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Journal of Integrative Agriculture  2017, Vol. 16 Issue (05): 1075-1083    DOI: 10.1016/S2095-3119(16)61563-0
Section 3: Quality improvement of super rice Advanced Online Publication | Current Issue | Archive | Adv Search |
Discussion on strategy of grain quality improvement for super high yielding japonica rice in Northeast China
MAO Ting1*, LI Xu2*, JIANG Shu-kun3, TANG Liang1, WANG Jia-yu1, XU Hai1, XU Zheng-jin1

1 Rice Research Institute, Shenyang Agricultural University/Key Laboratory of Northeast Rice Biology and Breeding, Ministry of Agriculture/Key Laboratory of Northern japonica Rice Genetics and Breeding, Ministry of Eduction, Shenyang 110866, P.R.China

2 Liaoning Institute of Saline-Alkali Land Utilization, Panjin 124010, P.R.China

3 Cultivation and Farming Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, P.R.China

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Abstract  japonica rice is mainly distributed in Northeast China and accounts for 44.6% of the total cultivated area of japonica rice in China.  The comprehensive using of inter-subspecies heterosis is the main breeding mode of super japonica rice varieties in this region.  Improving rice quality at relative high yielding level is the current research focus.  Performing crosses between indica and japonica lines allows for the recombination of regulatory genes and genetic backgrounds, leading to complicated genetic rice quality characteristics, which can be used to explore patterns of quality improvement.  In the present study, we utilize recombinant inbred lines (RILs) derived from indica-japonica hybridization to analyze the effect factors of rice quality derived from genetic factors, which contain both regulatory genes concerning rice quality and genetic backgrounds’ random introduction frequency coming from indica (Di value), and the improvement strategy was further discussed.  The regulatory genes involved in amylase content (Wx) and nitrogen utilization efficiency (NRT1.1B) were the major factors affecting the amylose content (AC) and protein content (PC) in RILs, respectively.  Both the Di value and the major grain width gene (GS5) had regulatory effects on milled rice width (MRW) in RILs, and their interaction explained the major variance of MRW in the RILs.  With the mediation of MRW and chalkiness degree (C), Di value had a further impact on head rice rate (HR), which was relatively poor when the Di value was over 40%.  In Northeast China, the Di value should be lowered by backcrossing or multiple crosses during the breeding of indica-japonica hybridization to maintain the whole better HR and further to emphasize the use of favorable genes in individual selection.
Keywords:  super rice      indica-japonica hybridization      genetic dissection      quality improvement  
Received: 19 September 2016   Accepted:

The project was sponsored by the National Natural Science Foundation of China (31371587, 31430062) and the Cultivation Plan for Youth Agricultural Science Technology Innovative Talents of Liaoning Province, China (2015035, 2015036), the Program for Changjiang Scholars and Innovative Research Team in University, China (IRT13079).

Corresponding Authors:  XU Hai, Mobile: +86-13709844728, Fax: +24-88487183, E-mail:    
About author:  MAO Ting, Mobile: +86-13998787743, E-mail: chinamaoting; LI Xu, Mobile: +86-139987877843, Fax: +86-427-2836031, E-mail:

Cite this article: 

MAO Ting, LI Xu, JIANG Shu-kun, TANG Liang, WANG Jia-yu, XU Hai, XU Zheng-jin. 2017. Discussion on strategy of grain quality improvement for super high yielding japonica rice in Northeast China. Journal of Integrative Agriculture, 16(05): 1075-1083.

Aluko G, Martinez C, Tohme J, Castano C, Bergman C, Oard J H. 2004. QTL mapping of grain quality traits from the interspecific cross Oryza sativa×O. glaberrima. Theoretical and Applied Genetics, 109, 630–639.
Cameron D K, Wang Y J. 2005. A better understanding of factors that affect the hardness and stickiness of long-grain rice. Cereal Chemistry, 82, 113–119.
Chen W F, Xu Z J. 2007. The Theories and Methods of Rice Breeding for Maximum Yield. Science Press, Beijing. (in Chinese)
Cheng S H, Cao L Y, Zhung J Y, Chen S G, Zhan X D, Fan Y Y, Zhu D F, Min S K. 2007. Super hybrid rice breeding in China: Achievements and prospects. Journal of Integrative Plant Biology, 49, 805–810.
Cheng S H, Wu J G, Lou X B, Zhu J, Wu P. 2002. Genetic analysis of transparency and chalkiness area at different filling stages of rice (Oryza sativa L.). Field Crops Research, 76, 1–9.
Crofts N, Abe K, Aihara S, Itoh R, Nakamura Y, Itoh K, Fujita N. 2012.  Lack of starch synthase IIIa and high expression of granule-bound starch synthase I synergistically increase the apparent amylose content in rice endosperm. Plant Science, 193–194, 62–69.
Cui K, Peng S, Xing Y, Yu S, Xu C, Zhang Q. 2003. Molecular dissection of the genetic relationships of source, sink and transport tissue with yield traits in rice. Theoretical and Applied Genetics, 106, 649–658.
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 and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theoretical and Applied Genetics, 112, 1164–1171.
Gao H, Li F F, Lü G Y, Xia Y J, Wang J Y, Sun J, Tang L, Xu Z J. 2013. Effect of indica-japonica hybridization on grain quality of rice cultivars in Northeast China. Acta Agronomica Sinica, 39, 1806–1813. (in Chinese)
Hu B, Wang W, Ou S J, Tang J Y, Li H, Che R H, Zhang Z H, Chai X Y, Wang H R, Wang Y Q, Liang C Z, Liu L C, Piao Z Z, Deng Q Y, Deng Y, Xu C, Liang Y, Zhang L H, Li L G, Chu C C. 2015. Variation in NRT1.1B contributes to nitrate-use divergence between rice subspecies. Nature Genetics, 47, 834–838.
Huang X, Qian Q, Liu Z, Sun H, He S, Luo D, Xia G, Chu C, Li J, Fu X. 2009. Natural variation at the DEP1 locus enhances grain yield in rice. Nature Genetics, 41, 494–497.
Lanceras J C, Huang Z L, Naivikul O, Vanavichit A, Ruanjaichon V, Tragoonrung S. 2000. Mapping of genes for cooking and eating qualities in Thai Jasmine rice (KDML105). DNA Research, 7, 93–101.
Li C, Zhang Y, Ying K, Liang X L, Hu B. 2004. Sequence variations of simple sequence repeats on chromosome-4 in two subspecies of the Asian cultivated rice. Theoretical and Applied Genetics, 108, 392–400.
Li Y B, Fan C C, Xing Y Z, Yun P, Luo L J, Yan B, Peng B, Xie W B, Wang G W, Li X H, Xiao J H, Xu C G, He Y Q. 2014. Chalk5 encodes a vacuolar H+-translocating pyrophosphatase influencing grain chalkiness in rice. Nature Genetics, 46, 398–404.
Liu Q Q , Wang Z Y, Chen X H, Cai X L, Tang S Z, Yu H X, Zhang J L, Hong M M, Gu M H. 2003. Stable inheritance of the antisense waxy gene in transgenic rice with reduced amylose level and improved quality. Transgenic Research, 12, 71–82.
Mao T, Li X. 2011. QTL analysis of subspecies characteristics in RILs population from indica-japonica Cross. Jiangsu Agricultural Sciences, 39, 40–42. (in Chinese)
Mao T, Xu H, Guo Y H, Zhu C J, Chen K, Wang J Y, Xu Z J. 2009. Establishment of subspecies classification of indica and japonica system by SSR markers. Acta Agriculaturae Boreali-Sinica, 24, 119–124. (in Chinese)
Mao T, Xu H, Guo Y H, Zhu C J, Chen K, Wang J Y, Xu Z J. 2010. Relationship between subspecies differentiation and rice quality traits in RILs population from indica-japonica cross. Chinese Journal of Rice Science, 24, 474–478. (in Chinese)
NY 147-88. 1998. Good Quality and Edible Rice Grains. Ministry of Agriculture, People’s Republic of China. (in Chinese)
Olsen K M, Caicedo A L, Polato N, McClung A, McCouch S, Purugganan M D. 2006. Selection under domestication: Evidence for a sweep in the rice waxy genomic region. Genetics, 173, 975–983.
Ren D Y, Rao Y C, Huang L C, Leng Y J, Hu J, Lu M, Zhang G H, Zhu L, Gao Z Y, Dong G J, Guo L B, Qian Q, Zeng D L. 2016. Fine mapping identifies a new QTL for brown rice rate in rice (Oryza sativa L.). Rice, 9, 4.
Shomura A, Izawa T, Ebana K, Ebitani T, Kanegae H, Konishi S, Yano M. 2008. Deletion in a gene associated with grain size increased yields during rice domestication. Nature Genetics, 40, 1023–1028.
Song X J, Huang W, Shi M, Zhu M Z, Lin H X. 2007. A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase. Nature Genetics, 39, 623–630.
Sun J, Liu D, Wang J Y, Ma D R, Tang L, Gao H, Xu Z J, Chen W F. 2012. The contribution of intersubspecific hybridization to the breeding of super-high-yielding japonica rice in northeast China. Theoretical and Applied Genetics, 125, 1149–1157.
Tian M X, Yu B X, Zhang S L, He Y X, Wu R, Tian J P, Ye Y Y. 2016. Development and application of a functional marker for high nitrogen-use efficiency gene in rice. Molecular Plant Breeding, 14, 410–416. (in Chinese)
Tian Z X, Qian Q, Liu Q Q, Yan M X, Liu X F, Yan C J, Liu G F, Gao Z Y, Tang S Z, Zeng D L, Wang Y H, Yu J M, Gu M H, Li J Y. 2009. Allelic diversities in rice starch biosynthesis lead to a diverse array of rice eating and cooking qualities. Proceedings of the National Academy of Sciences of the United States of America, 106, 21760–21765.
Wang S K, Wu K, Yuan Q B, Liu X Y , Zheng B L, Lin X Y, Zeng R Z, Zhu H T, Dong G J, Qian Q, Zhang G Q, Fu X D. 2012. Control of grain size, shape and quality by OsSPL16 in rice. Nature Genetics, 44, 950–952.
Wada T, Ogata T, Tsubone M, Uchimura Y, Matsue Y. 2008. Mapping of QTLs for eating quality and physicochemical properties of the japonica rice ‘Koshihikari’. Breeding Science, 58, 427–435.
Wu C M, Sun C Q, Fu X L, Wang X K, Li Z C, Zhang Q. 2003. Study on the relationship between quality, yield characters or indica-japonica differentiation in rice (Oryza sativa L.). Acta Agronomica Sinica, 29, 822–828. (in Chinese)
Xiong Z Y, Zhang S J, Wang Y Y, Brain V, Ford L, Tu M, Jin X, Wu Y, Yan H X, Yang X, Liu P, Lu B R. 2010. Differentiation and distribution of indica and japonica rice varieties along the altitude gradients in Yunnan Province of China as revealed by InDel molecular markers. Genetic Resources and Crop Evolution, 57, 891–902.
Xu Q, Xu N, Xu H, Tang L, Liu J, Sun J, Wang J. 2014. Breeding value estimation of the application of IPA1 and DEP1 to improvement of Oryza sativa L. ssp. japonica in early hybrid generations. Molecual Breeding, 34, 1933–1942.
Yang J C, Peng S B, Romeo M, Arnel L, Sanico, Zhu Q S, Gu S L. 2000. Grain filling pattern and cytokinin content in the grains and roots of rice plants. Plant Growth Regulation, 30, 261–270.
Yi M, Nwe K T, Vanavichit A, Witith C, Toojinda T. 2009. Marker assisted backcross breeding to improve cooking quality traits in Myanmar rice cultivar Manawthukha. Field Crops Research, 113, 178–186.
Young N D, Tanksley S D. 1989. Restriction fragment length polymorphism maps and the concept of graphical genotypes. Theoretical and Applied Genetics, 71, 95–101.
Zhang J, Cheng H T, Xu H, Xia Y J, Liu C X, Xu Z J. 2015. Relationship between cooking-eating quality and subspecies differentiation in RILs population from indica and japonica crossing. Chinese Journal of Rice Science, 29, 167–173. (in Chinese)
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