“…However, SPAR systems can also be adopted to include more than just fundamental temperatures and CO 2 concentration effects (V. Gajanayake, Reddy, Shankle, Arancibia, & Villordon, 2014; Reddy, Reddy, & Acock, 1994a). They can be used for combinations including other variables such as (a) UV‐B radiation (Chen et al., 2020; K. Reddy et al., 2013; Surabhi, Reddy, & Singh, 2009); (b) drought stress (Gajanayake & Reddy, 2016; Lokhande & Reddy, 2014; Wijewardana, Reddy, & Bellaloui, 2019); (c) nutrient stress (K. Reddy, Koti, Davidonis, & Reddy, 2004; Singh, Barnaby, Reddy, & Sicher, 2016; Singh, Reddy, Fleisher, & Timlin, 2014); (d) root studies (V. Jumaa, Redoña, Walker, Gao, & Reddy, 2019; K. Reddy, Brand, Wijewardana, & Gao, 2017; Reddy, Reddy, Acock, & Trent, 1994b; Reddy, Reddy, & Wang, 1997; Singh et al., 2017; Wijewardana, Hock, Henry, & Reddy, 2015), (e) multi‐stress and interactions (V. Reddy, Reddy, & Acock, 1995; Wijewardana, Henry, Gao, & Reddy, 2016). Furthermore, SPAR systems have been used for (f) genetic variability studies (Awasthi, Reddy, Saha, Jenkins, & Stelly, 2018; Singh, Kakani, Surabhi, & Reddy, 2010); (g) integrated models (Doherty, Mearns, Reddy, Downton, & Daniel, 2003; Liang et al., 2012); (h) and different types of vegetation beyond just grain crops (and for support of development and predictions from integrated crop models such as bioenergy crops (Kakani et al., 2008a), cotton (K. Reddy et al., 2017), and root crops (Gajanayake et al., 2014).…”