Table 1 Descriptive statistics of the wheat association mapping initiative (WAMI) panel grown in several international environments
CountryLocationAbbreviationGY (Tons/Ha)GN (Number)GWTTF
BangladeshJoydebpurBGLD J102.2 ± 0.37314 ± 124930.9 ± 4.11260 ± 54
BGLD J113.4 ± 0.511,326 ± 180731.1 ± 4.11261 ± 64
IndiaDelhiIndia D103.8 ± 0.611,520 ± 201833.6 ± 2.31343 ± 22
DharwadIndia H103.1 ± 0.411,415 ± 191427.6 ± 3.11336 ± 13
IndoreIndia I115.7 ± 0.917,542 ± 312532.7 ± 3.71304 ± 46
KarnalIndia K104.2 ± 0.711,729 ± 218536.5 ± 4.11223 ± 46
LudhianaIndia L114.3 ± 0.711,386 ± 150238.3 ± 2.81422 ± 64
VaranasiIndia V103.2 ± 0.614,189 ± 307923.2 ± 2.31242 ± 25
MexicoDroughtaMex D103.7 ± 0.49902 ± 120437.7 ± 4.51175 ± 45
HeataMex H104.0 ± 0.413,341 ± 184930.5 ± 3.5976 ± 41
Heat droughtaMex HD103.4 ± 0.411,831 ± 193129.2 ± 4.2959 ± 32
IrrigatedaMex I107.0 ± 0.315,032 ± 120143.4 ± 4.51339 ± 33
NepalBhairahawaNepal B102.7 ± 0.58654 ± 195831.9 ± 4.41435 ± 45
Nepal B112.5 ± 0.57770 ± 161832.9 ± 4.31377 ± 49
PakistanIslamabadPak I103.2 ± 0.910,836 ± 315829.8 ± 3.11204 ± 74
Pak I116.9 ± 2.021,920 ± 641731.8 ± 3.01105 ± 38
IranDarabIran D105.3 ± 0.916,299 ± 269033.0 ± 3.31343 ± 22
SudanWad MedaniSudan W102.9 ± 0.48534 ± 166434.7 ± 3.91474 ± 99
  • a Campo Experimental Norman E. Borlaug (CENEB), Mexico, different environments.