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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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 |
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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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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 |