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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
02/12/2020 |
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Actualizado : |
02/12/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
FARIAS, G.D.; BATISTA DEBEUX JR, J.C.; SAVIAN, J.V.; PACHERO DUARTE, L.; POSSELT MARTINS, A.; TIECHER, T.; AQUINO ALVES, L.; CARVALHO, P.C. DE FACCIO; BREMM, C. |
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Afiliación : |
GUSTAVO DUARTE FARIAS, Department of Forage Plants and Agrometeorology, Integrated Crop-Livestock System Research Group (GPSIPA), Federal University of Rio Grande do Sul.; JOSE CARLOS BATISTA DUBEUX JR., University of Florida ? North Florida Research and Education Center, Marianna, FL, USA.; JEAN VICTOR SAVIAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LÓREN PACHECO DUARTE, Department of Forage Plants and Agrometeorology, Integrated Crop-Livestock System Research Group (GPSIPA), Federal University of Rio Grande do Sul; AMANDA POSSELT MARTINS, Department of Soil Science, Interdisciplinary Research Group on Environmental Biogeochemistry (IRGEB), Federal University of Rio Grande do Sul; TALES TIECHER, Department of Soil Science, Interdisciplinary Research Group on Environmental Biogeochemistry (IRGEB), Federal University of Rio Grande do Sul.; LUCAS AQUINO ALVES, Department of Soil Science, Interdisciplinary Research Group on Environmental Biogeochemistry (IRGEB), Federal University of Rio Grande do Sul; PAULO CÉSAR DE FACCIO CARVALHO; CAROLINA, BREMM, Department of Forage Plants and Agrometeorology, Integrated Crop-Livestock System Research Group (GPSIPA), Federal University of Rio Grande do Sul. |
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Título : |
Integrated crop-livestock system with system fertilization approach improves food production and resource-use efficiency in agricultural lands. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Agronomy for Sustainable Development volume, 2020. 40, art. 39. DOI: https://doi.org/10.1007/s13593-020-00643-2 |
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DOI : |
10.1007/s13593-020-00643-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Accepted: 4 October 2020. Published: 27 October 2020. |
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Contenido : |
Integrated crop-livestock systems (ICLS) can be an alternative to increase the productivity of agroecosystems by enhancing nutrient cycling via grazing animals. Despite the holistic approach that bears the designing of ICLS, fertilization practices are proceeded in a conventional crop basis, disregarding nutrient fluxes at the appropriate spatial and temporal dynamics. We argue that fertilization practices in ICLS must follow the same integrated approach. To test this, we compared a conventional crop fertilization strategy versus a system fertilization approach applied to two production systems being a conventional cropping system and ICLS. The conventional cropping system consisted of a soybean crop succeeded by a non-grazed Italian ryegrass cover crop. The ICLS model consisted of a soybean-Italian ryegrass rotation grazed by sheep. In the conventional crop fertilization strategy phosphorus and potassium were applied at soybean sowing and nitrogen at the Italian ryegrass establishment. The system fertilization consisted of the application of all nutrients during the Italian ryegrass establishment. Accordingly, treatments were fertilization strategies in a factorial framework with production systems randomly distributed in a complete block design with four replicates. Results indicated for the first time greater daily herbage accumulation rate (24%; P < 0.01) and total herbage production (18%; P < 0.05) in the system fertilization compared with conventional crop fertilization. Consequently, system fertilization allowed for greater stocking rates in the pasture phase (17%; P < 0.05). The ICLS presented greater equivalent soybean yield (P < 0.001), energy production (P < 0.01), and system productivity (P < 0.05) compared with the cropping system, regardless of fertilization strategies. Soybean yield was not affected by fertilization strategies or grazing. In conclusion, the adoption of system fertilization strategy and crop-livestock integration enhance the production without jeopardizing soybean grain yields, so that land use is optimized by a greater energy production per unit of nutrient applied. MenosIntegrated crop-livestock systems (ICLS) can be an alternative to increase the productivity of agroecosystems by enhancing nutrient cycling via grazing animals. Despite the holistic approach that bears the designing of ICLS, fertilization practices are proceeded in a conventional crop basis, disregarding nutrient fluxes at the appropriate spatial and temporal dynamics. We argue that fertilization practices in ICLS must follow the same integrated approach. To test this, we compared a conventional crop fertilization strategy versus a system fertilization approach applied to two production systems being a conventional cropping system and ICLS. The conventional cropping system consisted of a soybean crop succeeded by a non-grazed Italian ryegrass cover crop. The ICLS model consisted of a soybean-Italian ryegrass rotation grazed by sheep. In the conventional crop fertilization strategy phosphorus and potassium were applied at soybean sowing and nitrogen at the Italian ryegrass establishment. The system fertilization consisted of the application of all nutrients during the Italian ryegrass establishment. Accordingly, treatments were fertilization strategies in a factorial framework with production systems randomly distributed in a complete block design with four replicates. Results indicated for the first time greater daily herbage accumulation rate (24%; P < 0.01) and total herbage production (18%; P < 0.05) in the system fertilization compared with conventional crop fertilizatio... Presentar Todo |
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Palabras claves : |
CROP FERTILIZATION; CROPPING SYSTEMS; GRAZING; MIXED CROP-LIVESTOCK SYSTEMS; NUTRIENT CYCLING; SOYBEAN. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 03231naa a2200313 a 4500
001 1061534
005 2020-12-02
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1007/s13593-020-00643-2$2DOI
100 1 $aFARIAS, G.D.
245 $aIntegrated crop-livestock system with system fertilization approach improves food production and resource-use efficiency in agricultural lands.$h[electronic resource]
260 $c2020
500 $aArticle history: Accepted: 4 October 2020. Published: 27 October 2020.
520 $aIntegrated crop-livestock systems (ICLS) can be an alternative to increase the productivity of agroecosystems by enhancing nutrient cycling via grazing animals. Despite the holistic approach that bears the designing of ICLS, fertilization practices are proceeded in a conventional crop basis, disregarding nutrient fluxes at the appropriate spatial and temporal dynamics. We argue that fertilization practices in ICLS must follow the same integrated approach. To test this, we compared a conventional crop fertilization strategy versus a system fertilization approach applied to two production systems being a conventional cropping system and ICLS. The conventional cropping system consisted of a soybean crop succeeded by a non-grazed Italian ryegrass cover crop. The ICLS model consisted of a soybean-Italian ryegrass rotation grazed by sheep. In the conventional crop fertilization strategy phosphorus and potassium were applied at soybean sowing and nitrogen at the Italian ryegrass establishment. The system fertilization consisted of the application of all nutrients during the Italian ryegrass establishment. Accordingly, treatments were fertilization strategies in a factorial framework with production systems randomly distributed in a complete block design with four replicates. Results indicated for the first time greater daily herbage accumulation rate (24%; P < 0.01) and total herbage production (18%; P < 0.05) in the system fertilization compared with conventional crop fertilization. Consequently, system fertilization allowed for greater stocking rates in the pasture phase (17%; P < 0.05). The ICLS presented greater equivalent soybean yield (P < 0.001), energy production (P < 0.01), and system productivity (P < 0.05) compared with the cropping system, regardless of fertilization strategies. Soybean yield was not affected by fertilization strategies or grazing. In conclusion, the adoption of system fertilization strategy and crop-livestock integration enhance the production without jeopardizing soybean grain yields, so that land use is optimized by a greater energy production per unit of nutrient applied.
653 $aCROP FERTILIZATION
653 $aCROPPING SYSTEMS
653 $aGRAZING
653 $aMIXED CROP-LIVESTOCK SYSTEMS
653 $aNUTRIENT CYCLING
653 $aSOYBEAN
700 1 $aBATISTA DEBEUX JR, J.C.
700 1 $aSAVIAN, J.V.
700 1 $aPACHERO DUARTE, L.
700 1 $aPOSSELT MARTINS, A.
700 1 $aTIECHER, T.
700 1 $aAQUINO ALVES, L.
700 1 $aCARVALHO, P.C. DE FACCIO
700 1 $aBREMM, C.
773 $tAgronomy for Sustainable Development volume, 2020. 40, art. 39. DOI: https://doi.org/10.1007/s13593-020-00643-2
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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
11/09/2014 |
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Actualizado : |
24/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
MISZTAL, I.; VITEZICA, Z.G.; LEGARRA, A.; AGUILAR, I.; SWAN, A.A. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Unknown-parent groups in single-step genomic evaluation. |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2013, v.130, no.4, p.252-258. |
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ISSN : |
0931-2668 |
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DOI : |
http://dx.doi.org/10.1111/jbg.12025 |
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Idioma : |
Inglés |
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Contenido : |
SUMMARY:.
In single-step genomic evaluation using best linear unbiased prediction (ssGBLUP), genomic predictions are calculated with a relationship matrix that combines pedigree and genomic information. For missing pedigrees, unknown selection processes, or inclusion of several populations, a BLUP model can include unknown-parent groups (UPG) in the animal effect. For ssGBLUP, UPG equations also involve contributions from genomic relationships. When those contributions are ignored, UPG solutions and genetic predictions can be biased. Options to eliminate or reduce such bias are presented. First, mixed model equations can be modified to include contributions to UPG elements from genomic relationships (greater software complexity). Second, UPG can be implemented as separate effects (higher cost of computing and data processing). Third, contributions can be ignored when they are relatively small, but they may be small only after refinements to UPG definitions. Fourth, contributions may approximately cancel out when genomic and pedigree relationships are constructed for compatibility; however, different construction steps are required for unknown parents from the same or different populations. Finally, an additional polygenic effect that also includes UPG can be added to the model.
© 2013 Blackwell Verlag GmbH. |
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Palabras claves : |
BLUP (BEST LINEAR UNBIASED PREDICTION). |
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Thesagro : |
EVALUACIÓN GENÉTICA; GENÉTICA ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 02024naa a2200229 a 4500
001 1050148
005 2021-06-24
008 2013 bl uuuu u00u1 u #d
022 $a0931-2668
024 7 $ahttp://dx.doi.org/10.1111/jbg.12025$2DOI
100 1 $aMISZTAL, I.
245 $aUnknown-parent groups in single-step genomic evaluation.$h[electronic resource]
260 $c2013
520 $aSUMMARY:. In single-step genomic evaluation using best linear unbiased prediction (ssGBLUP), genomic predictions are calculated with a relationship matrix that combines pedigree and genomic information. For missing pedigrees, unknown selection processes, or inclusion of several populations, a BLUP model can include unknown-parent groups (UPG) in the animal effect. For ssGBLUP, UPG equations also involve contributions from genomic relationships. When those contributions are ignored, UPG solutions and genetic predictions can be biased. Options to eliminate or reduce such bias are presented. First, mixed model equations can be modified to include contributions to UPG elements from genomic relationships (greater software complexity). Second, UPG can be implemented as separate effects (higher cost of computing and data processing). Third, contributions can be ignored when they are relatively small, but they may be small only after refinements to UPG definitions. Fourth, contributions may approximately cancel out when genomic and pedigree relationships are constructed for compatibility; however, different construction steps are required for unknown parents from the same or different populations. Finally, an additional polygenic effect that also includes UPG can be added to the model. © 2013 Blackwell Verlag GmbH.
650 $aEVALUACIÓN GENÉTICA
650 $aGENÉTICA ANIMAL
653 $aBLUP (BEST LINEAR UNBIASED PREDICTION)
700 1 $aVITEZICA, Z.G.
700 1 $aLEGARRA, A.
700 1 $aAGUILAR, I.
700 1 $aSWAN, A.A.
773 $tJournal of Animal Breeding and Genetics, 2013$gv.130, no.4, p.252-258.
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INIA Las Brujas (LB) |
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