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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
30/09/2021 |
Actualizado : |
30/09/2021 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
BERRUETA, C.; GIMÉNEZ, G.; FALERO, M. |
Afiliación : |
MARIA CECILIA BERRUETA MOREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO GIMÉNEZ FRANQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCELO FABIAN FALERO DELGADO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Finger weeder (escarbador de dedos): herramienta para el control mecánico de malezas entre las plantas. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Revista INIA Uruguay, Setiembre 2021, no.66, p. 113-114. |
Serie : |
(Revista INIA; 66). |
ISSN : |
1510-9011 |
Idioma : |
Español |
Contenido : |
El manejo efectivo de malezas requiere un abordaje integral de la problemática, combinando varias estrategias de control como: laboreo adecuado de suelo, evitar la floración y formación de semillas de las malezas para reducir el banco de semillas, cultivo de abonos verdes, solarización, control manual, uso de mulch, control mecánico y utilización de herbicidas.
Cuando no se dispone de herbicidas efectivos para las malezas presentes y, a su vez, selectivos para los cultivos y cuando se pretende reducir su uso en manejos más conservacionistas del ambiente, el control mecánico de malezas es imprescindible. |
Palabras claves : |
CONTROL MECÁNICO; LABOREO DEL SUELO. |
Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16020/1/Revista-INIA-66-Setiembre-2021-27.pdf
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Marc : |
LEADER 01211naa a2200193 a 4500 001 1062438 005 2021-09-30 008 2021 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aBERRUETA, C. 245 $aFinger weeder (escarbador de dedos)$bherramienta para el control mecánico de malezas entre las plantas.$h[electronic resource] 260 $c2021 490 $a(Revista INIA; 66). 520 $aEl manejo efectivo de malezas requiere un abordaje integral de la problemática, combinando varias estrategias de control como: laboreo adecuado de suelo, evitar la floración y formación de semillas de las malezas para reducir el banco de semillas, cultivo de abonos verdes, solarización, control manual, uso de mulch, control mecánico y utilización de herbicidas. Cuando no se dispone de herbicidas efectivos para las malezas presentes y, a su vez, selectivos para los cultivos y cuando se pretende reducir su uso en manejos más conservacionistas del ambiente, el control mecánico de malezas es imprescindible. 653 $aCONTROL MECÁNICO 653 $aLABOREO DEL SUELO 700 1 $aGIMÉNEZ, G. 700 1 $aFALERO, M. 773 $tRevista INIA Uruguay, Setiembre 2021, no.66, p. 113-114.
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INIA Treinta y Tres (TT) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
12/02/2020 |
Actualizado : |
12/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BERRUETA, C.; HEUVELINK, E.; GIMÉNEZ, G.; DOGLIOTTI, S. |
Afiliación : |
MARIA CECILIA BERRUETA MOREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EP HEUVELINK, Horticulture and Product Physiology, Wageningen UR, Wageningen, the Netherlands; GUSTAVO GIMÉNEZ FRANQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO DOGLIOTTI MORO, Departamento de Producción Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay. |
Título : |
Estimation of tomato yield gaps for greenhouse in Uruguay. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Scientia Horticulturae, 30 April 2020, Volume 265, 109250. Doi: https://doi.org/10.1016/j.scienta.2020.109250 |
DOI : |
10.1016/j.scienta.2020.109250 |
Idioma : |
Inglés |
Notas : |
Article history: Received 28 September 2018 / Revised 20 January 2020 / Accepted 30 January 2020 / Available online 7 February 2020. |
Contenido : |
ABSTRACT.
Yield gap analysis is a powerful method to explore gap?s breadth between potential yields, attainable and those realized in farmers? fields, identifying constraints to production and assess opportunities to yield increase. We assessed yields and yield components across two seasons, in 110 greenhouse tomato (Solanum lycopersicum) crops during 2014/15 and 2015/16 in the south region of Uruguay, and compared them with potential and attainable yield. Potential yield was calculated with a simulation model based on photosynthetic active radiation (PAR) and light use efficiency, and TOMSIM to estimate assimilate partition and fruit yield. Since yield was primarily determined by cumulative PAR intercepted, a boundary function was fitted to estimate attainable yield as a function of cumulative PAR intercepted. Our study quantified a yield gap of 10.7 kg m−2 or 44 % relative to potential. Overall gap was divided into three components: difference between actual and attainable (45 % of total gap), attainable and potential with actual greenhouse PAR transmissivity (29 % of total gap) and between potential with actual transmissivity and potential with 70 % of greenhouse transmissivity (26 % of total gap). For long summer and short spring/summer crops the greatest impact in yield could be obtained by increasing leaf area index by reducing plant lowering operations and leaf pruning intensity, and by increasing plant density. For autumn crops, yield could be improved by earlier planting, reducing leaf pruning intensity after harvest beginning, and increasing greenhouse transmissivity by more frequent plastic cover renewal and removing roofs? shading screens and whitening.
© 2020 Elsevier B.V. All rights reserved. MenosABSTRACT.
Yield gap analysis is a powerful method to explore gap?s breadth between potential yields, attainable and those realized in farmers? fields, identifying constraints to production and assess opportunities to yield increase. We assessed yields and yield components across two seasons, in 110 greenhouse tomato (Solanum lycopersicum) crops during 2014/15 and 2015/16 in the south region of Uruguay, and compared them with potential and attainable yield. Potential yield was calculated with a simulation model based on photosynthetic active radiation (PAR) and light use efficiency, and TOMSIM to estimate assimilate partition and fruit yield. Since yield was primarily determined by cumulative PAR intercepted, a boundary function was fitted to estimate attainable yield as a function of cumulative PAR intercepted. Our study quantified a yield gap of 10.7 kg m−2 or 44 % relative to potential. Overall gap was divided into three components: difference between actual and attainable (45 % of total gap), attainable and potential with actual greenhouse PAR transmissivity (29 % of total gap) and between potential with actual transmissivity and potential with 70 % of greenhouse transmissivity (26 % of total gap). For long summer and short spring/summer crops the greatest impact in yield could be obtained by increasing leaf area index by reducing plant lowering operations and leaf pruning intensity, and by increasing plant density. For autumn crops, yield could be improved by... Presentar Todo |
Palabras claves : |
Light interception; Solanum lycopersicum; TOMSIM; Yield components; Yield potentail. |
Asunto categoría : |
F01 Cultivo |
Marc : |
LEADER 02610naa a2200241 a 4500 001 1060797 005 2020-02-12 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1016/j.scienta.2020.109250$2DOI 100 1 $aBERRUETA, C. 245 $aEstimation of tomato yield gaps for greenhouse in Uruguay.$h[electronic resource] 260 $c2020 500 $aArticle history: Received 28 September 2018 / Revised 20 January 2020 / Accepted 30 January 2020 / Available online 7 February 2020. 520 $aABSTRACT. Yield gap analysis is a powerful method to explore gap?s breadth between potential yields, attainable and those realized in farmers? fields, identifying constraints to production and assess opportunities to yield increase. We assessed yields and yield components across two seasons, in 110 greenhouse tomato (Solanum lycopersicum) crops during 2014/15 and 2015/16 in the south region of Uruguay, and compared them with potential and attainable yield. Potential yield was calculated with a simulation model based on photosynthetic active radiation (PAR) and light use efficiency, and TOMSIM to estimate assimilate partition and fruit yield. Since yield was primarily determined by cumulative PAR intercepted, a boundary function was fitted to estimate attainable yield as a function of cumulative PAR intercepted. Our study quantified a yield gap of 10.7 kg m−2 or 44 % relative to potential. Overall gap was divided into three components: difference between actual and attainable (45 % of total gap), attainable and potential with actual greenhouse PAR transmissivity (29 % of total gap) and between potential with actual transmissivity and potential with 70 % of greenhouse transmissivity (26 % of total gap). For long summer and short spring/summer crops the greatest impact in yield could be obtained by increasing leaf area index by reducing plant lowering operations and leaf pruning intensity, and by increasing plant density. For autumn crops, yield could be improved by earlier planting, reducing leaf pruning intensity after harvest beginning, and increasing greenhouse transmissivity by more frequent plastic cover renewal and removing roofs? shading screens and whitening. © 2020 Elsevier B.V. All rights reserved. 653 $aLight interception 653 $aSolanum lycopersicum 653 $aTOMSIM 653 $aYield components 653 $aYield potentail 700 1 $aHEUVELINK, E. 700 1 $aGIMÉNEZ, G. 700 1 $aDOGLIOTTI, S. 773 $tScientia Horticulturae, 30 April 2020, Volume 265, 109250. Doi: https://doi.org/10.1016/j.scienta.2020.109250
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