首页|Chinese Academy of Agricultural Sciences Reports Findings in Machine Learning (M achine learning phenotyping and GWAS reveal genetic basis of Cd tolerance and ab sorption in jute)
Chinese Academy of Agricultural Sciences Reports Findings in Machine Learning (M achine learning phenotyping and GWAS reveal genetic basis of Cd tolerance and ab sorption in jute)
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New research on Machine Learning is th e subject of a report. According to news reporting from Changsha, People's Repub lic of China, by NewsRx journalists, research stated, "Cadmium (Cd) is a dangero us environmental contaminant. Jute (Corchorus sp.) is an important natural fiber crop with strong absorption and excellent adaptability to metal-stressed enviro nments, used in the phytoextraction of heavy metals." The news correspondents obtained a quote from the research from the Chinese Acad emy of Agricultural Sciences, "Understanding the genetic and molecular mechanism s underlying Cd tolerance and accumulation in plants is essential for efficient phytoremediation strategies and breeding novel Cd-tolerant cultivars. Here, mach ine learning (ML) and hyperspectral imaging (HSI) combining genome-wide associat ion studies (GWAS) and RNA-seq reveal the genetic basis of Cd resistance and abs orption in jute. ML needs a small number of plant phenotypes for training and ca n complete the plant phenotyping of large-scale populations with efficiency and accuracy greater than 90%. In particular, a candidate gene for Cd r esistance (COS02g_02406) and a candidate gene (COS06g_ 03984) associated with Cd absorption are identified in isoflavonoid biosynthesis and ethylene response signaling pathways. COS02g_02406 may enable plants to cope with metal stress by regulating isoflavonoid biosynthesis involve d in antioxidant defense and metal chelation. COS06g_03984 promotes the binding of Cd to ETR/ERS, resulting in Cd absorption and tolerance."
ChangshaPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesGeneticsMachine Learning
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