Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits

The GRiSP Global Rice Phenotyping Network seeks to assemble a multi-environment, multi-trait phenomics resource for rice (Oryza sativa L.) diversity panels in order to understand existing genetic diversity and identify genes/alleles conveying adaptation and yield potential. Phenology is central to plant adaptation and productivity in different agro-ecologies. We studied a panel of 209 accessions, including 189 indica types and 20 acc. representing other genetic groups. The panel was field-phenotyped under flooded conditions for duration to flowering (F) for 6 sowing dates in Senegal (capturing different thermal and day length regimes) and during two years at two altitudes (mid, 857 m asl; high, 1497 m asl; with similar latitude) in Madagascar. The experiments had an augmented design in Senegal (6 blocks × 6 dates as subplots and 209 acc. as sub-subplot) with 4 replicated check varieties; and a complete block design with 3 replications at 2 sites × 2 years in Madagascar. To dissociate different traits contributing to variation of F, five genotypic Index Variables were calculated. Among them, PCA identified three as describing 98% of diversity: Estimated basic vegetative phase (BVP), photoperiod (PP) sensitivity, and altitude response. Three clusters were identified within the indica group and related to genotype origin, agronomic type and ecosystem of adaptation. Cluster C1 was PP-sensitive, C2 had short BVP and C3 had long BVP. Within C1, a sub-cluster was highly altitude sensitive, and within C3 two sub-clusters were comparatively altitude insensitive. Harvest index (HI), aboveground dw and stem height observed in the most favorable environment (Senegal wet season) showed distinct patterns among clusters, with C2 having high HI and C1 being tall. The phenomics resources will be further analyzed using a crop model and genome-wide association (GWA) studies.

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Main Authors: Dingkuhn, Michael, Sow, Abdoulaye, Manneh, Baboucarr, Radanielina, Tendro, Raboin, Louis-Marie, Dusserre, Julie, Ramantsoanirina, Alain, Shrestha, Suchit, Ahmadi, Nourollah, Courtois, Brigitte
Format: article biblioteca
Language:eng
Subjects:F30 - Génétique et amélioration des plantes, F50 - Anatomie et morphologie des plantes, F60 - Physiologie et biochimie végétale, Oryza sativa, intéraction génotype environnement, phénotype, floraison, photopériodicité, variation génétique, adaptation, rendement des cultures, facteur du milieu, région d'altitude, facteur écologique, modélisation des cultures, anatomie végétale, date de semis, système de culture, adaptation physiologique, agrobiodiversité, http://aims.fao.org/aos/agrovoc/c_5438, http://aims.fao.org/aos/agrovoc/c_24577, http://aims.fao.org/aos/agrovoc/c_5776, http://aims.fao.org/aos/agrovoc/c_2992, http://aims.fao.org/aos/agrovoc/c_5809, http://aims.fao.org/aos/agrovoc/c_15975, http://aims.fao.org/aos/agrovoc/c_117, http://aims.fao.org/aos/agrovoc/c_10176, http://aims.fao.org/aos/agrovoc/c_2594, http://aims.fao.org/aos/agrovoc/c_3614, http://aims.fao.org/aos/agrovoc/c_36389, http://aims.fao.org/aos/agrovoc/c_9000024, http://aims.fao.org/aos/agrovoc/c_5954, http://aims.fao.org/aos/agrovoc/c_16208, http://aims.fao.org/aos/agrovoc/c_1971, http://aims.fao.org/aos/agrovoc/c_27639, http://aims.fao.org/aos/agrovoc/c_37977, http://aims.fao.org/aos/agrovoc/c_6970, http://aims.fao.org/aos/agrovoc/c_4510,
Online Access:http://agritrop.cirad.fr/577742/
http://agritrop.cirad.fr/577742/1/Dingkuhn%20et%20al1_FieldCropRes_15.pdf
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id dig-cirad-fr-577742
record_format koha
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F30 - Génétique et amélioration des plantes
F50 - Anatomie et morphologie des plantes
F60 - Physiologie et biochimie végétale
Oryza sativa
intéraction génotype environnement
phénotype
floraison
photopériodicité
variation génétique
adaptation
rendement des cultures
facteur du milieu
région d'altitude
facteur écologique
modélisation des cultures
anatomie végétale
date de semis
système de culture
adaptation physiologique
agrobiodiversité
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_24577
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_5809
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_117
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_3614
http://aims.fao.org/aos/agrovoc/c_36389
http://aims.fao.org/aos/agrovoc/c_9000024
http://aims.fao.org/aos/agrovoc/c_5954
http://aims.fao.org/aos/agrovoc/c_16208
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_27639
http://aims.fao.org/aos/agrovoc/c_37977
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
F30 - Génétique et amélioration des plantes
F50 - Anatomie et morphologie des plantes
F60 - Physiologie et biochimie végétale
Oryza sativa
intéraction génotype environnement
phénotype
floraison
photopériodicité
variation génétique
adaptation
rendement des cultures
facteur du milieu
région d'altitude
facteur écologique
modélisation des cultures
anatomie végétale
date de semis
système de culture
adaptation physiologique
agrobiodiversité
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_24577
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_5809
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_117
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_3614
http://aims.fao.org/aos/agrovoc/c_36389
http://aims.fao.org/aos/agrovoc/c_9000024
http://aims.fao.org/aos/agrovoc/c_5954
http://aims.fao.org/aos/agrovoc/c_16208
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_27639
http://aims.fao.org/aos/agrovoc/c_37977
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
spellingShingle F30 - Génétique et amélioration des plantes
F50 - Anatomie et morphologie des plantes
F60 - Physiologie et biochimie végétale
Oryza sativa
intéraction génotype environnement
phénotype
floraison
photopériodicité
variation génétique
adaptation
rendement des cultures
facteur du milieu
région d'altitude
facteur écologique
modélisation des cultures
anatomie végétale
date de semis
système de culture
adaptation physiologique
agrobiodiversité
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_24577
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_5809
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_117
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_3614
http://aims.fao.org/aos/agrovoc/c_36389
http://aims.fao.org/aos/agrovoc/c_9000024
http://aims.fao.org/aos/agrovoc/c_5954
http://aims.fao.org/aos/agrovoc/c_16208
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_27639
http://aims.fao.org/aos/agrovoc/c_37977
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
F30 - Génétique et amélioration des plantes
F50 - Anatomie et morphologie des plantes
F60 - Physiologie et biochimie végétale
Oryza sativa
intéraction génotype environnement
phénotype
floraison
photopériodicité
variation génétique
adaptation
rendement des cultures
facteur du milieu
région d'altitude
facteur écologique
modélisation des cultures
anatomie végétale
date de semis
système de culture
adaptation physiologique
agrobiodiversité
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_24577
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_5809
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_117
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_3614
http://aims.fao.org/aos/agrovoc/c_36389
http://aims.fao.org/aos/agrovoc/c_9000024
http://aims.fao.org/aos/agrovoc/c_5954
http://aims.fao.org/aos/agrovoc/c_16208
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_27639
http://aims.fao.org/aos/agrovoc/c_37977
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
Dingkuhn, Michael
Sow, Abdoulaye
Manneh, Baboucarr
Radanielina, Tendro
Raboin, Louis-Marie
Dusserre, Julie
Ramantsoanirina, Alain
Shrestha, Suchit
Ahmadi, Nourollah
Courtois, Brigitte
Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits
description The GRiSP Global Rice Phenotyping Network seeks to assemble a multi-environment, multi-trait phenomics resource for rice (Oryza sativa L.) diversity panels in order to understand existing genetic diversity and identify genes/alleles conveying adaptation and yield potential. Phenology is central to plant adaptation and productivity in different agro-ecologies. We studied a panel of 209 accessions, including 189 indica types and 20 acc. representing other genetic groups. The panel was field-phenotyped under flooded conditions for duration to flowering (F) for 6 sowing dates in Senegal (capturing different thermal and day length regimes) and during two years at two altitudes (mid, 857 m asl; high, 1497 m asl; with similar latitude) in Madagascar. The experiments had an augmented design in Senegal (6 blocks × 6 dates as subplots and 209 acc. as sub-subplot) with 4 replicated check varieties; and a complete block design with 3 replications at 2 sites × 2 years in Madagascar. To dissociate different traits contributing to variation of F, five genotypic Index Variables were calculated. Among them, PCA identified three as describing 98% of diversity: Estimated basic vegetative phase (BVP), photoperiod (PP) sensitivity, and altitude response. Three clusters were identified within the indica group and related to genotype origin, agronomic type and ecosystem of adaptation. Cluster C1 was PP-sensitive, C2 had short BVP and C3 had long BVP. Within C1, a sub-cluster was highly altitude sensitive, and within C3 two sub-clusters were comparatively altitude insensitive. Harvest index (HI), aboveground dw and stem height observed in the most favorable environment (Senegal wet season) showed distinct patterns among clusters, with C2 having high HI and C1 being tall. The phenomics resources will be further analyzed using a crop model and genome-wide association (GWA) studies.
format article
topic_facet F30 - Génétique et amélioration des plantes
F50 - Anatomie et morphologie des plantes
F60 - Physiologie et biochimie végétale
Oryza sativa
intéraction génotype environnement
phénotype
floraison
photopériodicité
variation génétique
adaptation
rendement des cultures
facteur du milieu
région d'altitude
facteur écologique
modélisation des cultures
anatomie végétale
date de semis
système de culture
adaptation physiologique
agrobiodiversité
http://aims.fao.org/aos/agrovoc/c_5438
http://aims.fao.org/aos/agrovoc/c_24577
http://aims.fao.org/aos/agrovoc/c_5776
http://aims.fao.org/aos/agrovoc/c_2992
http://aims.fao.org/aos/agrovoc/c_5809
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_117
http://aims.fao.org/aos/agrovoc/c_10176
http://aims.fao.org/aos/agrovoc/c_2594
http://aims.fao.org/aos/agrovoc/c_3614
http://aims.fao.org/aos/agrovoc/c_36389
http://aims.fao.org/aos/agrovoc/c_9000024
http://aims.fao.org/aos/agrovoc/c_5954
http://aims.fao.org/aos/agrovoc/c_16208
http://aims.fao.org/aos/agrovoc/c_1971
http://aims.fao.org/aos/agrovoc/c_27639
http://aims.fao.org/aos/agrovoc/c_37977
http://aims.fao.org/aos/agrovoc/c_6970
http://aims.fao.org/aos/agrovoc/c_4510
author Dingkuhn, Michael
Sow, Abdoulaye
Manneh, Baboucarr
Radanielina, Tendro
Raboin, Louis-Marie
Dusserre, Julie
Ramantsoanirina, Alain
Shrestha, Suchit
Ahmadi, Nourollah
Courtois, Brigitte
author_facet Dingkuhn, Michael
Sow, Abdoulaye
Manneh, Baboucarr
Radanielina, Tendro
Raboin, Louis-Marie
Dusserre, Julie
Ramantsoanirina, Alain
Shrestha, Suchit
Ahmadi, Nourollah
Courtois, Brigitte
author_sort Dingkuhn, Michael
title Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits
title_short Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits
title_full Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits
title_fullStr Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits
title_full_unstemmed Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits
title_sort field phenomics for response of a rice diversity panel to ten environments in senegal and madagascar. 1. plant phenological traits
url http://agritrop.cirad.fr/577742/
http://agritrop.cirad.fr/577742/1/Dingkuhn%20et%20al1_FieldCropRes_15.pdf
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spelling dig-cirad-fr-5777422024-06-27T16:04:31Z http://agritrop.cirad.fr/577742/ http://agritrop.cirad.fr/577742/ Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits. Dingkuhn Michael, Sow Abdoulaye, Manneh Baboucarr, Radanielina Tendro, Raboin Louis-Marie, Dusserre Julie, Ramantsoanirina Alain, Shrestha Suchit, Ahmadi Nourollah, Courtois Brigitte. 2015. Field Crops Research, 183 : 342-355.https://doi.org/10.1016/j.fcr.2015.07.027 <https://doi.org/10.1016/j.fcr.2015.07.027> Field phenomics for response of a rice diversity panel to ten environments in Senegal and Madagascar. 1. Plant phenological traits Dingkuhn, Michael Sow, Abdoulaye Manneh, Baboucarr Radanielina, Tendro Raboin, Louis-Marie Dusserre, Julie Ramantsoanirina, Alain Shrestha, Suchit Ahmadi, Nourollah Courtois, Brigitte eng 2015 Field Crops Research F30 - Génétique et amélioration des plantes F50 - Anatomie et morphologie des plantes F60 - Physiologie et biochimie végétale Oryza sativa intéraction génotype environnement phénotype floraison photopériodicité variation génétique adaptation rendement des cultures facteur du milieu région d'altitude facteur écologique modélisation des cultures anatomie végétale date de semis système de culture adaptation physiologique agrobiodiversité http://aims.fao.org/aos/agrovoc/c_5438 http://aims.fao.org/aos/agrovoc/c_24577 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_2992 http://aims.fao.org/aos/agrovoc/c_5809 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_117 http://aims.fao.org/aos/agrovoc/c_10176 http://aims.fao.org/aos/agrovoc/c_2594 http://aims.fao.org/aos/agrovoc/c_3614 http://aims.fao.org/aos/agrovoc/c_36389 http://aims.fao.org/aos/agrovoc/c_9000024 http://aims.fao.org/aos/agrovoc/c_5954 http://aims.fao.org/aos/agrovoc/c_16208 http://aims.fao.org/aos/agrovoc/c_1971 http://aims.fao.org/aos/agrovoc/c_27639 http://aims.fao.org/aos/agrovoc/c_37977 Sénégal Madagascar http://aims.fao.org/aos/agrovoc/c_6970 http://aims.fao.org/aos/agrovoc/c_4510 The GRiSP Global Rice Phenotyping Network seeks to assemble a multi-environment, multi-trait phenomics resource for rice (Oryza sativa L.) diversity panels in order to understand existing genetic diversity and identify genes/alleles conveying adaptation and yield potential. Phenology is central to plant adaptation and productivity in different agro-ecologies. We studied a panel of 209 accessions, including 189 indica types and 20 acc. representing other genetic groups. The panel was field-phenotyped under flooded conditions for duration to flowering (F) for 6 sowing dates in Senegal (capturing different thermal and day length regimes) and during two years at two altitudes (mid, 857 m asl; high, 1497 m asl; with similar latitude) in Madagascar. The experiments had an augmented design in Senegal (6 blocks × 6 dates as subplots and 209 acc. as sub-subplot) with 4 replicated check varieties; and a complete block design with 3 replications at 2 sites × 2 years in Madagascar. To dissociate different traits contributing to variation of F, five genotypic Index Variables were calculated. Among them, PCA identified three as describing 98% of diversity: Estimated basic vegetative phase (BVP), photoperiod (PP) sensitivity, and altitude response. Three clusters were identified within the indica group and related to genotype origin, agronomic type and ecosystem of adaptation. Cluster C1 was PP-sensitive, C2 had short BVP and C3 had long BVP. Within C1, a sub-cluster was highly altitude sensitive, and within C3 two sub-clusters were comparatively altitude insensitive. Harvest index (HI), aboveground dw and stem height observed in the most favorable environment (Senegal wet season) showed distinct patterns among clusters, with C2 having high HI and C1 being tall. The phenomics resources will be further analyzed using a crop model and genome-wide association (GWA) studies. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/577742/1/Dingkuhn%20et%20al1_FieldCropRes_15.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.fcr.2015.07.027 10.1016/j.fcr.2015.07.027 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fcr.2015.07.027 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.fcr.2015.07.027