Dry matter production of Tanzania grass as a function of agrometeorological variables
The objective of this work was to develop and validate linear regression models to estimate the production of dry matter by Tanzania grass (Megathyrsus maximus, cultivar Tanzania) as a function of agrometeorological variables. For this purpose, data on the growth of this forage grass from 2000 to 20...
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| Format: | Article |
| Language: | English |
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Embrapa Informação Tecnológica
2012-04-01
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| Series: | Pesquisa Agropecuária Brasileira |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000400001&lng=en&tlng=en |
| _version_ | 1818935577876103168 |
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| author | José Ricardo Macedo Pezzopane Patricia Menezes Santos Fernando Campos Mendonça Leandro Coelho de Araujo Pedro Gomes da Cruz |
| author_facet | José Ricardo Macedo Pezzopane Patricia Menezes Santos Fernando Campos Mendonça Leandro Coelho de Araujo Pedro Gomes da Cruz |
| author_sort | José Ricardo Macedo Pezzopane |
| collection | DOAJ |
| description | The objective of this work was to develop and validate linear regression models to estimate the production of dry matter by Tanzania grass (Megathyrsus maximus, cultivar Tanzania) as a function of agrometeorological variables. For this purpose, data on the growth of this forage grass from 2000 to 2005, under dry‑field conditions in São Carlos, SP, Brazil, were correlated to the following climatic parameters: minimum and mean temperatures, degree‑days, and potential and actual evapotranspiration. Simple linear regressions were performed between agrometeorological variables (independent) and the dry matter accumulation rate (dependent). The estimates were validated with independent data obtained in São Carlos and Piracicaba, SP, Brazil. The best statistical results in the development and validation of the models were obtained with the agrometeorological parameters that consider thermal and water availability effects together, such as actual evapotranspiration, accumulation of degree‑days corrected by water availability, and the climatic growth index, based on average temperature, solar radiation, and water availability. These variables can be used in simulations and models to predict the production of Tanzania grass. |
| first_indexed | 2024-12-20T05:22:23Z |
| format | Article |
| id | doaj.art-2e1d5cd1356f42509fe03190aa6fc6b7 |
| institution | Directory Open Access Journal |
| issn | 1678-3921 |
| language | English |
| last_indexed | 2024-12-20T05:22:23Z |
| publishDate | 2012-04-01 |
| publisher | Embrapa Informação Tecnológica |
| record_format | Article |
| series | Pesquisa Agropecuária Brasileira |
| spelling | doaj.art-2e1d5cd1356f42509fe03190aa6fc6b72022-12-21T19:51:58ZengEmbrapa Informação TecnológicaPesquisa Agropecuária Brasileira1678-39212012-04-0147447147710.1590/S0100-204X2012000400001S0100-204X2012000400001Dry matter production of Tanzania grass as a function of agrometeorological variablesJosé Ricardo Macedo PezzopanePatricia Menezes SantosFernando Campos Mendonça0Leandro Coelho de Araujo1Pedro Gomes da CruzUniversidade de São PauloUniversidade de São PauloThe objective of this work was to develop and validate linear regression models to estimate the production of dry matter by Tanzania grass (Megathyrsus maximus, cultivar Tanzania) as a function of agrometeorological variables. For this purpose, data on the growth of this forage grass from 2000 to 2005, under dry‑field conditions in São Carlos, SP, Brazil, were correlated to the following climatic parameters: minimum and mean temperatures, degree‑days, and potential and actual evapotranspiration. Simple linear regressions were performed between agrometeorological variables (independent) and the dry matter accumulation rate (dependent). The estimates were validated with independent data obtained in São Carlos and Piracicaba, SP, Brazil. The best statistical results in the development and validation of the models were obtained with the agrometeorological parameters that consider thermal and water availability effects together, such as actual evapotranspiration, accumulation of degree‑days corrected by water availability, and the climatic growth index, based on average temperature, solar radiation, and water availability. These variables can be used in simulations and models to predict the production of Tanzania grass.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000400001&lng=en&tlng=enPanicum maximumíndice climático de crescimentograus‑diaevapotranspiraçãomodelagem |
| spellingShingle | José Ricardo Macedo Pezzopane Patricia Menezes Santos Fernando Campos Mendonça Leandro Coelho de Araujo Pedro Gomes da Cruz Dry matter production of Tanzania grass as a function of agrometeorological variables Pesquisa Agropecuária Brasileira Panicum maximum índice climático de crescimento graus‑dia evapotranspiração modelagem |
| title | Dry matter production of Tanzania grass as a function of agrometeorological variables |
| title_full | Dry matter production of Tanzania grass as a function of agrometeorological variables |
| title_fullStr | Dry matter production of Tanzania grass as a function of agrometeorological variables |
| title_full_unstemmed | Dry matter production of Tanzania grass as a function of agrometeorological variables |
| title_short | Dry matter production of Tanzania grass as a function of agrometeorological variables |
| title_sort | dry matter production of tanzania grass as a function of agrometeorological variables |
| topic | Panicum maximum índice climático de crescimento graus‑dia evapotranspiração modelagem |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000400001&lng=en&tlng=en |
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