Liên hợp quốc: Triều Tiên cần thêm khoảng 1,36 triệu tấn ngũ cốc

21:35 03/05/2019

(Baothanhhoa.vn) - Báo cáo chung của Chương trình Lương thực thế giới (WFP) và Tổ chức Nông Lương (FAO) của Liên hợp quốc công bố ngày 3/5 cho biết, Triều Tiên cần thêm khoảng 1,36 triệu tấn ngũ cốc để giải quyết tình trạng thiếu lương thực ở quốc gia này trong năm nay.

4bqj4buV4bql4bq1xKlxZeG7ueG7uTHhurPhu7NA4buXQXFs4bqzw6NR4buXw7Jz4bq14buVeOG7s+G6teG7tcOBxrDEqTfhurVA4bu34buX4buPw4HhurVA4buXw7Jz4bq1xKlpc+G6tUHhu5XDsnLhurVw4buVdOG6vXPhu5nhurXhuqU54bqtYuG6tUHhu7fhu5fDtcOB4bq1QWhz4bq1c+G7mcSC4bq1xKnGsMSp4bqjL+G7leG6pcOj4bqj4buz4bq1xKlxZeG7ueG7uTHhurPhu7Phu5RsZWrhurPDo+G7iMOpdOG6tcSpw6l04bq1xKnhu5XDgXPhu5nhurXEqcODZeG6tcSo4buV4bqu4buvc+G7meG6tUHhu7fhu5tz4buV4bq1UeG6ruG7r3Phu5nhurVB4buV4bqyxKnhurVB4buV4buN4bq14buZ4buXduG7l+G6tcOgKeG7kuG7suG6oeG6teG6pOG6ueG6tUDhu7HhurXEqeG7leG6sMSp4bq1U8Wpc+G7meG6tVHhuq7hu69z4buZ4bq1w6Dhu5JFVOG6oeG6tcSpw4Nl4bq1UeG7l8Oyc+G6teG7lXjhu7PhurXhu7XDgcawxKnhurXEqcWpc+G7meG6teG7icaw4bq1c+G7meG6ueG6qOG6teG6rS/huqvhurXEqeG7lXThurXhu4nhu5fhu41BOeG6tUDhu7fhu5fhu4/DgeG6tUDhu5fDsnPhurXEqWlz4bq1QeG7lcOycuG6tXDhu5V04bq9c+G7meG6teG6pTnhuq1i4bq1QeG7t+G7l8O1w4HhurVBaHPhurVz4buZxILhurXEqcawxKnhurVrw7ThurXhu5nhu5fhur3hu5fhurXhu7XDgeG6qOG7jUHhurVB4bubc+G7leG6tUHhu7fhurtz4buZ4bq1QeG7leG7l+G7jcOB4bq1ceG6ruG7r3Phu5nhurVB4buV4bqyxKnhurV54bq14bu1w4HGsMSp4bq14buZ4buXZeG6tXPhurnhuqjhurVB4bu3dHPhu5nhurVz4bq/cuG6tXNl4bqoYeG6oy/hu7PDo+G6o+G7s+G6tcSpcWXhu7nhu7kx4bqz4buzxKhl4buzQeG7l3Rz4bqzw6PhuqPhu5dy4buZ4bq1xKlxZeG7ueG7uTHhurPEqXLhu7kt4buz4buVdEF04bqz4bq14bu5QeG6qHFsMeG6s2rhu5fhu7nhu7NxZeG6qDfhurXhu4lxdMSpcDjhurVyZeG7t+G7meG7l3MtcWzhu5NBN+G6tWXDgUF0OOG6tXJl4bu34buZ4buXcy3hu7fhu5fhu5nhu5VBN+G6tWXDgUF0OOG6s+G6tUHhu5dBcWwx4bqzUeG7l8Oyc+G6teG7lXjhu7PhurXhu7XDgcawxKk34bq1QOG7t+G7l+G7j8OB4bq1QOG7l8Oyc+G6tcSpaXPhurVB4buVw7Jy4bq1cOG7lXThur1z4buZ4bq14bqlOeG6rWLhurVB4bu34buXw7XDgeG6tUFoc+G6tXPhu5nEguG6tcSpxrDEqeG6teG7leG7m3Phu5XhurXhur1z4buV4bq14bql4bqz4bq14bu54bu3xKkx4bqzLy/EqWHhu4lldEHhu5Vlc+G7leG7lXRlYeG6pHMv4buXcuG7mS9qbOG7uXBBdOG7sy9zbOG6puG7uS/huqXEkeG6pWMv4bqlY2Rq4bqr4bqn4bql4bqt4bqr4bqnw6JB4bqr4bqp4bqtY3HhuqVh4bqmbOG7ieG7s+G6s+G6tWVxQTHhurNR4buXw7Jz4bq14buVeOG7s+G6teG7tcOBxrDEqTfhurVA4bu34buX4buPw4HhurVA4buXw7Jz4bq1xKlpc+G6tUHhu5XDsnLhurVw4buVdOG6vXPhu5nhurXhuqU54bqtYuG6tUHhu7fhu5fDtcOB4bq1QWhz4bq1c+G7mcSC4bq1xKnGsMSp4bqz4bq1amVBZS3hu7Phu5V0QXQtdOG7t+G7l+G7meG7l3NlcS3hu7nhu7fEqTHhurPhu5VBQeG7s+G7uTcvL8SpanPhu5dy4buZYeG6pOG7l2xBc2Vy4buzccOB4bu5YeG6pHMvQWLhuqfDoi/DgeG7s3F0ZWpsai9yQeG7s+G6qGxxZeG7mUHhu7Phuqgv4bqnw6LhuqXEkV/DouG6q1/DouG6rS/huqXhuqfhuqXhuqtkY+G6p2Hhu6Hhu7Phu5nhurPhurUvw6Phurxz4buV4bq1cuG7l3Phu5XhurXhu5XDuWVh4bq1w6BT4buZw4Hhu6lzN+G6tUBF4bu44bu44bqh4bqjL+G7s8Oj4bqj4buz4bq1xKlxZeG7ueG7uTHhurPhu7Phu4h0auG6qOG6s8OjQOG7lWx04bq14buJw6l04bq1xKnDqXThurVB4bu3w7JzOeG6tUDhu7fhu5fhu4/DgeG6tUDhu5fDsnPhurXhuq52xKnhurVBxqFz4buV4bq14bu54bq9c+G6teG6rMOBaEHhurXhuqk5xJHhurVB4bu34buXw7XDgeG6tUFoc+G6tXPhu5nEguG6tcSpxrDEqeG6tUHhu7d0c+G7meG6tXPhur9y4bq1c+G7mXTDqeG7lznhurVy4bqwxKnhurVB4buVaOG7s+G6tXPhu5VoQeG6tXDDtOG6tUHhurbhurVz4bq/cuG6teG6p8Oiw6JkOeG6teG6pOG6ueG6teG7s+G7leG6veG7l+G6tXPhu5XDreG7s+G6tXDhu5XDrMOB4bq1cOG7lXThur1z4buZ4bq14bqlOeG6q8SR4bq1QeG7t+G7l8O1w4HhurVBaHPhurVz4buZxILhurXEqcawxKnhurVB4bu3dHPhu5nhurVz4bq/cuG6tXNl4bqo4bq1a8O04bq1a+G6vXLhurXhu4nhur104bq1c+G7lcOB4bq1xKlpw4HhurXEqcODZeG6tXPhu5nhuq534buX4bq1amdzYeG6oy/hu7PDo+G6o+G7s+G6tcSpcWXhu7nhu7kx4bqz4buz4buIdGrhuqjhurPDo0DDgeG6qOG6tXPhu5Xhu5fDsnM54bq14buV4buXw7Vz4bq1xKnhu5Xhu6PhurXEqXXhurXhuqfDosOiYcOiw6LDouG6tUFoc+G6tXPhu5XDreG7s+G6tXDhu5XDrMOB4bq1QeG7lWx04bq1c+G7meG6u8Sp4buV4bq1QeG7leG6ruG7r3Phu5nhurVy4bq74buX4bq14bqk4bq54bq14bqn4bqlYeG6p8Oiw6LhurVBaHPhurVr4bqueMSp4bq14buV4but4bq1QeG7t3jhurVB4buVbHThurVw4buN4bq14buVdOG6u8Sp4buVYeG6tUp04bq14bqkw63huqg54bq1cuG6sMSp4bq1ceG6ruG7r3Phu5nhurVB4buV4bqyxKnhurVB4buV4buX4buNw4HhurXhu5XhuqJB4bq1QeG7t3Rz4buZ4bq1xKnhur3hurVz4bq/cuG6tXNl4bqo4bq1cuG6ueG6tUDhu7fhu5fhu4/DgeG6tUDhu5fDsnPhurXEqWlz4bq1a+G6rnjEqeG6teG7leG7reG6tUHhu7d44bq1ceG6ueG6tXDhu5V04bq9c+G7meG6teG6pTnhuq1i4bq1QeG7t+G7l8O1w4HhurVBaHNh4bqjL+G7s8Oj4bqj4buz4bq1xKlxZeG7ueG7uTHhurPhu7Phu4h0auG6qOG6s8Oj4buIw6l04bq1xKnDqXThurXEqeG7lXThurXhu4nhu5fhu41B4bq14bqlw6I54bql4bq1QeG7t+G7l8O1w4HhurVz4buZ4bqud+G7l+G6tWpnc+G6tUDhu7fhu5fhu4/DgeG6tUDhu5fDsnPhurU54bq1xKnhu5Xhu5fhu41y4bq14bqpw6Iz4bq1QeG7sXPhu5nhurVqZ3PhurXhu7nGsOG6tXPhuq52xKnhurVz4bq54bqoOeG6tWtlc+G7meG6tcSpaXPhurVr4bqueMSp4bq14buV4but4bq1QeG7t3jhurVx4bqu4buvc+G7meG6tUHhu5XhurLEqWHhuqMv4buzw6PhuqPhu7PhurXEqXFl4bu54bu5MeG6s+G7s+G7iHRq4bqo4bqzw6NA4bu3dHPhu5nhurVw4buV4buX4bq1a3U54bq1QeG7t+G7l8O0c+G6teG6pMO5c+G7meG6teG7ueG6vXPhurXhuqzDgWhB4bq1ceG6ruG7r3Phu5nhurVB4buV4bqyxKnhurXhuqThuqLhurVy4bqgZeG6tWtpw4HhurVz4bq/cuG6teG6p8Oi4bqlxJHhurXEqcODZeG6tUDhu7fhu5fhu4/DgeG6tUDhu5fDsnM54bq1auG6suG6tXDhu5fhu41z4bq1QeG7lcOB4bq14buVdOG6u8Sp4buV4bq14bqk4bq5dOG6tUHhu5XDqXPhu5nhurVi4bq1QXbhu5c54bq1ceG6ueG6tXDhu5XFqXPhu5nhurVw4buV4bq94bq14bu1w4Flc+G6tWp04bq1QeG7m3Phu5XhurXhu5Xhu5tz4buV4bq1QeG7lXfhu5fhurVB4buX4buNQeG6tXDhu5Xhu4HEqeG6tXPhu5nhu5Xhu5fDtUHhurVz4buV4bqu4bq1ceG6rnhz4buZ4bq1cuG6rmXhurVB4buVaOG7s2FhYeG6oy/hu7PDo+G6o+G7s+G6tcSpcWXhu7nhu7kx4bqz4buz4buIdGrhuqjhurPDo0Dhu7fhuq52xKnhurVrdTnhurXhu5Xhu6nhu5fhurVB4buVw6lz4buZ4bq14bqnOeG6tWvhu4PEqeG6teG7s+G7lcOp4buX4bq14bqk4buXw7Jz4bq14buV4bq5c+G7meG6tWtpw4HhurXEqcODZeG6tUDhu7fhu5fhu4/DgeG6tUDhu5fDsnPhurVB4bq74buX4bq1UeG7l8Oyc+G6teG7lXjhu7PhurXhu7XDgcawxKk54bq1UOG7l3LhurXhu7h0c+G7meG6tWvDquG6tWvhu4/hurVz4buZ4buV4bud4bq14bqk4buXw7Vz4bq1QeG7t3jhurVx4bqu4buvc+G7meG6tUHhu5XhurLEqeG6tXDhu5XDrHPhurXEqWjhu7PhurVw4buV4buX4bq1xKnhu5V04bq14buJ4buX4buNQeG6tUDhu7fhu5fhu4/DgeG6tUDhu5fDsnPhurXhu7nDs+G6tUHhu5Xhu5fhu43DgeG6tXDhu5V04bq9c+G7meG6teG6pTnhuqvhurVB4bu34buXw7XDgeG6tUFoc+G6tXHhuq7hu69z4buZ4bq1QeG7leG6ssSp4bq1QeG7t3Rz4buZ4bq1c+G6v3LhurVzZeG6qGHhuqMv4buzw6PhuqPhu7PhurXEqXFl4bu54bu5MeG6s+G7s+G7iHRq4bqo4bqzw6Phu7hlw4HhurVr4buP4bq1c+G7meG7leG7neG6tUHhu7fDsnPhurXEqcODZeG6tUDhu7fhu5fhu4/DgeG6tUDhu5fDsnM54bq1xKnDqcSp4bq1xKnhu6/hurXhu7XDgWVz4bq1xKnDg2XhurVR4buXw7Jz4bq14buVeOG7s+G6teG7tcOBxrDEqeG6tWvDquG6tcSp4bq04bq14bu1w4Flc+G6tcSp4buV4bqwxKnhurVBduG7l+G6tXPhuq52xKnhurVz4bq54bqo4bq1QeG6tuG6tXPhu5nhurnhuqjhurXhuqfEkS/huq3hurVr4buNc+G6teG6peG6py/huqnhurXhuqThurZl4bq14bu1w4Fl4bq1a8O04bq1a8Opc+G7leG6teG7meG7l8Op4bq1cOG7lcOsc+G6tcSpaOG7s+G6teG6pOG7j+G6tUHhu5tz4buV4bq14buV4bubc+G7leG6tUHhu5Xhu5fhu43DgeG6tXHhuq7hu69z4buZ4bq1QeG7leG6ssSp4bq1eeG6teG7tcOBxrDEqeG6teG7meG7l2XhurVLxalz4buZ4bq14buI4buBxKnhurXDieG6tXPhurnhuqhh4bqjL+G7s8Oj4bqj4buz4bq1xKlxZeG7ueG7uTHhurPhu7Phu7h0w4Hhu7fEqWzhurPDo1Hhu7LhurXDoEDhu5VsdOG6teG7iOG7iMSo4bqh4bqjL+G7s8Oj