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非洲水稻的非生物胁迫图谱:干旱、寒冷、铁毒、盐度和碱度。

Mapping abiotic stresses for rice in Africa: Drought, cold, iron toxicity, salinity and sodicity.

作者信息

van Oort P A J

机构信息

Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouaké, Cote d'Ivoire.

Crop & Weed Ecology Group, Centre for Crop Systems Analysis, Wageningen University, P.O. Box 430, 6700 AK, Wageningen, The Netherlands.

出版信息

Field Crops Res. 2018 Apr 15;219:55-75. doi: 10.1016/j.fcr.2018.01.016.

DOI:10.1016/j.fcr.2018.01.016
PMID:29666552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5848050/
Abstract

Maps of abiotic stresses for rice can be useful for (1) prioritizing research and (2) identifying stress hotspots, for directing technologies and varieties to those areas where they are most needed. Large-scale maps of stresses are not available for Africa. This paper considers four abiotic stresses relevant for rice in Africa (drought, cold, iron toxicity and salinity/sodicity). Maps showing hotspots of the stresses, the countries most affected and total potentially affected area are presented. In terms of relative importance, the study identified drought as the most important stress (33% of rice area potentially affected), followed by iron toxicity (12%) and then cold (7%) and salinity/sodicity (2%). Hotspots for iron toxicity, cold and salinity are identified. For drought, local variation along the hydromorphic zone was a stronger determinant than larger-scale climatic variation, therefore mapping of drought based on climatic zones has only limited value. Uncertainties in the mappings are discussed.

摘要

水稻非生物胁迫地图可用于

(1)确定研究重点;(2)识别胁迫热点地区,以便将技术和品种导向最需要的地区。非洲尚无大规模的胁迫地图。本文考虑了与非洲水稻相关的四种非生物胁迫(干旱、低温、铁毒和盐碱化/碱化)。文中展示了显示胁迫热点、受影响最严重的国家以及潜在受影响总面积的地图。就相对重要性而言,该研究确定干旱是最重要的胁迫(33%的水稻种植面积可能受影响),其次是铁毒(12%),然后是低温(7%)和盐碱化/碱化(2%)。文中还确定了铁毒、低温和盐碱化的热点地区。对于干旱,沿水成土带的局部变化比大尺度气候变化更具决定性,因此基于气候区绘制干旱地图的价值有限。文中讨论了这些地图中的不确定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/9b2f6e4ba265/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/f7f2c0f00231/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/569d7c1587f5/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/351345bc1555/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/99b2bffb7eb2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/0d8d76d7d69c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/4f3663666cd8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/eafa3197764e/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/2c96b8704834/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/3fdbb59e9f8a/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/da4c0dc5eaf3/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/65ede6d5b6e6/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/2f4f5998eaf4/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/411de94ed6be/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/9b2f6e4ba265/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/f7f2c0f00231/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/569d7c1587f5/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/351345bc1555/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/99b2bffb7eb2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/0d8d76d7d69c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/4f3663666cd8/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/eafa3197764e/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/2c96b8704834/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/3fdbb59e9f8a/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/da4c0dc5eaf3/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/65ede6d5b6e6/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/2f4f5998eaf4/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/411de94ed6be/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5282/5848050/9b2f6e4ba265/gr14.jpg

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