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用于提高 Bambara 花生((L.).)种子产量和脂质组成的选择指数的开发。

Development of Selection Indices for Improvement of Seed Yield and Lipid Composition in Bambara Groundnut ( (L.) .).

作者信息

Azman Halimi Razlin, Raymond Carolyn A, Barkla Bronwyn J, Mayes Sean, King Graham J

机构信息

Southern Cross Plant Science, Southern Cross University, Lismore, NSW 2480, Australia.

School of Bioscience, University of Nottingham, Loughborough LE12 5RD, UK.

出版信息

Foods. 2021 Dec 29;11(1):86. doi: 10.3390/foods11010086.

Abstract

The underutilised grain legume bambara groundnut () has the potential to contribute significantly to nutritional security. However, the lack of commercial cultivars has hindered its wider adoption and utilisation as a food source. The development of competitive cultivars is impeded by (1) lack of systematic data describing variation in nutritional composition within the gene pool, and (2) a poor understanding of how concentrations of different nutritional components interact. In this study, we analysed seed lipid and protein concentration and lipid composition within a collection of 100 lines representing the global gene pool. Seed protein and lipid varied over twofold with a normal distribution, but no significant statistical correlation was detected between the two components. Seed lipid concentration (4.2-8.8 g/100 g) is primarily determined by the proportion of oleic acid (r = 0.45). Yield and composition data for a subset of 40 lines were then used to test selection parameters for high yielding, high lipid breeding lines. From five selection indices tested using 15 scenarios, an index based on the seed number, seed weight, and oleic acid yielded a >50% expected increase in each of the mean values of seed number, pod dry weight, seed dry weight, and seed size, as well as an expected 7% increase in seed lipid concentration.

摘要

未得到充分利用的豆科谷物—— bambara 花生()有潜力对营养安全做出重大贡献。然而,缺乏商业栽培品种阻碍了其作为食物来源的更广泛采用和利用。竞争性品种的开发受到以下因素阻碍:(1)缺乏描述基因库内营养成分变异的系统数据,以及(2)对不同营养成分浓度如何相互作用了解不足。在本研究中,我们分析了代表全球基因库的100个品系种子中的脂质和蛋白质浓度以及脂质组成。种子蛋白质和脂质含量呈正态分布,变化超过两倍,但未检测到这两种成分之间存在显著的统计相关性。种子脂质浓度(4.2 - 8.8克/100克)主要由油酸比例决定(r = 0.45)。然后,利用40个品系子集的产量和成分数据来测试高产、高脂质育种品系的选择参数。在使用15种情景测试的五个选择指数中,基于种子数量、种子重量和油酸的指数使种子数量、荚果干重、种子干重和种子大小的平均值各自预期增加超过50%,种子脂质浓度预期增加7%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e64/8750730/400a4f401e15/foods-11-00086-g001.jpg

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