“… Liu et al, 2021 ) , 361 in Solanum tuberosum ( Jupe et al, 2012 ) , 78 in Solanum pimpinellifolium ( Wei et al, 2020 ) , 14 in Lagenaria siceraria, 146 in Triticum urartu ( Qian et al, 2021 ) , 166 in Discorea rotundata, 103 in Glycine max ( Afzal et al, 2022 ), 467 in Hordeum vulgare ( Liu et al, 2017 ), 54 in Broussonetia papyrifera (X. Zhang et al, 2023 ), 95 in Elaeis guineensis ( Rosli et al, 2018 ) , 10 in Citrus sinensis ( Yin et al, 2023 ), 47 in Alphonso , 27 in Hong Xiang Ya , and 36 in Tommy atkins ( ul Qamar et al, 2023 ). Machine learning approaches have also been applied in studies reported previously for the elucidation of candidate genes implicated in multi-stress responsiveness in Oryza sativa and Sorghum bicolor ( Woldesemayat et al, 2018 ; Ramkumar et al, 2022 ).…”