigated in Latin American rice systems. In this study, we evaluated field-level factors for closing yield gaps (based on
attainable farm yield, defined as the mean of top 10 % of farmers) for rice production in Uruguay using crop management and yield records from 2012 to 2017, covering approximately 70,000 ha per year (40 % of total rice area). The mean annual attainable yield gap ranged from 16 % to 22 % in fields with non-hybrid cultivars (90 %
of planted area) and from 14 % to 22 % in fields with hybrid rice (10 % of planted area). Early seeding was identified as the most influential factor for reducing yield gaps in both systems, followed by N rate. Stand establishment was also important for closing yield gap in non-hybrid fields, while rotation with improved pasture was important in hybrid fields. When variables were categorized as input-related, manageable, or nonmanageable, on average manageable factors (e.g. early planting and stand stablishment) were more important than input-related factors (e.g. seed or fertilizer rate). This study highlights a simple, self-contained method using large field-level datasets to quantify yield gaps and develop strategies for improving agricultural productivity. |
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Palabras claves : |
CROP MANAGEMENT; RICE; SISTEMA ARROZ-PASTURAS; SOUTH AMERICA; YIELD GAP. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02446naa a2200289 a 4500
001 1061757
005 2021-02-24
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1016/j.fcr.2021.108097$2DOI
100 1 $aTSENG, M.C.
245 $aField-level factors for closing yield gaps in high-yielding rice systems of Uruguay.$h[electronic resource]
260 $c2021
300 $a12 p.
500 $aArticle history: Received 9 April 2020 / Received in revised form 12 January 2021 / Accepted 5 February 2021 / Available online 24 February 2021.
520 $aAbstract: Yield gap assessments at the field-level are key for developing management practices to increase crop production in a sustainable manner. Although rice is an important food crop worldwide, yield gaps remain less investigated in Latin American rice systems. In this study, we evaluated field-level factors for closing yield gaps (based on attainable farm yield, defined as the mean of top 10 % of farmers) for rice production in Uruguay using crop management and yield records from 2012 to 2017, covering approximately 70,000 ha per year (40 % of total rice area). The mean annual attainable yield gap ranged from 16 % to 22 % in fields with non-hybrid cultivars (90 % of planted area) and from 14 % to 22 % in fields with hybrid rice (10 % of planted area). Early seeding was identified as the most influential factor for reducing yield gaps in both systems, followed by N rate. Stand establishment was also important for closing yield gap in non-hybrid fields, while rotation with improved pasture was important in hybrid fields. When variables were categorized as input-related, manageable, or nonmanageable, on average manageable factors (e.g. early planting and stand stablishment) were more important than input-related factors (e.g. seed or fertilizer rate). This study highlights a simple, self-contained method using large field-level datasets to quantify yield gaps and develop strategies for improving agricultural productivity.
653 $aCROP MANAGEMENT
653 $aRICE
653 $aSISTEMA ARROZ-PASTURAS
653 $aSOUTH AMERICA
653 $aYIELD GAP
700 1 $aROEL, A.
700 1 $aMACEDO, I.
700 1 $aMARELLA, M.
700 1 $aTERRA, J.A.
700 1 $aZORRILLA DE SAN MARTÍN, G.
700 1 $aPITTELKOW, C. M.
773 $tField Crops Research, February 2021, vol. 264, no. 108097. Doi: https://doi.org/10.1016/j.fcr.2021.108097
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