Water Stress Alters Morphophysiological, Grain Quality and Vegetation Indices of Soybean Cultivars
Rainfall is among the climatic factors that most affect production, as in the Brazilian Cerrado. Non-destructive and automated phenotyping methods are fast and efficient for genotype selection. The objective of this work was to evaluate, under field conditions, the morphophysiological changes, yield...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/11/4/559 |
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| author | Cássio Jardim Tavares Walter Quadros Ribeiro Junior Maria Lucrecia Gerosa Ramos Lucas Felisberto Pereira Raphael Augusto das Chagas Noqueli Casari André Ferreira Pereira Carlos Antonio Ferreira de Sousa Anderson Rodrigo da Silva Sebastião Pedro da Silva Neto Liliane Marcia Mertz-Henning |
| author_facet | Cássio Jardim Tavares Walter Quadros Ribeiro Junior Maria Lucrecia Gerosa Ramos Lucas Felisberto Pereira Raphael Augusto das Chagas Noqueli Casari André Ferreira Pereira Carlos Antonio Ferreira de Sousa Anderson Rodrigo da Silva Sebastião Pedro da Silva Neto Liliane Marcia Mertz-Henning |
| author_sort | Cássio Jardim Tavares |
| collection | DOAJ |
| description | Rainfall is among the climatic factors that most affect production, as in the Brazilian Cerrado. Non-destructive and automated phenotyping methods are fast and efficient for genotype selection. The objective of this work was to evaluate, under field conditions, the morphophysiological changes, yield, and grain quality of soybean (<i>Glycine max</i> L. Merrill) under water stress in the Brazilian Cerrado. The plots comprised six soybean cultivars and the subplots of four water regimes, corresponding to 31, 44, 64 and 100% of crop evapotranspiration replacement. The experiments were conducted from May to September 2018 and 2019. An irrigation system with a bar of sprinklers with different flow rates was used. Gas exchange, vegetation indices (measured using a hyperspectral sensor embedded in a drone), yield and grain quality were evaluated. Water stress had different effects on gas exchange, vegetation indices, grain yield and chemical composition among the cultivars. Embrapa cultivar BRS 7280 Roundup ready (RR) and Nidera cultivar NA 5909 RG (glyphosate resistant) are yield stable and have a greater tolerance to drought. BRS 7280RR showed a higher tolerance to drought and higher water use efficiency (WUE) than all other tested cultivars. Vegetation indices, such as the NDVI (Normalized Difference Vegetation Index), correlated with the morphophysiological traits, such as plant height, were the most responsive variables to water stress. The NDVI can be used to predict soybean yield as a tool in a selection program under drought. |
| first_indexed | 2024-03-09T21:12:07Z |
| format | Article |
| id | doaj.art-71b1465b580442b89f34ee47d997048a |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-09T21:12:07Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-71b1465b580442b89f34ee47d997048a2023-11-23T21:43:23ZengMDPI AGPlants2223-77472022-02-0111455910.3390/plants11040559Water Stress Alters Morphophysiological, Grain Quality and Vegetation Indices of Soybean CultivarsCássio Jardim Tavares0Walter Quadros Ribeiro Junior1Maria Lucrecia Gerosa Ramos2Lucas Felisberto Pereira3Raphael Augusto das Chagas Noqueli Casari4André Ferreira Pereira5Carlos Antonio Ferreira de Sousa6Anderson Rodrigo da Silva7Sebastião Pedro da Silva Neto8Liliane Marcia Mertz-Henning9Federal Institute Goiano, Campus Cristalina, CEP, Cristalina 73850-000, GO, BrazilBrazilian Agricultural Research Corporation—(EMBRAPA Cerrados), Planaltina 73310-970, DF, BrazilFaculty of Agronomy and Veterinary Medicine, University of Brasília, Brasília 70910-900, DF, BrazilFederal Institute Goiano, Campus Posse, Posse 73900-000, GO, BrazilInstitute of Geociences, University of Brasília, Brasília 70910-970, DF, BrazilBrazilian Agricultural Research Corporation—(EMBRAPA Cerrados), Planaltina 73310-970, DF, BrazilBrazilian Agricultural Research Corporation, (EMBRAPA Meio-Norte), Teresina 64008-780, PI, BrazilFederal Institute Goiano, Campus Urutaí, Urutaí 75790-000, GO, BrazilBrazilian Agricultural Research Corporation—(EMBRAPA Cerrados), Planaltina 73310-970, DF, BrazilBrazilian Agricultural Research Corporation, National Center for Soybean Research, (EMBRAPA SOJA), Londrina 86001-970, PR, BrazilRainfall is among the climatic factors that most affect production, as in the Brazilian Cerrado. Non-destructive and automated phenotyping methods are fast and efficient for genotype selection. The objective of this work was to evaluate, under field conditions, the morphophysiological changes, yield, and grain quality of soybean (<i>Glycine max</i> L. Merrill) under water stress in the Brazilian Cerrado. The plots comprised six soybean cultivars and the subplots of four water regimes, corresponding to 31, 44, 64 and 100% of crop evapotranspiration replacement. The experiments were conducted from May to September 2018 and 2019. An irrigation system with a bar of sprinklers with different flow rates was used. Gas exchange, vegetation indices (measured using a hyperspectral sensor embedded in a drone), yield and grain quality were evaluated. Water stress had different effects on gas exchange, vegetation indices, grain yield and chemical composition among the cultivars. Embrapa cultivar BRS 7280 Roundup ready (RR) and Nidera cultivar NA 5909 RG (glyphosate resistant) are yield stable and have a greater tolerance to drought. BRS 7280RR showed a higher tolerance to drought and higher water use efficiency (WUE) than all other tested cultivars. Vegetation indices, such as the NDVI (Normalized Difference Vegetation Index), correlated with the morphophysiological traits, such as plant height, were the most responsive variables to water stress. The NDVI can be used to predict soybean yield as a tool in a selection program under drought.https://www.mdpi.com/2223-7747/11/4/559NDVIphotochemical reflectance indexgas exchangeautomation |
| spellingShingle | Cássio Jardim Tavares Walter Quadros Ribeiro Junior Maria Lucrecia Gerosa Ramos Lucas Felisberto Pereira Raphael Augusto das Chagas Noqueli Casari André Ferreira Pereira Carlos Antonio Ferreira de Sousa Anderson Rodrigo da Silva Sebastião Pedro da Silva Neto Liliane Marcia Mertz-Henning Water Stress Alters Morphophysiological, Grain Quality and Vegetation Indices of Soybean Cultivars Plants NDVI photochemical reflectance index gas exchange automation |
| title | Water Stress Alters Morphophysiological, Grain Quality and Vegetation Indices of Soybean Cultivars |
| title_full | Water Stress Alters Morphophysiological, Grain Quality and Vegetation Indices of Soybean Cultivars |
| title_fullStr | Water Stress Alters Morphophysiological, Grain Quality and Vegetation Indices of Soybean Cultivars |
| title_full_unstemmed | Water Stress Alters Morphophysiological, Grain Quality and Vegetation Indices of Soybean Cultivars |
| title_short | Water Stress Alters Morphophysiological, Grain Quality and Vegetation Indices of Soybean Cultivars |
| title_sort | water stress alters morphophysiological grain quality and vegetation indices of soybean cultivars |
| topic | NDVI photochemical reflectance index gas exchange automation |
| url | https://www.mdpi.com/2223-7747/11/4/559 |
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