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首页> 外文期刊>Australian Journal of Botany >Seed storage behaviour of 101 woody species from the tropical rainforest of southern China: a test of the seed-coat ratio-seed mass (SCR-SM) model for determination of desiccation sensitivity
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Seed storage behaviour of 101 woody species from the tropical rainforest of southern China: a test of the seed-coat ratio-seed mass (SCR-SM) model for determination of desiccation sensitivity

机译:中国南方热带雨林中101种木本植物种子的贮藏行为:基于种皮比率-种子质量(SCR-SM)模型的干燥敏感性测定

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摘要

The Xishuangbanna tropical rainforest in Yunnan Province is the greatest biodiversity hotspot in China. However, the biodiversity of this region is under threat, making seed conservation through seed and/or germplasm banking particularly urgent and crucial. Seed desiccation sensitivity limits the possibility of seed banking of 47% of tropical rainforest species. Thus, knowing if a species has desiccation-sensitive seeds is an important first step in seed banking; however, often resources are limited, making it difficult to determine storage behaviour for all the species in a region. Prediction of seed sensitivity using the SCR-SM model based on seed-coat ratio (SCR) and seed dry mass (SM) might be an alternative for determining desiccation sensitivity of seeds of each species. Here, seed-desiccation sensitivity of 101 woody species from the Xishuangbanna tropical forest were analysed using this model, and physiological determinations were made for a total of 25 species. Seed storage behaviour for 59 species was used for model validation, and storage behaviour of 88% of these species was successfully predicted. Seed storage behaviour of 83% of the 59 species was successfully predicted using the 1000-seed weigth-moisture content (TSW-MC) criteria, which include seeds with 1000-seed weight >500 g and seed moisture content at shedding of 30-70%. The two predictive methods were subsequently used to predict seed desiccation sensitivity for another 42 species from Xishuangbanna whose storage behaviour was uncertain. Our results indicated that similar to 50% of the species in Xishuangbanna are likely to have desiccation-sensitive seeds.
机译:云南省西双版纳热带雨林是中国最大的生物多样性热点。但是,该地区的生物多样性受到威胁,因此通过种子和/或种质库保存种子尤为紧急和至关重要。种子干燥敏感性限制了47%的热带雨林物种种子储备的可能性。因此,了解物种是否具有对干燥敏感的种子是种子库中重要的第一步;但是,资源通常是有限的,因此很难确定一个区域中所有物种的存储行为。使用基于种皮比(SCR)和种子干质量(SM)的SCR-SM模型预测种子敏感性可能是确定每种物种种子脱水敏感性的替代方法。在此,使用该模型分析了来自西双版纳热带森林的101种木本植物的种子干燥敏感性,并对总共25种进行了生理测定。 59种物种的种子贮藏行为用于模型验证,并且成功地预测了88%这些物种的贮藏行为。使用1000粒重水分含量(TSW-MC)标准成功预测了59个物种中83%的种子贮藏行为,其中包括1000粒重> 500 g的种子和30-70脱落时的种子含水量%。随后使用这两种预测方法来预测西双版纳另外42种物种的种子干燥敏感性,这些物种的储存行为尚不确定。我们的结果表明,在西双版纳,大约有50%的物种可能具有对干旱敏感的种子。

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