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Editorial | Open Access

Breeding by design for future rice: Genes and genome technologies

Jianlong Xua,b, Yongzhong Xingc, Yunbi Xua,d, Jianmin Wana
National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, Guangdong, China
National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, Hubei, China
International Maize and Wheat Improvement Center (CIMMYT), El Batan, Texcoco 56130, Mexico
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References

[1]

Q. Zhang, Strategies for developing Green Super Rice, Proc. Natl. Acad. Sci. U. S. A. 104 (2007) 16402-16409.
Crossref Google Scholar
[2]

Y. Li, J. Xiao, L. Chen, X. Huang, Z. Cheng, B. Han, Q. Zhang, C. Wu, Rice functional genomics research: past decade and future, Mol. Plant 11 (2018) 359-380.
Crossref Google Scholar
[3]

D.B. Lobell, W. Schlenker, J. Costa-Roberts, Climate trends and global crop production since 1980, Science 333 (2011) 616-620.
Crossref Google Scholar
[4]

C.S. Michael, Adaptation of plants to salinity, Adv. Agron. 60 (1997) 75-120.
Crossref Google Scholar
[5]

X.M. Li, D.Y. Chao, Y. Wu, X. Huang, K.e. Chen, L.G. Cui, L. Su, W.W. Ye, H. Chen, H.C. Chen, N.Q. Dong, T. Guo, M. Shi, Q.i. Feng, P. Zhang, B. Han, J.X. Shan, J.P. Gao, H.X. Lin, Natural alleles of a proteasome α2 subunit gene contribute to thermotolerance and adaptation of African rice, Nat. Genet. 47 (2015) 827-833.
Crossref Google Scholar
[6]

N. Sreenivasulu, V.M. Butardo, G. Misra, R.P. Cuevas, R. Anacleto, P.B. Kavi Kishor, Designing climate-resilient rice with ideal grain quality suited for high-temperature stress, J. Exp. Bot. 66 (2015) 1737-1748.
Crossref Google Scholar
[7]

A.Y.M. Nevame, R.M. Emon, M.A. Malek, M.M. Hasan, M.A. Alam, F.M. Muharam, F. Aslani, M.Y. Rafii, M.R. Ismail, Relationship between high temperature and formation of chalkiness and their effects on quality of rice, Biomed Res. Int. 2018 (2018) 1653721.
Crossref Google Scholar
[8]

Y. Kan, H.X. Lin, Molecular regulation and genetic control of rice thermal response, Crop J. 9 (2021) 497-505.
Crossref Google Scholar
[9]

T.X. Chen, S. Shabala, Y.N. Niu, Z.H. Chen, L. Shabala, H. Meinke, G. Venkataraman, A. Pareek, J.L. Xu, M.X. Zhou, Molecular mechanisms of salinity tolerance in rice, Crop J. 9 (2021) 506-520.
Crossref Google Scholar
[10]
Z.K. Li, J.L. Xu, Breeding for drought and salt tolerant rice (Oryza sativa L.): progress and perspectives, in: M.A. Jenks, P.M. Hasegawa, S.M. Jain (Eds), Advances in Molecular Breeding toward Drought and Salt Tolerant Crops, Springer 2007, pp. 531–564.
[11]

J.D. Platten, J.A. Egdane, A.M. Ismail, Salinity tolerance, Na+ exclusion and allele mining of HKT1,5 in Oryza sativa and O. glaberrima: many sources, many genes, one mechanism?, BMC Plant Biol 13 (2013) 32.
Crossref Google Scholar
[12]

C.A. Solis, M.T. Yong, R. Vinarao, K. Jena, P. Holford, L. Shabala, M. Zhou, S. Shabala, Z.H. Chen, Back to the wild: on a quest for donors toward salinity tolerant rice, Front. Plant Sci. 11 (2020) 323.
Crossref Google Scholar
[13]

J.S. Luo, Z.H. Zhang, Mechanisms of cadmium phytoremediation and detoxification in plants, Crop J. 9 (2021) 521-529.
Crossref Google Scholar
[14]

G. Duan, G. Shao, Z. Tang, H. Chen, B. Wang, Z. Tang, Y. Yang, Y. Liu, F.J. Zhao, Genotypic and environmental variations in grain Cadmium and Arsenic concentrations among a panel of high yielding rice cultivars, Rice 10 (2017) 9.
Crossref Google Scholar
[15]

L. Sun, X. Xu, Y. Jiang, Q. Zhu, F. Yang, J. Zhou, Y. Yang, Z. Huang, A. Li, L. Chen, W. Tang, G. Zhang, J. Wang, G. Xiao, D. Huang, C. Chen, Genetic diversity, rather than cultivar type, determines relative grain Cd accumulation in hybrid rice, Front. Plant Sci. 7 (2016) 1407.
Google Scholar
[16]

Y. Ding, S. Gong, Y.i. Wang, F. Wang, H. Bao, J. Sun, C. Cai, K. Yi, Z. Chen, C. Zhu, MicroRNA166 modulates cadmium tolerance and accumulation in rice, Plant Physiol. 177 (2018) 1691-1703.
Crossref Google Scholar
[17]

J.S. Luo, J. Huang, D.L. Zeng, J.S. Peng, G.B. Zhang, H.L. Ma, Y. Guan, H.Y. Yi, Y.L. Fu, B. Han, H.X. Lin, Q. Qian, J.M. Gong, A defensin-like protein drives cadmium efflux and allocation in rice, Nat. Commun. 9 (2018) 645.
Crossref Google Scholar
[18]

B. Feng, K. Chen, Y.R. Cui, Z.C. Wu, T.Q. Zheng, Y.J. Zhu, J. Ali, B.B. Wang, J.L. Xu, W.Z. Zhang, Z.K. Li, Genetic dissection and simultaneous improvement of drought and low nitrogen tolerances by designed QTL pyramiding in rice, Front. Plant Sci. 9 (2018) 306.
Crossref Google Scholar
[19]

M. Perchlik, M. Tegeder, Improving plant nitrogen use efficiency through alteration of amino acid transport processes, Plant Physiol. 175 (2017) 235-247.
Crossref Google Scholar
[20]

N. Guo, S.N. Zhang, M.J. Gu, G.H. Xu, Function, transport and regulation of amino acids: what is missing in rice?, Crop J 9 (2021) 530-542.
Crossref Google Scholar
[21]
S.H. Ou, Rice Disease, Commonwealth Mycological Institute, Kew, UK, 1985.
[22]

J.J. Yin, L.J. Zou, X.B. Zhu, Y.Y. Cao, M. He, X.W. Chen, Fighting the enemy: how rice survives the blast pathogen’s attack, Crop J. 9 (2021) 543-552.
Crossref Google Scholar
[23]

L. Wang, H.T. Xie, X.Y. Zheng, J.S. Chen, S. Zhang, J.G. Wu, Recent advances and emerging trends in antiviral defense networking in rice, Crop J. 9 (2021) 553-563.
Crossref Google Scholar
[24]

E. Shikata, Y. Kitagawa, Rice black-streaked dwarf virus: its properties, morphology and. intracellular localization, Virology 77 (1977) 826-842.
Crossref Google Scholar
[25]

Z. Chen, L. Xie, Q. Lin, Preliminary reports on rice dwarf-like virus disease, Sci. Agric. Sin. 11 (1978) 79-83 (in Chinese with English abstract).
Google Scholar
[26]

F. Sun, Q. Xu, Z. Cheng, Y. Fan, Y. Zhou, Advances in rice black-streaked dwarf disease in China, Jiangsu J. Agric. Sci. 29 (2013) 195-201 (in Chinese with English abstract).
Google Scholar
[27]

Q. Liu, G. Lan, Y. Zhu, K. Chen, C. Shen, X. Zhao, F. Zhang, J. Xu, Z. Li, Genome-wide association study on resistance to rice black-streaked dwarf disease caused by rice black-streaked dwarf virus, Plant Dis. 105 (2021) 607-615.
Crossref Google Scholar
[28]

S.D. Tanksley, S.R. McCouch, Seed banks and molecular maps: unlocking genetic potential from the wild, Science 277 (1997) 1063-1066.
Crossref Google Scholar
[29]

R. Xu, C.Q. Sun, What happened during domestication of wild to cultivated rice, Crop J. 9 (2021) 564-576.
Crossref Google Scholar
[30]

C.Q. Sun, X.K. Wang, Z.C. Li, A. Yoshimura, N. Iwata, Comparison of the genetic diversity of common wild rice (Oryza rufipogon Griff.) and cultivated rice (O. sativa L.) using RFLP markers, Theor. Appl. Genet. 102 (2001) 157-162.
Crossref Google Scholar
[31]

X. Li, L. Tan, Z. Zhu, H. Huang, Y. Liu, S. Hu, C. Sun, Patterns of nucleotide diversity in wild and cultivated rice, Plant Syst. Evol. 281 (2009) 97-106.
Crossref Google Scholar
[32]

Y. Xing, Q. Zhang, Genetic and molecular bases of rice yield, Annu. Rev. Plant. Biol. 61 (2010) 421-442.
Crossref Google Scholar
[33]
S. Yoshida, Fundamentals of Rice Crop Science, International Rice ResearchInstitute, Manila, Philippines, 1981.
[34]

Y. Wang, Y. Pang, K. Chen, L. Zhai, C. Shen, S. Wang, J. Xu, Genetic bases of source-, sink-, and yield-related traits revealed by genome-wide association study in Xian rice, Crop J. 8 (2020) 119-131.
Crossref Google Scholar
[35]

G.M. Li, J.Y. Tang, J.K. Zheng, C.C. Chu, Exploration of rice yield potential: decoding agronomic and physiological traits, Crop J. 9 (2021) 577-589.
Crossref Google Scholar
[36]

G.L. Li, H.L. Zhang, J.J. Li, Z.Y. Zhang, Z.C. Li, Genetic control of panicle architecture in rice, Crop J. 9 (2021) 590-597.
Crossref Google Scholar
[37]
G.S. Khush, Prospects of and approaches to increasing the genetic yieldpotential of rice, in: R.E. Evenson, R.W. Herdt, M. Hossain (Eds.), Rice Researchin Asia: Progress and Priorities, CAB International, Wallingford, UK, and theInternational Rice Research Institute University Press, Manila, Philippines, 1996, pp. 59–71.
[38]

J.L. Xu, S.B. Yu, L.J. Luo, D.B. Zhong, H.W. Mei, Z.K. Li, Molecular dissection of the primary sink size and its related traits in rice, Plant Breed. 123 (2004) 43-50.
Crossref Google Scholar
[39]
J.S. Bao, Nutraceutials properties and health benefits of rice, in: L.L. Yu, R. Tsao, F. Shahidi (Eds.), Cereals and Pulses: Nutraceutical Properties and Health Benefits, Wiley-Blackwell, John Wiley & Sons Inc., Chichester, West Sussex, UK, 2012, pp. 37–64.
Crossref
[40]

T. Oikawa, H. Maeda, T. Oguchi, T. Yamaguchi, N. Tanabe, K. Ebana, M. Yano, T. Ebitani, T. Izawa, The birth of a black rice gene and its local spread by introgression, Plant Cell 27 (2015) 2401-2414.
Crossref Google Scholar
[41]

W.D. Seo, J.Y. Kim, S.I. Han, J.E. Ra, J.H. Lee, Y.C. Song, M.J. Park, H.W. Kang, S.K. Oh, K.C. Jang, Relationship of radical scavenging activities and anthocyanin contents in the 12 colored rice varieties in Korea, J. Korean Soc. Appl. Biol. Chem. 54 (2011) 693-699.
Crossref Google Scholar
[42]

D. Xia, H. Zhou, Y.O. Wang, P.B. Li, P. Fu, B. Wu, Y.Q. He, How rice organs are colored: the genetic basis of anthocyanin biosynthesis in rice, Crop J. 9 (2021) 598-608.
Crossref Google Scholar
[43]

J. Liu, X. Wu, X. Yao, R. Yu, P.J. Larkin, C.M. Liu, Mutations in the DNA demethylase OsROS1 result in a thickened aleurone and improved nutritional value in rice grains, Proc. Natl. Acad. Sci. U. S. A. 115 (2018) 11327-11332.
Crossref Google Scholar
[44]

X. Ye, P. Beyer, Engineering the provitamin A (β-carotene) biosynthetic pathway into (carotenoid-free) rice endosperm, Science 287 (2000) 303-305.
Crossref Google Scholar
[45]

Y. Shao, F. Xu, X. Sun, J. Bao, T. Beta, Identification and quantification of phenolic acids and anthocyanins as antioxidants in bran, embryo and endosperm of white, red and black rice kernels (Oryza sativa L.), J. Cereal Sci. 59 (2014) 211-218.
Crossref Google Scholar
[46]

Z.Y. Gao, S.C. Zhao, W.M. He, L.B. Guo, Y.L. Peng, J.J. Wang, X.S. Guo, X.M. Zhang, Y.C. Rao, C. Zhang, G.J. Dong, F.Y. Zheng, C.X. Lu, J. Hu, Q. Zhou, H.J. Liu, H.Y. Wu, J. Xu, P.X. Ni, D.L. Zeng, D.H. Liu, P. Tian, L.H. Gong, C. Ye, G.H. Zhang, J. Wang, F.K. Tian, D.W. Xue, Y. Liao, L. Zhu, M.S. Chen, J.Y. Li, S.H. Cheng, G.Y. Zhang, J. Wang, Q. Qian, Proc. Natl. Acad. Sci. U. S. A. 110 (2013) 14492-14497.
Crossref
[47]

Q.J. Zhang, T. Zhu, E.H. Xia, C. Shi, Y.L. Liu, Y. Zhang, Y. Liu, W.K. Jiang, Y.J. Zhao, S.Y. Mao, L.P. Zhang, H. Huang, J.Y. Jiao, P.Z. Xu, Q.Y. Yao, F.C. Zeng, L.L. Yang, J. Gao, D.Y. Tao, Y.J. Wang, J.L. Bennetzen, L.Z. Gao, Rapid diversification of five Oryza AA genomes associated with rice adaptation, Proc. Natl. Acad. Sci. U. S. A. 111 (2014) E4954-E4962.
Crossref Google Scholar
[48]

L. Jia, L.J. Xie, S.T. Lao, Q.H. Zhu, L.J. Fan, Rice bioinformatics in the genomic era: status and perspectives, Crop J. 9 (2021) 609-621.
Crossref Google Scholar
[49]

C. Huang, Z. Chen, C.Z. Liang, Oryza pan-genomics: a new foundation for future rice research and improvement, Crop J. 9 (2021) 622-632.
Crossref Google Scholar
[50]

W. Wang, R. Mauleon, Z. Hu, D. Chebotarov, S. Tai, Z. Wu, M. Li, T. Zheng, R.R. Fuentes, F. Zhang, L. Mansueto, D. Copetti, M. Sanciangco, K.C. Palis, J. Xu, C. Sun, B. Fu, H. Zhang, Y. Gao, X. Zhao, F. Shen, X. Cui, H. Yu, Z. Li, M. Chen, J. Detras, Y. Zhou, X. Zhang, Y. Zhao, D. Kudrna, C. Wang, R. Li, B. Jia, J. Lu, X. He, Z. Dong, J. Xu, Y. Li, M. Wang, J. Shi, J. Li, D. Zhang, S. Lee, W. Hu, A. Poliakov, I. Dubchak, V.J. Ulat, F.N. Borja, J.R. Mendoza, J. Ali, J. Li, Q. Gao, Y. Niu, Z. Yue, M.E.B. Naredo, J. Talag, X. Wang, J. Li, X. Fang, Y. Yin, J.C. Glaszmann, J. Zhang, J. Li, R.S. Hamilton, R.A. Wing, J. Ruan, G. Zhang, C. Wei, N. Alexandrov, K.L. McNally, Z. Li, H. Leung, Genomic variation in 3010 diverse accessions of Asian cultivated rice, Nature 557 (2018) 43-49.
Crossref Google Scholar
[51]

Q. Zhao, Q. Feng, H. Lu, Y. Li, A. Wang, Q. Tian, Q. Zhan, Y. Lu, L. Zhang, T. Huang, Y. Wang, D. Fan, Y. Zhao, Z. Wang, C. Zhou, J. Chen, C. Zhu, W. Li, Q. Weng, Q. Xu, Z.X. Wang, X. Wei, B. Han, X. Huang, Pan-genome analysis highlights the extent of genomic variation in cultivated and wild rice, Nat. Genet. 50 (2018) 278-284.
Crossref Google Scholar
[52]

X. Jin, P. Zarco-Tejada, U. Schmidhalter, M.P. Reynolds, M.J. Hawkesford, R.K. Varshney, T. Yang, C. Nie, Z. Li, B. Ming, Y. Xiao, Y. Xie, S. Li, High-throughput estimation of crop traits: a review of ground and aerial phenotyping platforms, IEEE Trans. Geosci. Remote Sens. 9 (2021) 200-231.
Crossref Google Scholar
[53]

H. Feng, Z. Guo, W. Yang, C. Huang, G. Chen, W. Fang, X. Xiong, H. Zhang, G. Wang, L. Xiong, Q. Liu, An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in rice, Sci. Rep. 7 (2017) 4401.
Crossref Google Scholar
[54]

P. Song, J.L. Wang, X.Y. Guo, W.N. Yang, C.J. Zhao, High-throughput phenotyping: breaking through the bottleneck in future crop breeding, Crop J. 9 (2021) 633-645.
Crossref Google Scholar
[55]

Z.K. Li, F. Zhang, Rice breeding in the post-genomics era: from concept to practice, Curr. Opin. Plant Biol. 16 (2013) 261-269.
Crossref Google Scholar
[56]

J. Ali, J.L. Xu, Y.M. Gao, X.F. Ma, L.J. Meng, Y. Wang, Y.L. Pang, Y.S. Guan, M.R. Xu, J.E. Revilleza, N.J. Franje, S.C. Zhou, Z.K. Li, F.A. Feltus, Harnessing the hidden genetic diversity for improving multiple abiotic stress tolerance in rice (Oryza sativa L.), PLoS ONE 12 (2017) e0172515.
Crossref Google Scholar
[57]

F. Zhang, Y.Y. Shi, J. Ali, J.L. Xu, Z.K. Li, Breeding by selective introgression: theory, practices, and lessons learned from rice, Crop J. 9 (2021) 646-657.
Crossref Google Scholar
[58]

G.Q. Zhang, Target chromosome-segment substitution: a way to breeding by design in rice, Crop J. 9 (2021) 658-668.
Crossref Google Scholar
[59]
R.W. Allard, Principles of Plant Breeding, John Willey and Sons, New York, USA, 1960.
[60]

Z.A. Desta, R. Ortiz, Genomic selection: genome-wide prediction in plant improvement, Trends Plant Sci. 19 (2014) 592-601.
Crossref Google Scholar
[61]

Y. Xu, K.X. Ma, Y. Zhao, X. Wang, K. Zhou, G.N. Yu, C. Li, P.C. Li, Z.F. Yang, C.W. Xu, S.Z. Xu, Genomic selection: a breakthrough technology in rice breeding, Crop J. 9 (2021) 669-677.
Crossref Google Scholar
[62]

S. Svitashev, C. Schwartz, B. Lenderts, J.K. Young, A.M. Cigan, Genome editing in maize directed by CRISPR-Cas9 ribonucleoprotein complexes, Nat. Commun. 7 (2016) 13274.
Crossref Google Scholar
[63]

Y. Huang, H.R. Dong, M.Q. Shang, K.J. Wang, CRISPR/Cas systems: the link between functional genes and genetic improvement, Crop J. 9 (2021) 678-687.
Crossref Google Scholar
[64]

C. Wang, Q. Liu, Y. Shen, Y. Hua, J. Wang, J. Lin, M. Wu, T. Sun, Z. Cheng, R. Mercier, K. Wang, Clonal seeds from hybrid rice by simultaneous genome engineering of meiosis and fertilization genes, Nat. Biotechnol. 37 (2019) 283-286.
Crossref Google Scholar
[65]
L.P. Yuan, Breeding of super hybrid rice, in: S. Peng, B. Hardy (Eds.), Rice Research for Food Security and Poverty Alleviation, International Rice Research Institute, Metro Manila, Philippines, 2001, pp. 143–149.
[66]

S.N. Zhang, X.H. Huang, B. Han, Understanding the genetic basis of rice heterosis: advances and prospects, Crop J. 9 (2021) 688-692.
Crossref Google Scholar
[67]

X.H. Huang, S.H. Yang, J.Y. Gong, Y. Zhao, Q. Feng, H. Gong, W.J. Li, Q. Zhan, B. Cheng, J. Xia, B. Han, Genomic analysis of hybrid rice varieties reveals numerous superior alleles that contribute to heterosis, Nat. Commun. 6 (2015) 6258.
Crossref Google Scholar
[68]

C.C. Liao, W. Ya, Z.F. Chen, G. Xie, X.W. Deng, X.Y. Tang, Innovation and development of the third-generation hybrid rice technology, Crop J. 9 (2021) 693-701.
Crossref Google Scholar
[69]

M.B. Espe, J.E. Hill, M. Leinfelder-Miles, L.A. Espino, R. Mutters, D. Mackill, C. van Kessel, B.A. Linquist, Rice yield improvements through plant breeding are offset by inherent yield declines over time, Field Crops Res. 222 (2018) 59-65.
Crossref Google Scholar
[70]

X. Huo, S. Wu, Z. Zhu, F. Liu, Y. Fu, H. Cai, X. Sun, P. Gu, D. Xie, L. Tan, C. Sun, NOG1 increases grain production in rice, Nat. Commun. 8 (2017) e1497.
Crossref Google Scholar
[71]

F. Zhang, C. Wang, M. Li, Y. Cui, Y. Shi, Z. Wu, Z. Hu, W. Wang, J. Xu, Z. Li, The landscape of gene-CDS-haplotype diversity in rice: properties, population organization, footprints of domestication and breeding, and implications for genetic improvement, Mol. Plant 14 (2021) 787-804.
Crossref Google Scholar
[72]

X. Wei, J. Qiu, K. Yong, J. Fan, Q. Zhang, H. Hua, J. Liu, Q. Wang, K.M. Olsen, B. Han, X. Huang, A quantitative genomics map of rice provides genetic insights and guides breeding, Nat. Genet. 53 (2021) 243-253.
Crossref Google Scholar
[73]

J. Gu, X.Y. Yin, T.J. Stomph, P.C. Struik, Can exploiting natural genetic variation in leaf photosynthesis contribute to increasing rice productivity? A simulation analysis, Plant Cell Environ. 37 (2014) 22-34.
Crossref Google Scholar
[74]

Z. Shi, T.G. Chang, G.Y. Chen, Q.F. Song, Y.J. Wang, W. Zhou, M.Y. Wang, M.N. Qu, B.S. Wang, G. Zhua, Dissection of mechanisms for high yield in two elite rice cultivars, Field Crops Res. 241 (2019) 107563.
Crossref Google Scholar
[75]

N. Guo, M. Gu, J. Hu, H. Qu, G. Xu, Rice OsLHT1 functions in leaf-to-panicle nitrogen allocation for grain yield and quality, Front. Plant Sci. 11 (2020) 1150.
Crossref Google Scholar
[76]

B. Hu, W. Wang, S. Ou, J. Tang, H. Li, R. Che, Z. Zhang, X. Chai, H. Wang, Y. Wang, C. Liang, L. Liu, Z. Piao, Q. Deng, K. Deng, C. Xu, Y. Liang, L. Zhang, L. Li, C. Chu, Variation in NRT1.1B contributes to nitrate-use divergence between rice subspecies, Nat. Genet. 47 (2015) 834-838.
Crossref Google Scholar
[77]

W. Yin, Y. Xiao, M. Niu, W. Meng, L. Li, X. Zhang, D. Liu, G. Zhang, Y. Qian, Z. Sun, R. Huang, S. Wang, C.M. Liu, C. Chu, H. Tong, ARGONAUTE2 enhances grain length and salt tolerance by activating BIG GRAIN3 to modulate cytokinin distribution in rice, Plant Cell 32 (2020) 2292-2306.
Crossref Google Scholar
[78]

N. Dong, W. Yin, D. Liu, X. Zhang, Z. Yu, W. Huang, J. Liu, Y. Yang, W. Meng, M. Niu, H. Tong, Regulation of brassinosteroid signaling and salt resistance by SERK2 and potential utilization for crop improvement in rice, Front. Plant Sci. 11 (2020) 621859.
Crossref Google Scholar
[79]

S.A. Atanda, M. Olsen, J. Burgueño, J. Crossa, D. Dzidzienyo, Y. Beyene, M. Gowda, K. Dreher, X. Zhang, B.M. Prasanna, P. Tongoona, E.Y. Danquah, G. Olaoye, K.R. Robbins, Maximizing efficiency of genomic selection in CIMMYT’s tropical maize breeding program, Theor. Appl. Genet. 134 (2021) 279-294.
Crossref Google Scholar
The Crop Journal
Volume 9 Issue 3,
June 2021
Pages 491-496
DOI: 10.1016/j.cj.2021.05.001
Cite this article:
Xu J, Xing Y, Xu Y, et al. Breeding by design for future rice: Genes and genome technologies. The Crop Journal, 2021, 9(3): 491-496. https://doi.org/10.1016/j.cj.2021.05.001

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Published: 08 June 2021
© 2021 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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