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Mapping and validation of the quantitative trait loci for leaf stay‐green‐associated parameters in maize
Author(s) -
Yang Zhen,
Li Xin,
Zhang Ning,
Wang Xiaolei,
Zhang Yuna,
Ding Yulong,
Kuai Benke,
Huang Xueqing
Publication year - 2017
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/pbr.12451
Subject(s) - biology , quantitative trait locus , inbred strain , trait , population , marker assisted selection , genetics , agronomy , gene , demography , sociology , computer science , programming language
Functional stay‐green is generally regarded as a desirable trait of varieties in major crops including maize. In this study, we used an F 3:4 recombinant inbred line population with 165 lines from a cross between a stay‐green inbred line (Zheng58) and a model inbred line (B73) using 211 polymorphic simple sequence repeat markers to map quantitative trait loci for three stay‐green‐associated parameters, chlorophyll content, photosystem II photochemical efficiency and stay‐green area, at maturity stage, detected a total of 23 quantitative trait loci ( QTL ) on nine chromosomes. Single QTL explained 3.7–13.5% of the phenotypic variance. Additionally, we validated some important stay‐green QTL using a heterogeneous inbred family approach and found that the stay‐green‐associated parameters were significantly correlated with the plant yield. This study may contribute to a better insight into the regulatory mechanism behind leaf stay‐green in maize and a novel development of elite maize varieties with delayed leaf senescence through molecular marker‐assisted selection.