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8. | | ARAUJO, L. C. de; SANTOS, P. M.; CRUZ, P. G. da; PEZZOPANE, J. R. M. Estimativa do índice de área foliar em pastagem de capim-Mombaça, com base na produção de folhas. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 2., 2010, São Carlos, SP. Anais... São Carlos: Embrapa Instrumentação Agropecuária: Embrapa Pecuária Sudeste, 2010. Biblioteca(s): Embrapa Pecuária Sudeste. |
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9. | | GARCIA, I. F.; PEREZ, J. R. O.; BONAGURIO, S.; ARAUJO, L. C. de. Caracteristicas de carcaca de cordeiros Santa Ines e cruzas Santa Ines com Texel, Ile de France e Bergamacia. In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 38., 2001, Piracicaba, SP. Anais... Piracicaba: FEALQ, 2001. p.1142-1144. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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17. | | CRUZ, P. G. da; PEZZOPANE, J. R. M.; SANTOS, P. M.; BOSI, C.; ARAÚJO, L. C. de; PARMEJIANI, R. S. Calibração de sonda de capacitância em latossolo vermelho-amarelo. Agrometeoros, Passo Fundo, v. 26, n. 2, p. 347-352, dez., 2018. Biblioteca(s): Embrapa Rondônia. |
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18. | | CRUZ, P. G. da; PEZZOPANE, J. R. M.; SANTOS, P. M.; BOSI, C.; ARAUJO, L. C. de; PARMEJIANI, R. S. Calibração de sonda de capacitância em latossolo vermelho-amarelo. Agrometeoros, v. 26, n. 2, p. 347-352, 2018. Biblioteca(s): Embrapa Pecuária Sudeste. |
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
12/09/2018 |
Data da última atualização: |
14/01/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
ARAUJO, L. C. de; SANTOS, P. M.; RODRIGUEZ, D.; PEZZOPANE, J. R. M. |
Afiliação: |
Leandro Coelho de Araujo, UNESP; PATRICIA MENEZES SANTOS, CPPSE; Daniel Rodriguez, University of Queensland; JOSE RICARDO MACEDO PEZZOPANE, CPPSE. |
Título: |
Key factors that influence for seasonal production of Guinea grass. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Scientia Agricola, v. 75, n. 3, p. 191-196, 2018. |
DOI: |
http://dx.doi.org/10.1590/1678-992X-2016-0413 |
Idioma: |
Inglês |
Conteúdo: |
Climate, soil and management are the main drives for growth and production of tropical pastures. Thus, a better understanding of the effects of these factors and their interactions under climate conditions is required to obtain effective management options. Here, we used data from two field trials to research on climate and management interactions on the production seasonality of Panicum maximum Jacq. Treatments included four sampling times (250, 500, 750, and 1000 °C accumulated) during eight regrowth period, under irrigated and rainfed conditions and, cuts were made to simulate grazing intensity. All treatments were arranged in a completely randomized block design with four replications. At each sampling time, basal tillers were sampled to observe meristematic differentiation and were linked with the respective daylength. Soil moisture was determined, and the water availability index (WAI) was calculated. The dry matter production (DMP) was taken and relative productivity was calculated. Soil moisture was the key seasonal drive in spring-summer and the WAI could be used to adjust the maximum production for that season. The major drive for DMP in fall was the daylength, which was found at 11.81 h. For all seasons, DMP correlated better with the residues in early regrowth phase (r = 0.82 and p < 0.0001) and with degree days at final regrowth phase (r = 0.73 p < 0.01). Applying these critical values to management guidelines should make Guinea grass DMP more efficient on tropical farms. MenosClimate, soil and management are the main drives for growth and production of tropical pastures. Thus, a better understanding of the effects of these factors and their interactions under climate conditions is required to obtain effective management options. Here, we used data from two field trials to research on climate and management interactions on the production seasonality of Panicum maximum Jacq. Treatments included four sampling times (250, 500, 750, and 1000 °C accumulated) during eight regrowth period, under irrigated and rainfed conditions and, cuts were made to simulate grazing intensity. All treatments were arranged in a completely randomized block design with four replications. At each sampling time, basal tillers were sampled to observe meristematic differentiation and were linked with the respective daylength. Soil moisture was determined, and the water availability index (WAI) was calculated. The dry matter production (DMP) was taken and relative productivity was calculated. Soil moisture was the key seasonal drive in spring-summer and the WAI could be used to adjust the maximum production for that season. The major drive for DMP in fall was the daylength, which was found at 11.81 h. For all seasons, DMP correlated better with the residues in early regrowth phase (r = 0.82 and p < 0.0001) and with degree days at final regrowth phase (r = 0.73 p < 0.01). Applying these critical values to management guidelines should make Guinea grass DMP more efficient on tropi... Mostrar Tudo |
Palavras-Chave: |
Capim-guiné; Daylength; Degree-days; Mombaça; Tropical forage; Water deficit. |
Thesagro: |
Panicum Maximum. |
Thesaurus NAL: |
Soil water deficit. |
Categoria do assunto: |
A Sistemas de Cultivo |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/182773/1/KeyFactorsInfluence.pdf
|
Marc: |
LEADER 02280naa a2200265 a 4500 001 2095488 005 2019-01-14 008 2018 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.1590/1678-992X-2016-0413$2DOI 100 1 $aARAUJO, L. C. de 245 $aKey factors that influence for seasonal production of Guinea grass.$h[electronic resource] 260 $c2018 520 $aClimate, soil and management are the main drives for growth and production of tropical pastures. Thus, a better understanding of the effects of these factors and their interactions under climate conditions is required to obtain effective management options. Here, we used data from two field trials to research on climate and management interactions on the production seasonality of Panicum maximum Jacq. Treatments included four sampling times (250, 500, 750, and 1000 °C accumulated) during eight regrowth period, under irrigated and rainfed conditions and, cuts were made to simulate grazing intensity. All treatments were arranged in a completely randomized block design with four replications. At each sampling time, basal tillers were sampled to observe meristematic differentiation and were linked with the respective daylength. Soil moisture was determined, and the water availability index (WAI) was calculated. The dry matter production (DMP) was taken and relative productivity was calculated. Soil moisture was the key seasonal drive in spring-summer and the WAI could be used to adjust the maximum production for that season. The major drive for DMP in fall was the daylength, which was found at 11.81 h. For all seasons, DMP correlated better with the residues in early regrowth phase (r = 0.82 and p < 0.0001) and with degree days at final regrowth phase (r = 0.73 p < 0.01). Applying these critical values to management guidelines should make Guinea grass DMP more efficient on tropical farms. 650 $aSoil water deficit 650 $aPanicum Maximum 653 $aCapim-guiné 653 $aDaylength 653 $aDegree-days 653 $aMombaça 653 $aTropical forage 653 $aWater deficit 700 1 $aSANTOS, P. M. 700 1 $aRODRIGUEZ, D. 700 1 $aPEZZOPANE, J. R. M. 773 $tScientia Agricola$gv. 75, n. 3, p. 191-196, 2018.
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