Abstract
The stalk sugar content in silage maize plays an important role in improving its forage quality and palatability. In this study, we reported a dynamic quantitative trait loci (QTL) analysis of stalk sugar content at different growth stages in maize. A recombinant inbred line (RIL) population with 202 lines derived from a cross of YXD053 × Y6-1 was used to identify the dynamic QTL for stalk sugar content (Brix) in maize. The Brix of RILs were measured at four stages in two environments. Twenty-two QTLs affecting maize stalk sugar content (Brix) were detected by unconditional mapping method. Fifteen QTLs were identified using conditional mapping approach. No QTL was detected at all sampling stages. Six QTL, qSSC-2.1, qSSC-2.2, qSSC-2.3, qSSC-5.1, qSSC-9.1 and qSSC-9.4, were detected by both unconditional and conditional mapping. One major QTL qSSC-2.1 flanked by markers bnlg1909 and umc1635 on chromosome 2 had a relatively high net effects of gene expression from anthesis stage to 20 days after anthesis. A total of six pairs of QTL with significant epistatic effects were identified at different developmental stages. No significant QTL × environment interactions were observed. Stalk sugar content is controlled by a complex genetic mechanism, and the QTL detected at different development stages might be important contributors to stalk sugar content in maize.


Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Atchley WR, Zhu J (1997) Developmental quantitative genetics, conditional epigenetic variability and growth in mice. Genetics 147:765–776
Bian YL, Du K, Wang YJ, Deng DX (2009) Distribution of sugar content in maize stalk. Acta Agron Sin 35:2252–2257 (in Chinese with English abstract)
Bian YL, Gu X, Sun DL, Wang YJ, Yin ZT, Wang YQ, Deng DX (2013) Inheritance analysis of stalk sugar content in maize. Acta Agron Sin 39:249–257 (in Chinese with English abstract)
Bian YL, Sun DL, Gu X, Wang YJ, Yin ZT, Deng DX, Wang YQ, Wu FF, Li GS (2014) Identification of QTL for stalk sugar-related traits in a population of recombinant inbred lines of maize. Euphytica 198:79–89
Chase K, Adler FR, Lark KG (1997) EPISTAT: a computer program for identifying and testing interactions between pairs of quantitative trait loci. Theor Appl Genet 94:724–730
Coors JG (1996) Findings of the Wisconsin maize silage consortium. In: Proceedings of Cornell Nutrition Conference for Feed Manufacturers, Rochester, New York, Cornell University, Ithaca, New York. pp 20–28
Cui F, Li J, Ding AM, Zhao CH, Wang L, Wang XQ, Li SS, Bao YG, Li XF, Feng DS, Kong LG, Wang HG (2011) Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat. Theor Appl Genet 122:1517–1536
Doebley J, Stec A, Gustus C (1995) Teosinte branched 1 and the origin of maize: evidence for epistasis and the evolution of dominance. Genetics 141:333–346
Froetschel MA, Ely LO, Amos HE (1991) Effects of additives and growth environment on preservation and digestibility of wheat silage fed to Holstein heifers. J Dairy Sci 74:546–556
Han YP, Xie DW, Teng WL, Zhang SZ, Chang W, Li WB (2011) Dynamic QTL analysis of linolenic acid content in different developmental stages of soybean seed. Theor Appl Genet 122:1481–1488
Jiang ZF, Ding JJ, Han YP, Teng WL, Zhang ZC, Li WB (2013) Identification of QTL underlying mass filling rate at different developmental stages of soybean seed. Euphytica 189:249–260
Johnson LM, Harrison JH, Davidson D, Mahanna WC, Shinners K (2003) Maize silage management: effects of hybrid, maturity, inoculation, and mechanical processing on fermentation characteristics. J Dairy Sci 86:287–308
Kulwal P, Kumar N, Kumar A, Gupta RK, Balyan HS, Gupta PK (2005) Gene networks in hexaploid wheat: interacting quantitative trait loci for grain protein content. Funct Integr Genomics 5:254–259
Li Z, Pinson S, Park W, Paterson A, Stansel J (1997) Epistasis for three grain yield components in rice (Oryza sativa L.). Genetics 145:453–465
Liang QZ, Li PB, Hu C, Hua H, Li ZH, Rong YH, Wang KB, Hua JP (2014) Dynamic QTL and epistasis analysis on seedling root traits in upland cotton. J Genet 93:63–78
Liu ZH, Ji HQ, Cui ZT, Wu X, Duan LJ, Feng XX, Tang JH (2011) QTL detected for grain-filling rate in maize using a RIL population. Mol Breeding 27:25–36
McDonald P, Henderson N, Heron SJE (1991) The biochemistry of silage, 2nd edn. Chalcombe Publications, Marlow, pp 70–120
Parth DK, Jordan DR, Aitken EAB, Mace ES, Jun-ai P, McIntyre CL, Godwin ID (2008) QTL analysis of ergot resistance in sorghum. Theor Appl Genet 117:369–382
Seale DR, Henderson AR, Pettersson KO, Lowe JF (1986) The effect of addition of sugar and inoculation with two commercial inoculants on the fermentation of lucerne silage in laboratory silos. Grass Forage Sci 41:61–70
Takai T, Fukuta Y, Shiraiwa T, Horie T (2005) Time-related mapping of quantitative trait loci controlling grain-filling in rice (Oryza sativa L.). J Exp Bot 56:2107–2118
Tanksley SD (1993) Mapping polygenes. Annu Rev Genet 27:205–233
Ungerer MC, Halldorsdottir SS, Modliszekwski JL, Mackay TFC, Purugganan MD (2002) Quantitative trait loci for inflorescence development in Arabidopsis thaliana. Genetics 160:1133–1152
Van Reen R, Singleton WR (1952) Sucrose content in the stalks of maize inbreds. Agron J 44:610–614
Wang SC, Basten CJ, Zeng ZB (2007) Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh, NC. http://statgen.ncsu.edu/qtlcart/WQTLCart.htm
Wang ZH, Wu XS, Ren Q, Chang XP, Li RZ, Jing RL (2010) QTL mapping for developmental behavior of plant height in wheat (Triticum aestivum L.). Euphytica 174:447–458
Welton FA, Morris VH, Hartzler AJ (1930) Distribution of moisture, dry matter, and sugars in the maturing corn stem. Plant Physiol 5:555–564
Widstrom NW, Bagby MO, Palmer DM, Black LT, Carr ME (1984) Relative stalk sugar yields among maize populations, cultivars, and hybrids. Crop Sci 24:913–915
Widstrom NW, Carr ME, Bagby MO, Black LT (1988) Distribution of sugar and soluble solids in the maize stalk. Crop Sci 28:861–863
Wilkinson JM, Chapman MPF, Wilkins RJ (1983) Interrelationships between pattern of fermentation during ensilage and initial crop composition. In: Proceeding of the 14th International Grassland. Lexington, US. pp 631–634
Wu KH (1987) Analysis of gene effects for three quantitative characters at different development stages in maize. Acta Genet Sin 14:363–369
Wu WR, Li WM, Tang DZ, Lu HR, Worland AJ (1999) Time-related mapping of quantitative trait loci underlying tiller number in rice. Genetics 151:297–303
Xu YB, Shen ZT (1991) Diallel analysis of tiller number at different growth stages in rice (Oryza sativa L.). Theor Appl Genet 83:243–249
Yang J, Hu CC, Ye XZ, Zhu J (2005) QTLNetwork-2.0. Institute bioinformatics, Zhejiang University, Hangzhou, China. http://ibi.zju.edu.cn/software/qtlnetwork/
Yu SB, Li JX, Xu CG, Tan YF, Gao YJ, Li XH, Zhang QF, Maroof MAS (1997) Importance of epistasis as the genetic basis of heterosis in an elite rice hybrid. Proc Natl Acad Sci USA 94:9226–9231
Zhang DY, Li ZQ, Liu CL (2007) Progress in the study of infection factors on silage quality. J Domest Anim Ecol 28:109–112 (in Chinese with English abstract)
Zhu J (1995) Analysis of conditional genetic effects and variance components in developmental genetics. Genetics 141:1633–1639
Acknowledgments
This study was supported by the National Natural Science Foundation of China (31071426) and was funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bian, Y., Gu, X., Sun, D. et al. Mapping dynamic QTL of stalk sugar content at different growth stages in maize. Euphytica 205, 85–94 (2015). https://doi.org/10.1007/s10681-015-1397-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10681-015-1397-0


