Skip to main content
Log in

Pyramiding of qDTY1.1 and qDTY3.1 into rice mega-variety Samba Mahsuri-Sub1: physiological performance under water deficit conditions

  • Research Article
  • Published:
Physiology and Molecular Biology of Plants Aims and scope Submit manuscript

Abstract

Water deficit is a crucial factor causing huge loss to rice productivity. The present study aimed to develop a multiple stress tolerant genotype by pyramiding drought tolerant yield QTLs qDTY1.1 and qDTY3.1 into high yielding rice variety Samba Mahsuri Sub-1(SMS) through marker assisted pyramiding. To achieve this six introgression lines of SMS carrying qDTY1.1 (SAB) were crossed with DRR-50, an Essentially Derived Variety of SMS carrying qDTY3.1. The SAB lines are taller than SMS due to tight linkage between qDTY1.1 and wild type SD-1. Therefore, F2 generation of crosses were screened for recombinants between SD-1 and qDTY1.1. Phenotyping of 1530 F2 plants representing three F2 populations from 35 F1 hybrids, identified 305 dwarf plants. Three dwarf F2 plants along with three others carrying qDTY1.1 and qDTY3.1 were forwarded to F3 generation. From the six F3 (SABD) lines fourteen pyramided progenies were selected and forward to F4 generation. The six SABD F3 lines SABD-7, SABD-8, SABD-9, SABD-76, SABD-79 and SABD-80 along with parents were evaluated under moisture stress (MS) for various physiological parameters. Chlorophyll and relative water content were more, while canopy temperature and malonaldehyde (MDA) content were lesser in SABD lines compared to parents indicating tolerance under MS. Variance due to genotypes was highly significant for all the yield related traits except test weight. Based on seed morphology, agronomic characters and physiological parameters six superior lines SABD-9-3, SABD-9-2, SABD-9-6, SABD-9-7, SABD-76-2 and SABD-76-6 performing better under MS were identified, which could be released after multi-location evaluation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data availability

The data that support the findings of this study are included as supplementary data.

References

  • Arnon DI (1949) Copper enzymes in isolated chloroplasts, polyphenoxidase in Beta vulgaris. Plant Physiol 24:1–15

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ashraf M (2010) Inducing drought tolerance in plants: recent advances. Biotechnol Adv 28:169–183

    Article  CAS  PubMed  Google Scholar 

  • Bernier J, Kumar A, Ramaiah V, Spaner D, Atlin G (2007) A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. Crop Sci 47(2):507–516

    Article  Google Scholar 

  • Bhandari A, Jayaswal P, Yadav N, Singh R, Singh Y, Singh B, Singh N, Singh S, Sevanthi A, Rai V, Verulkar S (2019) Genomics-assisted backcross breeding for infusing climate resilience in high-yielding green revolution varieties of rice. Indian J Genet 79(1):Suppl.160–170

  • Bhardwaj A, Devi P, Chaudhary S, Rani A, Jha UC, Kumar S, Bindumadhava H, Vara Prasad PV, Sharma KD, Siddique KHM, Nayyar H (2022) ‘Omics’ approaches in developing combined drought and heat tolerance in food crops. Plant Cell Rep 41:699–739

    Article  CAS  PubMed  Google Scholar 

  • Bhutia KL, Nongbri EL, Sharma TO, Rai M, Tyagi W (2021) A 1.84-Mb region on rice chromosome 2 carrying SPL4, SPL5 and MLO8 genes is associated with higher yield under phosphorus-deficient acidic soil. J Appl Genet 62(2):207–222

    Article  CAS  PubMed  Google Scholar 

  • Blum A (1988) Plant breeding for stress environments. Genotypes expressing relatively delayed leaf rolling might have relatively better access to soil water or better osmotic adjustment. CRC Press, Boca Raton, p 222

    Google Scholar 

  • Cha-Um S, Yooyongwech S, Supaibulwatana K (2010) Water deficit stress in the reproductive stage of four indica rice (Oryza sativa L.) genotypes. Pak J Bot 42(5):3387–3398

    Google Scholar 

  • Chin JH, Lu X, Haefele SM, Gamuyao R, Ismail A, Wissuwa M, Heuer S (2010) Development and application of gene-based markers for the major rice QTL phosphorus uptake 1. Theor Appl Genet 120(6):1073–1086

    Article  CAS  PubMed  Google Scholar 

  • Dixit S, Swamy BM, Vikram P, Ahmed HU, Sta Cruz MT, Amante M, Atri D, Leung H, Kumar A (2012) Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities. Theor Appl Genet 125:155–169

    Article  PubMed  Google Scholar 

  • Dixit S, Huang BE, Sta Cruz MT, Maturan PT, Ontoy JCE, Kumar A (2014) QTLs for tolerance of drought and breeding for tolerance of abiotic and biotic stress: an integrated approach. PLoS ONE 9(10):e109574

    Article  PubMed  PubMed Central  Google Scholar 

  • Guo LB, Ye GY (2014) Use of major quantitative trait loci to improve grain yield of rice. Rice Sci 21(2):65–82

    Article  Google Scholar 

  • Hansen JM, Go YM, Jones DP (2006) Nuclear and mitochondrial compartmentation of oxidative stress and redox signaling. Annu Rev Pharmacol Toxicol 46:215–234

    Article  CAS  PubMed  Google Scholar 

  • Hasan MM, Rafii MY, Ismail MR, Mahmood M, Rahim HA, Alam MA, Ashkani S, Malek MA, Latif MA (2015) Marker-assisted backcrossing: a useful method for rice improvement. Biotechnol Biotechnol Equip 29(2):237–254

    Article  PubMed  PubMed Central  Google Scholar 

  • Heath RL, Packer L (1968) Photoperoxidation in isolated chloroplasts: I. Kinetics and stoichiometry of fatty acid peroxidation. Arch Biochem NY 125(1):189–198

    Article  CAS  Google Scholar 

  • Heredia MC, Kant J, Prodhan MA, Dixit S, Wissuwa M (2022) Breeding rice for a changing climate by improving adaptations to water saving technologies. Theor Appl Genet 1:1–7

    Google Scholar 

  • Hiscox JD, Israelstam GF (1979) A method for the extraction of chlorophyll from leaf tissue without maceration. Can J Bot 57(12):1332–1334

    Article  CAS  Google Scholar 

  • Iturbe-Ormaetxe I, Escuredo PR, Arrese-Igor C, Becana M (1998) Oxidative damage in pea plants exposed to water deficit or paraquat. Plant Physiol 116(1):173–181

    Article  CAS  PubMed Central  Google Scholar 

  • Jiang M, Guo K, Wang J, Wu Y, Shen X, Huang L (2023) Current status and prospects of rice canopy temperature research. Food Energy Secur 12(2):e424

    Article  Google Scholar 

  • Kadioglu A, Terzi R (2007) A dehydration avoidance mechanism: leaf rolling. Bot Rev 73(4):290–302

    Article  Google Scholar 

  • Kitilu MJF, Nyomora AS, Charles J (2019) Moisture requirement and water productivity of selected rainfed rice varieties grown under controlled water environment in Ifakara, Tanzania. J Cereals Oilseeds 10(1):1–15

    Article  CAS  Google Scholar 

  • Lugojan C, Ciulca S (2011) Evaluation of relative water content in winter wheat. J Hortic for Biotechnol 15(2):173–177

    Google Scholar 

  • Luo LJ (2010) Breeding for water-saving and drought-resistance rice (WDR) in China. J Exp Bot 61(13):3509–3517

    Article  CAS  PubMed  Google Scholar 

  • Melandri G, Prashar A, McCouch SR, Van Der Linden G, Jones HG, Kadam N, Jagadish K, Bouwmeester H, Ruyter-Spira C (2020) Association mapping and genetic dissection of drought-induced canopy temperature differences in rice. J Exp Bot 71(4):1614–1627

    Article  CAS  PubMed  Google Scholar 

  • Melandri G, Monteverde E, Riewe D, AbdElgawad H, McCouch SR, Bouwmeester H (2022) Can biochemical traits bridge the gap between genomics and plant performance? A study in rice under drought. Plant Physiol 189(2):1139–1152

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Miklas PN, Kelly JD, Beebe SE, Blair MW (2006) Common bean breeding for resistance against biotic and abiotic stresses: from classical to MAS breeding. Euphytica 147(1):105–131

    Article  CAS  Google Scholar 

  • Mir RR, Zaman-Allah M, Sreenivasulu N, Trethowan R, Varshney RK (2012) Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops. Theor Appl Genet 125(4):625–645

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mohd Ikmal A, Nurasyikin Z, Kumar A, Noraziyah AAS (2018) Evaluation of morpho-physiological traits of MRQ74 pyramided lines with drought yield QTLs. Euphytica 214(6):1–14

    Article  Google Scholar 

  • Møller IM, Jensen PE, Hansson A (2007) Oxidative modifications to cellular components in plants. Annu Rev Plant Biol 58:459–481

    Article  PubMed  Google Scholar 

  • Nikolaeva MK, Maevskaya SN, Shugaev AG, Bukhov NG (2010) Effect of drought on chlorophyll content and antioxidant enzyme activities in leaves of three wheat cultivars varying in productivity. Russ J Plant Physiol 57(1):87–95

    Article  CAS  Google Scholar 

  • Pandey HC, Baig MJ, Chandra A, Bhatt RK (2010) Drought stress induced changes in lipid peroxidation and antioxidant system in genus Avena. J Environ Biol 31(4):435–440

    CAS  PubMed  Google Scholar 

  • Patto MC, Skiba B, Pang ECK, Ochatt SJ, Lambein F, Rubiales D (2006) Lathyrus improvement for resistance against biotic and abiotic stresses: from classical breeding to marker assisted selection. Euphytica 147(1):133–147

    Article  Google Scholar 

  • Raj KJ, Sanghamitra N (2010) Gene pyramiding-A broad spectrum technique for developing durable stress resistance in crops. Biotechnol Mol Biol Rev 5(3):51–60

    Google Scholar 

  • Raman A, Verulkar S, Mandal N, Variar M, Shukla V, Dwivedi J, Singh B, Singh O, Swain P, Mall A, Robin S (2012) Drought yield index to select high yielding rice lines under different drought stress severities. Rice 5(1):1–2

    Article  Google Scholar 

  • Roche D (2015) Stomatal conductance is essential for higher yield potential of C3 crops. Crit Rev Plant Sci 34(4):429–453

    Article  Google Scholar 

  • Ruth NM, Julia S, John D, John MK, Pangirayi T (2017) Genotype ×environment interactions for grain yield in rice under no drought and drought conditions. Afr J Plant Sci 11(7):282–293

    Article  Google Scholar 

  • Sandhu N, Dixit S, Swamy BPM, Raman A, Kumar S, Singh SP, Yadaw RB, Singh ON, Reddy JN, Anandan A, Yadav S (2019) Marker assisted breeding to develop multiple stress tolerant varieties for flood and drought prone areas. Rice 12:1–16

    Article  Google Scholar 

  • Sepehri A, Golparvar AR (2011) The effect of drought stress on water relations, chlorophyll content and leaf area in canola cultivars (Brassica napus L.). eJ Biol 7(3):49–53

    Google Scholar 

  • Septiningsih EM, Pamplona AM, Sanchez DL, Neeraja CN, Vergara GV, Heuer S, Ismail AM, Mackill DJ (2009) Development of submergence-tolerant rice cultivars: the Sub1 locus and beyond. Ann Bot 103(2):151–160

    Article  CAS  PubMed  Google Scholar 

  • Shamsudin NAA, Swamy BP, Ratnam W, Cruz S, Teressa M, Raman A, Kumar A (2016) Marker assisted pyramiding of drought yield QTLs into a popular Malaysian rice cultivar, MR219. BMC Genet 17(1):1–14

    Article  Google Scholar 

  • Sharma P, Jha AB, Dubey RS, Pessarakli M (2012) Reactive oxygen species, oxidative damage, and antioxidative defense mechanism in plants under stressful conditions. J Bot 2012:217037

    Google Scholar 

  • Sikuku PA, Onyango JC, Netondo GW (2012) Physiological and biochemical responses of five nerica rice varieties (Oryza sativa L.) to water deficit at vegetative and reproductive stage. Agric Biol J N Am 3(3):93–104

    Article  CAS  Google Scholar 

  • Singh SP, Choudhary AK (2003) Selection criteria for drought tolerance in Indian mustard [Brassica juncea (L.) Czern & Coss]. Indian J Genet Plant Breed 63(3):263–264

    Google Scholar 

  • Singh BN, Mackill DJ (1991) Genetics of leaf rolling under drought stress. In: IRRI. Rice Genetics II, International Rice Research Institute, Los Baños, the Philippines, pp 159–166. https://doi.org/10.1142/9789812814272_0015

  • Singh N, Jayaswal PK, Panda K, Mandal P, Kumar V, Singh B, Mishra S, Singh Y, Singh R, Rai V, Gupta A (2015) Single-copy gene based 50 K SNP chip for genetic studies and molecular breeding in rice. Sci Rep 5(1):1–9

    Google Scholar 

  • Singh R, Singh Y, Xalaxo S, Verulkar S, Yadav N, Singh S, Singh N, Prasad KSN, Kondayya K, Rao PR, Rani MG et al (2016) From QTL to variety-harnessing the benefits of QTLs for drought, flood and salt tolerance in mega rice varieties of India through a multi-institutional network. Plant Sci 242:278–287

    Article  CAS  PubMed  Google Scholar 

  • Spindel J, Begum H, Akdemir D, Virk P, Collard B, Redona E, Atlin G, Jannink JL, McCouch SR (2015) Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines. PLoS Genet 11(2):e1004982

    Article  PubMed  PubMed Central  Google Scholar 

  • Takai T, Matsuura S, Nishio T, Ohsumi A, Shiraiwa T, Horie T (2006) Rice yield potential is closely related to crop growth rate during late reproductive period. Field Crops Res 96(2–3):328–335

    Article  Google Scholar 

  • Takai T, Yano M, Yamamoto T (2010) Canopy temperature on clear and cloudy days can be used to estimate varietal differences in stomatal conductance in rice. Field Crops Res 115(2):165–170

    Article  Google Scholar 

  • Teulat B, Zoumarou-Wallis N, Rotter B, Salem MB, Bahri H, This D (2003) QTL for relative water content in field-grown barley and their stability across Mediterranean environments. Theor Appl Genet 108:181–188

    Article  CAS  PubMed  Google Scholar 

  • Turner NC, O’Toole JC, Cruz RT, Yambao EB, Ahmad S, Namuco OS, Dingkuhn M (1986) Responses of seven diverse rice cultivars to water deficits II. Osmotic adjustment, leaf elasticity, leaf extension, leaf death, stomatal conductance and photosynthesis. Field Crops Res 13:273–286

    Article  Google Scholar 

  • Valliyodan B, Nguyen HT (2006) Understanding regulatory networks and engineering for enhanced drought tolerance in plants. Curr Opin Plant Biol 9(2):189–195

    Article  CAS  PubMed  Google Scholar 

  • Vikram P, Swamy BP, Dixit S, Ahmed HU, Teresa Sta Cruz M, Singh AK, Kumar A (2011) qDTY 1.1, a major QTL for rice grain yield under reproductive-stage drought stress with a consistent effect in multiple elite genetic backgrounds. BMC Genet 12(1):1–15

    Article  Google Scholar 

  • Vikram P, Swamy BP, Dixit S, Singh R, Singh BP, Miro B, Kohli A, Henry A, Singh NK, Kumar A (2015) Drought susceptibility of modern rice varieties: an effect of linkage of drought tolerance with undesirable traits. Sci Rep 5:1–18

    Article  Google Scholar 

  • Wada S, Takagi D, Miyake C, Makino A, Suzuki Y (2019) Responses of the photosynthetic electron transport reactions stimulate the oxidation of the reaction center chlorophyll of photosystem I, P700, under drought and high temperatures in rice. Int J Mol Sci 20(9):2068

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wheatherley PE (1950) Studies in the water relations of cotton plants. I. The field measurement of water deficit in leaves. New Phytol 49:81–87

    Article  Google Scholar 

  • Yan C, Chen H, Fan T, Huang Y, Yu S, Chen S, Hong X (2012) Rice flag leaf physiology, organ and canopy temperature in response to water stress. Plant Prod Sci 15(2):92–99

    Article  CAS  Google Scholar 

  • Zhang WZ, Han YD, Du HJ (2007) Relationship between canopy temperature at flowering stage and soil water content, yield components in rice. Rice Sci 14(1):67–70

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The research work was supported by funding from Department of Biotechnology, Govt. of India (Grant Nos. BT/PR/1454/AGR/02/745/2010; BT/PR18611/AGIII/103/921/2016). DC, DD and BL were supported by scholarships from CAU (Imphal), Indian Council of Agricultural Research (National Talent Scholarship) and University Grants Commission, respectively.

Author information

Authors and Affiliations

Authors

Contributions

MR, NS conceived and supervised the project. WT supervised the molecular work. PG contributed DRR-50 seeds. DC made crosses and performed physiological analysis. DC, DD, BL and MP performed molecular marker analysis. MR and DD selected the dwarf pyramided lines. DC, BL, MP and MR interpreted the data. DC wrote the original draft and WT and MR edited the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Wricha Tyagi.

Ethics declarations

Conflict of interest

Authors declare that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

12298_2023_1387_MOESM1_ESM.pdf

Fig. S1 Confirmation of pyramided lines. a and b, with molecular markers; and c, seed morphology of donor, recipient, single and double pyramided rice lines. d, Variation for morpho-physiological traits of parents and pyramided lines. The F2 homozygotes for QTLs, DTY1.1 and DTY2.2 confirmed using SSR markers, RM327 and RM431, respectively. Desired plants are indicated by * (PDF 1643 kb)

12298_2023_1387_MOESM2_ESM.tif

Fig. S2 Screening of rice plants in control and under low moisture conditions. a, vegetative stage. b, reproductive stage and c, soil moisture profile following withdrawal of water (Mean ± SD, n = 4). MSV- Moisture stress Vegetative, MSR- Moisture stress reproductive (TIF 2594 kb)

12298_2023_1387_MOESM3_ESM.tiff

Fig. S3 Representative chromosomal map and gel pictures for confirmation of pyramided lines. a, Map for chromosomes 1 and 3 showing DTY1.1 and DTY3.1 along with SSR available for foreground and recombinant selection. b and c, Gel pictures showing F2 confirmation with molecular markers. The homozygotes for QTLs, DTY1.1 and DTY3.3 confirmed using SSR markers, RM431 and RM520, respectively. Desired plants are indicated by * (TIFF 3378 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rai, M., Chucha, D., Deepika, D. et al. Pyramiding of qDTY1.1 and qDTY3.1 into rice mega-variety Samba Mahsuri-Sub1: physiological performance under water deficit conditions. Physiol Mol Biol Plants 29, 1931–1943 (2023). https://doi.org/10.1007/s12298-023-01387-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12298-023-01387-5

Keywords

Navigation