Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions

Brachiaria grasses are sown in tropical regions around the world, especially in the Neotropics, to improve livestock production. Waterlogging is a major constraint to the productivity and persistence of Brachiaria grasses during the rainy season. While some Brachiaria cultivars are moderately tolera...

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Main Authors: Jiménez Serna, Juan de la Cruz, Cardoso Arango, Juan Andrés, Leiva Sandoval, Luisa Fernanda, Gil, Juanita, Forero, Manuel G., Worthington, Margaret, Miles, John W., Rao, Idupulapati M.
Format: Journal Article
Language:Inglés
Published: Frontiers Media 2017
Subjects:
Online Access:https://hdl.handle.net/10568/79960
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author Jiménez Serna, Juan de la Cruz
Cardoso Arango, Juan Andrés
Leiva Sandoval, Luisa Fernanda
Gil, Juanita
Forero, Manuel G.
Worthington, Margaret
Miles, John W.
Rao, Idupulapati M.
author_browse Cardoso Arango, Juan Andrés
Forero, Manuel G.
Gil, Juanita
Jiménez Serna, Juan de la Cruz
Leiva Sandoval, Luisa Fernanda
Miles, John W.
Rao, Idupulapati M.
Worthington, Margaret
author_facet Jiménez Serna, Juan de la Cruz
Cardoso Arango, Juan Andrés
Leiva Sandoval, Luisa Fernanda
Gil, Juanita
Forero, Manuel G.
Worthington, Margaret
Miles, John W.
Rao, Idupulapati M.
author_sort Jiménez Serna, Juan de la Cruz
collection Repository of Agricultural Research Outputs (CGSpace)
description Brachiaria grasses are sown in tropical regions around the world, especially in the Neotropics, to improve livestock production. Waterlogging is a major constraint to the productivity and persistence of Brachiaria grasses during the rainy season. While some Brachiaria cultivars are moderately tolerant to seasonal waterlogging, none of the commercial cultivars combines superior yield potential and nutritional quality with a high level of waterlogging tolerance. The Brachiaria breeding program at the International Center for Tropical Agriculture, has been using recurrent selection for the past two decades to combine forage yield with resistance to biotic and abiotic stress factors. The main objective of this study was to test the suitability of normalized difference vegetation index (NDVI) and image-based phenotyping as non-destructive approaches to identify Brachiaria hybrids tolerant to waterlogging stress under field conditions. Nineteen promising hybrid selections from the breeding program and three commercial checks were evaluated for their tolerance to waterlogging under field conditions. The waterlogging treatment was imposed by applying and maintaining water to 3 cm above soil surface. Plant performance was determined non-destructively using proximal sensing and image-based phenotyping and also destructively via harvesting for comparison. Image analysis of projected green and dead areas, NDVI and shoot biomass were positively correlated (r ≥ 0.8). Our results indicate that image analysis and NDVI can serve as non-destructive screening approaches for the identification of Brachiaria hybrids tolerant to waterlogging stress.
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spelling CGSpace799602025-03-13T09:45:56Z Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions Jiménez Serna, Juan de la Cruz Cardoso Arango, Juan Andrés Leiva Sandoval, Luisa Fernanda Gil, Juanita Forero, Manuel G. Worthington, Margaret Miles, John W. Rao, Idupulapati M. feed crops brachiaria waterlogging image analysis livestock production phenotypes anegamiento análisis de imágenes producción pecuaria fenotipos Brachiaria grasses are sown in tropical regions around the world, especially in the Neotropics, to improve livestock production. Waterlogging is a major constraint to the productivity and persistence of Brachiaria grasses during the rainy season. While some Brachiaria cultivars are moderately tolerant to seasonal waterlogging, none of the commercial cultivars combines superior yield potential and nutritional quality with a high level of waterlogging tolerance. The Brachiaria breeding program at the International Center for Tropical Agriculture, has been using recurrent selection for the past two decades to combine forage yield with resistance to biotic and abiotic stress factors. The main objective of this study was to test the suitability of normalized difference vegetation index (NDVI) and image-based phenotyping as non-destructive approaches to identify Brachiaria hybrids tolerant to waterlogging stress under field conditions. Nineteen promising hybrid selections from the breeding program and three commercial checks were evaluated for their tolerance to waterlogging under field conditions. The waterlogging treatment was imposed by applying and maintaining water to 3 cm above soil surface. Plant performance was determined non-destructively using proximal sensing and image-based phenotyping and also destructively via harvesting for comparison. Image analysis of projected green and dead areas, NDVI and shoot biomass were positively correlated (r ≥ 0.8). Our results indicate that image analysis and NDVI can serve as non-destructive screening approaches for the identification of Brachiaria hybrids tolerant to waterlogging stress. 2017-02-13 2017-02-20T15:46:21Z 2017-02-20T15:46:21Z Journal Article https://hdl.handle.net/10568/79960 en Open Access Frontiers Media Jiménez, Juan de la Cruz; Cardoso, Juan A.; Leiva, Luisa F.; Gil, Juanita; Forero, Manuel G.; Worthington, Margaret L.; Miles, John W.; Rao, Idupulapati M.. 2016. Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions . Frontiers in Plant Science 8: 167.
spellingShingle feed crops
brachiaria
waterlogging
image analysis
livestock production
phenotypes
anegamiento
análisis de imágenes
producción pecuaria
fenotipos
Jiménez Serna, Juan de la Cruz
Cardoso Arango, Juan Andrés
Leiva Sandoval, Luisa Fernanda
Gil, Juanita
Forero, Manuel G.
Worthington, Margaret
Miles, John W.
Rao, Idupulapati M.
Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions
title Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions
title_full Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions
title_fullStr Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions
title_full_unstemmed Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions
title_short Non-destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions
title_sort non destructive phenotyping to identify brachiaria hybrids tolerant to waterlogging stress under field conditions
topic feed crops
brachiaria
waterlogging
image analysis
livestock production
phenotypes
anegamiento
análisis de imágenes
producción pecuaria
fenotipos
url https://hdl.handle.net/10568/79960
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