Positive interactions of major-effect QTLs with genetic background that enhances rice yield under drought
To improve the grain yield of the lowland-adapted popular rice variety Samba Mahsuri under reproductive-stage drought (RS) and to understand the interactions between drought QTLs, two mapping populations were developed using marker-assisted selection (MAS) and marker-assisted recurrent selection (MA...
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| Published in: | Scientific reports Vol. 8; no. 1; pp. 1626 - 13 |
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| Abstract | To improve the grain yield of the lowland-adapted popular rice variety Samba Mahsuri under reproductive-stage drought (RS) and to understand the interactions between drought QTLs, two mapping populations were developed using marker-assisted selection (MAS) and marker-assisted recurrent selection (MARS). The mean grain yield of pyramided lines (PLs) with
q
DTY
2.2
+
q
DTY
4.1
in MAS is significantly higher under RS and irrigated control than lines with single QTLs. Among MARS PLs, lines with four
qDTYs
(
qDTY
1.1
+
qDTY
2.1
+
qDTY
3.1
+
qDTY
11.1
) and two QTLs (
qDTY
1.1
+
qDTY
11.1
) yielded higher than PLs with other
qDTY
combinations. The selected PLs showed a yield advantage of 0.3–2.0 t ha
−1
under RS. An allelic profile of MAS PLs having same
qDTY
combination but with different yields under drought was studied. Hierarchical clustering grouped together the selected lines with high yield under drought. Epistasis test showed the interaction of
qDTY
4.1
and
qDTY
9.1
loci with
qDTY
7.1
significantly increased yield under drought and all the lines with higher yield under drought possessed the conserved region of
qDTY
7.1
on chromosome 7. The positive interactions among QTLs, effectiveness of QTLs in different backgrounds, introgression of
DTY
QTLs together with resistance to biotic stresses shall help enhance grain yield under RS. |
|---|---|
| AbstractList | To improve the grain yield of the lowland-adapted popular rice variety Samba Mahsuri under reproductive-stage drought (RS) and to understand the interactions between drought QTLs, two mapping populations were developed using marker-assisted selection (MAS) and marker-assisted recurrent selection (MARS). The mean grain yield of pyramided lines (PLs) with qDTY2.2 + qDTY4.1 in MAS is significantly higher under RS and irrigated control than lines with single QTLs. Among MARS PLs, lines with four qDTYs (qDTY1.1 + qDTY2.1 + qDTY3.1 + qDTY11.1) and two QTLs (qDTY1.1 + qDTY11.1) yielded higher than PLs with other qDTY combinations. The selected PLs showed a yield advantage of 0.3–2.0 t ha−1 under RS. An allelic profile of MAS PLs having same qDTY combination but with different yields under drought was studied. Hierarchical clustering grouped together the selected lines with high yield under drought. Epistasis test showed the interaction of qDTY4.1 and qDTY9.1 loci with qDTY7.1 significantly increased yield under drought and all the lines with higher yield under drought possessed the conserved region of qDTY7.1 on chromosome 7. The positive interactions among QTLs, effectiveness of QTLs in different backgrounds, introgression of DTY QTLs together with resistance to biotic stresses shall help enhance grain yield under RS. To improve the grain yield of the lowland-adapted popular rice variety Samba Mahsuri under reproductive-stage drought (RS) and to understand the interactions between drought QTLs, two mapping populations were developed using marker-assisted selection (MAS) and marker-assisted recurrent selection (MARS). The mean grain yield of pyramided lines (PLs) with qDTY 2.2 + qDTY 4.1 in MAS is significantly higher under RS and irrigated control than lines with single QTLs. Among MARS PLs, lines with four qDTYs (qDTY 1.1 + qDTY 2.1 + qDTY 3.1 + qDTY 11.1 ) and two QTLs (qDTY 1.1 + qDTY 11.1 ) yielded higher than PLs with other qDTY combinations. The selected PLs showed a yield advantage of 0.3-2.0 t ha-1 under RS. An allelic profile of MAS PLs having same qDTY combination but with different yields under drought was studied. Hierarchical clustering grouped together the selected lines with high yield under drought. Epistasis test showed the interaction of qDTY 4.1 and qDTY 9.1 loci with qDTY 7.1 significantly increased yield under drought and all the lines with higher yield under drought possessed the conserved region of qDTY 7.1 on chromosome 7. The positive interactions among QTLs, effectiveness of QTLs in different backgrounds, introgression of DTY QTLs together with resistance to biotic stresses shall help enhance grain yield under RS. To improve the grain yield of the lowland-adapted popular rice variety Samba Mahsuri under reproductive-stage drought (RS) and to understand the interactions between drought QTLs, two mapping populations were developed using marker-assisted selection (MAS) and marker-assisted recurrent selection (MARS). The mean grain yield of pyramided lines (PLs) with q DTY 2.2 + q DTY 4.1 in MAS is significantly higher under RS and irrigated control than lines with single QTLs. Among MARS PLs, lines with four qDTYs ( qDTY 1.1 + qDTY 2.1 + qDTY 3.1 + qDTY 11.1 ) and two QTLs ( qDTY 1.1 + qDTY 11.1 ) yielded higher than PLs with other qDTY combinations. The selected PLs showed a yield advantage of 0.3–2.0 t ha −1 under RS. An allelic profile of MAS PLs having same qDTY combination but with different yields under drought was studied. Hierarchical clustering grouped together the selected lines with high yield under drought. Epistasis test showed the interaction of qDTY 4.1 and qDTY 9.1 loci with qDTY 7.1 significantly increased yield under drought and all the lines with higher yield under drought possessed the conserved region of qDTY 7.1 on chromosome 7. The positive interactions among QTLs, effectiveness of QTLs in different backgrounds, introgression of DTY QTLs together with resistance to biotic stresses shall help enhance grain yield under RS. To improve the grain yield of the lowland-adapted popular rice variety Samba Mahsuri under reproductive-stage drought (RS) and to understand the interactions between drought QTLs, two mapping populations were developed using marker-assisted selection (MAS) and marker-assisted recurrent selection (MARS). The mean grain yield of pyramided lines (PLs) with qDTY + qDTY in MAS is significantly higher under RS and irrigated control than lines with single QTLs. Among MARS PLs, lines with four qDTYs (qDTY + qDTY + qDTY + qDTY ) and two QTLs (qDTY + qDTY ) yielded higher than PLs with other qDTY combinations. The selected PLs showed a yield advantage of 0.3-2.0 t ha under RS. An allelic profile of MAS PLs having same qDTY combination but with different yields under drought was studied. Hierarchical clustering grouped together the selected lines with high yield under drought. Epistasis test showed the interaction of qDTY and qDTY loci with qDTY significantly increased yield under drought and all the lines with higher yield under drought possessed the conserved region of qDTY on chromosome 7. The positive interactions among QTLs, effectiveness of QTLs in different backgrounds, introgression of DTY QTLs together with resistance to biotic stresses shall help enhance grain yield under RS. |
| ArticleNumber | 1626 |
| Author | Sandhu, Nitika Catolos, Margaret Dixit, Shalabh Vikram, Prashant Swamy, B. P. Mallikarjuna Kumar, Arvind Venkateshwarlu, Challa |
| Author_xml | – sequence: 1 givenname: Nitika surname: Sandhu fullname: Sandhu, Nitika organization: International Rice Research Institute – sequence: 2 givenname: Shalabh surname: Dixit fullname: Dixit, Shalabh organization: International Rice Research Institute – sequence: 3 givenname: B. P. Mallikarjuna surname: Swamy fullname: Swamy, B. P. Mallikarjuna organization: International Rice Research Institute – sequence: 4 givenname: Prashant orcidid: 0000-0002-3740-6608 surname: Vikram fullname: Vikram, Prashant organization: International Maize and Wheat Improvement Center (CIMMYT) – sequence: 5 givenname: Challa surname: Venkateshwarlu fullname: Venkateshwarlu, Challa organization: International Rice Research Institute – sequence: 6 givenname: Margaret surname: Catolos fullname: Catolos, Margaret organization: International Rice Research Institute – sequence: 7 givenname: Arvind surname: Kumar fullname: Kumar, Arvind email: a.kumar@irri.org organization: International Rice Research Institute |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29374240$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.2135/cropsci1998.0011183X003800020005x 10.1093/genetics/148.3.1353 10.2135/cropsci2014.07.0460 10.1007/s00122-009-1072-8 10.2135/cropsci2006.07.0495 10.1007/s001220050679 10.1007/s10265-014-0628-0 10.1371/journal.pone.0119873 10.1007/s10059-009-0081-4 10.1186/s12284-016-0093-6 10.2135/cropsci2002.2072 10.1016/S1673-8527(07)60006-X 10.1093/jxb/eru363 10.1186/1471-2156-15-16 10.1007/s00122-004-1731-8 10.1016/j.fcr.2012.02.028 10.2135/cropsci2014.09.0646 10.1007/s11103-005-2159-5 10.1007/s00122-010-1296-7 10.1002/9780470650240.ch13 10.1093/jhered/90.2.328 10.3390/agronomy7020027 10.1093/genetics/124.3.743 10.1104/pp.16.00705 10.2135/cropsci1998.0011183X003800050009x 10.1038/srep14799 10.1186/1471-2156-14-12 10.1371/journal.pone.0062795 10.2135/cropsci2007.04.0015IPBS 10.1007/s11032-012-9760-5 10.1007/978-94-017-3674-9_25 10.1093/bioinformatics/btm143 10.2135/cropsci2007.04.0191 10.1038/ng.695 10.1270/jsbbs.62.178 10.1007/s00122-009-1168-1 10.1093/jxb/eru413 10.1081/STA-120013008 10.1007/s10681-015-1590-1 10.1016/j.fcr.2008.02.007 10.1093/nar/8.19.4321 10.1007/s00122-012-1823-9 10.1007/s001220051476 10.1186/1471-2156-15-63 10.21273/JASHS.123.3.388 10.1016/j.fcr.2013.01.019 10.1093/jxb/erl214 10.1016/j.fcr.2014.01.004 10.1186/1471-2156-14-104 |
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| References | VikramPqDTY1.1, Drought susceptibility of modern rice varieties: an effect of linkage of drought tolerance with undesirable traitsNat. Sci. Rep.20155147992015NatSR...514799V1:CAS:528:DC%2BC2MXhs1KksrvK10.1038/srep14799 BeyeneYGenetic gains in grain yield through genomic selection in eight bi-parental maize populations under drought stressCrop Sci.20155515416310.2135/cropsci2014.07.0460 SemagnKQuantitative trait loci mapping and molecular breeding for developing stress resilient maize for sub-Saharan AfricaCrop Sci.201555155 PalanogADGrain yield QTLs with consistent-effect under reproductive-stage drought stress in riceField Crops Res.2014161465410.1016/j.fcr.2014.01.004 Bernardo, R. Breeding for Quantitative Traits in Plants. Stemma Press (Woodbury, M. N., 2002). Ragot, M., Gay, G., Muller, J. P. & Durovray, J. Efficient selection for the adaptation to the environment through QTL mapping and manipulation in maize. (eds Ribaut, J. M. & Poland, D.) Molecular approaches for the genetic improvement of cereals for stable production in water-limited environments. Mexico, DF: CIMMYT. 128–130 (2000). LiJXAnalyzing quantitative trait loci for yield using a vegetatively replicated F2 population from a cross between the parents of an elite rice hybridTheor. App. Genet.20001012482541:CAS:528:DC%2BD3cXlvVyksbk%3D10.1007/s001220051476 WeyhrichRALamkeyKRHallauerARResponses to seven methods of recurrent selection in the BS11 maize populationCrop Sci.19983830832110.2135/cropsci1998.0011183X003800020005x BeyeneYPerformance and grain yield stability of maize populations developed using marker-assisted recurrent selection and pedigree selection proceduresEuphytica20162082852971:CAS:528:DC%2BC2MXhvVegtb7L10.1007/s10681-015-1590-127397932 DingXLSunDZZhangYXChengXNWanJMQTL analysis for resistance to rice stripe disease using backcross inbred linesRice Genetics Newsletter2004216062 YoshimuraATakano-KaiNAnnoCLinkage mapping of genes for short panicle and awn in riceRice Genetics Newsletter2004211719 GhimireKHIdentification and mapping of a QTL (qDTY11) with a consistent effect on grain yield under droughtField Crops Res.2012131889610.1016/j.fcr.2012.02.028 BernierJKumarARamaiahVSpanerDAtlinGAlarge-effect QTL for grain yield under reproductive-stage drought stress in upland riceCrop Sci.200747250751610.2135/cropsci2006.07.0495 ShamsudinNAAPyramiding of drought yield QTLs into a high quality Malaysian rice cultivar MRQ74 improves yield under reproductive stage droughtRice2016910.1186/s12284-016-0093-6271649824864745 DixitSFine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severitiesTheor. Appl. Genet.2012125115516910.1007/s00122-012-1823-922361948 KnappSJMarker-assisted selection as a strategy for increasing the probability of selecting superior genotypesCrop Sci.1998381164117410.2135/cropsci1998.0011183X003800050009x LafitteHRPriceAHCourtoisBYield response to water deficit in an upland rice mapping population: associations among traits and genetic markersTheor. Appl. Genet.2004109123712461:STN:280:DC%2BD2crhvFGiug%3D%3D10.1007/s00122-004-1731-815490102 JangLThe inheritance of early heading in the rice variety USSR5J. Genet. Genom.200734465510.1016/S1673-8527(07)60006-X SandhuNTraits and QTLs for development of dry direct seeded rainfed rice varietiesJ. Exp. Bot.2015662252441:CAS:528:DC%2BC2MXisFeju7Y%3D10.1093/jxb/eru41325336682 EathingtonSRCrosbieTMEdwardsMDReiterRSBullJKMolecular markers in a commercial breeding programCrop Sci.200747S154S16310.2135/cropsci2007.04.0015IPBS Kumar, A. et al. Breeding high-yielding drought-tolerant rice: genetic variations and conventional and molecular approaches. J. Exp. Bot. eru 363 (2014). HouMYJiangLWangCMWanJMDetection and analysis of QTLs for low temperature germinability in rice (Oryza sativa L.)Rice Genetics Newsletter2003205255 BovillWDPyramiding QTL increases seedling resistance to crown rot (Fusarium pseudograminearum) of wheat (Triticum aestivum)Theor. Appl. Genet.201012111271361:STN:280:DC%2BC3czjs1SmtQ%3D%3D10.1007/s00122-010-1296-720198470 RobbinsMDStaubJEComparative analysis of marker-assisted and phenotypic selection for yield components in cucumberTheor. Appl. Genet.2009119462163410.1007/s00122-009-1072-819484431 NagaiKTwo novel QTLs regulate internode elongation in deepwater rice during the early vegetative stageBreed Sci.201262217818510.1270/jsbbs.62.178231365293405962 CramerCSWehnerTCFruit yield and yield component means and correlations of four slicing cucumber populations improved through six to ten cycles of recurrent selectionJ. Am. Soc. Hort. Sci.1998123388395 RibautJMRagotMMarker-assisted selection to improve drought adaptation in maize: the backcross approach, perspectives, limitations, and alternativesJ. Exp. Bot.20065835136010.1093/jxb/erl21417158111 VenuprasadRIdentification and characterization of large-effect quantitative trait loci for grain yield under lowland drought stress in rice using bulk-segregant analysisTheor. Appl. Genet.2009120117719010.1007/s00122-009-1168-119841886 SandhuNKumarABridging the Rice Yield Gaps under Drought: QTLs, Genes, and their Use in Breeding ProgramsAgronomy2017722710.3390/agronomy7020027 KhushGSWhat it will take to feed 5.0 billion rice consumers in 2030Plant Mol. Biol.2005591161:CAS:528:DC%2BD2MXhtV2ksbbM10.1007/s11103-005-2159-516217597 LiSWangCZhouLShouHOxygen deficit alleviates phosphate overaccumulation toxicity in OsPHR2 overexpression plantsJournal of plant research201412734334401:CAS:528:DC%2BC2cXnsFWgsbg%3D10.1007/s10265-014-0628-024687599 BegumHGenome-wide association mapping for yield and other agronomic traits in an elite breeding population of tropical rice (Oryza sativa)PLoS ONE2015103e011987310.1371/journal.pone.0119873257854474364887 KumarABernierJVerulkarSLafitteHRAtlinGNBreeding for drought tolerance: direct selection for yield, response to selection and use of drought-tolerant donors in upland and lowland-adapted populationsField Crops Res.200810722123110.1016/j.fcr.2008.02.007 DixitSIncreased drought tolerance and wider adaptability of qDTY12.1 conferred by its interaction with qDTY2.3 and qDTY3.2Mol. Breed.2012301767177910.1007/s11032-012-9760-5 DixitSMultiple major QTL lead to stable yield performance of rice cultivars across varying drought intensitiesBMC Genet.20141510.1186/1471-2156-15-16244911543933981 SandhuNRice root architectural plasticity traits and genetic regions for adaptation to variable cultivation and stress conditionsPlant Physiol.2016171256225761:CAS:528:DC%2BC28Xhsl2nsL%2FM273423114972292 Crosbie, T. M. et al. Plant breeding: past, present, and future. (eds Lamkey, K. R. & Lee, M.) Plant breeding: the Arnel R. Hallauer international symposium. Ames, IA: 350 (Blackwell Publishing, 2006). Perrier, X. & Jacquemoud-Collet, J. P. DARwin software http://darwin.cirad.fr/ (2006). HuangXGenome-wide association studies of 14 agronomic traits in rice landracesNat. Genet.2010429619661:CAS:528:DC%2BC3cXhtlahu7rE10.1038/ng.69520972439 MoreauLCharcossetAHospitalFGallaisAMarker assisted selection efficiency in populations of finite sizeGenetics1998148135313651:STN:280:DyaK1c7pvVymtw%3D%3D95394481460046 Johnson, G. R. Marker assisted selection. (ed. Janick, J.) Plant Breed. Rev. 24(1), 293–310 (Hoboken, N. J.: John Wiley & Sons, 2004). HospitalFMoreauLLacoudreFCharcossetAGallaisAMore on the efficiency of marker-assisted selectionTheor. Appl. Genet.1997951181118910.1007/s001220050679 SwamyBPMGenetic, physiological, and gene expression analyses reveal that multiple QTL enhance yield of rice mega-variety IR64 under droughtPLoS One20138e627952013PLoSO...862795S10.1371/journal.pone.006279523667521 KooSCThe calmodulin-binding transcription factor OsCBT suppresses defense responses to pathogens in riceMolecules and cells20092755635701:CAS:528:DC%2BD1MXmtlWls7Y%3D10.1007/s10059-009-0081-419466605 MishraKKqDTY12.1: a locus with a consistent effect on grain yield under drought in riceBMC Genet.2013141:CAS:528:DC%2BC2cXitFSqtL%2FF10.1186/1471-2156-14-12 YangJZhuJWilliamsRWMapping the genetic architecture of complex traits in experimental populationsBioinformatics200723152715361:CAS:528:DC%2BD2sXosFGjs7k%3D10.1093/bioinformatics/btm14317459962 Van BerlooRGGT: software for the display of graphical genotypesJ. Hered.19999032832910.1093/jhered/90.2.328 International Rice Research Institute (IRRI) Standard Evaluation System for Rice (4th edn) International Rice Research Institute, Manila, the Philippines (1996). Edwards, M. & Johnson, L. RFLPs for rapid recurrent selection. In Analysis of molecular marker data. Joint Plant Breed Symposium Ser Am Soc Hort Sci, CSSA, Madison, WI, 33–40 (1994). XuYCrouchJHMarker-assisted selection in plant breeding: from publications to practiceCrop Sci.20084839140710.2135/cropsci2007.04.0191 KauffmanHEAn improved technique for evaluating resistance of rice varieties to Xanthomonas oryzaePlant Dis. Rep.197357537541 YadawRBA QTL for high grain yield under lowland drought in the background of popular rice variety Sabitri from NepalField Crops Res.201314428128710.1016/j.fcr.2013.01.019 LandeRThompsonREfficiency of marker-assisted selection in the improvement of quantitative traitsGenetics19901247437561:STN:280:DyaK3c7osFWmsA%3D%3D19688751203965 Pandey, S., Bhandari, H. S. & Hardy, B. editors. Economic costs of drought and rice farmers’ coping mechanisms: a cross-country comparative analysis. Int. Rice Res. Inst. (2007). MurrayMGThompsonWFRapid isolation of high molecular weight DNANucleic Acids Res.198084221423510.1093/nar/8.19.4321 Eathington, S. Practical applications of molecular technology in the development of commercial maize hybrids. In: Proceedings of the 60th Annual Corn and Sorghum Seed Research Conferences. Washington, DC: American Seed Trade Association (2005). Charmet, G. et al. Marker assisted recurrent selection for cumulating QTLs for bread-making related traits. In Wheat in a Global Environment (pp. 211–217). Springer Netherlands. SandhuNJainSKumarAMehlaBSJainRGenetic variation, 20116_CR34 20116_CR33 20116_CR32 Y Xu (20116_CR21) 2008; 48 20116_CR31 RA Weyhrich (20116_CR42) 1998; 38 N Sandhu (20116_CR11) 2014; 15 20116_CR37 20116_CR35 20116_CR1 N Sandhu (20116_CR58) 2016; 171 20116_CR2 S Dixit (20116_CR7) 2012; 125 HR Lafitte (20116_CR40) 2004; 109 N Sandhu (20116_CR12) 2015; 66 CS Cramer (20116_CR24) 1998; 123 XL Ding (20116_CR55) 2004; 21 HE Kauffman (20116_CR59) 1973; 57 RB Yadaw (20116_CR9) 2013; 144 S Dixit (20116_CR17) 2014; 15 MY Hou (20116_CR51) 2003; 20 20116_CR41 H Begum (20116_CR15) 2015; 10 MG Murray (20116_CR62) 1980; 8 Y Beyene (20116_CR45) 2015; 55 N Sandhu (20116_CR10) 2013; 14 JX Li (20116_CR53) 2000; 101 P Vikram (20116_CR6) 2015; 5 20116_CR48 SJ Knapp (20116_CR28) 1998; 38 MD Robbins (20116_CR49) 2009; 119 AD Palanog (20116_CR16) 2014; 161 N Sandhu (20116_CR38) 2017; 7 A Yoshimura (20116_CR52) 2004; 21 G Knapp (20116_CR63) 2002; 31 S Dixit (20116_CR22) 2012; 30 R Lande (20116_CR29) 1990; 124 K Nagai (20116_CR19) 2012; 62 L Jang (20116_CR54) 2007; 34 JM Ribaut (20116_CR18) 2006; 58 WD Bovill (20116_CR20) 2010; 121 L Moreau (20116_CR30) 1998; 148 SR Eathington (20116_CR43) 2007; 47 BPM Swamy (20116_CR13) 2013; 8 F Hospital (20116_CR27) 1997; 95 TC Wehner (20116_CR25) 1989; 6 KK Mishra (20116_CR8) 2013; 14 J Yang (20116_CR64) 2007; 23 S Li (20116_CR56) 2014; 127 A Kumar (20116_CR39) 2008; 107 KH Ghimire (20116_CR50) 2012; 131 X Huang (20116_CR14) 2010; 42 Y Beyene (20116_CR46) 2016; 208 20116_CR60 NN Narayanan (20116_CR61) 2002; 42 20116_CR26 NAA Shamsudin (20116_CR23) 2016; 9 R Van Berloo (20116_CR36) 1999; 90 Y Beyene (20116_CR44) 2015; 55 SC Koo (20116_CR57) 2009; 27 GS Khush (20116_CR3) 2005; 59 K Semagn (20116_CR47) 2015; 55 J Bernier (20116_CR4) 2007; 47 R Venuprasad (20116_CR5) 2009; 120 |
| References_xml | – volume: 38 start-page: 308 year: 1998 ident: 20116_CR42 publication-title: Crop Sci. doi: 10.2135/cropsci1998.0011183X003800020005x contributor: fullname: RA Weyhrich – volume: 21 start-page: 17 year: 2004 ident: 20116_CR52 publication-title: Rice Genetics Newsletter contributor: fullname: A Yoshimura – volume: 148 start-page: 1353 year: 1998 ident: 20116_CR30 publication-title: Genetics doi: 10.1093/genetics/148.3.1353 contributor: fullname: L Moreau – ident: 20116_CR1 – volume: 55 start-page: 154 year: 2015 ident: 20116_CR44 publication-title: Crop Sci. doi: 10.2135/cropsci2014.07.0460 contributor: fullname: Y Beyene – volume: 119 start-page: 621 issue: 4 year: 2009 ident: 20116_CR49 publication-title: Theor. Appl. Genet. doi: 10.1007/s00122-009-1072-8 contributor: fullname: MD Robbins – volume: 47 start-page: 507 issue: 2 year: 2007 ident: 20116_CR4 publication-title: Crop Sci. doi: 10.2135/cropsci2006.07.0495 contributor: fullname: J Bernier – volume: 95 start-page: 1181 year: 1997 ident: 20116_CR27 publication-title: Theor. Appl. Genet. doi: 10.1007/s001220050679 contributor: fullname: F Hospital – volume: 20 start-page: 52 year: 2003 ident: 20116_CR51 publication-title: Rice Genetics Newsletter contributor: fullname: MY Hou – volume: 127 start-page: 433 issue: 3 year: 2014 ident: 20116_CR56 publication-title: Journal of plant research doi: 10.1007/s10265-014-0628-0 contributor: fullname: S Li – volume: 10 start-page: e0119873 issue: 3 year: 2015 ident: 20116_CR15 publication-title: PLoS ONE doi: 10.1371/journal.pone.0119873 contributor: fullname: H Begum – volume: 27 start-page: 563 issue: 5 year: 2009 ident: 20116_CR57 publication-title: Molecules and cells doi: 10.1007/s10059-009-0081-4 contributor: fullname: SC Koo – volume: 9 year: 2016 ident: 20116_CR23 publication-title: Rice doi: 10.1186/s12284-016-0093-6 contributor: fullname: NAA Shamsudin – volume: 42 start-page: 2072 issue: 6 year: 2002 ident: 20116_CR61 publication-title: IR50. Crop Sci. doi: 10.2135/cropsci2002.2072 contributor: fullname: NN Narayanan – ident: 20116_CR34 – volume: 34 start-page: 46 year: 2007 ident: 20116_CR54 publication-title: J. Genet. Genom. doi: 10.1016/S1673-8527(07)60006-X contributor: fullname: L Jang – ident: 20116_CR37 doi: 10.1093/jxb/eru363 – volume: 15 year: 2014 ident: 20116_CR17 publication-title: BMC Genet. doi: 10.1186/1471-2156-15-16 contributor: fullname: S Dixit – volume: 109 start-page: 1237 year: 2004 ident: 20116_CR40 publication-title: Theor. Appl. Genet. doi: 10.1007/s00122-004-1731-8 contributor: fullname: HR Lafitte – ident: 20116_CR41 – volume: 131 start-page: 88 year: 2012 ident: 20116_CR50 publication-title: Field Crops Res. doi: 10.1016/j.fcr.2012.02.028 contributor: fullname: KH Ghimire – volume: 55 start-page: 55 issue: 1 year: 2015 ident: 20116_CR47 publication-title: Crop Sci. doi: 10.2135/cropsci2014.09.0646 contributor: fullname: K Semagn – volume: 59 start-page: 1 issue: 1 year: 2005 ident: 20116_CR3 publication-title: Plant Mol. Biol. doi: 10.1007/s11103-005-2159-5 contributor: fullname: GS Khush – volume: 121 start-page: 127 issue: 1 year: 2010 ident: 20116_CR20 publication-title: Theor. Appl. Genet. doi: 10.1007/s00122-010-1296-7 contributor: fullname: WD Bovill – ident: 20116_CR32 doi: 10.1002/9780470650240.ch13 – volume: 90 start-page: 328 year: 1999 ident: 20116_CR36 publication-title: J. Hered. doi: 10.1093/jhered/90.2.328 contributor: fullname: R Van Berloo – volume: 7 start-page: 27 issue: 2 year: 2017 ident: 20116_CR38 publication-title: Agronomy doi: 10.3390/agronomy7020027 contributor: fullname: N Sandhu – volume: 124 start-page: 743 year: 1990 ident: 20116_CR29 publication-title: Genetics doi: 10.1093/genetics/124.3.743 contributor: fullname: R Lande – ident: 20116_CR31 – volume: 171 start-page: 2562 year: 2016 ident: 20116_CR58 publication-title: Plant Physiol. doi: 10.1104/pp.16.00705 contributor: fullname: N Sandhu – volume: 38 start-page: 1164 year: 1998 ident: 20116_CR28 publication-title: Crop Sci. doi: 10.2135/cropsci1998.0011183X003800050009x contributor: fullname: SJ Knapp – ident: 20116_CR35 – volume: 5 start-page: 14799 year: 2015 ident: 20116_CR6 publication-title: Nat. Sci. Rep. doi: 10.1038/srep14799 contributor: fullname: P Vikram – volume: 14 year: 2013 ident: 20116_CR8 publication-title: BMC Genet. doi: 10.1186/1471-2156-14-12 contributor: fullname: KK Mishra – volume: 8 start-page: e62795 year: 2013 ident: 20116_CR13 publication-title: PLoS One doi: 10.1371/journal.pone.0062795 contributor: fullname: BPM Swamy – volume: 47 start-page: S154 year: 2007 ident: 20116_CR43 publication-title: Crop Sci. doi: 10.2135/cropsci2007.04.0015IPBS contributor: fullname: SR Eathington – ident: 20116_CR26 – volume: 30 start-page: 1767 year: 2012 ident: 20116_CR22 publication-title: Mol. Breed. doi: 10.1007/s11032-012-9760-5 contributor: fullname: S Dixit – ident: 20116_CR48 doi: 10.1007/978-94-017-3674-9_25 – volume: 23 start-page: 1527 year: 2007 ident: 20116_CR64 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btm143 contributor: fullname: J Yang – volume: 48 start-page: 391 year: 2008 ident: 20116_CR21 publication-title: Crop Sci. doi: 10.2135/cropsci2007.04.0191 contributor: fullname: Y Xu – volume: 42 start-page: 961 year: 2010 ident: 20116_CR14 publication-title: Nat. Genet. doi: 10.1038/ng.695 contributor: fullname: X Huang – volume: 62 start-page: 178 issue: 2 year: 2012 ident: 20116_CR19 publication-title: Breed Sci. doi: 10.1270/jsbbs.62.178 contributor: fullname: K Nagai – volume: 120 start-page: 177 issue: 1 year: 2009 ident: 20116_CR5 publication-title: Theor. Appl. Genet. doi: 10.1007/s00122-009-1168-1 contributor: fullname: R Venuprasad – volume: 6 start-page: 323 year: 1989 ident: 20116_CR25 publication-title: Plant Breed Rev. contributor: fullname: TC Wehner – ident: 20116_CR2 – volume: 66 start-page: 225 year: 2015 ident: 20116_CR12 publication-title: J. Exp. Bot. doi: 10.1093/jxb/eru413 contributor: fullname: N Sandhu – volume: 21 start-page: 60 year: 2004 ident: 20116_CR55 publication-title: Rice Genetics Newsletter contributor: fullname: XL Ding – volume: 31 start-page: 1499 year: 2002 ident: 20116_CR63 publication-title: Commun. Stat. Theor. Met. doi: 10.1081/STA-120013008 contributor: fullname: G Knapp – volume: 208 start-page: 285 year: 2016 ident: 20116_CR46 publication-title: Euphytica doi: 10.1007/s10681-015-1590-1 contributor: fullname: Y Beyene – volume: 107 start-page: 221 year: 2008 ident: 20116_CR39 publication-title: Field Crops Res. doi: 10.1016/j.fcr.2008.02.007 contributor: fullname: A Kumar – ident: 20116_CR60 – volume: 8 start-page: 4221 year: 1980 ident: 20116_CR62 publication-title: Nucleic Acids Res. doi: 10.1093/nar/8.19.4321 contributor: fullname: MG Murray – volume: 125 start-page: 155 issue: 1 year: 2012 ident: 20116_CR7 publication-title: Theor. Appl. Genet. doi: 10.1007/s00122-012-1823-9 contributor: fullname: S Dixit – volume: 101 start-page: 248 year: 2000 ident: 20116_CR53 publication-title: Theor. App. Genet. doi: 10.1007/s001220051476 contributor: fullname: JX Li – volume: 15 year: 2014 ident: 20116_CR11 publication-title: BMC Genet. doi: 10.1186/1471-2156-15-63 contributor: fullname: N Sandhu – volume: 123 start-page: 388 year: 1998 ident: 20116_CR24 publication-title: J. Am. Soc. Hort. Sci. doi: 10.21273/JASHS.123.3.388 contributor: fullname: CS Cramer – volume: 55 start-page: 154 year: 2015 ident: 20116_CR45 publication-title: Crop Sci. doi: 10.2135/cropsci2014.07.0460 contributor: fullname: Y Beyene – volume: 144 start-page: 281 year: 2013 ident: 20116_CR9 publication-title: Field Crops Res. doi: 10.1016/j.fcr.2013.01.019 contributor: fullname: RB Yadaw – volume: 58 start-page: 351 year: 2006 ident: 20116_CR18 publication-title: J. Exp. Bot. doi: 10.1093/jxb/erl214 contributor: fullname: JM Ribaut – volume: 57 start-page: 537 year: 1973 ident: 20116_CR59 publication-title: Plant Dis. Rep. contributor: fullname: HE Kauffman – volume: 161 start-page: 46 year: 2014 ident: 20116_CR16 publication-title: Field Crops Res. doi: 10.1016/j.fcr.2014.01.004 contributor: fullname: AD Palanog – ident: 20116_CR33 – volume: 14 start-page: 104 year: 2013 ident: 20116_CR10 publication-title: BMC Genet. doi: 10.1186/1471-2156-14-104 contributor: fullname: N Sandhu |
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| SubjectTerms | 45/22 45/29 45/77 631/208/711 631/449/1659 Chromosome 7 Chromosomes Crop yield Drought Droughts Epistasis Epistasis, Genetic Food security Gene Frequency Gene loci Gene mapping Genetic Background Humanities and Social Sciences Marker-assisted selection multidisciplinary Oryza Oryza - genetics Oryza - growth & development Population Quantitative Trait Loci R&D Research & development Rice Science Science (multidisciplinary) |
| Title | Positive interactions of major-effect QTLs with genetic background that enhances rice yield under drought |
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