卢旺达主要农业生态选择的玉米自交系杂种优势群、基因作用和杂种优势

A. Nyombayire, J. Derera, J. Sibiya, C. Ngaboyisonga
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引用次数: 2

摘要

玉米育种计划利用在粮食产量和其他农艺性状方面具有优越配合力的自交系来创造有竞争力的杂交种。因此,本研究的目的是确定本地自交系的杂种优势群体,它们与外来测试者的杂种优势关系,以及控制粮食产量的基因作用。以19个玉米自交系与4个测试体杂交,采用系x测试体配种方案,得到76个测试体。在2015B和2016A季节,对这些交叉进行了评估,并在四个地点进行了10 x 8 α-晶格设计的四次检查。加性和非加性基因作用对籽粒产量均有重要影响,且加性基因作用占优势。籽粒产量最理想的GCA效应是在自交系8上实现的,而最理想的SCA效应是在试验杂种18xT1上实现的。一般来说,大多数自交系与所有测试者都表现出正杂种优势。然而,有更多的人首先对准测试者T2,然后对准T3。自交系8与自交系3的组合杂种优势最大。无论采用何种杂种优势分组方法,自交系均被划分为不同的杂种优势群;根据标准杂种优势和SCA效应分别鉴定出2个和9个杂种优势群体;分别。所产生的信息将有助于优化卢旺达的玉米杂交育种计划,并有助于其他研究人员开发高产玉米品种。
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Heterotic Groups, Gene Action and Heterosis Among Maize Inbred Lines Selected for the Major Agro-ecologies of Rwanda
Maize breeding programmes exploit inbred lines with superior combining ability for grain yield and other agronomic traits to create competitive hybrids. Therefore, the objectives of this study were to determine heterotic groups of locally developed maize inbred lines, their heterotic relationships, with exotic testers as well as the gene action controlling grain yield. Nineteen maize inbred lines were crossed to four testers, based on a line x tester mating scheme resulting in 76 test crosses. These crosses were evaluated together with four checks in 10 x 8 α-lattice design across four locations in 2015B and 2016A seasons. Both additive and non-additive gene action were important for grain yield with preponderance of additive gene action. The most desirable GCA effects for grain yield were realized in inbred line 8 while the highest desirable SCA effects were displayed by the test cross 18xT1. Generally, most of the inbred lines exhibited positive heterosis with all testers. However, there was more aligning firstly towards tester T2 and then to T3. The highest heterosis was displayed by the combination of inbred line 8 with 3. Regardless of the heterotic grouping method applied, the inbred lines were discriminated into different heterotic groups; two and nine heterotic groups were identified based on standard heterosis and SCA effects; respectively. The information generated would be useful in optimizing the maize hybrid breeding programme in Rwanda and for other researchers for high yielding maize variety development.
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