Estimating sugarcane root length density through root mapping and orientation modelling
Root length density (RLD) is a key factor in crop functioning. A field method was developed to quantify RLD of sugarcane from root intersection density (RID) taking root orientations into account. RIDs were observed on three perpendicular soil planes and RLD was measured for the enclosed volume. RID and RLD of thick and fine roots were measured separately. These measurements were replicated at different ages and sites to test models describing RLD according to RID. Fine roots were nearly isotropic and thick roots had a preferential orientation, i.e. horizontal near the surface and becoming progressively vertical in deeper horizons. Relationships in thick roots were modelled according to COt: RLDt = RIDt. COt (COt: root orientation coefficient, ranged from 1.3 to 4.9 for thick roots). For fine roots (f ), COf=2. This theoretical model led to differences between measured and calculated RLD. The ratio between measured and calculated RLDf (CEf) increased from 1 to 3 with RIDf. CEf was introduced as an additional coefficient in the model: RLDf=2. NIf. CEf. Intermediate results were obtained for all (a) roots: COa and CEa were both dependent on RIDa, therefore: RLDa = NIa . COa. CEa. The models were validated with independent datasets from Brazil and France. These allowed a more robust prediction of RLD than direct regressions between RID and RLD. They may estimate RLD from RID in soil profiles by root mapping while taking RLD spatial variability into account.
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Subjects: | F62 - Physiologie végétale - Croissance et développement, F50 - Anatomie et morphologie des plantes, U10 - Informatique, mathématiques et statistiques, Saccharum, modèle de simulation, système racinaire, dimension, anatomie végétale, http://aims.fao.org/aos/agrovoc/c_6725, http://aims.fao.org/aos/agrovoc/c_24242, http://aims.fao.org/aos/agrovoc/c_16034, http://aims.fao.org/aos/agrovoc/c_2283, http://aims.fao.org/aos/agrovoc/c_5954, |
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dig-cirad-fr-5467992024-01-28T16:28:31Z http://agritrop.cirad.fr/546799/ http://agritrop.cirad.fr/546799/ Estimating sugarcane root length density through root mapping and orientation modelling. Chopart Jean-Louis, Rodrigues Silvia Rosa, Carvalho de Azevedo Mateus, De Conti Medina Cristiane. 2008. Plant and Soil, 313 (1-2) : 101-112.https://doi.org/10.1007/s11104-008-9683-4 <https://doi.org/10.1007/s11104-008-9683-4> Estimating sugarcane root length density through root mapping and orientation modelling Chopart, Jean-Louis Rodrigues, Silvia Rosa Carvalho de Azevedo, Mateus De Conti Medina, Cristiane eng 2008 Plant and Soil F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes U10 - Informatique, mathématiques et statistiques Saccharum modèle de simulation système racinaire dimension anatomie végétale http://aims.fao.org/aos/agrovoc/c_6725 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_16034 http://aims.fao.org/aos/agrovoc/c_2283 http://aims.fao.org/aos/agrovoc/c_5954 Root length density (RLD) is a key factor in crop functioning. A field method was developed to quantify RLD of sugarcane from root intersection density (RID) taking root orientations into account. RIDs were observed on three perpendicular soil planes and RLD was measured for the enclosed volume. RID and RLD of thick and fine roots were measured separately. These measurements were replicated at different ages and sites to test models describing RLD according to RID. Fine roots were nearly isotropic and thick roots had a preferential orientation, i.e. horizontal near the surface and becoming progressively vertical in deeper horizons. Relationships in thick roots were modelled according to COt: RLDt = RIDt. COt (COt: root orientation coefficient, ranged from 1.3 to 4.9 for thick roots). For fine roots (f ), COf=2. This theoretical model led to differences between measured and calculated RLD. The ratio between measured and calculated RLDf (CEf) increased from 1 to 3 with RIDf. CEf was introduced as an additional coefficient in the model: RLDf=2. NIf. CEf. Intermediate results were obtained for all (a) roots: COa and CEa were both dependent on RIDa, therefore: RLDa = NIa . COa. CEa. The models were validated with independent datasets from Brazil and France. These allowed a more robust prediction of RLD than direct regressions between RID and RLD. They may estimate RLD from RID in soil profiles by root mapping while taking RLD spatial variability into account. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/546799/1/document_546799.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/s11104-008-9683-4 10.1007/s11104-008-9683-4 info:eu-repo/semantics/altIdentifier/doi/10.1007/s11104-008-9683-4 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/s11104-008-9683-4 |
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F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes U10 - Informatique, mathématiques et statistiques Saccharum modèle de simulation système racinaire dimension anatomie végétale http://aims.fao.org/aos/agrovoc/c_6725 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_16034 http://aims.fao.org/aos/agrovoc/c_2283 http://aims.fao.org/aos/agrovoc/c_5954 F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes U10 - Informatique, mathématiques et statistiques Saccharum modèle de simulation système racinaire dimension anatomie végétale http://aims.fao.org/aos/agrovoc/c_6725 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_16034 http://aims.fao.org/aos/agrovoc/c_2283 http://aims.fao.org/aos/agrovoc/c_5954 |
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F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes U10 - Informatique, mathématiques et statistiques Saccharum modèle de simulation système racinaire dimension anatomie végétale http://aims.fao.org/aos/agrovoc/c_6725 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_16034 http://aims.fao.org/aos/agrovoc/c_2283 http://aims.fao.org/aos/agrovoc/c_5954 F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes U10 - Informatique, mathématiques et statistiques Saccharum modèle de simulation système racinaire dimension anatomie végétale http://aims.fao.org/aos/agrovoc/c_6725 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_16034 http://aims.fao.org/aos/agrovoc/c_2283 http://aims.fao.org/aos/agrovoc/c_5954 Chopart, Jean-Louis Rodrigues, Silvia Rosa Carvalho de Azevedo, Mateus De Conti Medina, Cristiane Estimating sugarcane root length density through root mapping and orientation modelling |
description |
Root length density (RLD) is a key factor in crop functioning. A field method was developed to quantify RLD of sugarcane from root intersection density (RID) taking root orientations into account. RIDs were observed on three perpendicular soil planes and RLD was measured for the enclosed volume. RID and RLD of thick and fine roots were measured separately. These measurements were replicated at different ages and sites to test models describing RLD according to RID. Fine roots were nearly isotropic and thick roots had a preferential orientation, i.e. horizontal near the surface and becoming progressively vertical in deeper horizons. Relationships in thick roots were modelled according to COt: RLDt = RIDt. COt (COt: root orientation coefficient, ranged from 1.3 to 4.9 for thick roots). For fine roots (f ), COf=2. This theoretical model led to differences between measured and calculated RLD. The ratio between measured and calculated RLDf (CEf) increased from 1 to 3 with RIDf. CEf was introduced as an additional coefficient in the model: RLDf=2. NIf. CEf. Intermediate results were obtained for all (a) roots: COa and CEa were both dependent on RIDa, therefore: RLDa = NIa . COa. CEa. The models were validated with independent datasets from Brazil and France. These allowed a more robust prediction of RLD than direct regressions between RID and RLD. They may estimate RLD from RID in soil profiles by root mapping while taking RLD spatial variability into account. |
format |
article |
topic_facet |
F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes U10 - Informatique, mathématiques et statistiques Saccharum modèle de simulation système racinaire dimension anatomie végétale http://aims.fao.org/aos/agrovoc/c_6725 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_16034 http://aims.fao.org/aos/agrovoc/c_2283 http://aims.fao.org/aos/agrovoc/c_5954 |
author |
Chopart, Jean-Louis Rodrigues, Silvia Rosa Carvalho de Azevedo, Mateus De Conti Medina, Cristiane |
author_facet |
Chopart, Jean-Louis Rodrigues, Silvia Rosa Carvalho de Azevedo, Mateus De Conti Medina, Cristiane |
author_sort |
Chopart, Jean-Louis |
title |
Estimating sugarcane root length density through root mapping and orientation modelling |
title_short |
Estimating sugarcane root length density through root mapping and orientation modelling |
title_full |
Estimating sugarcane root length density through root mapping and orientation modelling |
title_fullStr |
Estimating sugarcane root length density through root mapping and orientation modelling |
title_full_unstemmed |
Estimating sugarcane root length density through root mapping and orientation modelling |
title_sort |
estimating sugarcane root length density through root mapping and orientation modelling |
url |
http://agritrop.cirad.fr/546799/ http://agritrop.cirad.fr/546799/1/document_546799.pdf |
work_keys_str_mv |
AT chopartjeanlouis estimatingsugarcanerootlengthdensitythroughrootmappingandorientationmodelling AT rodriguessilviarosa estimatingsugarcanerootlengthdensitythroughrootmappingandorientationmodelling AT carvalhodeazevedomateus estimatingsugarcanerootlengthdensitythroughrootmappingandorientationmodelling AT decontimedinacristiane estimatingsugarcanerootlengthdensitythroughrootmappingandorientationmodelling |
_version_ |
1792497034040705024 |