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QTL Analysis for Plant Height with Molecular Markers in Maize

Agricultural Sciences in China 2003年第10期2卷 1069-1075页

作者： YANJian-bing TANGHua HUANGYi-qin SHIYong-gang ZHENGYong-lian LIJian-sheng NationalKeyLabofCropGeneticImprovement HuazhongAgriculturalUniversityWuhan430070P.R.China XiangfanChia-TaiAgriculturalDevelopmentCo. Ltd.Xiangfan441104P.R.China NationalMaizeImprovementCenterofChina ChinaAgriculturalUniversityBeijing100094P.R.China

Plant height has become one of important agronomic traits with the increase of planting density recently and the rapid developments of molecular markers have provided powerful tools to localize important agronomic QTL at the genomic level. The purposes of this investigation are to map plant height QTL with molecular markers and to analyze their genetic effects in maize. An F 2∶3 population from an elite combination (Zong3×87-1) was utilized for evaluating plant height in two locations, Wuhan and Xiangfan, with a randomized complete block design. The mapping population included 266 F 2∶3 family lines. A genetic linkage map, containing 150 SSR and 24 RFLP markers, was constructed, spanning a total of 2 531.6 cm with an average interval of 14.5 cm. Totally 10 QTL affecting plant height were mapped on six different chromosomes with the composite interval mapping. Seven of 10 QTL were detected in two locations. The contributions to phenotypic variations for the single QTL varied between 5.3 and 17.1%. Additive, partial dominance, dominance, and overdominance actions existed among all detected QTL affecting plant heights. A large number of digenic interactions for plant height were detected by two-way analyses of variance. 107 and 98 two-locus combinations were found to be significant at a 0.01 probability level in two locations respectively. 23 of them were simultaneously detected in both locations. They accounted for phenotypic variations of 4.511%. It was noticed that a locus, umc1122, had digenic interactive effects with other four different loci for plant height, which distributed on three chromosomes. A few of plant height QTL was involved in significant digenic interactions, but most significant interactions occurred between markers that are not adjacent to mapped QTL. These results demonstrated that epistatic interactions might play an equal importance role as the single-locus effects in determining plant height of maize.

关键词： digenic interaction Plant height Maize Molecular marker

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Marker Based Genetic Analysis For Yield Components And Their Relationships With Developmental Stages In A European x Chinese Rapeseed DH population

Marker Based Genetic Analysis For Yield Components And Their...

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中国遗传学会植物遗传与基因组学专业委员会2005年学术研讨会

作者： BECKER Heiko ECKE Wolfgang Institute of Agronomy and Plant Breeding Georg-August-UniversityVon Siebold Strasse 837075 GoettingenGermany

In this study, we mapped QTLs with additive and additive x additive epistasis as well as their interactions by environments underlying three quantitative traits of yield components using a population of 282 doubled haploid lines derived from a cross between European and Chinese rapeseed cultivars. Furthermore, we did conditional mapping analysis by combining the statistical procedures of analyzing conditional genetic effects with QTL mapping method to analyze the genetic relationship between yield components and plant developmental stages on individual QTL level. Measurements for the traits were obtained from 4 environments, 2 in Europe and 2 in China. A linkage map was constructed using 125 microsatellites marker loci. Mapping results revealed in total 7, 6 and 9 QTLs with additive main effects and/or additive by environment interaction effects for these three traits and collectively explained about 40, 35 and 70% of the mean phenotypic variation observed in the DH population, respectively. digenic epistasis was small for thousand seeds weight, negligible for silique length but significant for the *** seeds per silique. Significant interaction was detected for thousand seeds weight, while minor for other two traits. The genetic relationships among these three traits were discussed on the QTL level. Information obtained from this study is valuable for marker-based selection to improve yield components and yield level. in breeding program. Conditional mapping analysis revealed that QTLs for thousand seeds weight were more related with flowering time and grain filling period, while QTLs for the number of seeds per silique were more influenced by flowering period.

关键词： Brassica napus L. Yield components QTL mapping Conditional QTL mapping digenic interaction QTL by environment interaction

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