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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 : |
17/10/2018 |
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Actualizado : |
11/03/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
ZARZA, R.; REBUFFO, M.; LA MANNA, A.; BALZARINI, M. |
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Afiliación : |
RODRIGO TABARE ZARZA FUENTES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MONICA IRENE REBUFFO GFELLER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MÓNICA BALZARINI, Universidad Nacional de Córdoba, Facultad de Ciencias Agropecuarias, Córdoba, Argentina. |
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Título : |
Plant density in red clover (Trifolium pratense L.) pastures as an early predictor of forage production. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
European Journal of Agronomy, November 2018, v. 101, p. 193-199. Doi: https://doi.org/10.1016/j.eja.2018.10.004 |
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DOI : |
10.1016/j.eja.2018.10.004 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 6 March 2018// Received in revised form 3 October 2018// Accepted 8 October 2018. |
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Contenido : |
ABSTRACT.-
Red clover (Trifolium pratense L.) is an alternative of great potential productivity for dairy systems, particularly in heavily compacted soils. Plant density (PD) during pasture establishment can be related to forage production and used as an early indicator of pasture quality. However, biomass predictive models for red clover are not readily available. To predict red clover biomass a few weeks after sowing would help farmers to adopt suitable management practices. The aim of this paper has therefore been to model the relationship between red clover biomass and PD at different time points during pasture establishment to identify the best monitoring moment for
estimating future herbage productivity. A multi-environment trial, including several seeding rates simulating different levels of establishment within each of the nine environments, was conducted in Uruguay. Seedlings were counted 3, 7 and 12 weeks after sowing (WS). Biomass of first-cut (C1) harvest was linearly related to PD at
7 WS, whereas a second-order polynomial on PD at 7 WS was a significant predictor of accumulated biomass one (Y1) and two (Y2) years after sowing. PD at 3 WS was a strong predictor of biomass only in high-yielding environments. In such environments, more than 64 plants m?2 at 3 WS suggest a high probability of achieving
annual yields above 10,000 kg DM ha-1. Therefore, early PD determination (3 or 7 WS) is a good indicator of annual productivity in pure red clover pastures. |
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Palabras claves : |
DENSIDAD DE PLANTAS; FORAGE BIOMASS; GRASSLAND; PASTURE ESTABLISHMENT; PASTURES; PLANT DENSITY; PREDICTIVE MODEL; PRODUCCIÓN FORRAJERA. |
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Thesagro : |
FORRAJES; LEGUMINOSAS; PASTURAS; TREBOL ROJO; TRIFOLIUM PRATENSE. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02604naa a2200337 a 4500
001 1059208
005 2021-03-11
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1016/j.eja.2018.10.004$2DOI
100 1 $aZARZA, R.
245 $aPlant density in red clover (Trifolium pratense L.) pastures as an early predictor of forage production.$h[electronic resource]
260 $c2018
500 $aArticle history: Received 6 March 2018// Received in revised form 3 October 2018// Accepted 8 October 2018.
520 $aABSTRACT.- Red clover (Trifolium pratense L.) is an alternative of great potential productivity for dairy systems, particularly in heavily compacted soils. Plant density (PD) during pasture establishment can be related to forage production and used as an early indicator of pasture quality. However, biomass predictive models for red clover are not readily available. To predict red clover biomass a few weeks after sowing would help farmers to adopt suitable management practices. The aim of this paper has therefore been to model the relationship between red clover biomass and PD at different time points during pasture establishment to identify the best monitoring moment for estimating future herbage productivity. A multi-environment trial, including several seeding rates simulating different levels of establishment within each of the nine environments, was conducted in Uruguay. Seedlings were counted 3, 7 and 12 weeks after sowing (WS). Biomass of first-cut (C1) harvest was linearly related to PD at 7 WS, whereas a second-order polynomial on PD at 7 WS was a significant predictor of accumulated biomass one (Y1) and two (Y2) years after sowing. PD at 3 WS was a strong predictor of biomass only in high-yielding environments. In such environments, more than 64 plants m?2 at 3 WS suggest a high probability of achieving annual yields above 10,000 kg DM ha-1. Therefore, early PD determination (3 or 7 WS) is a good indicator of annual productivity in pure red clover pastures.
650 $aFORRAJES
650 $aLEGUMINOSAS
650 $aPASTURAS
650 $aTREBOL ROJO
650 $aTRIFOLIUM PRATENSE
653 $aDENSIDAD DE PLANTAS
653 $aFORAGE BIOMASS
653 $aGRASSLAND
653 $aPASTURE ESTABLISHMENT
653 $aPASTURES
653 $aPLANT DENSITY
653 $aPREDICTIVE MODEL
653 $aPRODUCCIÓN FORRAJERA
700 1 $aREBUFFO, M.
700 1 $aLA MANNA, A.
700 1 $aBALZARINI, M.
773 $tEuropean Journal of Agronomy, November 2018$gv. 101, p. 193-199. Doi: https://doi.org/10.1016/j.eja.2018.10.004
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