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Executive summary
Global agroclimatic patterns
Crop and environmental conditions in major production zones
Main producing and exporting countries
- Belarus
- Country analysis
- Overview
- Argentina
- Australia
- Bangladesh
- Brazil
- Canada
- Germany
- Egypt
- Ethiopia
- France
- United Kingdom
- Indonesia
- India
- Iran
- Kazakhstan
- Cambodia
- Mexico
- Myanmar
- Nigeria
- Pakistan
- Philippines
- Poland
- Romania
- Russia
- Thailand
- Turkey
- Ukraine
- United States
- Uzbekistan
- Vietnam
- South Africa
- Afghanistan
- Mongolia
- Sri Lanka
- Zambia
- Mozambique
- Kenya
- Angola
- Hungary
- Italy
- Morocco
China
- Outlook of domestic price of four major crops
- Overview
- China’s crop production
- Northeast region
- Inner Mongolia
- Huanghuaihai
- Loess region
- Lower Yangtze region
- Southwest China
- Southern China
- Pest and diseases monitoring
- Major crops trade prospects
- pests and diseases for winter wheat in north Hemisphere
Focus and perspectives
Annex A. Agroclimatic indicators and BIOMSSAnnex
Authors: 超级管理员 | Edit: zhuliang
Table A.1. January-April 2018 agroclimatic indicators and biomass by global Monitoring and Reporting Unit. All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| C01 | Equatorial central Africa | 中非赤道地区 | 492 | -4 | 25.4 | -0.5 | 1097 | -4 | 1517 | 0 |
| C02 | East African highlands | 东非高原 | 254 | 16 | 19.7 | -1.3 | 1231 | -4 | 799 | 6 |
| C03 | Gulf of Guinea | 几内亚海湾 | 219 | 15 | 28.1 | -1.0 | 1093 | -11 | 716 | 12 |
| C04 | Horn of Africa | 非洲之角 | 442 | 26 | 23.8 | -1.5 | 1203 | -6 | 1165 | 13 |
| C05 | Madagascar (main) | 马达加斯加主岛 | 1113 | 11 | 24.4 | -0.8 | 1048 | -3 | 1978 | 2 |
| C06 | Southwest Madagascar | 马达加斯加岛西南地区 | 274 | -46 | 25.2 | -0.8 | 1267 | 5 | 987 | -26 |
| C07 | North Africa-Mediterranean | 北非地中海 | 139 | -11 | 11.7 | -0.4 | 874 | -9 | 497 | -8 |
| C08 | Sahel | 萨赫勒地区 | 26 | 1 | 29.3 | -0.8 | 1312 | -4 | 80 | -9 |
| C09 | Southern Africa | 南非 | 546 | 8 | 23.9 | -0.6 | 1159 | -1 | 1363 | 2 |
| C10 | Western Cape (South Africa) | 南非西开普地区 | 103 | -5 | 19.3 | -0.3 | 1238 | -4 | 410 | -6 |
| C11 | British Columbia to Colorado | 不列颠哥伦比亚至科罗拉多 | 245 | 15 | -3.0 | -0.1 | 723 | -7 | 467 | -2 |
| C12 | Northern Great Plains | 美国北部大平原 | 165 | -7 | -2.2 | -2.2 | 758 | -4 | 455 | -20 |
| C13 | Corn Belt | 美国玉米主产区 | 440 | 26 | -0.1 | -0.7 | 667 | -8 | 659 | -8 |
| C14 | Cotton Belt to Mexican Nordeste | 美国棉花主产区及墨西哥湾平原 | 365 | -3 | 11.6 | -0.7 | 848 | -5 | 969 | -7 |
| C15 | Sub-boreal America | 北美亚北方带 | 145 | 9 | -10.2 | -1.3 | 602 | 1 | 297 | -15 |
| C16 | West Coast (North America) | 美国西海岸 | 226 | -23 | 7.0 | 0.0 | 752 | -6 | 666 | -8 |
| C17 | Sierra Madre | 谢拉马德雷地区 | 75 | 6 | 16.3 | 0.2 | 1225 | -3 | 289 | 3 |
| C18 | SW U.S. and N. Mexican highlands | 墨西哥西南部及北部高原 | 74 | -11 | 10.0 | 0.8 | 1024 | -4 | 317 | -10 |
| C19 | Northern South and Central America | 中美和南美北部 | 279 | 12 | 25.9 | -0.7 | 1061 | -2 | 741 | 10 |
| C20 | Caribbean | 加勒比海地区 | 285 | 45 | 23.8 | -0.7 | 1057 | -3 | 824 | 30 |
| C21 | Central-northern Andes | 安第斯山脉中部和北部 | 636 | 1 | 16.2 | -0.5 | 1009 | -2 | 1301 | -4 |
| C22 | Nordeste (Brazil) | 巴西东北部 | 485 | 7 | 27.4 | -0.3 | 1134 | -6 | 1351 | 9 |
| C23 | Central eastern Brazil | 巴西中部和东部 | 769 | 0 | 25.6 | -0.8 | 1094 | -1 | 1830 | -1 |
| C24 | Amazon | 亚马逊流域 | 1155 | 3 | 26.8 | -0.8 | 940 | -2 | 2272 | 1 |
| C25 | Central-north Argentina | 阿根廷中北部 | 505 | 4 | 24.7 | -0.6 | 1092 | 1 | 1377 | -1 |
| C26 | Pampas | 潘帕斯草原 | 498 | -14 | 23.5 | 0.1 | 1147 | 0 | 1365 | -10 |
| C27 | Western Patagonia | 巴塔哥尼亚西部 | 127 | 2 | 13.3 | -0.8 | 1119 | -3 | 523 | 19 |
| C28 | Semi-arid Southern Cone | 南锥半干旱地区 | 128 | -19 | 18.7 | -0.1 | 1196 | 1 | 496 | -5 |
| C29 | Caucasus | 高加索地区 | 287 | 6 | 4.7 | 1.9 | 754 | -8 | 801 | 8 |
| C30 | Pamir area | 帕米尔地区 | 247 | 1 | 4.5 | 1.4 | 927 | -4 | 700 | 10 |
| C31 | Western Asia | 西亚 | 162 | 1 | 7.8 | 0.6 | 848 | -7 | 544 | -3 |
| C32 | Gansu-Xinjiang (China) | 中国甘新区 | 57 | 17 | -1.2 | 0.7 | 816 | -9 | 264 | 32 |
| C33 | Hainan (China) | 中国海南 | 221 | 57 | 20.8 | -1.0 | 857 | -5 | 713 | 47 |
| C34 | Huanghuaihai (China) | 中国黄淮海区 | 130 | 36 | 6.8 | 0.2 | 774 | -14 | 518 | 31 |
| C35 | Inner Mongolia (China) | 中国内蒙古及长城沿线区 | 66 | 35 | -4.0 | 0.4 | 818 | -6 | 293 | 27 |
| C36 | Loess region (China) | 中国黄土高原区 | 87 | 38 | 3.6 | 0.5 | 844 | -9 | 372 | 28 |
| C37 | Lower Yangtze (China) | 中国长江中下游区 | 356 | -18 | 11.2 | 0.2 | 707 | -9 | 1059 | -8 |
| C38 | Northeast China | 中国东北区 | 101 | 31 | -7.1 | -0.4 | 735 | -6 | 413 | 31 |
| C39 | Qinghai-Tibet (China) | 中国青藏区 | 114 | -34 | 2.6 | 0.4 | 1033 | -2 | 360 | -13 |
| C40 | Southern China | 中国华南区 | 199 | -17 | 16.1 | -0.2 | 788 | -7 | 697 | -4 |
| C41 | Southwest China | 中国西南区 | 163 | 2 | 10.3 | 0.1 | 724 | -6 | 615 | 8 |
| C42 | Taiwan (China) | 中国台湾 | 233 | 13 | 16.9 | -0.4 | 849 | -4 | 932 | 29 |
| C43 | East Asia | 东亚 | 142 | -18 | -1.9 | 0.2 | 742 | -7 | 495 | 2 |
| C44 | Southern Himalayas | 喜马拉雅山南部 | 117 | -30 | 19.6 | 0.1 | 983 | -9 | 429 | -14 |
| C45 | Southern Asia | 南亚 | 121 | 19 | 26.5 | -0.1 | 1170 | -5 | 379 | 15 |
| C46 | Southern Japan and the southern fringe of the Korea peninsula | 日本南部及朝鲜半岛的南部边缘 | 349 | -7 | 7.1 | 0.3 | 777 | -5 | 1054 | 2 |
| C47 | Southern Mongolia | 蒙古南部 | 117 | 276 | -7.5 | 0.6 | 805 | -5 | 423 | 177 |
| C48 | Punjab to Gujarat | 旁遮普至古吉拉特地区 | 43 | -20 | 24.0 | 0.7 | 1120 | -5 | 189 | -14 |
| C49 | Maritime Southeast Asia | 南洋群岛 | 1105 | 1 | 25.5 | -0.5 | 966 | -3 | 2146 | 0 |
| C50 | Mainland Southeast Asia | 东南亚大陆 | 163 | 2 | 25.9 | -0.9 | 1074 | -7 | 585 | 7 |
| C51 | Eastern Siberia | 西伯利亚东部 | 103 | -16 | -11.5 | -0.4 | 587 | -4 | 302 | 2 |
| C52 | Eastern Central Asia | 中亚东部 | 42 | -10 | -13.2 | 0.7 | 672 | -4 | 203 | -1 |
| C53 | Northern Australia | 澳大利亚北部 | 887 | 6 | 26.5 | -0.6 | 1076 | -2 | 1683 | -1 |
| C54 | Queensland to Victoria | 昆士兰至维多利亚 | 173 | -25 | 22.1 | 0.6 | 1231 | 1 | 609 | -18 |
| C55 | Nullarbor to Darling | 纳拉伯至达令河 | 88 | -15 | 20.7 | -0.8 | 1235 | -5 | 384 | -12 |
| C56 | New Zealand | 新西兰 | 245 | -5 | 15.8 | 0.7 | 928 | -9 | 973 | 11 |
| C57 | Boreal Eurasia | 欧亚大陆北部 | 192 | 0 | -6.5 | -1.5 | 421 | -1 | 403 | -10 |
| C58 | Ukraine to Ural mountains | 乌克兰至乌拉尔山脉 | 187 | 12 | -2.9 | -0.8 | 505 | 1 | 570 | -5 |
| C59 | Mediterranean Europe and Turkey | 欧洲沿地中海地区及土耳其 | 230 | -9 | 8.4 | 0.7 | 741 | -7 | 838 | 2 |
| C60 | W. Europe (non Mediterranean) | 西欧（除地中海地区） | 232 | 2 | 4.7 | -0.2 | 546 | -5 | 837 | 2 |
| C61 | Boreal America | 北美北部地区 | 301 | 31 | -6.8 | 2.1 | 439 | -10 | 371 | 18 |
| C62 | Ural to Altai mountains | 乌拉尔山脉至阿尔泰山脉 | 116 | 8 | -9.4 | -1.2 | 559 | -7 | 365 | -8 |
| C63 | Australian desert | 澳大利亚沙漠 | 105 | 2 | 22.8 | -0.1 | 1290 | -1 | 487 | 11 |
| C64 | Sahara to Afghan deserts | 撒哈拉至阿富汗沙漠 | 90 | 12 | 18.4 | 0.2 | 1110 | -5 | 319 | 13 |
| C65 | Sub-arctic America | 美洲亚北极区 | 85 | 74 | -17.7 | 5.6 | 194 | -3 | 72 | 127 |
Table A.2. January-April 2018 agroclimatic indicators and biomass by country. All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| AFG | Afghanistan | 阿富汗 | 203 | 0 | 6.7 | 0.8 | 979 | -5 | 640 | 1 |
| AGO | Angola | 安哥拉 | 610 | 5 | 24.6 | 0.6 | 1141 | -2 | 1649 | 3 |
| ARG | Argentina | 阿根廷 | 411 | -18 | 22.9 | 0.1 | 1156 | 1 | 1198 | -11 |
| AUS | Australia | 澳大利亚 | 248 | -7 | 22.4 | 0.3 | 1221 | 0 | 629 | -13 |
| BGD | Bangladesh | 孟加拉国 | 257 | 20 | 23.0 | -1.0 | 972 | -12 | 810 | 32 |
| BLR | Belarus | 白俄罗斯 | 171 | 1 | -0.2 | -0.1 | 488 | 2 | 705 | 4 |
| BRA | Brazil | 巴西 | 870 | 1 | 25.7 | -0.7 | 1054 | -2 | 1902 | 0 |
| CAN | Canada | 加拿大 | 248 | 25 | -7.7 | -0.8 | 608 | -3 | 354 | -9 |
| CHN | China | 中国 | 195 | -8 | 7.3 | 0.1 | 760 | -8 | 561 | 7 |
| DEU | Germany | 德国 | 219 | 6 | 4.3 | 0.1 | 524 | 1 | 897 | 6 |
| EGY | Egypt | 埃及 | 45 | -20 | 17.3 | 1.0 | 1006 | -6 | 214 | 20 |
| ETH | Ethiopia | 埃塞俄比亚 | 188 | 1 | 20.3 | -1.3 | 1243 | -2 | 678 | 1 |
| FRA | France | 法国 | 200 | -13 | 6.6 | -0.7 | 552 | -11 | 822 | -1 |
| GBR | UK | 英国 | 371 | 32 | 4.6 | -1.7 | 404 | -12 | 965 | -1 |
| HUN | Hungary | 匈牙利 | 189 | 19 | 5.4 | 0.6 | 575 | -5 | 770 | 16 |
| IDN | Indonesia | 印尼 | 1147 | -2 | 25.6 | -0.6 | 957 | -2 | 2252 | -1 |
| IND | India | 印度 | 86 | -15 | 24.5 | 0.2 | 1129 | -6 | 295 | -4 |
| IRN | Iran | 伊朗 | 184 | -8 | 8.9 | 1.4 | 910 | -9 | 592 | -8 |
| ITA | Italy | 意大利 | 186 | -19 | 8.3 | 0.4 | 657 | -8 | 728 | -7 |
| KAZ | Kazakhstan | 哈萨克斯坦 | 128 | 16 | -7.4 | -1.2 | 615 | -8 | 433 | 0 |
| KEN | Kenya | 肯尼亚 | 522 | 70 | 22.3 | -1.4 | 1224 | -7 | 1245 | 33 |
| KHM | Cambodia | 柬埔寨 | 173 | 4 | 27.5 | -1.4 | 1099 | -7 | 647 | 6 |
| LKA | Sri_Lanka | 斯里兰卡 | 528 | 1 | 26.6 | -0.6 | 1138 | -2 | 1270 | -3 |
| MAR | Morocco | 摩洛哥 | 164 | -2 | 10.9 | -0.9 | 899 | -11 | 563 | 3 |
| MEX | Mexico | 墨西哥 | 115 | 31 | 19.9 | 0.0 | 1145 | -4 | 339 | 9 |
| MMR | Myanmar | 缅甸 | 85 | -9 | 24.0 | -0.3 | 1079 | -9 | 356 | 0 |
| MNG | Mongolia | 蒙古 | 53 | 31 | -11.9 | 1.5 | 744 | -3 | 249 | 27 |
| MOZ | Mozambique | 莫桑比克 | 687 | 1 | 26.2 | -0.9 | 1113 | -2 | 1536 | -2 |
| NGA | Nigeria | 尼日利亚 | 184 | 25 | 28.5 | -1.0 | 1148 | -11 | 482 | 21 |
| PAK | Pakistan | 巴基斯坦 | 143 | -16 | 16.9 | 0.9 | 1023 | -4 | 384 | -10 |
| PHL | Philippines | 菲律宾 | 768 | 38 | 25.5 | -0.5 | 1045 | -2 | 1394 | 18 |
| POL | Poland | 波兰 | 143 | -19 | 2.4 | 0.1 | 512 | 3 | 683 | -11 |
| ROU | Romania | 罗马尼亚 | 229 | 9 | 3.9 | 0.9 | 617 | -3 | 853 | 14 |
| RUS | Russia | 俄罗斯 | 155 | 9 | -6.7 | -0.9 | 531 | -2 | 412 | -9 |
| THA | Thailand | 泰国 | 203 | 2 | 26.1 | -1.1 | 1063 | -8 | 695 | 9 |
| TUR | Turkey | 土耳其 | 302 | 0 | 7.0 | 2.8 | 804 | -4 | 928 | 10 |
| UKR | Ukraine | 乌克兰 | 208 | 15 | 1.5 | 0.0 | 568 | 2 | 778 | 8 |
| USA | USA | 美国 | 315 | 5 | 4.6 | -0.8 | 781 | -6 | 660 | -9 |
| UZB | Uzbekistan | 乌兹别克斯坦 | 180 | -11 | 6.6 | 0.7 | 755 | -8 | 613 | -5 |
| VNM | Viet_Nam | 越南 | 134 | -21 | 21.9 | -0.7 | 865 | -10 | 518 | -12 |
| ZAF | South_Africa | 南非 | 326 | 1 | 20.4 | -0.4 | 1195 | -1 | 1055 | 0 |
| ZMB | Zambia | 赞比亚 | 591 | -6 | 23.6 | -0.7 | 1158 | 1 | 1627 | -2 |
Table A.3. Argentina, January-April 2018 agroclimatic indicators and biomass (by province). All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| ARG_BAR | Buenos Aires | 布宜诺斯艾利斯 | 382 | -12 | 21.0 | 0.4 | 1199 | 2 | 1222 | -5 |
| ARG_CAC | Chaco | 查科 | 527 | -11 | 25.6 | -0.3 | 1120 | -3 | 1432 | -7 |
| ARG_CDB | Cordoba | 科尔多瓦 | 275 | -41 | 22.4 | 0.2 | 1181 | 2 | 1009 | -28 |
| ARG_CRT | Corrientes | 科连特斯 | 607 | -8 | 25.3 | -0.1 | 1169 | 0 | 1510 | -6 |
| ARG_ERS | Entre Rios | 恩特雷里奥斯省 | 362 | -41 | 24.1 | 0.6 | 1219 | 4 | 1199 | -21 |
| ARG_LPP | La Pampa | 拉潘帕省 | 231 | -41 | 22.0 | 0.6 | 1208 | 0 | 944 | -21 |
| ARG_MSS | Misiones | 米西奥内斯省 | 542 | -25 | 24.5 | -0.4 | 1094 | -3 | 1469 | -16 |
| ARG_SDE | Santiago Del Estero | 圣地亚哥 | 391 | -17 | 25.2 | 0.0 | 1105 | 1 | 1228 | -11 |
| ARG_SLS | San Luis | 圣路易斯省 | 245 | -41 | 21.4 | 0.0 | 1195 | 2 | 1002 | -25 |
| ARG_SLT | Salta | 萨尔塔 | 617 | 13 | 23.3 | -0.7 | 1014 | 0 | 1529 | 7 |
| ARG_STF | Santa Fe | 圣菲 | 441 | -24 | 24.4 | 0.5 | 1192 | 2 | 1220 | -20 |
| ARG_TCM | Tucuman | 土库曼 | 342 | -32 | 22.7 | -0.5 | 1054 | 4 | 1206 | -15 |
Table A.4. Australia, January-April 2018 agroclimatic indicators and biomass (by state).All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| AUS_NSW | New South Wales | 新南威尔士州 | 153 | -33 | 23.0 | 0.9 | 1272 | 3 | 593 | -21 |
| AUS_SOU | South Australia | 南澳大利亚洲 | 100 | -8 | 20.8 | 0.7 | 1237 | -1 | 494 | 6 |
| AUS_VCT | Victoria | 维多利亚州 | 98 | -44 | 19.5 | 0.6 | 1180 | -2 | 472 | -28 |
| AUS_WES | W. Australia | 西澳大利亚洲 | 166 | 19 | 21.3 | -0.8 | 1234 | -5 | 442 | -7 |
Table A.5. Brazil, January-April 2018 agroclimatic indicators and biomass (by state). All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| BRA_CEA | Ceara | 塞阿腊 | 679 | 6 | 27.6 | -0.3 | 1055 | -8 | 1713 | 6 |
| BRA_GOS | Goias | 果尔斯州 | 755 | -10 | 24.9 | -1.0 | 1147 | 1 | 2004 | -1 |
| BRA_MGD | Mato Grosso Do Sul | 南马托格罗索 | 723 | 2 | 26.5 | -0.8 | 1112 | -2 | 1807 | -3 |
| BRA_MGO | Mato Grosso | 马托格罗索 | 1100 | 5 | 26.5 | -0.7 | 1042 | 0 | 2351 | 3 |
| BRA_MGS | Minas Gerais | 米纳斯吉拉斯 | 616 | -4 | 24.3 | -0.5 | 1140 | -1 | 1618 | 1 |
| BRA_PAA | Parana | 巴拉那 | 696 | 3 | 23.6 | -0.5 | 1066 | -1 | 1705 | -6 |
| BRA_RGD | Rio Grande Do Sul | 南里约格兰德 | 578 | -7 | 23.7 | 0.0 | 1123 | 0 | 1556 | -6 |
| BRA_SCA | Santa Catarina | 圣卡塔林纳 | 570 | -19 | 21.8 | -0.4 | 1002 | -5 | 1496 | -19 |
| BRA_SPL | Sao Paulo | 圣保罗 | 595 | -22 | 24.7 | -0.4 | 1128 | 3 | 1630 | -14 |
Table A.6. Canada, January-April 2018 agroclimatic indicators and biomass (by province). All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| CAN_ABT | Alberta | 亚伯达省 | 113 | 0 | -8.5 | -2.3 | 605 | 0 | 351 | -16 |
| CAN_MTB | Manitoba | 曼尼托巴省 | 84 | -23 | -10.0 | -1.0 | 667 | 0 | 299 | -17 |
| CAN_SKC | Saskatchewan | 萨斯喀彻温省 | 94 | -9 | -10.1 | -1.8 | 650 | 0 | 312 | -18 |
Table A.7. India, January-April 2018 agroclimatic indicators and biomass (by state). All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| IND_ADP | Andhra Pradesh | 安德拉邦 | 66 | 21 | 27.7 | -0.6 | 1215 | -3 | 267 | 22 |
| IND_ASM | Assam | 阿萨姆 | 237 | -39 | 22.6 | 0.5 | 856 | -10 | 878 | -12 |
| IND_BIH | Bihar | 比哈尔 | 52 | -25 | 22.4 | -1.5 | 1064 | -9 | 243 | -21 |
| IND_CTG | Chhattisgarh | 查蒂斯加尔 | 73 | -2 | 25.7 | 0.1 | 1163 | -4 | 348 | 10 |
| IND_DAD | Daman and Diu | 达曼-第乌 | 16 | 189 | 25.9 | -0.3 | 1245 | -4 | 76 | 177 |
| IND_DLH | Delhi | 德里 | 24 | -73 | 22.2 | 0.4 | 1058 | -6 | 131 | -66 |
| IND_GJR | Gujarat | 古吉拉特 | 18 | 149 | 26.9 | 0.8 | 1224 | -4 | 92 | 144 |
| IND_GOA | Goa | 果阿 | 36 | 37 | 25.7 | 0.0 | 1244 | -6 | 133 | 20 |
| IND_HCP | Himachal Pradesh | 喜马偕尔邦 | 162 | -39 | 7.6 | 3.1 | 1052 | -3 | 533 | -14 |
| IND_HYN | Haryana | 哈里亚纳 | 73 | -34 | 21.0 | 0.3 | 1043 | -6 | 324 | -24 |
| IND_JKH | Jharkhand | 坎德尔 | 88 | 19 | 23.4 | -0.6 | 1109 | -7 | 345 | 5 |
| IND_KRL | Kerala | 喀拉拉 | 247 | 1 | 26.4 | -0.6 | 1196 | -5 | 744 | 1 |
| IND_KRT | Karnataka | 卡纳塔克 | 109 | 39 | 26.1 | -0.7 | 1233 | -5 | 356 | 24 |
| IND_MHL | Meghalaya | 梅加拉亚 | 317 | -35 | 19.2 | 0.4 | 896 | -13 | 973 | 0 |
| IND_MHT | Maharashtra | 马哈拉斯特拉 | 32 | -10 | 27.5 | 0.8 | 1192 | -6 | 156 | -4 |
| IND_MIP | Manipur | 曼尼普尔 | 127 | -54 | 17.7 | 0.5 | 937 | -13 | 559 | -25 |
| IND_MYP | Madhya Pradesh | 中央邦 | 36 | -32 | 25.3 | 0.8 | 1158 | -5 | 172 | -23 |
| IND_MZR | Mizoram | 米佐拉姆 | 158 | -36 | 19.4 | -0.3 | 982 | -13 | 625 | -9 |
| IND_NGL | Nagaland | 那加兰 | 169 | -47 | 17.0 | 0.9 | 886 | -11 | 734 | -22 |
| IND_ORS | Orissa | 奥里萨 | 141 | 66 | 26.0 | -0.1 | 1155 | -4 | 498 | 41 |
| IND_PDC | Puducherry | 本地治里 | 48 | 12 | 27.6 | -0.5 | 1255 | 0 | 240 | 45 |
| IND_PJB | Punjab | 旁遮普 | 78 | -49 | 19.6 | 0.7 | 993 | -6 | 346 | -39 |
| IND_RJT | Rajasthan | 拉贾斯坦 | 20 | -34 | 24.4 | 0.7 | 1128 | -6 | 95 | -32 |
| IND_SKM | Sikkim | 锡金 | 153 | -29 | 5.9 | 0.4 | 993 | -10 | 454 | -13 |
| IND_TND | Tamil Nadu | 泰米尔纳德 | 107 | -2 | 27.7 | -0.6 | 1249 | -2 | 398 | 4 |
| IND_TPR | Tripura | 特里普拉 | 278 | -11 | 22.4 | -0.6 | 931 | -13 | 912 | 18 |
| IND_UTK | Uttarakhand | 乌塔拉坎德 | 118 | -43 | 12.3 | 2.3 | 1077 | -3 | 439 | -24 |
| IND_UTP | Uttar Pradesh | 北方邦 | 46 | -43 | 22.7 | -0.1 | 1080 | -7 | 222 | -35 |
| IND_WBG | West Bengal | 西孟加拉 | 171 | 37 | 24.3 | -0.4 | 1029 | -10 | 593 | 26 |
Table A.8. Kazakhstan, January-April 2018 agroclimatic indicators and biomass (by province) .All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| KAZ_ALS | Akmolinskaya | 阿克莫拉州 | 108 | 24 | -10.5 | -1.9 | 575 | -8 | 354 | -9 |
| KAZ_KGS | Karagandinskaya | 卡拉干达州 | 133 | 43 | -9.3 | -1.4 | 623 | -10 | 394 | -3 |
| KAZ_KTS | Kustanayskaya | 库斯塔奈州 | 95 | -6 | -9.8 | -2.0 | 583 | -3 | 366 | -15 |
| KAZ_PLS | Pavlodarskaya | 巴甫洛达尔州 | 96 | 43 | -10.0 | -1.7 | 566 | -10 | 385 | 13 |
| KAZ_SKS | Severo kazachstanskaya | 北哈萨克斯坦州 | 86 | -5 | -10.4 | -1.7 | 532 | -7 | 338 | -13 |
| KAZ_VKS | Vostochno kazachstanskaya | 东哈萨克斯坦州 | 164 | 37 | -9.3 | 0.0 | 625 | -14 | 401 | 11 |
| KAZ_ZKS | Zapadno kazachstanskaya | 西哈萨克斯坦州 | 140 | 14 | -5.9 | -2.1 | 603 | -1 | 473 | -13 |
Table A.9. Russia, January-April 2018 agroclimatic indicators and biomass (by oblast).All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| RUS_BKR | Bashkortostan Rep. | 巴什科尔托斯坦共和国 | 149 | -4 | -8.4 | -1.5 | 535 | 2 | 356 | -18 |
| RUS_CBO | Chelyabinskaya Oblast | 车里雅宾斯克州 | 97 | -11 | -9.5 | -2.1 | 528 | -2 | 340 | -18 |
| RUS_GRD | Gorodovikovsk | 戈罗多维科夫斯克 | 271 | 0 | 2.9 | 0.0 | 571 | -6 | 837 | -1 |
| RUS_KDK | Krasnodarskiy Kray | 克拉斯诺达尔边疆区 | 147 | -24 | -3.6 | -0.2 | 552 | -6 | 489 | -8 |
| RUS_KGO | Kurganskaya Oblast | 库尔干州 | 94 | 0 | -9.3 | -1.4 | 511 | -4 | 341 | -17 |
| RUS_KRO | Kirovskaya Oblast | 基洛夫州 | 183 | 9 | -7.5 | -1.4 | 458 | 7 | 367 | -18 |
| RUS_KSO | Kurskaya Oblast | 库尔斯克州 | 196 | 17 | -2.2 | -1.1 | 548 | 3 | 612 | -8 |
| RUS_LSO | Lipetskaya Oblast | 利佩茨克州 | 189 | 12 | -3.5 | -1.2 | 538 | 2 | 553 | -10 |
| RUS_MDR | Mordoviya Rep. | 莫尔多瓦共和国 | 180 | 11 | -5.7 | -1.6 | 510 | 3 | 457 | -15 |
| RUS_NBO | Novosibirskaya Oblast | 新西伯利亚州 | 115 | 17 | -11.0 | -1.1 | 504 | -8 | 324 | -11 |
| RUS_NZO | Nizhegorodskaya O. | 下诺夫哥罗德州 | 172 | 7 | -5.5 | -1.3 | 475 | 4 | 456 | -13 |
| RUS_OBO | Orenburgskaya Oblast | 奥伦堡州 | 138 | -3 | -8.0 | -1.8 | 588 | 1 | 395 | -17 |
| RUS_OKO | Omskaya Oblast | 鄂木斯克州 | 97 | 1 | -11.0 | -1.4 | 501 | -6 | 313 | -16 |
| RUS_PMO | Permskaya Oblast | 彼尔姆州 | 155 | -2 | -8.5 | -1.0 | 446 | 1 | 339 | -17 |
| RUS_PZO | Penzenskaya Oblast | 奔萨州 | 211 | 27 | -5.9 | -1.9 | 531 | 1 | 445 | -18 |
| RUS_RSO | Rostovskaya Oblast | 罗斯托夫州 | 217 | 4 | 0.7 | -0.5 | 559 | -5 | 725 | 0 |
| RUS_RYO | Ryazanskaya Oblast | 梁赞州 | 182 | 8 | -4.2 | -1.0 | 501 | 4 | 519 | -10 |
| RUS_SLK | Stavropolskiy Kray | 斯塔夫罗波尔 | 208 | 4 | 3.8 | 0.7 | 577 | -9 | 819 | 7 |
| RUS_SLO | Sverdlovskaya Oblast | 斯维尔德洛夫斯克州 | 107 | -6 | -8.8 | -1.2 | 455 | -3 | 337 | -18 |
| RUS_SSO | Samarskaya Oblast | 萨马拉州 | 167 | 14 | -7.3 | -2.1 | 553 | 1 | 403 | -21 |
| RUS_STO | Saratovskaya Oblast | 萨拉托夫州 | 184 | 22 | -5.8 | -2.4 | 579 | 1 | 461 | -20 |
| RUS_TBO | Tambovskaya Oblast | 坦波夫州 | 228 | 34 | -4.3 | -1.3 | 541 | 2 | 513 | -13 |
| RUS_TSO | Tyumenskaya Oblast | 秋明州 | 103 | 6 | -10.0 | -1.1 | 494 | -3 | 320 | -18 |
| RUS_TSR | Tatarstan Rep. | 鞑靼斯坦共和国 | 184 | 26 | -7.3 | -1.7 | 506 | 0 | 387 | -20 |
| RUS_USO | Ulyanovskaya Oblast | 乌里扬诺夫斯克州 | 180 | 25 | -7.1 | -2.2 | 535 | 2 | 406 | -21 |
| RUS_UTR | Udmurtiya Rep. | 乌德穆尔特共和国 | 174 | 12 | -7.6 | -1.1 | 460 | 2 | 365 | -17 |
| RUS_VLO | Volgogradskaya O. | 伏尔加格勒州 | 215 | 30 | -2.8 | -1.8 | 570 | -3 | 586 | -11 |
| RUS_VRO | Voronezhskaya Oblast | 沃罗涅日州 | 243 | 45 | -2.6 | -1.1 | 540 | -1 | 591 | -9 |
Table A.10. United States, January-April 2018 agroclimatic indicators and biomass(by state). All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| USA_AKS | Arkansas | 阿肯色州 | 595 | 21 | 9.0 | -1.3 | 776 | -7 | 1337 | 0 |
| USA_CLF | California | 加利福尼亚州 | 191 | -19 | 8.1 | 0.0 | 877 | -5 | 589 | -6 |
| USA_IDH | Idaho | 爱达荷州 | 242 | 26 | -0.5 | 0.7 | 716 | -10 | 622 | 13 |
| USA_IDN | Indiana | 印第安纳州 | 423 | 8 | 2.6 | -1.3 | 684 | -10 | 857 | -10 |
| USA_ILN | Illinois | 伊利诺斯州 | 328 | -6 | 2.1 | -1.7 | 706 | -9 | 830 | -11 |
| USA_IOW | Iowa | 爱荷华州 | 217 | -17 | -1.5 | -2.2 | 742 | -5 | 621 | -18 |
| USA_KSS | Kansas | 堪萨斯州 | 86 | -58 | 4.0 | -1.5 | 842 | -4 | 357 | -49 |
| USA_MCG | Michigan | 密歇根州 | 382 | 28 | -2.2 | -0.9 | 668 | -4 | 549 | -11 |
| USA_MNS | Minnesota | 明尼苏达州 | 303 | 67 | -6.0 | -2.1 | 726 | 0 | 425 | -20 |
| USA_MSR | Missouri | 密苏里州 | 351 | -10 | 4.3 | -1.7 | 726 | -9 | 917 | -13 |
| USA_MTN | Montana | 蒙大拿州 | 236 | 79 | -4.9 | -3.3 | 725 | -4 | 474 | -4 |
| USA_NBS | Nebraska | 内布拉斯加州 | 122 | -27 | -0.2 | -2.3 | 806 | -5 | 541 | -17 |
| USA_NDK | North Dakota | 北达科他州 | 222 | 82 | -7.1 | -2.3 | 730 | -2 | 399 | -9 |
| USA_OHO | Ohio | 俄亥俄州 | 484 | 32 | 2.3 | -0.9 | 668 | -10 | 834 | -8 |
| USA_OKH | Oklahoma | 俄克拉何马州 | 245 | -15 | 7.8 | -1.7 | 865 | -3 | 677 | -23 |
| USA_ORG | Oregon | 俄勒冈州 | 211 | -22 | 4.0 | 0.2 | 641 | -9 | 758 | 5 |
| USA_SDK | South Dakota | 那达科他州 | 189 | 25 | -3.6 | -2.9 | 760 | -5 | 513 | -12 |
| USA_TES | Texas | 德克萨斯州 | 208 | -14 | 13.2 | -0.8 | 918 | -3 | 599 | -17 |
| USA_WHT | Washington | 华盛顿州 | 260 | -1 | 3.0 | 0.0 | 582 | -9 | 744 | 9 |
| USA_WSC | Wisconsin | 威斯康辛州 | 349 | 30 | -3.9 | -1.7 | 732 | 3 | 491 | -20 |
Table A.11. China, January-April 2018 agroclimatic indicators and biomass (by province). All values are averages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period.
| code | name | cname | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) |
| CHN_AHS | Anhui | 安徽省 | 282 | -15 | 9.4 | 0.0 | 731 | -13 | 986 | 0 |
| CHN_CQS | Chongqing | 重庆市 | 210 | 10 | 9.7 | 0.2 | 608 | -7 | 784 | 12 |
| CHN_FJS | Fujian | 福建省 | 363 | -23 | 12.9 | 0.3 | 786 | -1 | 978 | -18 |
| CHN_GSS | Gansu | 甘肃省 | 75 | 35 | 2.2 | 0.4 | 893 | -6 | 300 | 29 |
| CHN_GDS | Guangdong | 广东省 | 319 | -13 | 16.3 | 0.1 | 759 | -2 | 1007 | 3 |
| CHN_GXZ | Guangxi | 广西壮族自治区 | 266 | -11 | 15.6 | 0.1 | 626 | -10 | 879 | 3 |
| CHN_GZS | Guizhou | 贵州省 | 230 | 20 | 10.9 | 0.5 | 612 | -9 | 833 | 24 |
| CHN_HEB | Hebei | 河北省 | 64 | 26 | 2.0 | 0.2 | 805 | -10 | 277 | 12 |
| CHN_HLJ | Heilongjiang | 黑龙江省 | 103 | 47 | -9.2 | -0.5 | 711 | -6 | 409 | 36 |
| CHN_HEN | Henan | 河南省 | 144 | 12 | 8.2 | 0.1 | 759 | -14 | 614 | 18 |
| CHN_HUB | Hubei | 湖北省 | 264 | -4 | 9.2 | 0.1 | 690 | -12 | 875 | 0 |
| CHN_HUN | Hunan | 湖南省 | 328 | -23 | 11.0 | 0.3 | 639 | -9 | 1046 | -13 |
| CHN_JSS | Jiangsu | 江苏省 | 201 | 2 | 8.4 | 0.2 | 764 | -12 | 787 | 5 |
| CHN_JXS | Jiangxi | 江西省 | 446 | -19 | 12.1 | 0.3 | 709 | -7 | 1231 | -9 |
| CHN_JLS | Jilin | 吉林省 | 117 | 42 | -5.7 | -0.3 | 763 | -6 | 478 | 43 |
| CHN_LNS | Liaoning | 辽宁省 | 87 | -6 | -1.6 | -0.4 | 783 | -8 | 399 | 5 |
| CHN_NMG | Inner Mongolia | 内蒙古自治区 | 73 | 53 | -6.6 | 0.2 | 786 | -5 | 313 | 44 |
| CHN_NXZ | Ningxia | 宁夏回族自治区 | 45 | 43 | 2.3 | 1.0 | 888 | -8 | 219 | 41 |
| CHN_SHX | Shaanxi | 陕西省 | 97 | 20 | 5.3 | 0.5 | 799 | -7 | 428 | 23 |
| CHN_SDS | Shandong | 山东省 | 115 | 35 | 6.4 | 0.3 | 779 | -14 | 494 | 29 |
| CHN_SXI | Shanxi | 山西省 | 76 | 25 | 2.1 | 0.9 | 831 | -10 | 327 | 11 |
| CHN_SCS | Sichuan | 四川省 | 106 | -2 | 9.3 | 0.2 | 800 | -2 | 444 | 0 |
| CHN_YNS | Yunnan | 云南省 | 91 | -24 | 12.8 | -0.6 | 939 | -8 | 396 | -12 |
| CHN_ZJS | Zhejiang | 浙江省 | 369 | -17 | 10.2 | 0.4 | 726 | -9 | 1123 | -6 |