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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
31/07/1997 |
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Data da última atualização: |
28/04/2015 |
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Autoria: |
WALCK, J. L.; HIDAYATI, S. N.; DIXON, W. K.; THOMPSON, K.; POSCHLOD, P. |
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Afiliação: |
JEFFREY L. WALCK; SITI N. HIDAYATI; KINGSLEY W. DIXON; KEN THOMPSON; PETER POSCHLOD. |
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Título: |
Climate change and plant regeneration from seed. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Global Change Biology, v. 17, p. 2145?2161, 2011. |
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DOI: |
10.1111/j.1365-2486.2010.02368.x |
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Idioma: |
Inglês |
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Conteúdo: |
At the core of plant regeneration, temperature and water supply are critical drivers for seed dormancy (initiation, break) and germination. Hence, global climate change is altering these environmental cues and will preclude, delay, or enhance regeneration from seeds, as already documented in some cases. Along with compromised seedling emergence and vigour, shifts in germination phenology will influence population dynamics, and thus, specie composition and diversity of communities. Altered seed maturation (including consequences for dispersal) and seed mass will have ramifications on life history traits of plants. Predicted changes in temperature and precipitation, and thus in soil moisture, will affect many components of seed persistence in soil, e.g. seed longevity, dormancy release and germination, and soil pathogen activity. More/less equitable climate will alter geographic distribution for species, but restricted migratory capacity in some will greatly limit their response. Seed traits for weedy species could evolve relatively quickly to keep pace with climate change enhancing their negative environmental and economic impact. Thus, increased research in understudied ecosystems, on key issues related to seed ecology, and on evolution of seed traits in nonweedy species is needed to more fully comprehend and plan for plant responses to global warming. |
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Palavras-Chave: |
Dormência das sementes; Germination phenology; Global climate change. |
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Thesagro: |
Fenologia; Germinação; Mudança climática; Semente. |
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Thesaurus Nal: |
Seed dormancy. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02151naa a2200277 a 4500
001 1139417
005 2015-04-28
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1111/j.1365-2486.2010.02368.x$2DOI
100 1 $aWALCK, J. L.
245 $aClimate change and plant regeneration from seed.$h[electronic resource]
260 $c2011
520 $aAt the core of plant regeneration, temperature and water supply are critical drivers for seed dormancy (initiation, break) and germination. Hence, global climate change is altering these environmental cues and will preclude, delay, or enhance regeneration from seeds, as already documented in some cases. Along with compromised seedling emergence and vigour, shifts in germination phenology will influence population dynamics, and thus, specie composition and diversity of communities. Altered seed maturation (including consequences for dispersal) and seed mass will have ramifications on life history traits of plants. Predicted changes in temperature and precipitation, and thus in soil moisture, will affect many components of seed persistence in soil, e.g. seed longevity, dormancy release and germination, and soil pathogen activity. More/less equitable climate will alter geographic distribution for species, but restricted migratory capacity in some will greatly limit their response. Seed traits for weedy species could evolve relatively quickly to keep pace with climate change enhancing their negative environmental and economic impact. Thus, increased research in understudied ecosystems, on key issues related to seed ecology, and on evolution of seed traits in nonweedy species is needed to more fully comprehend and plan for plant responses to global warming.
650 $aSeed dormancy
650 $aFenologia
650 $aGerminação
650 $aMudança climática
650 $aSemente
653 $aDormência das sementes
653 $aGermination phenology
653 $aGlobal climate change
700 1 $aHIDAYATI, S. N.
700 1 $aDIXON, W. K.
700 1 $aTHOMPSON, K.
700 1 $aPOSCHLOD, P.
773 $tGlobal Change Biology$gv. 17, p. 2145?2161, 2011.
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Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
31/03/2022 |
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Data da última atualização: |
31/03/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SOUZA, D. P. de; MENDONÇA, F. C.; BOSI, C.; PEZZOPANE, J. R. M.; SANTOS, P. M. |
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Afiliação: |
DÉBORA PANTOJO DE SOUZA, USP-ESALQ; FERNANDO CAMPOS MENDONÇA, USP-ESALQ; CRISTIAM BOSI, CNPQ; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; PATRICIA MENEZES SANTOS, CPPSE. |
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Título: |
APSIM-Tropical Pasture model parameterization for simulating Marandu palisade grass growth and soil water in irrigated and rainfed cut-and-carry systems. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Grass and Forage Science, mar. 2022. |
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Páginas: |
16 p. |
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DOI: |
https://doi.org/10.1111/gfs.12560 |
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Idioma: |
Inglês |
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Conteúdo: |
Process-based models such as the Agricultural Production Systems Simulator (APSIM) can be useful to simulate pasture growth and development. This aim of the study is to parameterise the APSIM-Tropical Pasture model to simulate Marandu palisade grass (Urochloa brizantha cv. Marandu), irrigated and rainfed, under cut-and-carry management. Parameterisation was performed with experimental data collected in Piracicaba, SP, Brazil (Experiment 1: 11 growth cycles), and São Carlos, SP, Brazil (Experiment 2: 9 growth cycles). In both experiments, aboveground live biomass, leaf, stem, crown and dead material mass, specific leaf area (SLA), leaf area index (LAI) and height were assessed. In Experiment 1, soil water content was measured with a capacitance probe, at depths from 0 to 0.9 m. Calibration was performed for base temperature, light extinction coefficient and radiation use efficiency. The calibrated model proved to be accurate in simulating living biomass, leaf mass, LAI and height for all tested variables. In the irrigated system, the statistics presented values between 0.64 and 0.86 for coefficient of determination (R2), between 0.59 and 0.70 for efficiency coefficient (NSE) and between 0.88 and 0.95 for the Willmott?s agreement index (d). For these same variables, in the rainfed system, R2 values ranged from 0.70 to 0.86; NSE from 0.54 to 0.70; and average d was 0.93. The simulation of soil water content showed satisfactory results for rainfed pasture, but was less precise for the irrigated treatment. The calibration of the APSIM-Tropical Pasture model for Marandu palisade grass resulted in efficient simulations of pasture growth under cut-and-carry management. MenosProcess-based models such as the Agricultural Production Systems Simulator (APSIM) can be useful to simulate pasture growth and development. This aim of the study is to parameterise the APSIM-Tropical Pasture model to simulate Marandu palisade grass (Urochloa brizantha cv. Marandu), irrigated and rainfed, under cut-and-carry management. Parameterisation was performed with experimental data collected in Piracicaba, SP, Brazil (Experiment 1: 11 growth cycles), and São Carlos, SP, Brazil (Experiment 2: 9 growth cycles). In both experiments, aboveground live biomass, leaf, stem, crown and dead material mass, specific leaf area (SLA), leaf area index (LAI) and height were assessed. In Experiment 1, soil water content was measured with a capacitance probe, at depths from 0 to 0.9 m. Calibration was performed for base temperature, light extinction coefficient and radiation use efficiency. The calibrated model proved to be accurate in simulating living biomass, leaf mass, LAI and height for all tested variables. In the irrigated system, the statistics presented values between 0.64 and 0.86 for coefficient of determination (R2), between 0.59 and 0.70 for efficiency coefficient (NSE) and between 0.88 and 0.95 for the Willmott?s agreement index (d). For these same variables, in the rainfed system, R2 values ranged from 0.70 to 0.86; NSE from 0.54 to 0.70; and average d was 0.93. The simulation of soil water content showed satisfactory results for rainfed pasture, but was less precise f... Mostrar Tudo |
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Palavras-Chave: |
Crop model; Soil moisture. |
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Thesaurus NAL: |
Forage; Irrigation; Urochloa brizantha. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02471naa a2200253 a 4500
001 2141651
005 2022-03-31
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/gfs.12560$2DOI
100 1 $aSOUZA, D. P. de
245 $aAPSIM-Tropical Pasture model parameterization for simulating Marandu palisade grass growth and soil water in irrigated and rainfed cut-and-carry systems.$h[electronic resource]
260 $c2022
300 $a16 p.
520 $aProcess-based models such as the Agricultural Production Systems Simulator (APSIM) can be useful to simulate pasture growth and development. This aim of the study is to parameterise the APSIM-Tropical Pasture model to simulate Marandu palisade grass (Urochloa brizantha cv. Marandu), irrigated and rainfed, under cut-and-carry management. Parameterisation was performed with experimental data collected in Piracicaba, SP, Brazil (Experiment 1: 11 growth cycles), and São Carlos, SP, Brazil (Experiment 2: 9 growth cycles). In both experiments, aboveground live biomass, leaf, stem, crown and dead material mass, specific leaf area (SLA), leaf area index (LAI) and height were assessed. In Experiment 1, soil water content was measured with a capacitance probe, at depths from 0 to 0.9 m. Calibration was performed for base temperature, light extinction coefficient and radiation use efficiency. The calibrated model proved to be accurate in simulating living biomass, leaf mass, LAI and height for all tested variables. In the irrigated system, the statistics presented values between 0.64 and 0.86 for coefficient of determination (R2), between 0.59 and 0.70 for efficiency coefficient (NSE) and between 0.88 and 0.95 for the Willmott?s agreement index (d). For these same variables, in the rainfed system, R2 values ranged from 0.70 to 0.86; NSE from 0.54 to 0.70; and average d was 0.93. The simulation of soil water content showed satisfactory results for rainfed pasture, but was less precise for the irrigated treatment. The calibration of the APSIM-Tropical Pasture model for Marandu palisade grass resulted in efficient simulations of pasture growth under cut-and-carry management.
650 $aForage
650 $aIrrigation
650 $aUrochloa brizantha
653 $aCrop model
653 $aSoil moisture
700 1 $aMENDONÇA, F. C.
700 1 $aBOSI, C.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aSANTOS, P. M.
773 $tGrass and Forage Science, mar. 2022.
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