Deciphering Root Dynamics and Functional Architecture in Rice for Strategic Redesign of the Hidden Half to Enhance Water and Nutrient Acquisition
Keywords:
propensity score matching, Esophageal cancer risk factors, Synergistic carcinogenesis, Alcohol-tobacco interaction, Case-control study, conservation, GIS, Ex-Situ, Fruits, Germplasm, In- Situ, Tropical, Varieties and Wild species., rotation, Theory of Dynamic Interactions, TDI, Rotational Dynamics, Dynamic Interactions, Rotation Acceleration, Solar System Dynamics, Dynamic Equilibrium, Momentum, Orbiting, Gyroscopic effects., Climate Change, Genome-wide association studies, Genome editing, Rice, Root system architecture, QTLsAbstract
present scenario of climate change on agriculture in the form of groundwater depletion, flood, salinity, several new borne species of pathogens, and insect-pests, brings serious attention to developingrice varities with higher resilience. As most of the above-ground plant parts are already explored to combat these situations, now the time came to improve the yield by reshaping the below-ground plant parts. Designing the root system architecture (RSA) in rice is one of the most imperative traits for such conditions, as modification in the root architecture in rice will be the best strategy to improve wateruptake and nutrient acquisition. Many quantitative trait loci (QTLs) and genesplaying the role for RSA have been recognizedto improve the root parameters and the confirmed QTLs can be introgressed through marker-assisted backcross breeding to develop ideal genotypes. The recent advances in molecular plant breeding including genome editing, mutation study and genetic engineering has shown their potency in this direction.Even though most of the root architectural traits in rice are not document properly, the present review will make comfortable to the future researchers on the aspects of molecular mechansms involved in root traits development viz., genesfunctioning for root traits, their development,physiological role for moisture, and mineral-nutrient uptake under stressful environment.
References
J Abe, S Morita (1994) Growth direction of nodal roots in rice: its variation and contribution to root system formation. 165, 333–337.
L Agrawal, S Gupta, S K Mishra, G Pandey, S Kumar, P S Chauhan, et al. (2016) Elucidation of complex nature of PEG induced drought-stress response in rice root using comparative proteomics approach. 7, 1466.
G B Anis, Y Zhang, H Wang, Z Li, W Wu, L Sun, et al., S Cheng (2018) Genomic regions analysis of seedling root traits and their regulation in responses to phosphorus deficiency tolerance in CSSL population of elite super hybrid rice. 19(5), 1460.
Y Arai-Sanoh, T Takai, S Yoshinaga, H Nakano, M Kojima, H Sakakibara, M Kondo, Y Uga (2014) Deep rooting conferred by DEEPER ROOTING 1 enhances rice yield in paddy fields. 4, 5563.
A G Bengough, B M McKenzie, P D Hallet, T A Valentine (2011) Root elongation, water stress, and mechanical impedance: a review of limiting stresses and beneficial root tip traits. 62, 59–68.
J Bernier, A Kumar, R Venuprasad, D Spaner, G.N. Atlin (2007) A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. 47, 507-516. https://doi.org/10.2135/cropsci2006.07.0495
G Bertin, D Averbeck (2006) Cadmium: Cellular effects, modifications of biomolecules, modulation of DNA repair and genotoxic consequences. 88(11), 1549–1559.
H Bian, Y Xie, F Guo, N Han, S Ma, Z Zeng, J Wang, Y Yang, M Zhu (2012) Distinctive expression patterns and roles of the miRNA393/TIR1 homolog module in regulating flag leaf inclination and primary and crown root growth in rice (Oryza sativa). 196, 149–161.
M Catolos, N Sandhu, S Dixit, N A A Shamsudin, M E B Naredo, K L McNally, A Henry, M G Diaz, A Kumar (2017) Genetic loci governing grain yield and root development under variable rice cultivation conditions. 8, 1763. https://doi.org/10.3389/fpls.2017.01763
M C Champoux, G Wang, D J Sarkarung, J C Mackill, N O'Toole, S R McCouch (1995) Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers. 90, 969-981.
C N Chaubey, D Senadhira, G B Gregorio (1994) Genetic analysis of tolerance for phosphorus deficiency in rice (Oryza sativa L.). 89, 313-317.
S. H. Cho, S. C. Yoo, H. Zhang, D. Pandeya, H. J. Koh, J. Y. Hwang, G. T. Kim, N. C. Paek (2013) The rice narrow leaf2 and narrow leaf3 loci encode WUSCHEL-related homeobox 3A (OsWOX3A) and function in leaf, spikelet, tiller and lateral root development. 198, 1071-1084.
H. W. Chuang, W. Zhang, W. M. Gray (2004) Arabidopsis ETA2, an apparent ortholog of the human cullin-interacting protein CAND1, is required for auxin responses mediated by the SCFTIR1 ubiquitin ligase. 16, 1883-1897.
S. Clemens, M. G. M. Aarts, S. Thomine, N. Verbruggen (2013) Plant science: The key to preventing slow cadmium poisoning. 18(2), 92-99.
Y. Coudert, C. Pe'rin, B. Courtois, N. G. Khong, P. Gantet (2010) Genetic control of root development in rice, the model cereal. 219-226. https://doi.org/10.1016/j.tplants.2010.01.008
B. Courtois, N. Ahmadi, F. Khowaja, A. H. Price, J.-F. Rami, J. Frouin, C. Hamelin, M. Ruiz (2009) Rice root genetic architecture: meta-analysis from a drought QTL database. 2, 115-128.
B. Courtois, L. Shen, S. Petalcorin, R. Carandang, Z. Li, M. P. Levesque, T. Vernoux, J. W. Jung, A. J. Paquette, K. L. Gallagher (2003) Locating QTLs controlling constitutive root traits in the rice population IAC 165 × Co39. 134, 335-345.
H. Cui, M. P. Levesque, T. Vernoux, J. W. Jung, A. J. Paquette, K. L. Gallagher (2007) An evolutionarily conserved mechanism delimiting SHR movement defines a single layer of endodermis in plants. 316, 421-425. https://doi.org/10.1126/science.1139531
T. Desnos (2008) Root branching responses to phosphate and nitrate. 82-87.
A. Dobermann, T. Fairhurst (2000) Manejo del nitrógeno en arroz. 68(58), 1-6.
P. Dokku, K. M. Das, G. J. N. Rao (2013) Pyramiding of four resistance genes of bacterial blight in Tapaswini, an elite rice cultivar, through marker-assisted selection. 192(1), 87-96.
N. K. Fageria, O. P. Morais, V. C. Baligar, R. J. Wright (1988) Response of rice cultivars to phosphorus supply on an oxisol. 16, 195-206.
S. Feng, Y. Shen, J. A. Sullivan, V. Rubio, Y. Xiong, T. P. Sun, X. W. Deng (2004) Arabidopsis CAND1, an unmodified CUL1-interacting protein, is involved in multiple developmental pathways controlled by ubiquitin/proteasome-mediated protein degradation. 16, 1870-1882.
Y Fu, X Zhong, C Lu, K Liang, J Pan, X Hu, R Hu, M Li, Q Ye, Y Liu (2023) Growth, nutrient uptake and transcriptome profiling of rice seedlings in response to mixed provision of ammonium- and nitrate-nitrogen. 284, 153976. https://doi.org/10.1016/j.jplph.2023.153976
R Gamuyao, JH Chin, J Pariasca-Tanaka, P Pesaresi, S Catausan, C Dalid, I Slamet-Loedin, EM Tecson-Mendoza, M Wissuwa, S Heuer (2012) The protein kinase Pstol1 from traditional rice confers tolerance of phosphorus deficiency. 535–539.
L Ge, H Chen, JF Jiang, Y Zhao, ML Xu, YY Xu, KH Tan, ZH Xu, K Chong (2004) Overexpression of OsRAA1 causes pleiotropic phenotypes in transgenic rice plants, including altered leaf, flower, and root development and root response to gravity. 135, 1502–1513.
V Gewin (2010) An underground revolution. 552–553.
VRP Gowda, A Henry, A Yamauchi, H Shashidhar, R Serraj (2011) Root biology and genetic improvement for drought avoidance in rice. 122, 1–13.
BD Gruber, RFH Giehl, S Friedel, N von Wirén (2013) Plasticity of the Arabidopsis root system under nutrient deficiencies. 163, 161–179.
Y Han, H Cao, J Jiang, Y Xu, J Du, X Wang, M Yuan, Z Wang, Z Xu, K Chong (2008) Rice ROOT ARCHITECTURE ASSOCIATED1 binds the proteasome subunit RPT4 and is degraded in a D-box and proteasome-dependent manner. 148, 843–855.
Y He, H Lian, X Yan (2003) Localized supply of phosphorus induces root morphological and architectural changes of rice in split and stratified soil cultures. 248, 247-256.
A Henry, VRP Gowda, RO Torres, KL McNally, R Serraj (2011) Variation in root system architecture and drought response in rice (Oryza sativa): phenotyping of the OryzaSNP panel in rainfed lowland fields. 205–214.
M Holz, M Zarebanadkouki, P Benard, M Hoffmann, M Dubbert (2024) Root and rhizosphere traits for enhanced water and nutrients uptake efficiency in dynamic environments. 15, 1383373.
X Hu, Y Cui, G Dong, A Feng, D Wang, C Zhao, Q Qian (2019) Using CRISPR-Cas9 to generate semi-dwarf rice lines in elite landraces. 9(1), 1-7.
(2006) Mutational analysis of root characters in food plants. 1-165.
A.M. Ismail, S. Heuer, M.J. Thomson, M. Wissuwa (2007) Genetic and genomic approaches to develop rice germplasm for problem soils. 65, 547-570.
M. A. Jalil, A. S. Juraimi, M. R. Yusop, M. A. Hakim, M. K. Uddin (2018) Introgression of root trait genes for drought tolerance to a Malaysia rice variety by marker-assisted backcross breeding. 20(1), 119–126. https://doi.org/10.17957/IJAB/15.0462
H.F. Jia, et al. (2011) The phosphate transporter gene OsPht1;8 is involved in phosphate homeostasis in Rice. 156, 1164–1175.
M.N. Jonathan, Roel Suralta, Y. Akira (2015) QTL associated with lateral root plasticity in response to soil moisture fluctuation stress in rice. 391, 63-75.
N. Kamiya, J. Itoh, A. Morikami, Y. Nagato, M. Matsuoka (2003) The SCARECROW gene's role in asymmetric cell divisions in rice plants. 36, 45–54. https://doi.org/10.1046/j.1365-313X.2003.01856.x
Y.J. Kang, J. Lee, S. Lee, H. Shim, D. Jeong, M.Y. Satyawan, S.H. Lee (2016) Translational genomics for plant breeding with the genome sequence explosion. 14(4), 1057-1069.
S. Kawata, M. Soejima, K. Yamazaki (1978) The superficial root function and yield of hulled rice (in Japanese). 47, 617–628.
M.A. Khan, M. Iqbal, M. Akram, M.W. Ahmad, M. Hassan, M. Jamil (2013) Recent advances in molecular tool development for drought tolerance breeding in cereal crops: a review. 325-334.
A. Kharb, N. Sandhu, S. Jain, R. K. Jain (2015) Linkage mapping of quantitative trait loci for traits promoting aerobic adaptation on chromosome 8 in indica rice (Oryza sativa L.). 6(6), 1–5. https://doi.org/10.5376/rgg.2015.06.0006
Y. Kitomi, N. Kanno, S. Kawai, T. Mizubayashi, S. Fukuoka (2015) QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1. 8(1), 16. https://doi.org/10.1186/s12284-015-0049-2
Y. Kitomi, N. Emari, K. Sawako, A. Tsuyu, I. Kenji, Y. Uga (2018) Fine Mapping of QUICK ROOTING 1 and 2, Quantitative Trait Loci Increasing Root Length in Rice. 8, 727-735.
X. Kong, S. Yu, Y. Xiong, X. Song, L. Nevescanin-Moreno, X. Wei, et al, G. Huang (2024) Root hairs facilitate rice root penetration into compacted layers. 34(10), 2039-2048.
Xiangpei Kong, Maolin Zhang, Ive De Smet, Zhaojun Ding (2014) Designer crops: optimal root system architecture for nutrient acquisition. 32(12), 597-598.
ZC Li, P Mu, CP Li, HL Zhang, ZK Li, YM Gao, XK Wang (2005) QTL mapping of root traits in a doubled haploid population from a cross between upland and lowland japonica rice in three environments. 110, 1244–1252.
J. Li, Y. Xie, A. Dai, L. Liu, Z. Li (2009) Root and shoot traits responses to phosphorus deficiency and QTL analysis at seedling stage using introgression lines of rice. 36(3), 173-183.
Y. Li, M. Ren, Y. Wu, et al (2025) A root system architecture regulator modulates OsPIN2 polar localization in rice. 16. https://doi.org/10.1038/s41467-024-55324-5
Z.K. Li (2003) QTL × environment interactions in rice. 1. Heading date and plant height. 108, 141-153.
H. Liu, Junhui Liu, Jiaolong Liu, Xiang Liu, Jindong Wang, Yamei Zhang, Quanzhi Yan, Guoyou Yu (2020) Genome-Wide Association Study (GWAS) for Mesocotyl Elongation in Rice (Oryza sativa L.) under Multiple Culture Conditions. (49), 1-16.
L. Liu, K. Cui, X. Qi, Y. Wu, J. Huang, S. Peng (2023) Varietal responses of root characteristics to low nitrogen application explain the differing nitrogen uptake and grain yield in two rice varieties. 14, 1244281.
J. Lopez-Bucio, A. Cruz-Ramirez, L. Herrera-Estrella (2003) The role of nutrient availability in regulating root architecture. 6, 280–287.
S. Ma, J. Lu, T. Ren, S. Liu, R. Cong, Z. Lu, et al, X. Li (2025) Integrated soil-crop system management improves rice N uptake and yield by reducing iron plaque formation. 322, 109722.
C.D. Mai, N.T.P. Phung, H.T.M. To, M. Gonin, G.T. Hoang, K.L. Nguyen, et al (2014) Genes controlling root development in rice. 7(30). https://doi.org/10.1186/s12284-014-0030-5
M. Manna, B. Rengasamy, A. K. Sinha (2025) Nutrient and water availability influence rice physiology, root architecture and ionomic balance via auxin signalling. 48(4), 2691-2705.
R. Meister, M. S. Rajani, D. Ruzicka, D. P. Schachtman (2014) Challenges of modifying root traits in crops for agriculture. https://doi.org/10.1016/j.tplants.2014.08.005
S. Morita, T. Suga, K. Yamazaki (1988) The relationship between root length density and yield in rice plants. 438-443.
I.P. Navea, M.S. Dwyanti, J. Park, S. Kim, Huang Lee, X. Koh, J.H. Chin (2017) Identification of quantitative trait loci for panicle length and yield related traits under different water and P application conditions in tropical region in rice (Oryza sativa L.). 213, 37.
G.J. Norton, A.H. Price (2009) Mapping of quantitative trait loci for seminal root morphology and gravitropic response in rice. 166, 229-237.
A. Novoplansky (2002) Developmental plasticity in plants: implications of non-cognitive behavior. 16(3), 177-188.
Y. Oladosu, M.Y. Rafii, C. Samuel, A. Fatai, U. Magaji, I. Kareem, Z.S. Kamarudin, I. Muhammad, K. Kolapo (2019) Drought Resistance in Rice from Conventional to Molecular Breeding: A Review. 20, 3519.
S. Panda, P.K. Majhi, A. Anandan, A. Mahender, S. Veludandi, D. Bastia, S.B. Guttala, S.K. Singh, S. Saha, J. Ali (2021) Proofing Direct-Seeded Rice with Better Root Plasticity and Architecture. 22, 6058. https://doi.org/10.3390/ijms22116058
S. Peng, B.A.M. Bouman, R.M. Visperas, A. Castaneda, L. Nie, H.K. Park (2006) Comparison between aerobic and flooded rice in the tropics: agronomic performance in an eight-season experiment. 96, 252-259.
A. S. Phule, K. M. Barbadikar, S. M. Maganti, P. Seguttuvel, D. Subrahmanyam, M. B. B. Prasad Babu, P. A. Kumar (2019) RNA-seq reveals the involvement of key genes for aerobic adaptation in rice. 9(1), 5235. https://doi.org/10.1038/s41598-019-41703-2
P. Poot, H. Lambers (2008) Shallow-soil endemics: adaptive advantages and constraints of a specialized root-system morphology. 178, 371-381.
J.A. Postma, et al. (2014) The optimal lateral root branching density for maize depends on nitrogen and phosphorus availability. 166, 590–602.
AH Price, AD Tomos (1997) Genetic dissection of root growth in rice. II Mapping quantitative trait loci using molecular markers. 95, 143–152.
AH Price, J Townend, MP Jones, A Audebert, B Courtois (2002) Mapping QTLs associated with drought avoidance in upland rice grown in the Philippines and West Africa. 48, 683-695.
J. Puiga, P. Germain, Emmanuel Guiderdoni, Pascal Gantet (2012) Regulation of Shoot and Root Development through Mutual Signaling. 5(5), 974–983.
Qun S, JH Wang, BQ Sun (2007) Advances on seed vigor physiological and genetic mechanisms. 6, 1060-1066.
AR Rabello, CM Guimaraes, PHN Rangel, FR Silva, D Seixas, E Souza, ACM Brasileiro, CR Spehar, ME Ferreira, M Mehta (2008) Identification of drought responsive genes in roots of upland rice (Oryza sativa L). 9, 485–491.
A Rasheed, U.H. Muhammad, A Muhammad, B Maria, F Sheng, Ziming Liu, Huijie (2020) A critical review on the improvement of drought stress tolerance in rice (Oryza sativa L.). 48(4), 1756-1788.
MC Rebolledo, D Luquet, B Courtois, A Henry, JC Soulié, L Rouan (2013) Can early vigour occur in combination with drought tolerance and efficient water use in rice genotypes?. 40, 582-594.
J Rebouillat, A Dievart, JL Verdeil, J Escoute, G Giese, JC Breitler, P Gantet, S Espeout, E Guiderdoni, C Pe'rin (2009) Molecular genetics of rice root development. 2, 15–34.
N Sandhu, A Singh, S Dixit, MTC Cruz, PC Maturan, RK Jain (2014) Identification and mapping of stable QTL with main and epistasis effect on rice grain yield under upland drought stress. 15, 63.
N Sandhu, S Jain, A Kumar, BS Mehla, R Jain (2013) Genetic variation, linkage mapping of QTL and correlation studies for yield, root, and agronomic traits for aerobic adaptation. 14, 104-119. https://doi.org/10.1186/1471-2156-14-104
N. Sandhu, R.S., Sushil V.K., P. Singh, K. Sinha, Santosh S.P., G. Singh, P. Surya Kant, Y. Madhav, K.V. Ram Baran, Rajeev, K. Arvind (2019) Deciphering the genetic basis of root morphology, nutrient uptake, yield, and yield-related traits in rice under dry direct-seeded cultivation systems. 9(1), 1-16.
H. M. Seo, Jung Y., Song S., Kim Y., Kwon T., D. H. Kim, Nam J. (2008) Increased expression of OsPT1, a high-affinity phosphate transporter, enhances phosphate acquisition in rice. 30(10), 1833-1838.
R. Serraj, K. L. McNally, I. Slamet-Loedin, A. Kohli, S. M. Haefele, G. Atlin, A. Kumar (2011) Drought resistance improvement in rice: an integrated genetic and resource management strategy. 14, 1-14.
A. Shimizu, K. Kato, A. Komatsu, K. Motomura, H. Ikehashi (2008) Genetic analysis of root elongation induced by phosphorus deficiency in rice (Oryza sativa L.): Fine QTL mapping and multivariate analysis of related traits. 117, 987-996.
A. Shimizu, S. Yanagihara, S. Kawasaki, H. Ikehashi (2004) Phosphorus deficiency-induced root elongation and its QTL in rice (Oryza sativa L.). 109, 1361-1368.
J. H. Shin, D. H. Jeong, M. C. Park, G. An (2005) Characterization and transcriptional expression of the alpha -expansin gene family in rice. 20, 210-218.
N. H. Shin, J. H. Han, S. Jang, K. Song, H. J. Koh, J. H. Lee, J. H. Chin (2020) Early vigor of a pyramiding line containing two quantitative trait loci, phosphorus uptake 1 (Pup1) and anaerobic germination 1 (ag1) in rice (O. sativa L.). 10(10), 453.
A. K. Shukla, R. R. Singh, T. Mishra, K. M. Tripathi, S. Mishra, D. Kumar (2024) Optimizing nutrient uptake in rice crops through integrated organic manure application: A comprehensive analysis of grain and straw composition. 10(1), 167-174.
A. K. Singh, V. Chinnusamy (2008) Enhancing rice productivity in water stressed environments: perspectives for genetic improvement and management. 233-257.
A. Singh (2012) Molecular breeding for the development of multiple disease resistance in Basmati rice. pls029.
K. A. Steele, A. H. Price, J. R. Witcombe, R. Shrestha, B. N. Singh, J. M. Gibbons, D. S. Virk (2013) QTLs associated with root traits increase yield in upland rice when transferred through marker-assisted selection. 126(1), 101-108.
S. R. Subedi, K. S. Nitika, Vikas S., Pallavi K., Santosh S. P., G. Singh, P. Surya Kant, Y. Madhav, K. V. Ram Baran, Rajeev K., Arvind K. (2019) Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition. 20, 471.
L. Tang, B. G. Mao, Y. K. Li, Q. M. Lv, L. P. Zhang, C. Y. Chen, H. J. He, W. P. Wang, X. F. Zeng, Y. Shao, Y. L. Pan, Y. Y. Hu, Y. Peng, Q. Fu, H. Q. Li, S. T. Xia, B. R. Zhao (2017) Knockout of OsNramp5 using the CRISPR/Cas9 system produces low Cd-accumulating indica rice without compromising yield. 7, 14438.
Y. Uga, E. Hanzawa, S. Nagai, K. Sasaki, M. Yano, T. Sato (2012) Identification of qSOR1, a major rice QTL involved in soil-surface rooting in paddy fields. 124, 75-86.
Y. Uga, Y. Kitomi, S. Ishikawa, M. Yano (2015) Genetic improvement for root growth angle to enhance crop production. 65, 111-119.
Y. Uga, K. Okuno, M. Yano (2011) Dro1, a major QTL involved in deep rooting of rice under upland field conditions. 62, 2485-2494. https://doi.org/10.1093/jxb/erq429
Y. Uga, K. Sugimoto, S. Ogawa, J. Rane, M. Ishitani, N. Hara, Y. Kitomi, Y. Inukai, K. Ono, N. Kanno, H. Inoue, T. Takehisa, R. Motoyama, Y. Nagamura, J. Wu, T. Matsumoto, T. Takai, K. Okuno, M. Yano (2013) Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions. 45, 1097-1102.
Y. Uga, E. Yamamoto, N. Kanno, S. Kawai, T. Mizubayashi, S. Fukuoka (2013) A major QTL controlling deep rooting on rice chromosome 4. 3, 3040.
Y. Uga (2021) Challenges to design-oriented breeding of root system architecture adapted to climate change. 71(1), 3-12.
Y. Uga, E. Yamamoto, N. Kanno, S. Kawai, T. Mizubayashi, S. Fukuoka (2015) A QTL for root growth angle on rice chromosome 7 is involved in the genetic pathway of DEEPER ROOTING 1. 8(1), 8. https://doi.org/10.1186/s12284-015-0044-7
Y. Uga, K. Okuno, M. Yano (2010) Fine mapping of Sta1, a quantitative trait locus determining stele transversal area, on rice chromosome 9. 26, 533-538.
R.K. Varshney, R. Terauchi, S.R. McCouch (2014) Harvesting the promising fruits of genomics: applying genome sequencing technologies to crop breeding. 12(6), e1001883.
R. Venuprasad, C. O. Dalid, M. Del Valle, M. E. Bool, D. Zhao, M. Espiritu, M. T. Sta Cruz, M. Amante, A. Kumar, G. N. Atlin (2009) Identification and characterization of large-effect quantitative trait loci (QTL) for grain yield under lowland drought stress in rice using bulk-segregant analysis (BSA). 120(1), 177–190. https://doi.org/10.1007/s00122-009-1168-1
X.F. Wang, F.F. He, X.X. Ma, C.Z. Mao, C. Hodgman, C.G. Lu, P. Wu (2011) OsCAND1 is required for crown root emergence in rice. 4, 289–299.
S. Wang, Y. Xu, Z. Li, S.M. Zhang, K.O. Lim, C. Lee, Q. Li, A. Qian, de Jiang, Y. Qi (2014) OsMOGS is required for N-glycan formation and auxin-mediated root development in rice (Oryza sativa L.). 632-645.
P. J. White, A. G. Bengough, I. J. Bingham, T. S. George, A. J. Karley, T. A. Valentine (2009) Induced mutations affecting root architecture and mineral acquisition in barley. 338-340.
M. Wissuwa, N. Ae (2001) Further characterization of two QTLs that increase phosphorus uptake of rice (Oryza sativa L.) under phosphorus deficiency. 237, 275-286.
M. Wissuwa, J. Wegner, N. Ae, M. Yano (2002) Substitution mapping of Pup1: a major QTL increasing phosphorus uptake of rice from a phosphorus-deficient soil. 105(6), 890-897.
M. Wissuwa, M. Yano, N. Ae (1998) Mapping of QTLs for phosphorus-deficiency tolerance in rice (Oryza sativa L.). 97, 777-783.
A. Dobermann, T. Fairhurst (2000) Phosphorus deficiency. 60-71.
P. Wu, J.J. Ni (2000) Detection of the quantitative trait loci with AFLP and RFLP markers for phosphorus uptake and use efficiency in rice. 42, 229-233.
W. Wu, S Cheng (2014) Root genetic research, an opportunity and challenge to rice improvement. 165, 111–124.
P. Yang, CL Chen, GX Zou, ZQ Peng, YS Wu, YP Huang (2015) Research progress in relevant theories of increasing breeding level of direct-seeding rice. 27, 33-35.
J. Yang, S Kai, L. Dongxiu, L. Lixin, Y. Yongzhu, M. Ying, G. Guili, H. Hong, C. Hui, Z. Zhiqiang, G. Tao (2019) Identification of stable QTLs and candidate genes involved in anaerobic germination tolerance in rice via high-density genetic mapping and RNA-Seq. 20(355), 1-15.
ZH Zhang, XS Qu, S Wan, LH Chen, YG Zhu (2004) Comparison of QTL controlling seedling vigour under different temperature conditions using recombinant inbred lines in rice (Oryza sativa). 95, 423-429.
J. Zhang, H. G. Zheng, Aarti Pantuwan, T. T. Nguyen, J. N. Tripathy, A. K. Sarial, Robin S., R. C. Babu, B. D. Nguyen, S. Sarkarung, A. Blum, H. T. Nguyen (2001) Locating genomic regions associated with components of drought resistance in rice: Comparative mapping within and across species. (1), 19-29. https://doi.org/10.1007/s001220000534
Y. Zhao, S. Cheng, Y Song, Y Huang, S Zhou, X Liu, DX Zhou (2015) The interaction between rice ERF3 and WOX11 promotes crown root development by regulating gene expression involved in cytokinin signaling. 2469-2483.
L.H. Zhu, D.B. Zhong, J.L. Xu, S.B. Yu, Z.K. Li (2008) Differential expression of lodging resistance related QTLs in rice (Oryza sativa L.). 175, 898-905.
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