|
|
|
Improvement of Yield and Its Related Traits for Backbone Hybrid Rice Parent Minghui 86 Using Advanced Backcross Breeding Strategies |
ZHANG Hong-jun, WANG Hui, YE Guo-you, QIAN Yi-liang, SHI Ying-yao, XIA Jia-fa, LI Ze-fu, ZHU Ling-hua, GAO Yong-ming, LI Zhi-kang |
1.National Key Facility for Crop Gene Resources and Genetic Improvement, Ministry of Agriculture & National Development and Reform
Commission/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
2.Rice Research Institute, Anhui Academy of Agricultural Sciences, Anhui 230031, P.R.China
3.International Rice Research Institute, DAPO Box 7777, Philippines
4.College of Agriculture, Anhui Agricultural University, Anhui 230036, P.R.China |
|
|
摘要 How to overcome yield stagnation is a big challenge to rice breeders. An effective method for quickly developing new cultivars is to further improve an outstanding cultivar. In this study, three advanced backcross populations under yield selection that consist of 123 BC2F2:4 introgression lines (ILs) were developed by crossing Minghui 86 (recurrent parent, RP) with three high-yielding varieties (donors), namely, ZDZ057, Fuhui 838, and Teqing, respectively. The progeny testing allowed the identification of 12 promising ILs that had significantly higher mean grain yields than Minghui 86 in two environments. A total of 55 QTLs that affect grain yield and its related traits were identified, which included 50 QTLs that were detected using the likelihood ratio test based on stepwise regression (RSTEP-LRT) method, and eight grain yield per plant (GY) QTLs were detected using chi-squared (c2) test. Among these QTLs, five QTLs were simultaneously detected in different populations and 22 QTLs were detected in both environments. The beneficial donor alleles for increased GY and its related traits were identified in 63.6% (35 out of 55) of the QTLs. These promising ILs and QTLs identified will provide the elite breeding materials and genetic information for further improvement of the grain yield for Minghui 86 through pyramiding breeding.
Abstract How to overcome yield stagnation is a big challenge to rice breeders. An effective method for quickly developing new cultivars is to further improve an outstanding cultivar. In this study, three advanced backcross populations under yield selection that consist of 123 BC2F2:4 introgression lines (ILs) were developed by crossing Minghui 86 (recurrent parent, RP) with three high-yielding varieties (donors), namely, ZDZ057, Fuhui 838, and Teqing, respectively. The progeny testing allowed the identification of 12 promising ILs that had significantly higher mean grain yields than Minghui 86 in two environments. A total of 55 QTLs that affect grain yield and its related traits were identified, which included 50 QTLs that were detected using the likelihood ratio test based on stepwise regression (RSTEP-LRT) method, and eight grain yield per plant (GY) QTLs were detected using chi-squared (c2) test. Among these QTLs, five QTLs were simultaneously detected in different populations and 22 QTLs were detected in both environments. The beneficial donor alleles for increased GY and its related traits were identified in 63.6% (35 out of 55) of the QTLs. These promising ILs and QTLs identified will provide the elite breeding materials and genetic information for further improvement of the grain yield for Minghui 86 through pyramiding breeding.
|
Received: 01 July 2012
Accepted:
|
Fund: The study was funded by the National High-Tech R&D Program of China (2010AA101806) and the Bill & Melinda Gates Foundation, USA (OPP51587). |
Corresponding Authors:
Correspondence GAO Yong-ming, Tel: +86-10-82106697,Fax: +86-10-82108559, E-mail: irriygao@126.com
E-mail: irriygao@126.com
|
About author: ZHANG Hong-jun, E-mail: zhjgoodfuture@163.com; WANG Hui, E-mail: whuimichael@yahoo.com.cn; |
Cite this article:
ZHANG Hong-jun, WANG Hui, YE Guo-you, QIAN Yi-liang, SHI Ying-yao, XIA Jia-fa, LI Ze-fu, ZHU Ling-hua, GAO Yong-ming, LI Zhi-kang.
2013.
Improvement of Yield and Its Related Traits for Backbone Hybrid Rice Parent Minghui 86 Using Advanced Backcross Breeding Strategies. Journal of Integrative Agriculture, 12(4): 561-570.
|
[1]Ali A J, Xu J L, Ismail A M, Fu B Y, Vijaykumar C H M, Gao YM, Domingo J, Maghirang R, Yu S B, Gregorio G, et al.2006. Hidden diversity for abiotic and biotic stresstolerances in the primary gene pool of rice revealed bya large backcross breeding program. Field CropsResearch, 97, 66-76[2]Brondani C, Rangel P H N, Brondani R P V, Ferreira M E.2002. QTL mapping and introgression of yield-relatedtraits from Oryza glumaepatula to cultivated rice (Oryzasativa) using microsatellite markers. Theoretical andApplied Genetics, 104, 1192-1203[3]Chen M Y, Ali J, Fu B Y, Xu J L, Zhao M F, Jiang Y Z, ZhuL H, Shi Y Y, Yao D N, Gao Y M, et al. 2011. Detection ofdrought-related loci in rice at reproductive stage usingselected introgressed lines. Agricultural Sciences inChina, 10, 1-8[4]Deng D S, Guang H Y, Deng W M. 1996. Breeding andutilization of restorer line Fuhui 838. Hybrid Rice, 4, 10-12[5](in Chinese)Fan C C, Xing Y Z, Mao H L, Lu T T, Han B, Xu C G, Li X H,Zhang Q F. 2006. GS3, a major QTL for grain length andweight and minor QTL for grain width and thickness inrice, encodes a putative transmembrane protein.Theoretical and Applied Genetics, 112, 1164-1171[6]Ge H M, Wang L F, You G X, Hao C Y, Dong Y C, Zhang X Y.2009. Fundamental roles of cornerstone breeding linesin wheat reflected by SSR random scanning. ScientiaAgricultural Sinica, 42, 1503-1511 (in Chinese)[7]He Y X, Zheng T Q, Hao X B, Wang L F, Gao Y M, Hua Z T,Xu J L, Zhu L H, Li Z K. 2010. Yield performances ofjaponica introgression lines selected for droughttolerance in a BC breeding programme. Plant Breeding,129, 167-175[8]Jiang G H, He Y Q, Xu C G, Li X H, Zhang Q F. 2004. Thegenetic basis of stay-green in rice analyzed in apopulation of doubled haploid lines derived from anindica by japonica cross. Theoretical and AppliedGenetics, 108, 688-698[9]Li Z K, Fu B Y, Gao Y M, Xu J L, Ali J, Lafitte H R, Jiang Y Z,Rey D, Vijayakumar C H M, Maghirang R, et al. 2005.Genome-wide introgression lines and their use in geneticand molecular dissection of complex phenotypes in rice.Plant Molecular Biology, 59, 33-52[10]Marri P R, Laxminarayana S N, Reddy L, Siddiq E A. 2005.Identification and mapping of yield and yield relatedQTLs from an Indian accession of Qryza rufipogon.BMC Genetics, 6, doi: 10.1186/1471-2156-6-33[11]McCouch S R, Teytelman L, Xu Y B, Lobos K B, Clare K,Walton M, Fu B Y, Maghirang R, Li Z K, Xing Y Z, et al2002. Development and mapping of 2240 new SSRmarkers for rice (Oryza sativa L.). DNA Research, 9,199-207[12]Rosegrant M W, Cline S A. 2003. Global food security:challenges and policies. Science, 302, 1917-1919[13]Septiningsih E M, Prasetiyono J, Lubis E, Tai T H, TjubaryatT, Moeljopawiro S, McCouch S R. 2003. Identificationof quantitative trait loci for yield and yield componentsin an advanced backcross population derived from theOryza sativa variety IR64 and the wild relative O. rufipogon.Theoretical and Applied Genetics, 107, 1419-1432[14]Tanksley S D, Nelson J C. 1996. Advanced backcross QTLanalysis: a method for the simultaneous discovery andtransfer of valuable QTLs from unadapted germplasminto elite breeding lines. Theoretical and AppliedGenetics, 92, 191-203[15]Temnykh S, Park W D, Ayres N, Cartinhour S, Hauck N,Lipovich L, Cho Y G, Issii T, McCouch S R. 2000.Mapping and genome organization of microsatellitesequences in rice (Oryza sativa L.). Theoretical andApplied Genetics, 100, 697-712[16]Temnykh S, DeClerck G, Lukashova A, Lipovich L,Cartinhour S, McCouch S. 2001. Computational andexperimental analysis of microsatellites in rice (Oryzasativa L.): frequency, length variation, transposonassociations, and genetic marker potential. GenomeResearch, 11, 1441-1452[17]Thomson M J, Tai T H, McClung A M, Lai X H, Hinga M E,Lobos K B, Xu Y, Martinez C P, McCouch S R. 2003.Mapping quantitative trait loci for yield, yieldcomponents and morphological traits in an advancedbackcross population between Oryza rufipogon andthe Oryza sativa cultivar Jefferson. Theoretical andApplied Genetics, 107, 479-493[18]Wang A D, Chen H Z, Wang B L, Ye C Q, Chen J S, Sun D F.1997. High-yielding techniques for the seed productionof Xieyou 57. Hybrid Rice, 12, 30. (in Chinese)[19]Wang C R, Chen S, Yu S B. 2011. Functional markersdeveloped from multiple loci in GS3 for fine markerassistedselection of grain length in rice. Theoreticaland Applied Genetics, 122, 905-913[20]Wang J K, Wan X Y, Crossa J, Crouch J, Weng J F, Zhai HQ, Wang J M[21]2006. QTL mapping of grain length in rice(Oryza sativa L.) using chromosome segmentsubstitution lines. Genetics Research, 88, 93-104[22]Wei X H, Tang S X, Yu H Y, Wang Y P, Yuan X P, Xu Q.2010. Beneficial analysis on introduced rice germplasmfrom abroad in China. Chinese Journal of Rice Science,24, 5-11[23]Xue W Y, Xing Y Z, Weng X Y, Zhao Y, Tang W J, Wang L,Zhou H J, Yu S B, Xu C G, Li X H, et al. 2008. Naturalvariation in Ghd7 is an important regulator of headingdate and yield potential in rice. Nature Genetics, 40,761-767[24]Yang G M. 1990. Succesfully test midseason rice new varietyTeqing with high yield and disease resistance. HubeiAgricultural Sciences, 4, 33-33 (in Chinese)[25]Zhang F, Zhai H Q, Paterson A H, Xu J L, Gao Y M, ZhengT Q, Wu R L, Fu B Y, Ali J H, Li Z K. 2011. Dissectiongenetic networks underling complex phenotypes: thetheoretical framework. PLoS ONE, 6, e14541.[26]Zhang Y S, Luo L J, Liu T M, Xu C G, Xing Y Z. 2009. Fourrice QTL controlling number of spikelets per panicleexpressed the characteristics of single Mendelian genein near isogenic backgrounds. Theoretical and AppliedGenetics, 118, 1035-1044[27]Zhuang J Y, Fan Y Y, Wu J L, Xia Y W, Zheng K L. 2001.Comparison of the detection of QTL for yield traits indifferent generation of a rice cross using two mappingapproaches. Acta Genetica Sinica, 28, 458-464. |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|