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Shoot and Root Development in Rice Related to the Phyllochron
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TLDR
The leaf number concept provides researchers with an effective index for studying development of shoot and root systems in rice, including the prediction of tiller morphology, the estimation of potential tiller increase, and analysis of root system dynamics.Citations
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A Uniform, Objective, and Adaptive System for Expressing Rice Development
TL;DR: This work proposes a rice developmental staging system divided into three main phases of development: seedling, vegetative, and reproductive, and assigns rice growth stages based on discrete morphological criteria to result in unambiguous growth-stage determination.
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A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers
TL;DR: In this article, the authors review the plant physiological and bio-ecological factors associated with agronomic practices that could explain the extraordinary yields in terms of synergies resulting from the judicious management of the major crop production factors: time, space, water, plant nutrients and labour.
Journal ArticleDOI
Genome-Wide Association Mapping of Root Traits in a Japonica Rice Panel
Brigitte Courtois,Alain Audebert,Audrey Dardou,Sandrine Roques,Thaura Ghneim-Herrera,Gaëtan Droc,Julien Frouin,Lauriane Rouan,Eric Gozé,Andrzej Kilian,Nourollah Ahmadi,Michaël Dingkuhn +11 more
TL;DR: An association mapping study for root traits using a panel of 167 japonica accessions and finding several likely candidate genes were found in close proximity to these loci, including several co-localized with rice genes known to be involved in root growth.
Journal ArticleDOI
A critical assessment of the system of rice intensification (SRI)
TL;DR: The system of rice intensification (SRI) has been proposed as an integrated and agroecologically sound approach to rice (Oryza sativa L.) cultivation as discussed by the authors.
Journal ArticleDOI
Rice Root Genetic Architecture: Meta-analysis from a Drought QTL Database
Brigitte Courtois,Nourollah Ahmadi,Farhkanda S. Khowaja,Adam H. Price,Jean-François Rami,Julien Frouin,Chantal Hamelin,Manuel Ruiz +7 more
TL;DR: A web-accessible database of 675 root QTLs detected in 12 populations was constructed and the physical position on the pseudo-chromosomes of the markers flanking each QTL was determined and the meta-QTL confidence intervals were notably reduced.
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A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers
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