Abstract
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."
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