Detection and integration of quantitative trait loci for grain yield components and oil content in two connected recombinant inbred line populations of high-oil maize |
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Authors: | Guohu Yang Yuling Li Qilei Wang Yuguang Zhou Qiang Zhou Bingtao Shen Feifei Zhang Xiaojie Liang |
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Institution: | (1) College of Agriculture, Henan Agricultural College, 95 Wenhua Rd, Zhengzhou, China;(2) Present address: Ningxia Academy of Agricultural Science, Yinchuan, Ningxia, China; |
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Abstract: | Improvement in grain yield is an important objective in high-oil maize breeding. In this study, one high-oil maize inbred
was crossed with two normal maize inbreds to produce two connected recombinant inbred line (RIL) populations with 282 and
263 F7:8 families, respectively. The field experiments were conducted under four environments, and eight grain yield components and
grain oil content were evaluated. Two genetic linkage maps were constructed using 216 and 208 polymorphic SSR markers. Quantitative
trait loci (QTL) were detected for all traits under each environment and in combined analysis. Meta-analysis was used to integrate
genetic maps and detected QTL in both populations. A total of 199 QTL were detected, 122 in population 1 and 87 in population
2. Seven, 11 and 19 QTL showed consistency across five environments, across two RIL populations and with respective F2:3 generations, respectively. 183 QTL were integrated in 28 meta-QTL (mQTL). QTL with contributions over 15% were consistently
detected in 3–4 cases and integrated in mQTL. Each mQTL included 3–19 QTL related to 1–4 traits, reflecting remarkable QTL
co-location for grain yield components and oil content. Further research and marker-assisted selection (MAS) should be concentrated
on 37 consistent QTL and four genetic regions of mQTL with more than 10 QTL at bins 3.04–3.05, 7.02, 8.04–8.05 and 9.04–9.05.
Near-isogenic lines for 100-grain-weight QTL at bin 7.02–7.03, for ear-length QTL at bin 7.02–7.03 and for rows-per-ear QTL
at bin 3.08 are now in construction using MAS. Co-located candidate genes could facilitate the identification of candidate
genes for grain yield in maize. |
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