加强立陶宛粮食和农业作物野生近缘植物的就地保护

Agronomy Pub Date : 2024-09-18 DOI:10.3390/agronomy14092126
Juozas Labokas, Mantas Lisajevičius, Domas Uogintas, Birutė Karpavičienė
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摘要

立陶宛农作物和农作物野生近缘植物(CWR)名录包含 2630 个分类群。该名录包括 1384 个本地分类群(包括古生植物)和 1246 个新生分类群。共有 699 个分类群(26.6%)被定义为食物和饲料。144 种 CWR 优先物种清单中包括 135 种本地物种和古生植物以及 9 种归化物种。优先保护的化武资源共包括 15 科 53 属的食物和饲料物种。本研究采用了两种方法来选择化武资源基因保护区:(1)对预选地点进行化武资源目标评估,包括自然保护区 2000(Natura 2000)地点、国家保护区和其他有效的区域性保护措施(OECMs),如古山堡地点和水体生态保护区;(2)分析大型地理参照植物数据库。通过第一种方法,已选出 45 个潜在基因保护区,涵盖 83 个物种,占国家 CWR 优先列表的 57.6%。通过第二种方法,结合立陶宛欧盟生境图数据库(BIGIS)、自然研究中心标本馆数据库(BILAS)、立陶宛植被数据库(EU-LT-001)和全球生物多样性信息基金(GBIF)的数据,建立了原地化武资源国家清单数据库。对化武资源物种丰富度和观测数量进行的热点分析表明,保护区的化武资源多样性较高。然而,香农多样性指数和香农均等指数表明,保护区以外的地区也适合建立 CWR 基因保护区。
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Enhancing In Situ Conservation of Crop Wild Relatives for Food and Agriculture in Lithuania
The crop and crop wild relative (CWR) checklist of Lithuania was created containing 2630 taxa. The checklist comprises 1384 native taxa including archaeophytes and 1246 neophytes. In total, 699 taxa (26.6%) are defined for food and forage use. A list of 144 CWR priority species with 135 native species and archaeophytes and 9 naturalized species was generated. In total, 53 genera of food and forage species belonging to 15 families are represented by the priority CWR. Two approaches for CWR genetic reserve selection have been employed in this study: (1) CWR-targeted evaluation of preselected sites, including Natura 2000 sites, national protected areas, and other effective area-based conservation measures (OECMs), such as ancient hillfort sites and ecological protection zones of water bodies; (2) analysis of large georeferenced plant databases. Forty-five potential genetic reserve sites have been selected by the first approach covering 83 species or 57.6% of the national CWR priority list. With the second approach, the in situ CWR National Inventory database has been created by combining data from the Database of EU habitat mapping in Lithuania (BIGIS), Herbarium Database of the Nature Research Centre (BILAS), Lithuanian Vegetation Database (EU-LT-001), and Global Biodiversity Information Facility (GBIF). Hotspot analysis of CWR species richness and number of observations suggested that higher CWR diversity is more likely to be found in protected areas. However, Shannon diversity and Shannon equitability indices showed that the areas outside of the protected areas are also suitable for CWR genetic reserve establishment.
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