Evaluation of physio-morphological traits and yield performance of backcross inbred lines under drought stress across diverse environments

Authors

DOI:

https://doi.org/10.14719/pst.6131

Keywords:

BIL, drought, physiological traits, qDTY

Abstract

Two sets of BILs derived from two crosses viz., ADT(R) 45 x Apo with drought QTLs qDTY 1.1,3.1 and 4.1 and ADT(R) 45 x Way Rarem with qDTY 12.1 and their parental lines ADT (R) 45, Apo and Way Rarem were evaluated in an irrigated (EI) as well as two drought environments (EII and EIII). Association studies revealed, predominant association and high direct and indirect dependency of NPT, PL, GPP, SFP with SPY in both stress and non-stress environments. Whereas, association of physiological traits viz., LS, LD, LR and DRS showed negative and significant relationship with grain yield in both the moisture stress environments. In spite of huge variations observed between the irrigated and drought environments, the BILs carrying QTLs have registered less reduction in yield and other contributory traits like PL, NPT, SFP and 1000 GW when exposed to stressed environments.

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References

Mahajan G, Kumar V, Chauhan BS. Rice production in India. In: Chauhan BS, Khawar J, Mahajan G, editors. Rice production worldwide. Newyork: Springer; 2017. p. 53–91 https://doi.org/10.1007/978–3–319–47516–5

Khush GS. Green revolution: preparing for the 21st century. Genome. 1999;42(4):646–55. https://doi.org/10.1139/g99–044

Fahad S, Adnan M, Noor M, Arif M, Alam M, Khan IA, et al. Major constraints for global rice production. In: Mirza H, Masayuki F, Jiban KB, editors. Advances in rice research for abiotic stress tolerance; 2019. p.1–22 https://doi.org/10.1016/B978–0–12–814332–2.00001–0

Molden D, Oweis TY, Pasquale S, Kijne JW, Hanjra MA, Bindraban PS, Bouman BAM, et al. Pathways for increasing agricultural water productivity. In Molden D, editor. Water for food, water for life: a comprehensive assessment of water management in agriculture. London, UK: Earthscan; Colombo, Sri Lanka: International Water Management Institute; 2007.p.279–310

Cairns JE, Audebert A, Mullins CE, Price AH. Mapping quantitative trait loci associated with root growth in upland rice (Oryza sativa L.) exposed to soil water–deficit in fields with contrasting soil properties. Field Crops Res. 2009;114(1):108–18. https://doi.org/10.1016/j.fcr.2009.07.009

Pandey S, Velasco L. Economics of direct seeding in Asia: patterns of adoption and research priorities. In Pandey S et al., editors. Direct seeding: research strategies and opportunities. Manila: IRRI; 2002. p. 3–14

Dar MH, Bano DA, Waza SA, Zaidi NW, Majid A, Shikari AB, et al. Abiotic stress tolerance–progress and pathways of sustainable rice production. Sustain. 2021;13(4):2078. https://doi.org/10.3390/su13042078

Zaharieva M, Gaulin E, Havaux M, Acevedo E, Monneveux P. Drought and heat responses in the wild wheat relative Aegilops geniculata Roth: potential interest for wheat improvement. Crop Sci. 2001;41(4):1321–29. https://doi.org/10.2135/cropsci2001.4141321x

Passioura JB. Phenotyping for drought tolerance in grain crops: when is it useful to breeders?. Func Pl Biol. 2012;39(11):851–59. https://doi.org/10.1071/FP12079

Dixit S, Singh A, Kumar A. Rice breeding for high grain yield under drought: a strategic solution to a complex problem. Int J Agron. 2014;2014(1):863683. https://doi.org/10.1155/2014/863683

Hoisington D. Laboratory protocols: CIMMYT applied molecular genetics laboratory. Mexico: CIMMYT; 1992 https://onlinelibrary.wiley.com/doi/10.1155/2014/863683

Venuprasad R, Dalid CO, Valle DM, Zhao D, Espiritu M, Cruz SMT, et al. Identification and characterization of large–effect quantitative trait loci for grain yield under lowland drought stress in rice using bulk–segregant analysis. Theor Appl Gene. 2009;120:177–90. https://doi.org/10.1007/s00122–009–1168–1

Bernier J, Kumar A, Ramaiah V, Spaner D, Atlin G. A large effect QTL for grain yield under reproductive stage drought stress in upland rice. Crop Sci. 2007;47(2):507–16. https://doi.org/10.2135/cropsci2006.07.0495

International network for genetic evaluation of rice. Standard evaluation system for rice. Baños, Laguna: IRRI; 1996

Fleury D, Jefferies S, Kuchel H, Langridge P. Genetic and genomic tools to improve drought tolerance in wheat. J Exp Bot. 2010;61(12):3211–22. https://doi.org/10.1093/jxb/erq152

Fukai S, Cooper M. Development of drought–resistant cultivars using physiomorphological traits in rice. Field Crops Res. 1995;40(2):67–86. https://doi.org/10.1016/0378–4290(94)00096–U

Cochran WG, Cox GM. Experimental designs. New York: John Wiley and Sons; 1950 https://doi.org/10.1097/00010694–195008000–00014

Wishart J. Statistical tables for biological agricultural and medical research. Nature. 1939;144:533. https://doi.org/10.1038/144533a0

Dewey DR, Lu K. A correlation and path?coefficient analysis of components of crested wheatgrass seed production. Agron J. 1959;51(9):515–18. https://doi.org/10.2134/agronj1959.00021962005100090002x

Lenka D, Misra B. Path coefficient analysis of yield in rice varieties. Ind J Agric Sci.1973;43:376–79.

Wagner D. Key developmental transitions during flower morphogenesis and their regulation. Curr Opinion Gene Develop. 2017;45:44–50. https://doi.org/10.1016/j.gde.2017.01.018

Zhang T, Wang J, Zhou C. The role of miR156 in developmental transitions in Nicotiana tabacum. Sci China Life Sci. 2015;58:253–60. https://doi.org/10.1007/s11427–015–4808–5

Riboni M, Galbiati M, Tonelli C, Conti L. Gigantea enables drought escape response via abscisic acid–dependent activation of the florigens and suppressor of overexpression of Constans1. Pl Physiol. 2013;162(3):1706–19. https://doi.org/10.1104/pp.113.217729

Wei H, Chen C, Ma X, Zhang Y, Han J, Mei H, Yu S. Comparative analysis of expression profiles of panicle development among tolerant and sensitive rice in response to drought stress. Front Pl Sci. 2017;8:437. https://doi.org/10.3389/fpls.2017.00437

Vikram P, Swamy BM, Dixit S, Singh R, Singh BP, Miro B, et al. Drought susceptibility of modern rice varieties: an effect of linkage of drought tolerance with undesirable traits. Sci Rep. 2015;5(1):14799. https://doi.org/10.1038/srep14799

Spielmeyer W, Ellis MH, Chandler PM. Semidwarf (sd–1),“green revolution” rice, contains a defective gibberellin 20–oxidase gene. Proceed Nat Acad Sci. 2002;99(13):9043–48. https://doi.org/10.1073/pnas.132266399

Kovi MR, Zhang Y, Yu S, Yang G, Yan W, Xing Y. Candidacy of a chitin–inducible gibberellin–responsive gene for a major locus affecting plant height in rice that is closely linked to Green Revolution gene sd1. Theoret App Genet. 2011;123:705–14. https://doi.org/10.1007/s00122–011–1620–x

Abid M, Ali S, Qi LK, Zahoor R, Tian Z, Jiang D, et al. Physiological and biochemical changes during drought and recovery periods at tillering and jointing stages in wheat (Triticum aestivum L.). Sci Rep. 2018;8(1):4615. https://doi.org/10.1038/s41598–018–21441–7

Sakamoto T, Matsuoka M. Identifying and exploiting grain yield genes in rice. Curr Opinion Pl Bio. 2008;11(2):209–14. https://doi.org/10.1016/j.pbi.2008.01.009

Xu JL, Lafitte HR, Gao YM, Fu BY, Torres R, Li ZK. QTLs for drought escape and tolerance identified in a set of random introgression lines of rice. Theoret App Genet. 2005;111:1642–50. https://doi.org/10.1007/s00122–005–0099–8

Liu JX, Liao DQ, Oane R, Estenor L, Yang XE, Li ZC, Bennett J. Genetic variation in the sensitivity of anther dehiscence to drought stress in rice. Field Crops Res. 2006;97(1):87–100. https://doi.org/10.1016/j.fcr.2005.08.019

Mishra KK, Vikram P, Yadaw RB, Swamy BM, Dixit S, Cruz MT, et al. qDTY 12. 1: a locus with a consistent effect on grain yield under drought in rice. BMC Gen. 2013;14:1–0. https://doi.org/10.1186/1471–2156–14–12

Boonjung H, Fukai S. Effects of soil water deficit at different growth stages on rice growth and yield under upland conditions. 2. Phenology, biomass production and yield. Field Crops Res. 1996;48(1):47–55. https://doi.org/10.1016/0378–4290(96)00039–1

Saini HS, Westgate ME. Reproductive development in grain crops during drought. Adv Agron. 1999;68:59–96. https://doi.org/10.1016/S0065–2113(08)60843–3

He H, Serraj R. Involvement of peduncle elongation, anther dehiscence and spikelet sterility in upland rice response to reproductive–stage drought stress. Environ Exp Bot. 2012;75:120–27. https://doi.org/10.1016/j.envexpbot.2011.09.004

Pham HT, Do KT, Truong MN, Tran XD, Nguyen LT, Bui BC. Path analysis for yield traits in F2 generation and molecular approaches for breeding rice tolerant to drought and submergence. Afr J Agric Res. 2016;11(26):2329–36. https://doi.org/10.5897/AJAR2016.11153

Hossain S, Salim M, Azam MG, Noman S. Variability, correlation and path analysis in drought tolerant rice (Oryza sativa L.). J Biosci Agric Res. 2018;18(02):1521–30. https://doi.org/10.18801/jbar.180218.187

Subashri M, Robin S, Vinod KK, Rajeswari S, Mohanasundaram K, Raveendran TS. Trait identification and QTL validation for reproductive stage drought resistance in rice using selective genotyping of near flowering RILs. Euphytica. 2009;166:291–305. https://doi.org/10.1007/s10681–008–9847–6

Pantuwan G, Fukai S, Cooper M, Rajatasereekul S, O'Toole JC. Yield response of rice (Oryza sativa L.) genotypes to different types of drought under rainfed lowlands–Part 3. Plant factors contributing to drought resistance. Field Crops Res. 2002;73(2–3):181–200. https://doi.org/10.1016/S0378–4290(01)00194–0

Fabre D, Siband P, Dingkuhn M. Characterizing stress effects on rice grain development and filling using grain weight and size distribution. Field Crops Res. 2005;92(1):11–16. https://doi.org/10.1016/j.fcr.2004.07.024

Acuna TB, Lafitte HR, Wade LJ. Genotype × environment interactions for grain yield of upland rice backcross lines in diverse hydrological environments. Field Crops Res. 2008 ;108(2):117–25. https://doi.org/10.1016/j.fcr.2008.04.003

Richards RA. Increasing the yield potential of wheat: manipulating sources and sinks. Increasing yield potential in wheat: breaking the barriers. Mexico, D.E: Cimmyt; 1996

Price AH, Cairns JE, Horton P, Jones HG, Griffiths H. Linking drought?resistance mechanisms to drought avoidance in upland rice using a QTL approach: progress and new opportunities to integrate stomatal and mesophyll responses. J Exp Bot. 2002;53(371):989–1004. https://doi.org/10.1093/jexbot/53.371.989

Dingkuhn M, Farquhar GD, De Datta SK, O'toole JC, Datta S. Discrimination of 13C among upland rices having different water use efficiencies. Aus J Agric Res. 1991;42(7):1123–31. https://doi.org/10.1071/AR9911123

Cal AJ, Sanciangco M, Rebolledo MC, Luquet D, Torres RO, McNally KL, Henry A. Leaf morphology, rather than plant water status, underlies genetic variation of rice leaf rolling under drought. Pl Cell Environ. 2019;42(5):1532–44. https://doi.org/10.1111/pce.13514

Fang Y, Xiong L. General mechanisms of drought response and their application in drought resistance improvement in plants. Cell Mole Life Sci. 2015;72:673–89. https://doi.org/10.1007/s00018-014-1767-0

Chen D, Wang S, Cao B, Cao D, Leng G, Li H, et al. Genotypic variation in growth and physiological response to drought stress and rewatering reveals the critical role of recovery in drought adaptation in maize seedlings. Front Pl Sci. 2016;6:1241. https://doi.org/10.3389/fpls.2015.01241

Published

03-04-2025 — Updated on 13-04-2025

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Arulmozhi R, John Joel A, Suresh R, Boominathan P, Sathya Bama K, Indhu SM, Pushpa R, Dhandapani M, Manimaran R, Subrahmaniyan K. Evaluation of physio-morphological traits and yield performance of backcross inbred lines under drought stress across diverse environments. Plant Sci. Today [Internet]. 2025 Apr. 13 [cited 2025 Apr. 14];12(2). Available from: https://horizonepublishing.com/journals/index.php/PST/article/view/6131

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