详细信息
Breeding for climate resilience in castor: Current status, challenges, and opportunities ( EI收录) 被引量:241
文献类型:期刊文献
英文题名:Breeding for climate resilience in castor: Current status, challenges, and opportunities
作者:Yin, Xuegui[1]; Lu, Jiannong[1]; Agyenim-Boateng, Kwadwo Gyapong[1]; Liu, Shuai[1]
机构:[1] Agricultural College, Guangdong Ocean University, Zhanjiang, Guangdong, China
年份:2019
起止页码:441
外文期刊名:Genomic Designing of Climate-Smart Oilseed Crops
收录:EI(收录号:20194507665230)
语种:英文
外文关键词:Fossil fuels - Soil pollution - Bioremediation - Oils and fats - Genome - Heavy metals - Plants (botany) - Climate change - Diesel fuels - Energy security - Proven reserves - Crops
外文摘要:Climate change and fossil fuel reserve depletion both pose challenges for energy security and well-being. Renewable bioenergy is considered as one of the practical alternative and castor plant is a potential choice due to the wide uses of castor oil in the industry. As a nonedible crop, castor plant is suitable for planting in marginal lands, without competition with food crops because of its strong tolerance to drought, high concentration of salt, and the adaptability to climate warming. Additionally, castor plant can be planted in heavy metal contaminated soils for phytoremediation. Lower genetic diversity, poor characterization and exploitation of germplasm and relative lag in genetic research limited castor breeding, resulting in low improvement of castor and the lack of high-yielding varieties with strong resistance to diseases and pests. With the development of the global economy, the increasing labor costs made it a great challenge for developing varieties suitable for machine harvesting. In this chapter, the challenges, priorities, and prospects of castor breeding were reviewed. The climate-smart (CS) traits, the genetic resources of CS genes, and the classical genetics and traditional breeding for CS traits are described; The achievements of molecular mapping of CS genes/QTLs, marker-assisted breeding, genomics-aided breeding, and genetic engineering for CS traits are summarized. These contents are expected to facilitate castor plant research and breeding for CS traits. ? Springer Nature Switzerland AG 2019.
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