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3. |  | QUINTANS, G.; BANCHERO, G.; CARRIQUIRY, M.; LÓPEZ, C.; BALDI, F. Efecto de la condición corporal y la restricción del amamantamiento con y sin presencia del ternero sobre la producción de leche, anestro posparto y crecimiento de los terneros Capítulo 3. Alternativas de manejo nutricional, control del amamantamiento y tratamientos hormonales durante el posparto. In: QUINTANS, G.; VELAZCO, J.I.; ROIG, G. (Eds.). Seminario de actualización técnica: cría vacuna. Montevideo (Uruguay): INIA, 2008. p. 172-181 (INIA Serie Técnica ; 174)Biblioteca(s): INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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4. |  | LÓPEZ-MAZZ, C.; QUINTANS, G.; BALDI, F.; BANCHERO, G. Efecto de la esquila a los 50 días de gestación sobre la condición corporal, concentración de ácidos grasos no esterificados en plasma de la oveja y peso vivo de los corderos al nacimiento. En: Congreso Asociación Uruguaya de Producción Animal (AUPA) (5º, 2014, Montevideo, UY). 2014. [Actas], Montevideo, Uruguay. Disponibles desde la página web de la AUPA.Biblioteca(s): INIA Treinta y Tres. |
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12. |  | LÓPEZ MAZZ, C.; BALDI, F.; QUINTANS, G.; REGUEIRO, M.; BANCHERO, G. Effect of early shearing on the productive performance of offspring in their first 18 months of age.[Poster]. In: Annual Meeting of the European Federation of Animal Science (EAAP), 69., 2018, Dubrovnik, Croatia. Book of abstracts... Wageningen, NL: WAP, 2018. p. 516.Biblioteca(s): INIA Treinta y Tres. |
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14. |  | BATISTA, C.; VELAZCO, J.I.; BALDI, F.; BANCHERO, G.; QUINTANS, G. Efecto del consumo de energía durante el último tercio de gestación de vacas de carne sobre sus perfiles de hormonas metabólicas y los de su progenie. In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR). FACULTAD DE AGRONOMÍA. Resúmenes. Jornadas de Investigación, 8-9 nov., 2018, Montevideo, Uruguay. Montevideo; FAGRO, 2019. p. 25Biblioteca(s): INIA Treinta y Tres. |
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15. |  | LÓPEZ-MAZZ, C.; BALDI, F.; QUINTANS, G.; REGUEIRO, M.; BANCHERO, G. Efecto de la esquila en el primer tercio de gestación sobre la performance de la descendencia. In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR). FACULTAD DE AGRONOMÍA. Resúmenes. Jornadas de Investigación, 8-9 nov., 2018, Montevideo, Uruguay. Montevideo; FAGRO, 2019. p. 42 Trabajo originalmente publicado en: López-Mazz, C.; Baldi, F.; Quintans, G.; Regueiro, M.; Banchero, G. 2018. Effect of shearing in the first third of gestation on the productive performance of male offspring during their first 18...Biblioteca(s): INIA Treinta y Tres. |
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17. |  | PIAGGIO, L.; FERREIRA, G.; MARICHAL, M.J.; SAN JULIÁN, R.; BALDI, F.; BANCHERO, G. Growth, carcass and feed efficiency traits of lambs born to ewes restricted during mid gestation. In: ANNUAL MEETING OF THE EUROPEAN FEDERATION OF ANIMAL SCIENCE, 67a., 2016. Belfast, UK: EEAP. p. 183 + Abstract poster.Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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18. |  | FERREIRA, G.; QUINTANS, G.; BRITO, G.; BALDI, F.; BANCHERO, G.; PIAGGIO, L. Peso al nacimiento, destete y a la faena en la progenie de ovejas restringidas nutricionalmente desde día 45 al 115 de gestación. In: Congreso Asociación Uruguaya de Producción Animal (AUPA) (5º, 3-4 Dic. 2014, Montevideo, UY).Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
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19. |  | PIAGGIO, L; DESCHENAUX, H.; BALDI, F.; FIERRO, S.; QUINTANS, G.; BANCHERO, G. Plane of nutrition of Corriedale ewe lambs from foetal life to the onset of breeding affects weight at service and reproductive outcome. Animal Production Science, v. 55, n. 8, p. 1011-1017, 2015. Article history: Received 21 June 2013, accepted 27 May 2014, published online 15 September 2014.Biblioteca(s): INIA La Estanzuela; INIA Treinta y Tres. |
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20. |  | BANCHERO, G.; BALDI, F.; GONZALEZ, D.; LUZARDO, S.; FIERRO, S.; QUINTANS, G. Realimentar las ovejas ad libitum luego de una restricción energética durante la mitad de la gestación no afectó el desempeño animal, el inicio de pubertad ni la tasa ovulatoria de las corderas. In: QUINTANS, G.; IEWDIUKOW, M. (Ed.). Primer Seminario Técnico de Programación Fetal. Montevideo (UY): INIA, 2019. p. 89-98. (INIA Serie Técnica; 252)Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
|
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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