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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pesca e Aquicultura. |
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Data corrente: |
12/08/2021 |
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Data da última atualização: |
19/03/2025 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BRUNETTI, H. B.; BOOTE, K. J.; SANTOS, P. M.; PEZZOPANE, J. R. M.; PEDREIRA, C. G. S.; LARA, M. A. S.; MORENO, L. S. de B.; HOOGENBOOM, G. |
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Afiliação: |
HENRIQUE B. BRUNETTI, USP-ESALQ; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; PATRICIA MENEZES SANTOS, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; CARLOS G. S. PEDREIRA, USP-ESALQ; MÁRCIO A. S. LARA, UFLA; LEONARDO SIMOES DE BARROS MORENO, CNPASA; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA. |
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Título: |
Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Agronomy Journal, v. 113, n. 4, p. 3299-3314, July/Aug. 2021. |
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ISSN: |
1435-0645 |
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DOI: |
https://doi.org/10.1002/agj2.20766 |
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Idioma: |
Inglês |
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Conteúdo: |
Tropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly for leaf biomass. The d-statistic computed over all these variables increased from .86 to .93. The improved model performance for both short and long harvest cycles will facilitate further applications for diverse forage crops utilization strategies. MenosTropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly ... Mostrar Tudo |
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Palavras-Chave: |
Growth and biomass partitioning; Mombaça; Stem biomass. |
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Thesagro: |
Biomassa; Modelo de Simulação; Panicum Maximum; Pastagem. |
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Thesaurus Nal: |
Forage crops; Megathyrsus maximus; Tanzania. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02790naa a2200349 a 4500
001 2133598
005 2025-03-19
008 2021 bl uuuu u00u1 u #d
022 $a1435-0645
024 7 $ahttps://doi.org/10.1002/agj2.20766$2DOI
100 1 $aBRUNETTI, H. B.
245 $aImproving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass.$h[electronic resource]
260 $c2021
520 $aTropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly for leaf biomass. The d-statistic computed over all these variables increased from .86 to .93. The improved model performance for both short and long harvest cycles will facilitate further applications for diverse forage crops utilization strategies.
650 $aForage crops
650 $aMegathyrsus maximus
650 $aTanzania
650 $aBiomassa
650 $aModelo de Simulação
650 $aPanicum Maximum
650 $aPastagem
653 $aGrowth and biomass partitioning
653 $aMombaça
653 $aStem biomass
700 1 $aBOOTE, K. J.
700 1 $aSANTOS, P. M.
700 1 $aPEZZOPANE, J. R. M.
700 1 $aPEDREIRA, C. G. S.
700 1 $aLARA, M. A. S.
700 1 $aMORENO, L. S. de B.
700 1 $aHOOGENBOOM, G.
773 $tAgronomy Journal$gv. 113, n. 4, p. 3299-3314, July/Aug. 2021.
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Registro original: |
Embrapa Pesca e Aquicultura (CNPASA) |
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| Registros recuperados : 4 | |
| 1. |  | CHRISTINA, M.; CLARK, D.; MARIN, F. R.; RIBEIRO, R. V.; SAEZ, J. V.; CHIBARABADA, T. P.; VIANNA, M. dos S.; JONES, M. R.; CUADRA, S. V.; CABRAL, O. M. R.; ACRECHE, M. M.; DIAS, H. B. Sugarcane radiation use efficiency: varietal differences, temperature dependence, and implications for modeling biomass across environments. Agricultural and Forest Meteorology, v. 375, 110854, Dec. 2025.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Meio Ambiente. |
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| 2. | | WAGNER, F. H.; HÉRAULT, B.; BONAL, D.; STAHL, C.; ANDERSON, L. O.; BAKER, T. R.; BECKER, G. S.; BEECKMAN, H.; SOUZA, D. B.; BOTOSSO, P. C.; BOWMAN, D. M. J. S.; BRÄUNING, A.; BREDE, B.; BROWN, F. I.; CAMARERO, J. J.; CAMARGO, P. B.; CARDOSO, F. C. G.; CARVALHO, F. A.; CASTRO, W.; CHAGAS, R. K.; CHAVE, J.; CHIDUMAYO, E. N.; CLARK, D. A.; COSTA, F. R. C.; COURALET, C.; MAURICIO, P. H. da S.; DALITZ, H.; CASTRO, V. R. de; MILANI, J. E. de F.; OLIVEIRA, E. C. de; ARRUDA, L. de S.; DEVINEAU, JEAN-LOUIS; DREW, D. M.; DÜNISCH, O.; DURIGAN, G.; ELIFURAHA, E.; FEDELE, F.; FEDELE, L. F.; FIGUEIREDO FILHO, A.; FINGER, C. A. G.; FRANCO, A. C.; FREITAS JÚNIOR, J. L.; GALVÃO, F.; GEBREKIRSTOS, A.; GLINIARS, R.; GRAÇA, P. M. L. de A.; GRIFFITHS, A. D.; GROGAN, J.; GUAN, K.; HOMEIER, J.; KANIESKI, M. R.; KHO, L. K.; KOENIG, J.; KREPKOWSKI, J.; LEMOS-FILHO, J. P.; LIEBERMAN, D.; LIEBERMAN, M. E.; LISI, C. S.; SANTOS, T. L.; LÓPEZ AYALA, J. L.; MAEDA, E. E.; MALHI, Y.; MARIA, V. R. B.; MARQUES, M. C. M.; MARQUES, R.; CHAMBA, H. M.; MBWAMBO, L.; MELGAÇO, K. L. L.; MENDIVELSO, H. A.; MURPHY, B. P.; O’BRIEN, J. J.; OBERBAUER, S. F.; OKADA, N.; PÉLISSIER, R.; PRIOR, L. D.; ROIG, F. A.; ROSS, M.; ROSSATTO, D. R.; ROSSI, V.; ROWLAND, L.; RUTISHAUSER, E.; SANTANA, H.; SCHULZE, M.; SELHORST, D.; SILVA, W. R.; SILVEIRA, M.; SPANNL, S.; SWAINE, M. D.; TOLEDO, J. J.; TOLEDO, M. M.; TOLEDO, M.; TOMA. T.; TOMAZELLO FILHO, M.; VALDEZ HERNÁNDEZ, J. I.; VERBESSELT, J.; VIEIRA, S. A.; VINCENT, G.; CASTILHO, C. V. de; VOLLAND, F.; WORBES, M.; ZANON, M. L. B.; ARAGÃO, L. E. O. C. Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests. Biogeosciences, v. 13, n. 8, p. 2537-2562, Apr. 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas; Embrapa Maranhão; Embrapa Roraima. |
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| 3. | | BASTIN, J. F.; RUTISHAUSER, E.; KELLNER, J. R.; SAATCHI, S.; PÉLISSIER, R.; HÉRAULT, B.; SLIK, F.; BOGAERT, J.; DE CANNIÈRE, C.; MARSHALL, A. R.; POULSEN, J.; ALVAREZ-LOYAYZA, P.; ANDRADE, A.; ANGBONGA-BASIA, A.; ARAUJO-MURAKAMI, A.; ARROYO, L.; AYYAPPAN, N.; AZEVEDO, C. P. de; BANKI, O.; BARBIER, N.; BARROSO, J. G.; BEECKMAN, H.; BITARIHO, R.; BOECKX, P.; BOEHNING-GAESE, K.; BRANDÃO, H.; BREARLEY, F. Q.; HOCKEMBA, M. B. N.; BRIENEN, R.; CAMARGO, J. L. C.; CAMPOS-ARCEIZ, A.; CASSART, B.; CHAVE, J.; CHAZDON, R.; CHUYONG, G.; CLARK, D. B.; CLARK, C. J.; CONDIT, R.; CORONADO, E. N. H.; DAVIDAR, P.; HAULLEVILLE, T. de; DESCROIX, L.; DOUCET, J-L.; DOURDAIN, A.; DROISSART, V.; DUNCAN, T.; ESPEJO. J. S.; ESPINOSA, S.; FARWIG, N.; FAYOLLE, A.; FELDPAUSCH, T. R.; FERRAZ, A.; FLETCHER, C.; GAJAPERSAD, K.; GILLET, J-F.; AMARAL, I. L. do; GONMADJE, C.; GROGAN, J.; HARRIS, D.; HERZOG, S. K.; HOMEIER, J.; HUBAU, W.; HUBBELL, S. P.; HUFKENS, K.; HURTADO, J.; KAMDEM, N. G.; KEARSLEY, E.; KENFACK, D.; KESSLER, M.; LABRIÈRE, N.; LAUMONIER, Y.; LAURANCE, S.; LAURANCE, W. F.; LEWIS, S. L.; LIBALAH, M. B.; LIGOT, G.; LLOYD, J.; LOVEJOY, T. E.; MALHI, Y.; MARIMON, B. S.; JUNIOR, B. H. M.; MARTIN, E. H.; MATIUS, P.; MEYER, V.; BAUTISTA, C. M.; MONTEAGUDO-MENDOZA, A.; MTUI, A.; NEILL, D.; GUTIERREZ, G. A. P.; PARDO, G.; PARREN, M.; PARTHASARATHY, N.; PHILLIPS, O. L.; PITMAN, N. C. A.; PLOTON, P.; PONETTE, Q.; RAMESH, B. R.; RAZAFIMAHAIMODISON, J-C.; RÉJOU-MÉCHAIN, M.; ROLIM, S. G.; SALTOS, H. R.; ROSSI, L. M. B.; SPIRONELLO, W. R.; ROVERO, F.; SANER, P.; SASAKI, D.; SCHULZE, M.; SILVEIRA, M.; SINGH, J.; SIST, P.; SONKE, B.; SOTO, J. D.; SOUZA, C. R. de; STROPP, J.; SULLIVAN, M. J. P.; SWANEPOEL, B.; STEEGE, H. ter.; TERBORGH, J.; TEXIER, N.; TOMA, T.; VALENCIA, R.; VALENZUELA, L.; FERREIRA, L. V.; VALVERDE, F. C.; ANDEL, T. R. van.; VASQUE, R.; VERBEECK, H.; VIVEK, P.; VLEMINCKX, J.; VOS, V. A.; WAGNER, F. H.; WARSUDI, P. P.; WORTEL, V.; ZAGT, R. J.; ZEBAZE, D. Pan-tropical prediction of forest structure from the largest trees. Global Ecology and Biogeography, v. 27, n. 11, p. 1366-1383, Nov. 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Florestas. |
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| 4. | | MO, L.; CROWTHER, T. W.; MAYNARD, D. S.; HOOGEN, J. V. D.; MA, H.; BIALIC-MURPHY, L.; LIANG, J.; DE-MIGUEL, S.; NABUURS, G.; REICH, P. B.; PHILLIPS, O. L.; ABEGG, M.; YAO, Y. C. A.; ALBERTI, G.; ZAMBRANO, A. M. A.; ALVARADO, B. V.; ALVAREZ-DÁVILA, E.; ALVAREZ-LOAYZA, P.; ALVES, L. F.; AMARAL, I.; AMMER, C.; ANTÓN-FERNÁNDEZ, C.; ARAUJO-MURAKAMI, A.; ARROYO, L.; AVITABILE, V.; AYMARD, G. A.; BAKER, T. R.; BAŁAZY, R.; BANKI, O.; BARROSO, J. G.; BASTIAN, M. L.; BASTIN, J.; BIRIGAZZI, L.; BIRNBAUM, P.; BITARIHO, R.; BOECKX, P.; BONGERS, F.; BOONMAN, C. C. F.; BOURIAUD, O.; BRANCALION, P. H. S.; BRANDL, S.; BREARLEY, F. Q.; BRIENEN, R.; BROADBENT, E. N.; BRUELHEIDE, H.; BUSSOTTI, F.; GATTI, R. C.; CÉSAR, R. G.; CESLJAR, G.; CHAZDON, R.; CHEN, H. Y. H.; CHISHOLM, C.; CHO, H.; CIENCIALA, E.; CLARK, C.; CLARK, D.; COLLETTA, G. D.; COOMES, D. A.; VALVERDE, F. C.; CORRAL-RIVAS, J. J.; CRIM, P. M.; CUMMING, J. R.; DAYANANDAN, S.; GASPER, A. L. de; DECUYPER, M.; DERROIRE, G.; DEVRIES, B.; DJORDJEVIC, I.; DOLEZAL, J.; DOURDAIN, A.; OBIANG, N. L. E.; ENQUIST, B. J.; EYRE, T. J.; FANDOHAN, A. B.; FAYLE, T. M.; FELDPAUSCH, T. R.; FERREIRA, L. V.; FINÉR, L.; FISCHER, M.; FLETCHER, C.; FRIZZERA, L.; GAMARRA, J. G. P.; GIANELLE, D.; GLICK, H. B.; HARRIS, D. J.; HECTOR, A.; HEMP, A.; HENGEVELD, G.; HÉRAULT, B.; HERBOHN, J. L.; HEROLD, M.; HIETZ, P.; HILLERS, A.; CORONADO, E. N. H.; HUI, C.; IBANEZ, T.; IMAI, N.; JAGODZIŃSKI, A. M.; JAROSZEWICZ, B.; JOHANNSEN, V. K.; JOLY, C. A.; JUCKER, T.; JUNG, I.; KARMINOV, V.; KARTAWINATA, K.; KEARSLEY, E.; KENFACK, D.; KENNARD, D. K.; KEPFER-ROJAS, S.; KEPPEL, G.; KHAN, M. L.; KILLEEN, T. J.; KIM, H. S.; KITAYAMA, K.; KÖHL, M.; KORJUS, H.; KRAXNER, F.; KUCHER, D.; LAARMANN, D.; LANG, M.; LEWIS, S. L.; LI, Y.; LOPEZ-GONZALEZ, G.; LU, H.; LUKINA, N. V.; MAITNER, B. S.; MALHI, Y.; MARCON, E.; MARIMON, B. S.; MARIMON-JUNIOR, B. H.; MARSHALL, A. R.; MARTIN, E. H.; MCCARTHY, J. K.; MEAVE, J. A.; MELO-CRUZ, O.; MENDOZA, C.; MENDOZA-POLO, I.; MISCICKI, S.; MEROW, C.; MENDOZA, A. M.; MORENO, V. S.; MUKUL, S. A.; MUNDHENK, P.; NAVA-MIRANDA, M. G.; NEILL, D.; NELDNER, V. J.; NEVENIC, R. V.; NGUGI, M. R.; NIKLAUS, P. A.; ONTIKOV, P.; ORTIZ-MALAVASI, E.; PAN, Y.; PAQUETTE, A.; PARADA-GUTIERREZ, A.; PARFENOVA, E. I.; PARK, M.; PARREN, M.; PARTHASARATHY, N.; PERI, P. L.; PFAUTSCH, S.; PICARD, N.; PIEDADE, M. T. F.; PIOTTO, D.; PITMAN, N. C. A.; POORTER, L.; POULSEN, A. D.; POULSEN, J. R.; PRETZSCH, H.; AREVALO, F. R.; RESTREPO-CORREA, Z.; RICHARDSON, S. J.; RODEGHIERO, M.; ROLIM, S. G.; ROOPSIND, A.; ROVERO, F.; RUTISHAUSER, E.; SAIKIA, P.; SALAS-ELJATIB, C.; SANER, P.; SCHALL, P.; SCHELHAAS, M.; SCHEPASCHENKO, D.; SCHERER-LORENZEN, M.; SCHMID, B.; SCHÖNGART, J.; SEARLE, E. B.; SEBEN, V.; SERRA-DIAZ, J. M.; SHEIL, D.; SHVIDENKO, A. Z.; SILVA, A. C. da; SILVA-ESPEJO, J. E.; SILVEIRA, M.; SINGH, J.; SIST, P.; SLIK, F.; SONKÉ, B.; SOSINSKI JUNIOR, E. E.; SOUZA, A. F.; STEREŃCZAK, K. J.; SVENNING, J.; SVOBODA, M.; SWANEPOEL, B.; TARGHETTA, N.; TCHEBAKOVA, N.; STEEGE, H. T.; THOMAS, R.; TIKHONOVA, E.; UMUNAY, P. M.; USOLTSEV, V. A.; VALENCIA, R.; VALLADARES, F.; BODEGOM, P. M. V.; PLAS, F. V. D.; DO, T. V.; NULAND, M. E. V.; VASQUEZ, R. M.; VERBEECK, H.; VIANA, H.; VIBRANS, A. C.; VIEIRA, S.; GADOW, K. V.; WANG, H.; WATSON, J. V.; WERNER, G. D. A.; WITTMANN, F.; WOELL, H.; WORTEL, V.; ZAGT, R.; ZAWIŁA-NIEDŹWIECKI, T.; ZHANG, C.; ZHAO, X.; ZHOU, M.; ZHU, Z.; ZO-BI, I. C.; ZOHNER, C. M. The global distribution and drivers of wood density and their impact on forest carbon stocks. Nature Ecology & Evolution, v. 8, n. 12, p. 2195-2212, 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Clima Temperado. |
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| Registros recuperados : 4 | |
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