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基于表型的聚类分析及菜豆种子铁浓度和烹饪时间的常见基因型多样性。

Phenotype based clustering, and diversity of common bean genotypes in seed iron concentration and cooking time.

机构信息

Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.

Alliance of Bioversity and CIAT, National Agricultural Research Laboratories Kawanda, Kampala, Uganda.

出版信息

PLoS One. 2023 May 11;18(5):e0284976. doi: 10.1371/journal.pone.0284976. eCollection 2023.

DOI:10.1371/journal.pone.0284976
PMID:37167229
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10174564/
Abstract

Common bean is the world's most important directly consumed legume food crop that is popular for calories, protein and micronutrients. It is a staple food in sub-Saharan Africa, and a significant source of iron for anemic people. However, several pests, soil and weather challenges still impede its production. Long cooking time, and high phytic acid and polyphenols that influence bioavailable iron also limit the health benefits. To inform population improvement strategies and selection decisions for resilient fast cooking and iron biofortified beans, the study determined diversity and population structure within 427 breeding lines, varieties, or landraces mostly from Alliance Uganda and Columbia. The genotypes were evaluated for days to flowering and physiological maturity, yield, seed iron (FESEED) and zinc (ZNSEED) and cooking time (COOKT). Data for all traits showed significant (P≤0.001) differences among the genotypes. Repeatability was moderate to high for most traits. Performance ranged from 52 to 87 ppm (FESEED), 23-38 ppm (ZNSEED), 36-361 minutes (COOKT), and 397-1299 kg/ha (yield). Minimal differences existed between the gene pools in the mean performance except in yield, where Mesoamerican beans were better by 117 kg/ha. The genotypes exhibited high genetic diversity and thus have a high potential for use in plant breeding. Improvement of FESEED and ZNSEED, COOKT and yield performance within some markets such as red and small white beans is possible. Hybridization across market classes especially for yellow beans is essential but this could be avoided by adding other elite lines to the population. Superior yielding and fast cooking, yellow and large white beans were specifically lacking. Adding Fe dense elite lines to the population is also recommended. The population was clustered into three groups that could be considered for specific breeding targets based on trait correlations.

摘要

菜豆是世界上最重要的直接食用豆类粮食作物,因其热量、蛋白质和微量营养素而广受欢迎。它是撒哈拉以南非洲地区的主食,也是缺铁人群的重要铁源。然而,一些病虫害、土壤和天气问题仍然阻碍着它的生产。烹饪时间长,以及影响生物可利用铁的植酸和多酚含量高,也限制了它的健康益处。为了为人口改良策略提供信息,并为具有抗逆性、快速烹饪和富含铁的品种选择决策提供依据,本研究在 427 个育成品种、品种或地方品种中,确定了多样性和群体结构,这些品种主要来自乌干达联盟和哥伦比亚。对这些基因型进行了开花期和生理成熟期、产量、种子铁(FESEED)和锌(ZNSEED)以及烹饪时间(COOKT)的评估。所有性状的数据均表现出基因型之间存在显著差异(P≤0.001)。大多数性状的可重复性为中等至高度。表现在种子铁含量(FESEED)为 52-87ppm、锌含量(ZNSEED)为 23-38ppm、烹饪时间(COOKT)为 36-361 分钟和产量(yield)为 397-1299kg/ha。除产量外,各基因库的平均值表现出最小的差异,其中中美洲品种的产量高出 117kg/ha。这些基因型表现出很高的遗传多样性,因此在植物育种中具有很高的应用潜力。在某些市场(如红小豆和小白豆)中,提高 FESEED 和 ZNSEED、COOKT 和产量表现是有可能的。不同市场类别的杂交,特别是在黄小豆中,是必不可少的,但通过向群体中添加其他优良品系,可以避免这种情况。具体来说,缺乏高产和快速烹饪的黄色和大白豆。建议向群体中添加富含铁的优良品系。该群体被聚类为三个群体,根据性状相关性,可以考虑为特定的育种目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/86b429b8b588/pone.0284976.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/8650b872d184/pone.0284976.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/aae7642fb9dc/pone.0284976.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/81e51dd53ada/pone.0284976.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/b3f5d5904199/pone.0284976.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/c97161facbb3/pone.0284976.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/86b429b8b588/pone.0284976.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/8650b872d184/pone.0284976.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/aae7642fb9dc/pone.0284976.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/81e51dd53ada/pone.0284976.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/b3f5d5904199/pone.0284976.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/c97161facbb3/pone.0284976.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c63/10174564/86b429b8b588/pone.0284976.g006.jpg

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