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Root hairs and lateral root proliferation enhance rice seedling rhizosheath development and ABA accumulation under soil water deficit
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作者 Jing Chen Shin Taketa +1 位作者 Jianchang Yang ian c.dodd 《The Crop Journal》 2025年第6期1854-1865,共12页
Rhizosheath development benefits drought resistance in many upland crops.Although water-saving irrigation techniques induce rice rhizosheath formation,how and whether root hairs and different root types influence rice... Rhizosheath development benefits drought resistance in many upland crops.Although water-saving irrigation techniques induce rice rhizosheath formation,how and whether root hairs and different root types influence rice rhizosheath development and shoot water relations at seedling stage in drying soil are unclear.Wild-type(WT)seedlings with root hairs and its root hairless mutant rth2 were watered every 2 or 4 d,with root hair,whole root and shoot traits determined.Less frequent irrigation significantly increased rhizosheath of both genotypes by 14%during the seedling stage.Although root exudates from rth2 adhered 54%more soil than WT,facilitating rhizosheath development,root hairs and 25%greater lateral root proliferation of WT seedlings allowed 48%more rhizosheath especially in older seedlings.Greater root hair length,root hair length density and root hair number/root surface area on lateral than axial roots especially enhanced WT rhizosheath development.Soil water deficit increased root and leaf ABA concentrations especially in WT seedlings,causing stomatal closure that contributed to increased leaf water potential.In 36-d-old seedlings,10%greater shoot biomass of WT plants than rth2 accompanied 15%higher root and 36%higher foliar ABA concentrations and ultimately lower stomatal conductance.Higher ABA concentrations of WT plants at the same soil moisture suggested root hairs may be important in mediating shoot water status of rice seedlings. 展开更多
关键词 Root system development Rhizosheath Irrigation frequency Leaf water potential Root exudate Soil adhesion Stomatal conductance
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SHui, an EU-Chinese cooperative project to optimize soil and water management in agricultural areas in the ⅩⅪ century
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作者 José A.Gómez Alon Ben-Gal +19 位作者 Juan J.Alarcón Gabrielle De Lannoy Shannon de Roos Tomá(s)Dostál Elias Fereres Diego S.Intrigliolo Josef Krása Andreas Klik Gunther Liebhard Reinhard Nolz Aviva Peeters Elke Plaas John N.Quinton Rui Miao Peter Strauss Weifeng Xu Zhiqiang Zhang Funing Zhong David Zumr ian c.dodd 《International Soil and Water Conservation Research》 SCIE CSCD 2020年第1期1-14,共14页
This article outlines the major scientific objectives of the SHui project that seeks to optimize soil and water use in agricultural systems in the EU and China,by considering major current scientific challenges in thi... This article outlines the major scientific objectives of the SHui project that seeks to optimize soil and water use in agricultural systems in the EU and China,by considering major current scientific challenges in this area.SHui(for Soil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping systems)is large cooperative project that aims to provide significant advances through transdisciplinary research at multiple scales(plot,field,catchment and region).This paper explains our research platform of long-term experiments established at plot scale,approaches taken to integrate crop and hydrological models at field scale;coupled crop models and satellite-based observations at regional scales;decision support systems for specific farming situations;and the integration of these technologies to provide policy recommendations through socio-economic analysis of the impact of soil and water saving technologies.It also outlines the training of stake-holders to develop a basic common curriculum despite the subject being distributed across different disciplines and professions.As such,this article provides a review of major challenges for improving soil and water use in EU and China as well as information about the potential to access information made available by SHui,and to allow others to engage with the project. 展开更多
关键词 YIELD SUSTAINABILITY CROPPING COOPERATION
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Isolating higher yielding and more stable rice genotypes in stress environments: fine-tuning a selection method using production and resilience score indices
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作者 Arnauld THIRY William J.DAVIES ian c.dodd 《Frontiers of Agricultural Science and Engineering》 CSCD 2024年第1期169-185,共17页
In Asia, the rice crop sustains millions of people. However, growing demand for this crop needs to be met while simultaneously reducing its water consumption to cope with the effects of climate change. Lowland croppin... In Asia, the rice crop sustains millions of people. However, growing demand for this crop needs to be met while simultaneously reducing its water consumption to cope with the effects of climate change. Lowland cropping systems are the most common and productive but have particularly high water requirements. High-yielding rice genotypes adapted to drier environments(such as rainfed or aerobic rice ecosystems) are needed to increase the water use efficiency of cropping. Identifying these genotypes requires fast and more accurate selection methods. It is hypothesized that applying a new quantitative selection method(the score index selection method), can usefully compare rice yield responses over different years and stress intensities to select genotypes more rapidly and efficiently. Applying the score index to previously published rice yield data for 39 genotypes grown in no-stress and two stress environments, identified three genotypes(ARB 8, IR55419-04 and ARB 7) with higher and stable yield under moderate to severe stress conditions. These genotypes are postulated to be better adapted to stress environment such as upland and aerobic environments. Importantly, the score index selection method offers improved precision than the conventional breeding selection method in identifying genotypes that are well-suited to a range of stress levels within the target environment. 展开更多
关键词 Aerobic rice breeding selection drought resilience production capacity index resilience capacity index stress score index upland
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