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| 256. |  | ROCHA, P. S. G. da; OLIVEIRA, R. P. de; SCIVITTARO, W. B.; SANTOS, U. L. dos. Diodos emissores de luz e concentrações de BAP na multiplicação in vitro de morangueiro. Ciência Rural, Santa Maria, v. 40, n. 9, p. 1922-1928, set., 2010.| Biblioteca(s): Embrapa Clima Temperado. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pesca e Aquicultura. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril; Embrapa Pesca e Aquicultura. |
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Data corrente: |
13/03/2012 |
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Data da última atualização: |
19/11/2012 |
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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: |
LARA, M. A. S.; PEDREIRA, C. G. S.; BOOTE, K. J.; PEDREIRA, B. C. e; MORENO, L. S. de B.; ALDERMAN, P. D. |
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Afiliação: |
BRUNO CARNEIRO E PEDREIRA, CPAMT; LEONARDO SIMOES DE BARROS MORENO, CNPASA. |
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Título: |
Predicting Growth of Panicum maximum: An Adaptation of the CROPGRO?Perennial Forage Model |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Agronomy Journal (Print), v. 104, n. 3, p. 600-611, 2012 |
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Volume: |
104 |
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Páginas: |
600-611 |
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ISSN: |
1435-0645 |
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Idioma: |
Inglês |
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Conteúdo: |
Warm-season grasses are economically important for cattle production in tropical regions and tools to aid in management and research on these forages would be highly beneficial both in research and the industry. This research was conducted to adapt the CROPGRO?Perennial Forage model to simulate growth of the tropical species guineagrass (Panicum maximum Jacq. cv. ?Tanzânia?) and to describe model adaptation for this species. To develop the CROPGRO parameters for this species, we began with values and relationships reported in the literature. Some parameters and relationships were calibrated by comparison with observed growth, development, dry matter accumulation, and partitioning during a 17-mo experiment with Tanzânia guineagrass in Piracicaba, SP, Brazil. Compared with starting parameters for palisadegrass [Brachiaria brizantha (A. Rich.) Stapf. cv. ?Xaraes?], dormancy effects of the perennial forage model had to be minimized, partitioning to storage tissue or root decreased, and partitioning to leaf and stem increased to provide for more leaf and stem growth and less root. Parameters affecting specific leaf area and senescence of plant tissues were improved. After these changes were made to the model, biomass accumulation was better simulated, mean predicted herbage yield was 6576 kg ha?1, averaged across 11 regrowth cycles of 35 (summer) or 63 d (winter), with a RMSE of 494 kg ha?1 (Willmott's index of agreement d = 0.985, simulated/observed ratio = 1.014). The model also gave good predictions against an independent data set, with similar RMSE, ratio, and d. The results of the adaptation suggest that the CROPGRO model is an efficient tool to integrate physiological aspects of guineagrass and can be used to simulate growth. MenosWarm-season grasses are economically important for cattle production in tropical regions and tools to aid in management and research on these forages would be highly beneficial both in research and the industry. This research was conducted to adapt the CROPGRO?Perennial Forage model to simulate growth of the tropical species guineagrass (Panicum maximum Jacq. cv. ?Tanzânia?) and to describe model adaptation for this species. To develop the CROPGRO parameters for this species, we began with values and relationships reported in the literature. Some parameters and relationships were calibrated by comparison with observed growth, development, dry matter accumulation, and partitioning during a 17-mo experiment with Tanzânia guineagrass in Piracicaba, SP, Brazil. Compared with starting parameters for palisadegrass [Brachiaria brizantha (A. Rich.) Stapf. cv. ?Xaraes?], dormancy effects of the perennial forage model had to be minimized, partitioning to storage tissue or root decreased, and partitioning to leaf and stem increased to provide for more leaf and stem growth and less root. Parameters affecting specific leaf area and senescence of plant tissues were improved. After these changes were made to the model, biomass accumulation was better simulated, mean predicted herbage yield was 6576 kg ha?1, averaged across 11 regrowth cycles of 35 (summer) or 63 d (winter), with a RMSE of 494 kg ha?1 (Willmott's index of agreement d = 0.985, simulated/observed ratio = 1.014). The model als... Mostrar Tudo |
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Palavras-Chave: |
CROPGRO. |
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Thesagro: |
Panicum Maximum; Planta forrageira; Simulação. |
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Thesaurus NAL: |
Forage; Models; Pasture plants. |
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Categoria do assunto: |
--
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02563naa a2200301 a 4500
001 1939889
005 2012-11-19
008 2012 bl uuuu u00u1 u #d
022 $a1435-0645
100 1 $aLARA, M. A. S.
245 $aPredicting Growth of Panicum maximum$bAn Adaptation of the CROPGRO?Perennial Forage Model
260 $c2012
300 $a600-611 104
490 $v104
520 $aWarm-season grasses are economically important for cattle production in tropical regions and tools to aid in management and research on these forages would be highly beneficial both in research and the industry. This research was conducted to adapt the CROPGRO?Perennial Forage model to simulate growth of the tropical species guineagrass (Panicum maximum Jacq. cv. ?Tanzânia?) and to describe model adaptation for this species. To develop the CROPGRO parameters for this species, we began with values and relationships reported in the literature. Some parameters and relationships were calibrated by comparison with observed growth, development, dry matter accumulation, and partitioning during a 17-mo experiment with Tanzânia guineagrass in Piracicaba, SP, Brazil. Compared with starting parameters for palisadegrass [Brachiaria brizantha (A. Rich.) Stapf. cv. ?Xaraes?], dormancy effects of the perennial forage model had to be minimized, partitioning to storage tissue or root decreased, and partitioning to leaf and stem increased to provide for more leaf and stem growth and less root. Parameters affecting specific leaf area and senescence of plant tissues were improved. After these changes were made to the model, biomass accumulation was better simulated, mean predicted herbage yield was 6576 kg ha?1, averaged across 11 regrowth cycles of 35 (summer) or 63 d (winter), with a RMSE of 494 kg ha?1 (Willmott's index of agreement d = 0.985, simulated/observed ratio = 1.014). The model also gave good predictions against an independent data set, with similar RMSE, ratio, and d. The results of the adaptation suggest that the CROPGRO model is an efficient tool to integrate physiological aspects of guineagrass and can be used to simulate growth.
650 $aForage
650 $aModels
650 $aPasture plants
650 $aPanicum Maximum
650 $aPlanta forrageira
650 $aSimulação
653 $aCROPGRO
700 1 $aPEDREIRA, C. G. S.
700 1 $aBOOTE, K. J.
700 1 $aPEDREIRA, B. C. e
700 1 $aMORENO, L. S. de B.
700 1 $aALDERMAN, P. D.
773 $tAgronomy Journal (Print)$gv. 104, n. 3, p. 600-611, 2012
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