韩国水稻遗传多样性研究产量种质及产量相关性状在尼日利亚水稻种植系统中的应用

Exonam Amegan, A. Efisue, M. Akoroda, A. Shittu, Fiot Tonegnikes
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引用次数: 19

摘要

背景与目的遗传多样性评估是任何作物改良计划的先决条件。它可以帮助植物育种者识别有希望进行杂交的品系。材料与方法:本研究在尼日利亚伊巴丹国际热带农业研究所(IITA)的非洲中心开展,对来自韩国的123份来自非洲的7个基因型进行了评估。试验在旱季进行,采用Alpha格子设计,在五个入口种植26块,重复两次。结果:主成分分析显示,前4个分量占总变异量的73.59%。因此,建议存在较大的遗传变异,这是重要的,因为它给育种者提供了广泛的选择范围。在所有基因型中,UPN296、UPN248和UPN272的有效分蘖数较高,而UPN255、UPN332和upn285的千粒重较优。在颖花数方面,UPN277和UPN261基因型表现较好,在籽粒产量方面,UPN347、UPN266和UPIA2基因型表现较好。聚类分析将130个基因型分为4个聚类。17个ssr标记均具有多态性。共获得70个等位基因,平均为4.12个,范围为2 ~ 6个。17个SSR标记的PIC值为0.34 ~ 0.76,平均为0.53。基于简单匹配相似指数的UPGMA树形图将130个基因型分为3类。结论。UPN347、UPN277、UPN296、UPN255和UPIA2是尼日利亚最有希望用于水稻杂交、遗传改良和水稻杂交项目的基因型。
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Genetic Diversity of Korean Rice (Oryza Sativa L.) Germplasm for Yield and Yield Related Traits for Adoption in Rice Farming System in Nigeria
Background and objectives Assessment of genetic diversity is a prerequisite for any crop improvement program. It helps plant breeders in identifying promising lines for possible crosses. Materials and methods: This study was carried out at AfricaRice Center, International Institute of Tropical Agriculture (IITA) Ibadan, Nigeria, and evaluated 123 accessions from South Korea with 7 genotypes form Africa. The experiment was conducted in dry season using Alpha lattice design with 26 blocks each planted in five entries, replicated two times. Results: PCA showed that the first four components accounted for 73.59% of the total variation. Thus, suggest the presence of large genetic variability, which is of important, as it gives wide spectrum of selection to the breeders. Among all genotypes UPN296, UPN248 and UPN272 showed higher number of productive tillers, while UPN255, UPN332, and UPN 285 were superior for 1000-grain weight. The genotypes such as UPN277 and UPN261 proved to be better for number of spikelets, while UPN347, UPN266, and UPIA2 were better for grain yield. Cluster analysis grouped the 130 genotypes into 4 clusters. All the 17 SSRs markers used were polymorphic. A total of 70 alleles were obtained with an average of 4.12, and ranged from 2 to 6. PIC values ranged from 0.34 to 0.76 with an average of 0.53 with 17 SSR markers. UPGMA dendrogram based on similarity index of simple matching grouped 130 genotypes into three clusters. Conclusion. UPN347, UPN277, UPN296, UPN255 and UPIA2 shown to be the most promising genotypes that could be used for rice hybridization, genetic improvement and rice hybrid programme in Nigeria.
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