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African Journal of Biotechnology

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QTL mapping for controlling anthesis-silking interval based on RIL population in maize

X Liu, Z Zheng, Z Tan, Z Li, C He, D Liu, G Zhang, Y Luo

Abstract


Nitrogen (N) deficiency will severely affect many metabolic pathways and physiological progresses during maize (Zea mays L.) growth and change of anthesis-silking interval (ASI) is one of the most serious consequences. To realize the genetic basis of ASI, a recombinant inbred line (RIL) population consisting of 239 RILs, derived from the cross between Mo17 and Huangzao4, was used to identify the quantitative trait loci (QTLs) controlling ASI under different N environments. As a result, 6 QTLs were detected under high N environment on chromosome 3, 6, 7 and 8 and could explain total 53.67% of phenotypic variance. While, under low N environment, only 3 QTLs were identified on chromosome 6, 7 and 8, and they could account for total 31.87% of phenotypic variance. The two QTLs Qasihn6-1 and Qasihn3-1, identified under high N environment, were quite near to their linked marker Phi077 and Bnlg197, respectively, with less than 1 cM of genetic distance. These results are beneficial for understanding the genetic basis of ASI in maize.



http://dx.doi.org/10.5897/AJB09.681
AJOL African Journals Online