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DOI10.15302/J-FASE-2023521
Isolating higher yielding and more stable rice genotypes in stress environments: fine-tuning a selection method using production and resilience score indices
Thiry, Arnauld; Davies, William J.; Dodd, Ian C.
发表日期2024
ISSN2095-7505
EISSN2095-977X
起始页码11
结束页码1
卷号11期号:1
英文摘要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.
英文关键词Aerobic rice; breeding selection; drought resilience; production capacity index; resilience capacity index; stress score index; upland
语种英语
WOS研究方向Agriculture
WOS类目Agronomy
WOS记录号WOS:001186296600010
来源期刊FRONTIERS OF AGRICULTURAL SCIENCE AND ENGINEERING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/296937
作者单位Lancaster University
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GB/T 7714
Thiry, Arnauld,Davies, William J.,Dodd, Ian C.. Isolating higher yielding and more stable rice genotypes in stress environments: fine-tuning a selection method using production and resilience score indices[J],2024,11(1).
APA Thiry, Arnauld,Davies, William J.,&Dodd, Ian C..(2024).Isolating higher yielding and more stable rice genotypes in stress environments: fine-tuning a selection method using production and resilience score indices.FRONTIERS OF AGRICULTURAL SCIENCE AND ENGINEERING,11(1).
MLA Thiry, Arnauld,et al."Isolating higher yielding and more stable rice genotypes in stress environments: fine-tuning a selection method using production and resilience score indices".FRONTIERS OF AGRICULTURAL SCIENCE AND ENGINEERING 11.1(2024).
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