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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
21/02/2014 |
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Actualizado : |
21/08/2017 |
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Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
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Autor : |
SAN JULIÁN, R.; MONTOSSI, F.; SCAGLIA, G.; CASTRO, L.; CÁNEPA, G.; ROBAINA, R.; ABRAHAM, D. |
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Afiliación : |
ROBERTO SAN JULIAN SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUILLERMO SCAGLIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Producción de carne ovina de calidad en sistemas ganderos de basalto y cristalino del este. |
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Fecha de publicación : |
1999 |
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Fuente / Imprenta : |
El País Agropecuario, 1999, no. 47, p. 23-26. |
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Idioma : |
Español |
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Thesagro : |
CALIDAD; CARNE; OVINOS; PRODUCCION DE CARNE. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7206/1/El-Pais-Agropecuario-1999-47-SAN-JULIAN.pdf
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Marc : |
LEADER 00620naa a2200229 a 4500
001 1032948
005 2017-08-21
008 1999 bl uuuu u00u1 u #d
100 1 $aSAN JULIÁN, R.
245 $aProducción de carne ovina de calidad en sistemas ganderos de basalto y cristalino del este.
260 $c1999
650 $aCALIDAD
650 $aCARNE
650 $aOVINOS
650 $aPRODUCCION DE CARNE
700 1 $aMONTOSSI, F.
700 1 $aSCAGLIA, G.
700 1 $aCASTRO, L.
700 1 $aCÁNEPA, G.
700 1 $aROBAINA, R.
700 1 $aABRAHAM, D.
773 $tEl País Agropecuario, 1999, no. 47, p. 23-26.
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Registro original : |
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. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
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Fecha actual : |
25/01/2019 |
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Actualizado : |
22/12/2020 |
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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 : |
PRAVIA, V.; KEMANIAN, A. R.; TERRA, J.A.; SHI, Y.; MACEDO, I.; GOSLEE, S. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ARMEN R. KEMANIAN, Department of Plant Science, The Pennsylvania State University, USA.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; YUNING SHI, Department of Ecosystem Science and Management, The Pennsylvania State University, USA.; IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SARAH GOSLEE, Pasture Systems and Watershed Management Research Unit, USDA-ARS, USA. |
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Título : |
Soil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Agricultural Systems, May 2019, volume 171, pages 13-22. |
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ISSN : |
0308-521X |
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DOI : |
10.1016/j.agsy.2018.11.001 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 30 December 2017 // Received in revised form 2 November 2018 // Accepted 2 November 2018.
Funding for this work was provided by the Instituto Nacional de Investigación Agropecuaria (INIA-Uruguay) and the USDA-ARS Research Agreement Contract #58-1902-1-165 (Modeling of multispecies pasture growth and management). Appendices. |
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Contenido : |
ABSTRACT.
Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that Cs saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling Cs saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems.
© 2018 Elsevier Ltd MenosABSTRACT.
Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N a... Presentar Todo |
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Palabras claves : |
AGROECOSYSTEM MODELING; CROP PASTURE INTERSEEDNG; LONG-TERM EXPERIMENTS; SOIL ORGANIC MATTER. |
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Thesagro : |
CARBONO ORGANICO DEL SUELO. |
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Asunto categoría : |
--
P34 Biología del suelo |
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Marc : |
LEADER 03007naa a2200277 a 4500
001 1059451
005 2020-12-22
008 2019 bl uuuu u00u1 u #d
022 $a0308-521X
024 7 $a10.1016/j.agsy.2018.11.001$2DOI
100 1 $aPRAVIA, V.
245 $aSoil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 30 December 2017 // Received in revised form 2 November 2018 // Accepted 2 November 2018. Funding for this work was provided by the Instituto Nacional de Investigación Agropecuaria (INIA-Uruguay) and the USDA-ARS Research Agreement Contract #58-1902-1-165 (Modeling of multispecies pasture growth and management). Appendices.
520 $aABSTRACT. Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a Cs saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha−1, respectively. Measurements show Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha−1 y−1 of C). The model captured this Cs dynamics and performed better when using the Cs saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha−1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil Cs distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that Cs saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling Cs saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems. © 2018 Elsevier Ltd
650 $aCARBONO ORGANICO DEL SUELO
653 $aAGROECOSYSTEM MODELING
653 $aCROP PASTURE INTERSEEDNG
653 $aLONG-TERM EXPERIMENTS
653 $aSOIL ORGANIC MATTER
700 1 $aKEMANIAN, A. R.
700 1 $aTERRA, J.A.
700 1 $aSHI, Y.
700 1 $aMACEDO, I.
700 1 $aGOSLEE, S.
773 $tAgricultural Systems, May 2019, volume 171, pages 13-22.
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