Sugarcane yield and quality using soil magnetic susceptibility
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1678-992X-2020-0329 http://hdl.handle.net/11449/233335 |
Resumo: | The concept of production environments, which is widely used to classify the yield potential of soils, and magnetic susceptibility (MS), is emerging as an important tool for mapping ultra-detailed areas. Given this background, this paper aims to evaluate the use of MS as a tool for the identification of areas with different potential the enhancing of sugarcane yield and quality, and the allocation of varieties. An area of 445 ha was sampled at 1 point every 7 ha, and 14 points were determined for stratified sampling following the top of the landscape. Particle size and MS of samples at depths of 0.0-0.2 and 0.2-0.4 m were analyzed. The data on yield and quality of raw material were obtained from a nine crop season database and biometry performed in the 2018/19 crop season. The multivariate analysis of historical results showed the formation of three groups with different yield and quality potential, with a difference of up to 17.28 mg of cane per hectare between the group with the highest and lowest potential, based on soil MS. An analysis of the performance of the varieties involved showed that MS is effective in identifying areas with different potential for sugarcane yield and quality, differentiating by up to 34.5 % the performance of the same variety in different MS classes and by up to 38.5 % the performance of different varieties in similar MS classes. Thus, MS is an effective tool for identifying areas with different potential for sugarcane yield and quality, and can be used for allocating varieties in the field. |
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Sugarcane yield and quality using soil magnetic susceptibilityPedometryPrecision agricultureSaccharum officinarumVarietyThe concept of production environments, which is widely used to classify the yield potential of soils, and magnetic susceptibility (MS), is emerging as an important tool for mapping ultra-detailed areas. Given this background, this paper aims to evaluate the use of MS as a tool for the identification of areas with different potential the enhancing of sugarcane yield and quality, and the allocation of varieties. An area of 445 ha was sampled at 1 point every 7 ha, and 14 points were determined for stratified sampling following the top of the landscape. Particle size and MS of samples at depths of 0.0-0.2 and 0.2-0.4 m were analyzed. The data on yield and quality of raw material were obtained from a nine crop season database and biometry performed in the 2018/19 crop season. The multivariate analysis of historical results showed the formation of three groups with different yield and quality potential, with a difference of up to 17.28 mg of cane per hectare between the group with the highest and lowest potential, based on soil MS. An analysis of the performance of the varieties involved showed that MS is effective in identifying areas with different potential for sugarcane yield and quality, differentiating by up to 34.5 % the performance of the same variety in different MS classes and by up to 38.5 % the performance of different varieties in similar MS classes. Thus, MS is an effective tool for identifying areas with different potential for sugarcane yield and quality, and can be used for allocating varieties in the field.Usina São Martinho, Fazenda São Martinho, s/n, Rod. Dep. Cunha Bueno, km 203 – 14850-000 – Zona RuralUniversidade Estadual Paulista/FCAV Depto. Ciências da Produção Agrícola, Via de Acesso Prof. Paulo Donato Castellane s/nUniversidade Estadual Paulista/FCAV Depto. Ciências da Produção Agrícola, Via de Acesso Prof. Paulo Donato Castellane s/nUsina São MartinhoUniversidade Estadual Paulista (UNESP)Catelan, Michelle GimenesMarques Júnior, José [UNESP]Siqueira, Diego Silva [UNESP]Gomes, Romário Pimenta [UNESP]Bahia, Angélica Santos Rabelo de Souza [UNESP]2022-05-01T07:58:46Z2022-05-01T07:58:46Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1590/1678-992X-2020-0329Scientia Agricola, v. 79, n. 4, 2022.1678-992X0103-9016http://hdl.handle.net/11449/23333510.1590/1678-992X-2020-03292-s2.0-85111618545Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientia Agricolainfo:eu-repo/semantics/openAccess2024-06-07T14:22:56Zoai:repositorio.unesp.br:11449/233335Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:23:25.225653Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Sugarcane yield and quality using soil magnetic susceptibility |
title |
Sugarcane yield and quality using soil magnetic susceptibility |
spellingShingle |
Sugarcane yield and quality using soil magnetic susceptibility Catelan, Michelle Gimenes Pedometry Precision agriculture Saccharum officinarum Variety |
title_short |
Sugarcane yield and quality using soil magnetic susceptibility |
title_full |
Sugarcane yield and quality using soil magnetic susceptibility |
title_fullStr |
Sugarcane yield and quality using soil magnetic susceptibility |
title_full_unstemmed |
Sugarcane yield and quality using soil magnetic susceptibility |
title_sort |
Sugarcane yield and quality using soil magnetic susceptibility |
author |
Catelan, Michelle Gimenes |
author_facet |
Catelan, Michelle Gimenes Marques Júnior, José [UNESP] Siqueira, Diego Silva [UNESP] Gomes, Romário Pimenta [UNESP] Bahia, Angélica Santos Rabelo de Souza [UNESP] |
author_role |
author |
author2 |
Marques Júnior, José [UNESP] Siqueira, Diego Silva [UNESP] Gomes, Romário Pimenta [UNESP] Bahia, Angélica Santos Rabelo de Souza [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Usina São Martinho Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Catelan, Michelle Gimenes Marques Júnior, José [UNESP] Siqueira, Diego Silva [UNESP] Gomes, Romário Pimenta [UNESP] Bahia, Angélica Santos Rabelo de Souza [UNESP] |
dc.subject.por.fl_str_mv |
Pedometry Precision agriculture Saccharum officinarum Variety |
topic |
Pedometry Precision agriculture Saccharum officinarum Variety |
description |
The concept of production environments, which is widely used to classify the yield potential of soils, and magnetic susceptibility (MS), is emerging as an important tool for mapping ultra-detailed areas. Given this background, this paper aims to evaluate the use of MS as a tool for the identification of areas with different potential the enhancing of sugarcane yield and quality, and the allocation of varieties. An area of 445 ha was sampled at 1 point every 7 ha, and 14 points were determined for stratified sampling following the top of the landscape. Particle size and MS of samples at depths of 0.0-0.2 and 0.2-0.4 m were analyzed. The data on yield and quality of raw material were obtained from a nine crop season database and biometry performed in the 2018/19 crop season. The multivariate analysis of historical results showed the formation of three groups with different yield and quality potential, with a difference of up to 17.28 mg of cane per hectare between the group with the highest and lowest potential, based on soil MS. An analysis of the performance of the varieties involved showed that MS is effective in identifying areas with different potential for sugarcane yield and quality, differentiating by up to 34.5 % the performance of the same variety in different MS classes and by up to 38.5 % the performance of different varieties in similar MS classes. Thus, MS is an effective tool for identifying areas with different potential for sugarcane yield and quality, and can be used for allocating varieties in the field. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-01T07:58:46Z 2022-05-01T07:58:46Z 2022-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/1678-992X-2020-0329 Scientia Agricola, v. 79, n. 4, 2022. 1678-992X 0103-9016 http://hdl.handle.net/11449/233335 10.1590/1678-992X-2020-0329 2-s2.0-85111618545 |
url |
http://dx.doi.org/10.1590/1678-992X-2020-0329 http://hdl.handle.net/11449/233335 |
identifier_str_mv |
Scientia Agricola, v. 79, n. 4, 2022. 1678-992X 0103-9016 10.1590/1678-992X-2020-0329 2-s2.0-85111618545 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Scientia Agricola |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128354259304448 |