QTL Mapping of Yield and Yield Components for Elite Hybrid Derived-RILs in Upland Cotton

Baohua Wang; Wangzhen Guo; Xiefei Zhu; Yaoting Wu; Naitai Huang; Tianzhen Zhang

doi:10.1016/S1673-8527(07)60005-8

Volume 34 Issue 1

Jan. 2007

Turn off MathJax

Article Contents

Article Navigation > Journal of Genetics and Genomics > 2007 > 34(1): 35-45

PDF( 359 KB)

QTL Mapping of Yield and Yield Components for Elite Hybrid Derived-RILs in Upland Cotton

doi: 10.1016/S1673-8527(07)60005-8

State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural University, Nanjing 210095, China

More Information

Corresponding author: E-mail address: cotton@njau.edu.cn (Tianzhen Zhang)
Received Date: 2006-01-23
Accepted Date: 2006-03-14

Available Online: 2007-04-18

Publish Date: 2007-01-20

Abstract

Abstract

A population of 180 recombinant inbred lines (RILs) was developed by single seed descended from the cross of high yield Upland cotton (Gossypium hirsutum L.) varieties Zhongmiansuo12 (ZMS12) and 8891, the two parents of Xiangzamian2 (XZM2). A genetic linkage map consisting of 132 loci and covering 865.20 cM was constructed using the RIL population chiefly with SSR markers. Yield and yield components were investigated for RILs in three environments in China. The purpose of the present research was to analyze the relationship between yield and its components and to map QTL for yield and yield components in cotton. QTL were tagged with data sets from single environment (separate analysis) and a set of data from means of the three environments (joint analysis). A total of 34 QTL for yield and yield components were independently detected in three environments, whereas fifteen QTL were found in joint analysis. Notably, a stable lint percentage QTLqLP-A10-1 was detected both in joint analysis and in two environments of separate analysis, which might be of special value for marker-assisted selection. The QTL detected in the present study provide new information on improving yield and yield components. Results of path analysis showed that bolls/plant had the largest contribution to lint yield, which is consistent with the mid-parent heterosis value in F₁. Accordingly, in cotton breeding, bolls/plant can be considered first and other yield components measured as a whole to implement variety enhancement and hybrid selection of cotton.
- QTL mapping,
- yield and yield components,
- recombinant inbred lines,
- cotton breeding

FullText(HTML)

References(24)

References

[1]	Lander, ES, Botstein, et al. Strategies for studying heterogeneous genetic traits in humans by using a linkage map of restriction fragment length polymorphisms Proc Natl Acad Sci USA, 83 (1986),pp. 7353-7357
[2]	Shappley, ZW, Jenkins, et al. Quantitative trait loci associated with agronomic and fiber traits of Upland cotton J Cotton Sci, 4 (1998),pp. 153-163
[3]	Ulloa, M, Genetic linkage map and QTL analysis of agronomic and fiber quality traits in an intraspecific population J Cotton Sci, 4 (2000),pp. 161-170
[4]	Ulloa, M, Saha, et al. J Hered, 96 (2005),pp. 132-144
[5]	He, DH, Lin, et al. Mapping QTLs of traits contributing to yield and analysis of genetic effects in tetraploid cotton Euphytica, 144 (2005),pp. 141-149
[6]	Burr, B, Burr, et al. Gene mapping with recombinant inbreds in maize Genetics, 118 (1988),pp. 519-526
[7]	Li, YQ, Zeng, et al. Selection and application of Xiangzamian 2 Crop Res, 4 (1997),pp. 27-29
[8]	Paterson, AH, Brubaker, et al. Plant Mol Biol Rep, 11 (1993),pp. 122-127
[9]	Wang, BH, Wu, et al. QTL mapping for plant architecture traits in Upland cotton using RILs and SSR markers Acta Genet Sin, 33 (2006),pp. 161-170
[10]	Vos, P, Hogers, et al. AFLP: A new technique for DNA fingerprinting Nucleic Acids Res, 23 (1995),pp. 4407-4414
[11]	Chalhoub, BA, Thibault, et al. Silver staining and recovery of AFLP amplification products on large denaturing polyacrylamide gels Biotechniques, 22 (1997),pp. 216-220
[12]	Lander, ES, Green, et al. MAPMAKER: An interactive computer package for constructing primary genetic linkage maps of experimental and natural populations Genomics, 1 (1987),pp. 174-181
[13]	Lincoln, S, Daly, et al.
[14]	Kosambi, DD The estimation of map distances from recombination values Ann Eugen, 12 (1944),pp. 172-175
[15]	Han, ZG, Wang, et al. Theor Appl Genet, 112 (2006),pp. 430-439
[16]	Wang, K, Song, et al. Theor Appl Genet, 111 (2006),pp. 73-80
[17]	Zeng, ZB Precision mapping of quantitative trait loci Genetics, 136 (1994),pp. 1457-1468
[18]	Basten, CJ, Weir, et al.
[19]	Shen, XL, Guo, et al. Molecular mapping of QTLs for fiber qualities in three diverse lines in upland cotton using SSR markers Mol Breed, 15 (2005),pp. 169-181
[20]	Zhang, ZS, Xiao, et al. Euphytica, 144 (2005),pp. 91-99
[21]	Wendel, JF, Brubaker, et al. Am J Bot, 79 (1992),pp. 1291-1310
[22]	Iqbal, MJ, Reddy, et al. Theor Appl Genet, 103 (2001),pp. 547-554
[23]	Kohel, RJ, Yu, et al. Molecular mapping and characterization of traits controlling fiber quality in cotton Euphytica, 121 (2001),pp. 163-172
[24]	Wu, JX, Jenkins, et al. Genetic association of yield with its component traits in a recombinant inbred line population of cotton Euphytica, 140 (2004),pp. 171-179