Productivity and penalty in sugarcane from three meteorological databases in Jataí-GO
The agroecological zone model proposed by FAO (ZAE/FAO) is an important tool in agricultural planning and can be used in Jataí, which has been gaining space in the production of sugarcane. The objective of this study was to compare the observed meteorological databases (BDMEP) with the estimated one...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Rondonópolis
2023-02-01
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| Series: | Scientific Electronic Archives |
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| Online Access: | https://sea.ufr.edu.br/SEA/article/view/1672 |
| _version_ | 1797895084714229760 |
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| author | João Carlos Rocha dos Anjos Derblai Casaroli José Alves Júnior Jéssica Sousa Paixão Gustavo Cassiano da Silva Jaurene Moura Fé Moraes José Gil dos Anjos Neto Lucas de Castro Medrado Fillipe de Paula Almeida Djavan Pinheiro Santos |
| author_facet | João Carlos Rocha dos Anjos Derblai Casaroli José Alves Júnior Jéssica Sousa Paixão Gustavo Cassiano da Silva Jaurene Moura Fé Moraes José Gil dos Anjos Neto Lucas de Castro Medrado Fillipe de Paula Almeida Djavan Pinheiro Santos |
| author_sort | João Carlos Rocha dos Anjos |
| collection | DOAJ |
| description | The agroecological zone model proposed by FAO (ZAE/FAO) is an important tool in agricultural planning and can be used in Jataí, which has been gaining space in the production of sugarcane. The objective of this study was to compare the observed meteorological databases (BDMEP) with the estimated ones (Xavier and NASA POWER), in the estimation of potential productivity (PP) and attainable (PA) of sugarcane and its penalties for management (PMJ) and water deficit (PDF), using the ZAE/FAO model in the municipality of Jataí - GO. To this end, the BDMEP, Xavier and NASA POWER database, 33 years old (1984-2017), were used. Using BDMEP, Xavier and NASA POWER as input in the ZAE model, we observed an average PP of 259±11, 275±10 and 267±11 Mg ha-1 as, respectively. PA reaches 200 Mg ha-1 when using BDMEP in ZAE, with 50% of the crop year with PA above 180 Mg ha-1. There was an average penalty of 114.01±6.9 for management and 85.67±4.08 Mg ha-1 in stem yield. The meteorological variables of Xavier's database can be used in the ZAE model in the prediction of productivity penalty for water deficit and sugarcane management, with 63% and 88% adjustment to BDMEP, respectively. NASA POWER can be used in the simulation of penalty for failures in sugarcane management, with up to 87% approximation of those observed. Both sources when used in the prediction model assist in agricultural planning. |
| first_indexed | 2024-04-10T07:20:50Z |
| format | Article |
| id | doaj.art-7eab0ca82b5244b78908c853b51f2913 |
| institution | Directory Open Access Journal |
| issn | 2316-9281 |
| language | English |
| last_indexed | 2024-04-10T07:20:50Z |
| publishDate | 2023-02-01 |
| publisher | Universidade Federal de Rondonópolis |
| record_format | Article |
| series | Scientific Electronic Archives |
| spelling | doaj.art-7eab0ca82b5244b78908c853b51f29132023-02-24T12:07:26ZengUniversidade Federal de RondonópolisScientific Electronic Archives2316-92812023-02-0116310.36560/163202316721418Productivity and penalty in sugarcane from three meteorological databases in Jataí-GOJoão Carlos Rocha dos Anjos0Derblai Casaroli1José Alves Júnior2Jéssica Sousa Paixão3Gustavo Cassiano da Silva4Jaurene Moura Fé Moraes5José Gil dos Anjos Neto6Lucas de Castro Medrado7Fillipe de Paula Almeida8Djavan Pinheiro Santos9Universidade Federal de Goiás Universidade Federal de Goiás AutônomoUniversidade Federal de Goiás Universidade Federal de Goiás Universidade Federal do PiauíUniversidade Federal do PiauíUniversidade Federal de Goiás Universidade Federal de Goiás Universidade Federal de GoiásThe agroecological zone model proposed by FAO (ZAE/FAO) is an important tool in agricultural planning and can be used in Jataí, which has been gaining space in the production of sugarcane. The objective of this study was to compare the observed meteorological databases (BDMEP) with the estimated ones (Xavier and NASA POWER), in the estimation of potential productivity (PP) and attainable (PA) of sugarcane and its penalties for management (PMJ) and water deficit (PDF), using the ZAE/FAO model in the municipality of Jataí - GO. To this end, the BDMEP, Xavier and NASA POWER database, 33 years old (1984-2017), were used. Using BDMEP, Xavier and NASA POWER as input in the ZAE model, we observed an average PP of 259±11, 275±10 and 267±11 Mg ha-1 as, respectively. PA reaches 200 Mg ha-1 when using BDMEP in ZAE, with 50% of the crop year with PA above 180 Mg ha-1. There was an average penalty of 114.01±6.9 for management and 85.67±4.08 Mg ha-1 in stem yield. The meteorological variables of Xavier's database can be used in the ZAE model in the prediction of productivity penalty for water deficit and sugarcane management, with 63% and 88% adjustment to BDMEP, respectively. NASA POWER can be used in the simulation of penalty for failures in sugarcane management, with up to 87% approximation of those observed. Both sources when used in the prediction model assist in agricultural planning.https://sea.ufr.edu.br/SEA/article/view/1672crop forecast, zae-fao model; zarc, saccharum spp. |
| spellingShingle | João Carlos Rocha dos Anjos Derblai Casaroli José Alves Júnior Jéssica Sousa Paixão Gustavo Cassiano da Silva Jaurene Moura Fé Moraes José Gil dos Anjos Neto Lucas de Castro Medrado Fillipe de Paula Almeida Djavan Pinheiro Santos Productivity and penalty in sugarcane from three meteorological databases in Jataí-GO Scientific Electronic Archives crop forecast, zae-fao model; zarc, saccharum spp. |
| title | Productivity and penalty in sugarcane from three meteorological databases in Jataí-GO |
| title_full | Productivity and penalty in sugarcane from three meteorological databases in Jataí-GO |
| title_fullStr | Productivity and penalty in sugarcane from three meteorological databases in Jataí-GO |
| title_full_unstemmed | Productivity and penalty in sugarcane from three meteorological databases in Jataí-GO |
| title_short | Productivity and penalty in sugarcane from three meteorological databases in Jataí-GO |
| title_sort | productivity and penalty in sugarcane from three meteorological databases in jatai go |
| topic | crop forecast, zae-fao model; zarc, saccharum spp. |
| url | https://sea.ufr.edu.br/SEA/article/view/1672 |
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