TABLE 1.

Studies that have identified alleles associated with abiotic stress in CWR.

Species	Stress	Gene	Sampling design	Breeding strategy	References
Glycine soja	Drought/heat	Glyma.08g298200	Random sampling	Marker assisted backcrossing	Anderson et al., 2016
Glycine max	Drought/heat	Glyma.15g127700	Random sampling	Marker assisted backcrossing	Bandillo et al., 2017
Glycine max	Annual precipitation	Glyma.15G196500	Random sampling	Marker assisted backcrossing	Li et al., 2019
Picea glauca and Picea engelmannii	Temperature/aridity	69_753	Random sampling	N/A	De La Torre et al., 2014
Quercus lobata	Temperature/osmotic stress	Contig code name 42 and 57	Transect	N/A	Sork et al., 2016
Pinus taeda	Aridity, temperature	EST contig 0–12 076n	Random sampling	N/A	Eckert et al., 2010
Triticum urartu	Temperature, precipitation, altitude	No specific gene	Random sampling	Marker assisted backcrossing	Brunazzi et al., 2018
Medicago truncatula	Temperature, salinity, drought, precipitation	Medtr3g029620	Random sampling	N/A	Guerrero et al., 2018
Zea mays ssp. Parviglumis and Zea. mays ssp. mexicana	Temperature, precipitation	Genomic region	Transect	N/A	Pyhäjärvi et al., 2013
Zea mays ssp. Parviglumis and Zea. mays ssp. mexicana	Niche suitability	GRMZM2G164358	Transect	N/A	Aguirre-Liguori et al., 2017
Hordeum vulgare	Temperature	HvPRR59	Random sampling	Marker assisted backcrossing, genomic selection	Russell et al., 2016
Sorghum bicolor	Climate zones	Genomic region	Random sampling	Marker assisted backcrossing	Morris et al., 2013
Arabadopsis thaliana	Temperature	AT1G18140	Paired sampling	While this is not a crop, the genes have become targets of selection in other crops (e.g., pennycress)	Fournier-Level et al., 2011
Medicago truncatula	Temperature, precipitation	7g074620.1	Random sampling	N/A	Yoder et al., 2014
Phaseolus vulgaris	Drought	Phvul.004G102800	Random sampling	Marker assisted backcrossing	Ariani and Gepts, 2019
Phaseolus vulgaris	Temperature, precipitation	PvPdh1	Random sampling	Marker assisted selection	Parker et al., 2019
Oryza sativa	Temperature	Genomic region	Cluster sampling	N/A	Qiu et al., 2017
Oryza glaberrima	Salt, temperature	OsHAK5	Random sampling	Marker assisted selection	Meyer et al., 2016
Platycladus orientalis	Ecological niche	Genomic regions	Cluster sampling	N/A	Jia et al., 2019
Triticum aestivum	Temperature	Genomic regions	Random sampling	Marker assisted selection/genomic selection	He et al., 2019
Eucalyptus microcarpa	Land use change	Genomic regions	Cluster sampling	N/A	Jordan et al., 2016
Mangifera spp.	Difference from cultivated	Genomic regions	Random SAMPLING	N/A	Wang et al., 2020
Solanum pimpinellifolium	Salt stress	Genomic regions and candidate genes	Transect sampling	Marker assisted selection	Gibson and Moyle, 2020
Cajanus cajan	Heat shock and disease resistance	Candidate genes	Random sampling	N/A	Rathinam et al., 2019
Triticum spp.	Agronomic Genes	Genomic regions and candidate genes	Random sampling	Marker assisted selection	He et al., 2019
Vitis vinifera	Difference from cultivated	Genomic regions	Random sampling	N/A	Migicovsky et al., 2016
Populus balsamifera	Climate niche	Genomic regions and structural variants	Transect sampling	N/A	Chhatre et al., 2019
Beta and Patellifolia spp.	Abiotic stress	Genomic regions	Random sampling	N/A	Monteiro et al., 2018
Oryza rufipogon	Abiotic stress	Genomic regions	Random sampling	Marker assisted selection	Li et al., 2020
Cicer reticulatum Ladiz	Cold tolerance	Genomic regions	Targeted sampling	Marker assisted selection	Mugabe et al., 2019