From: Multiomics approaches to explore drought tolerance in cotton
Genotype Name | Criteria for Selection | Experimental Condition | Reference |
---|---|---|---|
IAC-13–1, Minas Sertaneja, IAC-RM4-SM5, Acala 1517E-1, and 4521 | Survival rate at the seedling stage | Drought stress in growth chambers | (Penna et al., 1998) |
MNH-552, SLS-1, MNH-806, 1021(Kivi), L.S.S, 841/52, MNH-6070, CIM-1100, MNH-636, MNH-812, FH-113, 4-F, MS-40, MNH-807, and FH-682 | Higher boll retention capacity | Drought stress in field condition | (Dahab et al., 2012) |
IUB-212, MNH-886, IR-3701, VH-144, NIAB-111, VH-295, AA-802, FH-113, NS-121, and FH-142 | Stable yield performance | Drought stress in field condition | (Ullah et al., 2019) |
Dexiamian 1 | Physiological Parameters (root, stem, and leaf water contents, net photosynthetic rate | Drought stress in controlled condition | (Zou et al., 2020) |
SPAN 837, 06K485, 06K486, FQMA | Morphological parameters | Drought stress in screen house | (Mvula et al., 2018) |
DAK-66/3, GC 555, Delta Diomand, MS-30/1, Nieves, Nazilli M-503, Zeta 2, NIAB 999, and Eva | Geometric mean productivity, drought susceptibility index | Drought stress in field condition | (Sezener et al., 2015) |
Delcerro, Zeta 2, DAK 66/3, and Nazilli 87 | Water use efficient | Drought stress in field condition | (Baytar et al., 2018) |