首页|Isolating higher yielding and more stable rice geno-types in stress environments:fine-tuning a selection method using production and resilience score indices

Isolating higher yielding and more stable rice geno-types in stress environments:fine-tuning a selection method using production and resilience score indices

扫码查看
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.

Aerobic ricebreeding selectiondrought resilienceproduction capacity indexresilience capacity indexstress score indexupland

Arnauld THIRY、William J.DAVIES、Ian C.DODD

展开 >

Lancaster Environment Centre,Lancaster University,Lancaster,Lancashire LA1 4YW,UK

FONDECYT—World Bank fundNewton Fund Impact SchemeNewton-Paulet Fund partnership

017-2020630222342

2024

农业科学与工程前沿(英文版)

农业科学与工程前沿(英文版)

ISSN:
年,卷(期):2024.11(1)
  • 40