Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/262519 |
Resumo: | The system fertilization approach emerged to improve nutrient use eciency in croplands. This new fertilization concept aims at taking advantage of nutrient cycling within an agroecosystem to obtain maximum production from each nutrient unit. To monitor this e ect, methodologies such as the Normalized Di erence Vegetation Index (NDVI) are promising to evaluate plant biomass and nutrient content. We evaluated the use of NDVI as a predictor of shoot biomass, P and K uptake, and yield in soybean. Treatments consisted of two production systems [integrated crop-livestock system (ICLS) and cropping system (CS)] and two periods of phosphorus (P) and potassium (K) fertilization (crop fertilization—P and K applied at soybean sowing—and system fertilization—P and K applied in the pasture establishment). NDVI was evaluated weekly from the growth stage V2 up to growth stage R8, using the Greenseeker® canopy sensor. At the growth stages V4, V6, R2, and R4, plants were sampled after NDVI evaluation for chemical analysis. Soybean yield and K uptake were similar between production systems and fertilization strategies (P > 0.05). Soybean shoot biomass and P uptake were, respectively, 25.3% and 29.7% higher in ICLS compared to CS (P < 0.05). For NDVI, an interaction between the production system and days after sowing (P < 0.05) was observed. NDVI increased to 0.95 at 96 days after sowing in CS and to 0.92 at 92 days after sowing in ICLS. A significant relationship between NDVI and shoot biomass, and P and K uptake was observed (P < 0.05). Our results show that the vegetation index NDVI can be used for estimating shoot biomass and P and K uptake in the early growth stages of soybean crops, providing farmers with a new tool for evaluating the spatial variability of soybean growth and nutrition. |
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Pailliè Jiménez, Maria ElisaFarias, Gustavo DuarteBremm, CarolinaBredemeier, ChristianMenezes, JeffersonAlves, Lucas AquinoTiecher, TalesMartins, Amanda PosseltFioravanço, Gabriela PaivaSilva, Gabriela Petry daCarvalho, Paulo Cesar de Faccio2023-07-21T03:30:05Z20232571-581Xhttp://hdl.handle.net/10183/262519001170896The system fertilization approach emerged to improve nutrient use eciency in croplands. This new fertilization concept aims at taking advantage of nutrient cycling within an agroecosystem to obtain maximum production from each nutrient unit. To monitor this e ect, methodologies such as the Normalized Di erence Vegetation Index (NDVI) are promising to evaluate plant biomass and nutrient content. We evaluated the use of NDVI as a predictor of shoot biomass, P and K uptake, and yield in soybean. Treatments consisted of two production systems [integrated crop-livestock system (ICLS) and cropping system (CS)] and two periods of phosphorus (P) and potassium (K) fertilization (crop fertilization—P and K applied at soybean sowing—and system fertilization—P and K applied in the pasture establishment). NDVI was evaluated weekly from the growth stage V2 up to growth stage R8, using the Greenseeker® canopy sensor. At the growth stages V4, V6, R2, and R4, plants were sampled after NDVI evaluation for chemical analysis. Soybean yield and K uptake were similar between production systems and fertilization strategies (P > 0.05). Soybean shoot biomass and P uptake were, respectively, 25.3% and 29.7% higher in ICLS compared to CS (P < 0.05). For NDVI, an interaction between the production system and days after sowing (P < 0.05) was observed. NDVI increased to 0.95 at 96 days after sowing in CS and to 0.92 at 92 days after sowing in ICLS. A significant relationship between NDVI and shoot biomass, and P and K uptake was observed (P < 0.05). Our results show that the vegetation index NDVI can be used for estimating shoot biomass and P and K uptake in the early growth stages of soybean crops, providing farmers with a new tool for evaluating the spatial variability of soybean growth and nutrition.application/pdfengFrontiers in Sustainable Food Systems. Lausanne. Vol. 6 (9 Jan. 2023), [Article] 959681, 12 p.AdubaçãoSojaQuímica do soloSystem fertilizationNutrient cyclingMixed systemFertilization approachPhosphorus uptakePotassium uptakeIntegrated crop-livestock systemNormalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategiesEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001170896.pdf.txt001170896.pdf.txtExtracted Texttext/plain50900http://www.lume.ufrgs.br/bitstream/10183/262519/2/001170896.pdf.txt8647d057e5b5251480e155a4ed4b5231MD52ORIGINAL001170896.pdfTexto completo (inglês)application/pdf883551http://www.lume.ufrgs.br/bitstream/10183/262519/1/001170896.pdf23c0aaca9ff3a46233d2090df0364976MD5110183/2625192023-07-22 03:40:54.737988oai:www.lume.ufrgs.br:10183/262519Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-07-22T06:40:54Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies |
title |
Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies |
spellingShingle |
Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies Pailliè Jiménez, Maria Elisa Adubação Soja Química do solo System fertilization Nutrient cycling Mixed system Fertilization approach Phosphorus uptake Potassium uptake Integrated crop-livestock system |
title_short |
Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies |
title_full |
Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies |
title_fullStr |
Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies |
title_full_unstemmed |
Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies |
title_sort |
Normalized difference vegetation index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies |
author |
Pailliè Jiménez, Maria Elisa |
author_facet |
Pailliè Jiménez, Maria Elisa Farias, Gustavo Duarte Bremm, Carolina Bredemeier, Christian Menezes, Jefferson Alves, Lucas Aquino Tiecher, Tales Martins, Amanda Posselt Fioravanço, Gabriela Paiva Silva, Gabriela Petry da Carvalho, Paulo Cesar de Faccio |
author_role |
author |
author2 |
Farias, Gustavo Duarte Bremm, Carolina Bredemeier, Christian Menezes, Jefferson Alves, Lucas Aquino Tiecher, Tales Martins, Amanda Posselt Fioravanço, Gabriela Paiva Silva, Gabriela Petry da Carvalho, Paulo Cesar de Faccio |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Pailliè Jiménez, Maria Elisa Farias, Gustavo Duarte Bremm, Carolina Bredemeier, Christian Menezes, Jefferson Alves, Lucas Aquino Tiecher, Tales Martins, Amanda Posselt Fioravanço, Gabriela Paiva Silva, Gabriela Petry da Carvalho, Paulo Cesar de Faccio |
dc.subject.por.fl_str_mv |
Adubação Soja Química do solo |
topic |
Adubação Soja Química do solo System fertilization Nutrient cycling Mixed system Fertilization approach Phosphorus uptake Potassium uptake Integrated crop-livestock system |
dc.subject.eng.fl_str_mv |
System fertilization Nutrient cycling Mixed system Fertilization approach Phosphorus uptake Potassium uptake Integrated crop-livestock system |
description |
The system fertilization approach emerged to improve nutrient use eciency in croplands. This new fertilization concept aims at taking advantage of nutrient cycling within an agroecosystem to obtain maximum production from each nutrient unit. To monitor this e ect, methodologies such as the Normalized Di erence Vegetation Index (NDVI) are promising to evaluate plant biomass and nutrient content. We evaluated the use of NDVI as a predictor of shoot biomass, P and K uptake, and yield in soybean. Treatments consisted of two production systems [integrated crop-livestock system (ICLS) and cropping system (CS)] and two periods of phosphorus (P) and potassium (K) fertilization (crop fertilization—P and K applied at soybean sowing—and system fertilization—P and K applied in the pasture establishment). NDVI was evaluated weekly from the growth stage V2 up to growth stage R8, using the Greenseeker® canopy sensor. At the growth stages V4, V6, R2, and R4, plants were sampled after NDVI evaluation for chemical analysis. Soybean yield and K uptake were similar between production systems and fertilization strategies (P > 0.05). Soybean shoot biomass and P uptake were, respectively, 25.3% and 29.7% higher in ICLS compared to CS (P < 0.05). For NDVI, an interaction between the production system and days after sowing (P < 0.05) was observed. NDVI increased to 0.95 at 96 days after sowing in CS and to 0.92 at 92 days after sowing in ICLS. A significant relationship between NDVI and shoot biomass, and P and K uptake was observed (P < 0.05). Our results show that the vegetation index NDVI can be used for estimating shoot biomass and P and K uptake in the early growth stages of soybean crops, providing farmers with a new tool for evaluating the spatial variability of soybean growth and nutrition. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-07-21T03:30:05Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/262519 |
dc.identifier.issn.pt_BR.fl_str_mv |
2571-581X |
dc.identifier.nrb.pt_BR.fl_str_mv |
001170896 |
identifier_str_mv |
2571-581X 001170896 |
url |
http://hdl.handle.net/10183/262519 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Frontiers in Sustainable Food Systems. Lausanne. Vol. 6 (9 Jan. 2023), [Article] 959681, 12 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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