|Table of Contents|

Mapping QTL for Flowering Time and Plant Height in a Summer-sowing Soybean RIL Population NJRIMN
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《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2018年06期
Page:
860-865
Research Field:
Publishing date:

Info

Title:
Mapping QTL for Flowering Time and Plant Height in a Summer-sowing Soybean RIL Population NJRIMN
Author(s):
ZHANG Ya-juan1;  CAO Yong-ce1; 2;  LI Shu-guang1;  CHANG Fang-guo1;  KONG Jie-jie1;  GAI Jun-yi1;  ZHAO Tuan-jie1
(1Soybean Research Institute of Nanjing Agricultural University/ National Center for Soybean Improvement/ Key Laboratory for Biology and Genetic Improvement of Soybean (General), Ministry of Agriculture/ National Key Laboratory for Crop Genetic and Germplasm Enhancement/ Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing 210095, China; 2 College of Life Sciences, Yan’an University, Yan’an 716000, China)
Keywords:
Summer-sowing soybean;  Flowering time;  Plant height;  QTL mapping;  Trait correlation
PACS:
-
DOI:
1011861/jissn1000-98412018060860
Abstract:
Flowering time and plant height of soybean are important target traits for soybean breeding with significant correlation However, relatively less studies of the traits for summer-sowing soybeans in the region between lower Yangtze River and Huai river were conducted Mapping QTLs for these two traits by using recombinant inbred line populations can provide deep knowledge for their genetic basis QTL mapping for flowering time and plant height in NJRIMN was conducted by using WinQTLCart25 with multiple-trait composite interval mapping (MT-CIM) and mixed-model based composite interval mapping (MCIM) via QTLNetwok21 The results showed that 8 additive QTLs for flowering time were detected by MCIM method, among which qFT-6-2 and qFT-11-1 had significant additive and environmental interaction effects Eleven pairs of epistatic QTLs were also mapped, but there was no significant interaction with environment The additive effects totally explained 7130% of the phenotypic variation for flowering time, while epistatic effects accounted for only 888% Six additive QTLs for plant height were mapped, among which qPH-6-1, qPH-12-1 and qPH-19-2 had significant additive and environmental interaction effects Four pairs of epistatic QTLs were also mapped, and there were significant epistasis and environmental interaction effects in the epistasis between qPH-8-1 and qPH-16-1 The additive effects totally explained 4104% of the phenotypic variation for flowering time, while epistatic effects accounted for 1445% Five QTLs simultaneously controlling flowering time and plant height were found, and the three QTLs on chromosome 6, 10 and 19 were overlapped with E1, E2 and Dt1 gene

References:

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Last Update: 2018-12-04