Modern phenotypes of cereals for growing in areas endangered with drought
Krystyna Rybka
k.rybka@ihar.edu.plZakład Biochemii i Fizjologii Roślin, Instytut Hodowli i Aklimatyzacji Roślin IHAR — PIB, Radzików (Poland)
Zygmunt Nita
Hodowla Roślin Strzelce Sp. z o.o. Grupa IHAR (Poland)
Abstract
The increasing food demand and economic conditions force constant increase of crop yield. Green revolution introduced dwarf forms and for five decades determined mechanisms of yield growth by increasing harvest index (HI) which, combined with advances in agricultural practices, resulted in wheat grain yield greater than 10 t/ha. The optimal HI level was reached (≈ 0.64 for wheat) thus exhausting yield potential related to this parameter. This initiated a search for new crop phenotypes which would guarantee continuing yield increase in the future decades in the prospect of increasing soil drought. In this article, the results of wheat ideotypes simulation generated by mechanistic Sirius model enhanced by evolutionary algorithm (GA-SA) and climate scenarios (HadCM3) are presented. They are discussed in the context of selection priorities in crop breeding in Poland. The biochemical and physiological factors determining plant drought resistance and efficient water use by cereal crops are also presented.
Supporting Agencies
Keywords:
breeding, phenomics, Triticum aestivum, wheat, yieldReferences
Anioł A. 2010. Wpływ biotechnologii i procesów globalizacji w gospodarce na hodowlę roślin i wspierające ten sektor badania naukowe. Biul. IHAR 256: 3 — 13.
Google Scholar
Anonim. 2014. Crop Modeling Team Highlights web-page www.agmip.org/wp-content/uploads/2012/11/Crop_Modeling_2011-2012_Highlights-web.pdf data ostatniej modyfikacji: 16 05 2014 05:53:53, data dostępu: 29 09 2014.
Google Scholar
Amani I., Fischer R. A., Reynolds M. P. 1996. Canopy Temperature Depression Association with Yield of Irrigated Spring Wheat Cultivars in a Hot Climate. J. Agron. Crop. Sci. 176: 119 — 129.
Google Scholar
Akkaya A., Dokuyucu T., Kara R., Akcura. M. 2006. Harmonization ratio of post- to pre-anthesis durations by thermal times for durum wheat cultivars in a Mediterranean environment. Eur. J. Agron. 24: 404 — 408.
Google Scholar
Araus J. L., Cairns J. E. 2014. Field high-throughput phenotyping: the new crop breeding frontier. Trends Plant Sci. 19: 52 — 61.
Google Scholar
Atkin O. K., Macherel D. 2009. The crucial role of plant mitochondria in orchestrating drought tolerance. Ann. Bot. 103: 58 — 597.
Google Scholar
Austin R. B. 1999. Yield of wheat in the United Kingdom: recent advances and prospects. Crop Sci. 39: 1604 — 1610.
Google Scholar
Bacławska-Krzemińska Z. 1973. Influence of light, water deficit and age of plant on photosynthesis and air passage capacity in leaves of Brassica oleracea L. var. capitata alba v. Ditmarska. Plant Breed. Seed Sci. 17: 303 — 328.
Google Scholar
Blum A. 2009. Effective use of water (EUW) and not water-use efficiency (WUE) is the target of crop yield improvement under drought stress. Field Crop Res. 112: 119 — 123.
Google Scholar
Borlaug N. 2007. Sixty-two years of fighting hunger: personal recollections. Euphytica 157: 287 — 297.
Google Scholar
Brooks R. J., Semenov M. A., Jamieson P. D. 2001. Simplifying Sirius: Sensitivity analysis and development of a meta-model for wheat yield prediction. Eur. J. Agron. 14: 43 — 60.
Google Scholar
Cabrera-Bosquet L., Crossa J., von Zitzewitz J., Serret M. D., Araus L. J. 2012. High-throughput Phenotyping and Genomic Selection: The Frontiers of Crop Breeding Converge. J. Integr. Plant Biol.54: 312 — 320.
Google Scholar
Caramelo J. J., Iusem N. D. 2009. When cells lose water: Lessons from biophysics and molecular biology. Prog. Biophys. Mol. Bio. 99: 1 — 6.
Google Scholar
Condon A. G., Richards R. A., Rebetzke G. J., Farquhar G. D. 2004. Breeding for high water-use efficiency. J. Exp. Bot. 55: 2447 — 2460.
Google Scholar
Costa J. M., Grant O. M., Chaves M. M. 2013. Thermography to explore plant environment interactions. J. Exp. Bot. 64: 3937 — 3949.
Google Scholar
Craufurd P. Q., Vadz V., Jagadish S. V. K., Prasad P. V. V., Zaman-Allah M. 2013. Crop science experiments designed to inform crop modelling. Agric. For. Meteorol. 170: 8 — 18.
Google Scholar
Cutler S. R., Rodriguez P. L., Finkelstein R. R., Abrams S. R. 2010. Abscisic acid: Emergence of a core signaling network. Annu. Rev. Plant Biol. 61: 651 — 679.
Google Scholar
Doroszewski, A., Jadczyszyn, J., Kozyra, J., Pudełko, R., Stuczyński, T., Mizak, K., Łopatka, A., Koza, P., Górski, T., Wróblewska, E. 2012. Podstawy systemu monitoringu suszy rolniczej. Woda-Środowisko-Obszary Wiejskie 12: 77 — 91.
Google Scholar
Driever S. M., Lawson T., Andralojc P. J., Raines C. A., Parry M. A. J. 2014. Natural variation in photosynthetic capacity, growth, and yield in 64 field-grown wheat genotypes. J. Exp. Bot. 65: 4959 — 4973.
Google Scholar
Du T., Kang S., Sun J., Zhang X., Zhang J. 2009. An improved water use efficiency of cereals under temporal and spatial deficit irrigation in north China. Agr. Water Manage. 97: 66 — 74.
Google Scholar
Easterling D. R., Evans J. L., Groisman P. Y., Karl T. R., Kunkel K. E., Ambenje P. 2000. Observed variability and trends in extreme climate events: a brief review. Bull. Am. Meteorol. Soc. 81: 417 — 425.
Google Scholar
Easterling D. R., Horton B., Jones P. D., Peterson T. C., Karl T. R., Parker D. E., Salinger M. J., Razuvayev V., Plummer N., Jamason P., Folland C. K. 1997. Maximum and Minimum Temperature Trends for the Globe. Science 277: 364 — 367.
Google Scholar
Eyal Z., Blum A. 1989. Canopy temperature as a correlative measure for assessing host response to Septoria tritici Bloch of Wheat. Plant Dis. 73: 468 — 471.
Google Scholar
FAO, Food and Agriculture Organization, 2003. Review of World Water Resources by Country. Water Reports, FAO, Rome, 23: 127 ss.
Google Scholar
Feng B., Yu H., Hu Y., Gao X., Gao J., Gao D., Zhang S. 2009. The physiological characteristics of the low canopy temperature wheat (Triticum aestivum L.) genotypes under simulated drought condition. Acta Physiol. Plant. 31: 1229 — 1235.
Google Scholar
Fish D. A., Earl H. J. 2009. Water-Use Efficiency is negatively correlated with leaf epidermal conductance in cotton (Gossypium spp.). Crop Sci. 49: 1409 — 1415.
Google Scholar
Fleury D., Jefferies S., Kuchel H., Langridge P. 2010. Genetic and genomic tools to improve drought tolerance in wheat. J. Exp. Bot. 61: 3211 — 3222.
Google Scholar
Foulkes M. J., Slafer G. A., Davies W. J., Berry P. M., Sylvester-Bradley R., Martre P., Calderini D. F., Griffiths S., Reynolds M. P. 2011. Raising yield potential of wheat. III. Optimizing partitioning to grain while maintaining lodging resistance. J. Exp. Bot. 62: 469 — 486.
Google Scholar
Foyer C., Noctor G. 2009. Redox Regulation in Photosynthetic Organisms: Signaling, Acclimation, and Practical Implications. Antioxidants & Redox Signaling 11: 861 — 905.
Google Scholar
Gago J., Douthe C., Florez-Sarasa I., Escalona J. M., Galmes J., Fernie A. R., Flexas J., Medrano H. 2014. Opportunities for improving leaf water use efficiency under climate change conditions. Plant Sci. (w druku) doi: 10.1016/j.plantsci.2014.1004.1007.
Google Scholar
Gassman P. W., Williams J. R., Benson V. W., Izaurralde R. C., Hauck L. M., Jones C. A., Atwood J. D., Kiniry J. R., Flowers J. D. 2004. Historical Development and Applications of the EPIC and APEX Models ASAE/CSAE Annual International Meeting, Meeting Paper No. 042097 Ottawa, Canada. Iowa State University Working Paper 05-WP 397, June 2005.
Google Scholar
Gosal S. S., Wani S. H., Kang M. S. 2009. Biotechnology and drought tolerance. J. Crop Improv. 23: 19 — 54.
Google Scholar
Grudkowska M., Zagdańska B. 2004. Multifunctional role of plant cysteine proteinases. Acta Biochim. Pol. 51: 609 — 624.
Google Scholar
GUS 2013. Produkcja Upraw Rolniczych i Ogrodniczych w 2012 r. Materiały źródłowe. ISSN 1509 - 7099 pp. 124
Google Scholar
Hammer G., Chapman S., Oosterom E., Podlich D. 2004. Trait physiology and crop modelling to link phenotypic complexity to underlying genetic systems. Aust. J. Agric. Res. 56: 947 — 960.
Google Scholar
Hammer G. L., van Oosterom E., McLean G., Chapman S. C., Broad I., Harland P., Muchow R. C. 2010. Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. J. Exp. Bot. 61: 2185 — 2202.
Google Scholar
Harb A., Krishnan A., Ambavaram M. M. R., Pereira A. 2010. Molecular and Physiological Analysis of Drought Stress in Arabidopsis Reveals Early Responses Leading to Acclimation in Plant Growth. Plant Physiol. 154: 1254 — 1271.
Google Scholar
He J., Le Gouis J., Stratonovitch P., Allard V., Gaju O., Heumez E., Orford S., Griffiths S., Snape J. W., Foulkes M. J., Semenov M. A., Martre P. 2012. Simulation of environmental and genotypic variations of final leaf number and anthesis date for wheat. Eur. J. Agron. 42: 22 — 33.
Google Scholar
Hiscock K. M., Rivett M. O., Davison R. M. 2002. Sustainable groundwater development. Geological Society, London, Special Publications 193: 1 — 14.
Google Scholar
Houle D., Govindaraju D. R., Omholt S. 2010. Phenomics: the next challenge. Nat. Rev. Genet. 11: 855 — 865.
Google Scholar
Hu H., Xiong L. 2014. Genetic Engineering and Breeding of Drought-Resistant Crops. Ann. Rev. Plant Biol. 65: 715 — 741.
Google Scholar
Hussain S. S., Iqbal M. T., Arif M. A., Amjad M. 2012. Beyond osmolytes and transcription factors: drought tolerance in plants via protective proteins and aquaporins. Biol. Plant. 55: 40 — 413.
Google Scholar
Iturriaga G., Suárez R., Nova-Franco B. 2009. Trehalose metabolism: from osmoprotection to signaling. Int. J. Mol. Sci. 10: 3793 — 3810.
Google Scholar
Jaggard K. W., Qi A., Ober E. S. 2010. Possible changes to arable crop yields by 2050. Philos. T. Roy. Soc. B. 365: 2835 — 2851.
Google Scholar
Jaleel C. A., P. Manivannan A. W., M. Farooq, R. Somasundaram, Panneerselvam R. 2009. Drought stress in plants: a review on morphological characteristics and pigments composition. Int. J. Agric. Biol. 11: 100 — 105.
Google Scholar
Jamieson P. D., Semenov M., Brooking I., Fracois G. 1998. Sirius: a mechanistic model of wheat response to environmental variation. Eur. J. Agron. 8: 161 — 179.
Google Scholar
Jarecka M. 1973. Influence of light, water deficit and age of plant on photosynthesis and air passage capacity in leaves of sugar beet (Beta vulgaris var. Saccharifera). Plant Breed. Seed Sci. 17: 329 — 357.
Google Scholar
Jogaiah S., Govind S. R., Tran L. S. P. 2013. Systems biology-based approaches toward understanding drought tolerance in food crops. C. R. Biotechn. 33: 23 — 39.
Google Scholar
Kacperska A. 2002 a. Gospodarka wodna. W: Kopcewicz J., Lewak S. (red.) Fizjologia roślin. Warszawa: PWN: 193 — 245.
Google Scholar
Kacperska A. 2002 b. Reakcje roślin na abiotyczne czynniki stresowe. W: Kopcewicz J., Lewak S. (red.) Fizjologia roślin. Warszawa: PWN: 612 — 678.
Google Scholar
Kemanian A. R., Stöckle C. O., Huggins D. R. 2005. Transpiration-use efficiency of barley. Agr. Forest Meteorol. 130: 1 — 11.
Google Scholar
Khattak G. S. S., Parry M. A. J., Andralojc J., Saeed I., Shams Ur R. 2014. Evaluation of diverse wheat genotypes for potential biomass production through physiological parameters at seedling stage under controlled environment. Pakistan J. Bot. 46: 181 — 184.
Google Scholar
Kholova J., Hash C. T. , Kakkera A., Kocova M., Vadez V. 2010. Constitutive water-conserving mechanisms are correlated with the terminal drought tolerance of pearl millet (Pennisetum glaucum L). J. Exp. Bot. 61: 369 — 377.
Google Scholar
Kholova J., McLean G., Vadez V., Craufurd P., Hammer G. L. 2013. Drought stress characterization of post-rainy season (rabi) sorghum in India. Field Crops Res. 141: 38 — 46.
Google Scholar
Kim T.-H., Bohmer M., Hu H., Nishimura N., Schroeder J. I. 2010. Guard cell signal transduction network: Advances in understanding Abscisic Acid, CO2, and Ca2+ signaling. Annu. Rev. Plant Biol. 61: 561 — 591.
Google Scholar
Knight S., Kightley S., Bingham I., Hoad S., Lang B., Philpott H., Stobart R., Thomas J., Barnes A., Ball B. 2012. Desk study to evaluate contributory causes of the current ‘yield plateau’ in wheat and oilseed rape. HGCA Report No 502: pp. 225.
Google Scholar
Koza J. R., Keane M. A., Streeter M. J. 2003. Zastosowanie mechanizmów ewolucji w programowaniu komputerowym daje nowatorskie rezultaty. Świat Nauki 4(140): 40 — 47.
Google Scholar
Labudda M., Azam F. M. S. 2014. Glutathione-dependent responses of plants to drought: a review. Acta Soc. Bot. Pol. 83: 3 — 12.
Google Scholar
Langridge P., Paltridge N., Fincher G. 2006. Functional genomics of abiotic stress tolerance in cereals. Brief Funct. Genomic Proteomic 4: 343 — 354.
Google Scholar
Lipiec J., Doussan C., Nosalewicz A., Kondracka K. 2013. Effect of drought and heat stresses on plant growth and yield: a review. Intern. Agroph. 27: 463 — 477.
Google Scholar
Liu Z.-Y., Wu H.-F., Huang J.-F. 2010. Application of neural networks to discriminate fungal infection levels in rice panicles using hyperspectral reflectance and principal components analysis. Comput. Electron. Agr. 72: 99 — 106.
Google Scholar
Łabędzki L. 2006. Susze rolnicze. Zarys problematyki oraz metody monitorowania i klasyfikacji. Woda-Środowisko-Obszary Wiejskie Rozprawy naukowe i monografie nr 17.
Google Scholar
Manschadi A. M., Christopher J., Devoil P., Hammer G. L. 2006. The role of root architectural traits in adaptation of wheat to water-limited environments. Funct. Plant Biol. 33: 823 — 837.
Google Scholar
Maseda P. H., Ferniez R. J. 2006. Stay wet or else: three ways in which plants can adjust hydraulically to their environment. J. Exp. Bot. 57: 3963 — 3977.
Google Scholar
McMaster G. S. 2005. Phytomers, phyllochrons, phenology and temperate cereal development. J. Agr. Sci. 143: 137 — 150.
Google Scholar
Meehl G. A., Covey C., Delworth T., Latif M., McAvaney B., Mitchell J. F. B. i in. 2007. The WCRP CMIP3 multimodel dataset — a new era in climate change research. Bull. Am. Meteorol. Soc. 88: 1383 — 1394.
Google Scholar
Miazek A., Zagdańska B. 2008. Involvement of exopeptidases in dehydration tolerance of spring wheat seedlings. Biol. Plantarum 52: 687 — 694.
Google Scholar
Miller G., Suzuki N., Ciftci-Yilmaz S., Mittler R. 2010. Reactive oxygen species homeostasis and signalling during drought and salinity stresses. Plant Cell Environ. 33: 453 — 467.
Google Scholar
Miyazono K., Miyakawa T., Sawano Y., Kubota K., Kang H., Asano A., Miyauchi Y., Takahashi M., Zhi Y., Fujita Y., Yoshida T., Kodaira K., Yamaguchi-Shinozaki K., Tanokura M. 2009. Structural basis of abscisic acid signalling. Nature 462: 609 — 614.
Google Scholar
Oleksiak T. 2013. Stosowanie kwalifikowanego materiału siewnego a plonowanie zbóż ozimych. Biul. IHAR 268: 87 — 99.
Google Scholar
Pinheiro C., Chaves M. M. 2011. Photosynthesis and drought: Can we make metabolic connections from available data? J. Exp. Bot. 62: 869 — 882.
Google Scholar
Pinter Jr P. J., Zipoli G., Reginato R. J., Jackson R. D., Idso S. B., Hohman J. P. 1990. Canopy temperature as an indicator of differential water use and yield performance among wheat cultivars. Agric. Water Manage. 18: 35 — 48.
Google Scholar
Reynolds M., Tuberosa R. 2008. Translational research impacting on crop productivity in drought-prone environments. Curr. Opin. Plant Biol. 11: 171 — 179.
Google Scholar
Richards R. A. 2006. Physiological traits used in the breeding of new cultivars for water-scarce environments. Agric. Water Manag. 80:197 — 211.
Google Scholar
Richards R. A., Rebetzke G. J., Watt M., Condon A. G., Spielmeyer W., Dolferus R. 2010. Breeding for improved water productivity in temperate cereals: phenotyping, quantitative trait loci, markers and the selection environment. Funct. Plant Biol. 37: 85 — 97.
Google Scholar
Ritchie J. T., Singh U., Godwin D. C., Bowen W. T. 1998. Soil Water Balance and Plant Water Stress. W: Tsuji Y, Tsuji GY, Hoogenboom G, Thornton PK (ed.) Understanding Options for Agricultural Production. Kluwer Academic Publishers, Dordrecht, 83 — 102.
Google Scholar
Rosenzweig C., Elliott J., Deryng D., Ruane A. C., Müller C., Arneth A., Boote K. J., Folberth C., Glotter M., Khabarov N., Neumann K., Piontek F., Pugh T., Schmid E., Stehfest E., Yang H., Jones J. W. 2014. Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc. Nat. Acad. Sci. USA 111: 3268 — 3273.
Google Scholar
Rosenzweig C., Jones J. W., Hatfield J. L., Ruane A. C., Boote K. J., Thorburn P., Antle J. M., Nelson G. C., Porter C., Janssen S., Asseng S., Basso B., Ewert F., Wallach D., Baigorria G., Winter J. M. 2013. The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agric. For. Meteorol. 170: 166 — 182.
Google Scholar
Rybka K. 2009. TILLING i FOX-hunting: nowe metody analizy funkcjonalnej genów Post. Biol. Kom. 36: 539 — 554.
Google Scholar
Rybka K. 2011. Tilling and fox-hunting: new methods for functional analysis of genes. Adv. Cell Biol. 3(1): 165 — 180.
Google Scholar
Rybka K., Nita Z. 2014. Physiological requirements for wheat ideotypes in response to drought threat. Acta Physiol. Plant. (ACPP-D-14-00754).
Google Scholar
Science.gov [on line] U.S. Federal Science [dostęp 09.05.2014]. Dostępne w internecine „yield prediction model“ http://www.science.gov/scigov/result-list/fullRecord:yield+ prediction+model/
Google Scholar
Semenov M. A. 2009. Impacts of climate change on wheat in England and Wales. J. R. Soc. Interface 6: 343 — 350.
Google Scholar
Semenov M. A., Stratonovitch P. 2013. Designing high-yielding wheat ideotypes for a changing climate. Food and Energy Security 2: 185 — 196.
Google Scholar
Semenov M. A., Stratonovitch P., Alghabari F., Gooding M. J. 2014. Adapting wheat in Europe for climate change. J. Cereal Sci. 59: 245 — 256.
Google Scholar
Shao H.-B., Chu L.-Y., Jaleel C. A., Manivannan P., Panneerselvam R., Shao M.-A. 2009. Understanding water deficit stress-induced changes in the basic metabolism of higher plants – biotechnologically and sustainably improving agriculture and the ecoenvironment in arid regions of the globe. C. R. Biotechnol. 29: 131 — 151.
Google Scholar
Shao H.-B., Chu L.-Y., Jaleel C.A., Zhao C.-X. 2008. Water-deficit stress-induced anatomical changes in higher plants. C. R. Biol. 331: 215 — 225.
Google Scholar
Shinozaki K., Yamaguchi-Shinozaki K. 2007. Gene networks involved in drought stress response and tolerance. J. Exp. Bot. 58: 221 — 227.
Google Scholar
Sillmann J., Roeckner E. 2008. Indices for extreme events in projections of anthropogenic climate change. Clim. Change 86: 83 — 104.
Google Scholar
Skirycz A., De Bodt S., Obata T., De Clercq I., Claeys H., De Rycke R., Iriankaja M., Van Aken O., Van Breusegem F., Fernie A. R., Inze D. 2010. Developmental stage specificity and the role of mitochondrial metabolism in the response of arabidopsis leaves to prolonged mild osmotic stress. Plant Physiol. 152: 226 — 244.
Google Scholar
Skośkiewicz K. 1973. Stomatal movements in summer rape Bronowski IHAR (Brassica napus L..) in dependence on the age of the leaf, water deficit, light intensity and CO2 concentration. Plant Breed. Seed Sci. 17: 359 — 385.
Google Scholar
Somvanshi V. S. 2009. Patenting drought tolerance in organisms. Recent Patents on DNA&Gene Sequences 3: 16 — 25.
Google Scholar
Spink J., Street P., Sylvester-Bradley R., Berry P. 2009. The potential to increase productivity of wheat and oilseed rape in the UK. Report to the Government Chief Scientific Adviser, Professor John Beddington, January 2009 see: http:// dius.gov.uk: data dostępu 10 05 2014.
Google Scholar
Stachowski P. 2010. Ocena suszy meteorologicznej na terenach pogórniczych w rejonie Konina. Rocznik Ochrona Środowiska 12: 587-606. ISSN 1506-218X. Dostępne: .http://old.ros.edu.pl/ text/pp_2010_034.pdf. Data dostępu: 19. 08. 2014.
Google Scholar
Starck Z. 2009. Dystrybucja asymilatów kluczowym procesem determinującym plon. Post. Nauk Roln. 2/2009: 51 — 69.
Google Scholar
Strebeyko P. 1973. Theoretical principles of gas exchange in plants. Plant Breed. Seed Sci. 17: 287 — 295.
Google Scholar
Tallec T., Béziat P., Jarosz N., Rivalland V., Ceschia E. 2013. Crops’ water use efficiencies in temperate climate: Comparison of stand, ecosystem and agronomical approaches. Agric. Forest Meteorol. 168: 69 — 81.
Google Scholar
Tardieu F. 2010. Why work and discuss the basic principles of plant modelling 50 years after the first plant models? J. Exp. Bot. 61: 2039 — 2041.
Google Scholar
Tomassini L., Jacob D. 2009. Spatial analysis of trends in extreme precipitation events in high-resolution climate model results and observations for Germany. J. Geophys. Res.- Atmos. 114: D12113.
Google Scholar
Trenberth K. E., Dai A., Rasmussen R. M., Parsons D. B. 2003. The Changing Character of Precipitation. Bull. Am. Meteorol. Soc. 84: 1205 — 1217.
Google Scholar
Vadez V., Kholova J., Medina S., Kakkera A., Anderberg H. 2014. Transpiration efficiency: new insights into an old story. J. Exp. Bot.: first published online March 5, 2014.
Google Scholar
Vadez V., Kholová J., Yadav R., Hash C. 2013 a. Small temporal differences in water uptake among varieties of pearl millet (Pennisetum glaucum L.) are critical for grain yield under terminal drought. Plant Soil 371: 447 — 462.
Google Scholar
Vadez V., Kholova J., Zaman-Allah M., Belko N. 2013 b. Water: the most important ‘molecular’ component of water stress tolerance research. Funct. Plant Biol. 40: 1310 — 1322.
Google Scholar
Vadez V., Rao S., Kholová J., Krishnamurthy L., Kashiwagi J., Ratnakumar P., Sharma K., Bhatnagar-Mathur P., Basu P. 2008. Root research for drought tolerance in legumes: Quo vadis? J. Food Legumes 21: 77 — 85.
Google Scholar
White J. W., Andrade-Sanchez P., Gore M. A., Bronson K. F., Coffelt T. A., Conley M. M., Feldmann K. A., French A. N., Heun J. T., Hunsaker D. J., Jenks M. A., Kimball B. A., Roth R. L., Strand R. J., Thorp K. R., Wall G. W., Wang G. 2012. Field-based phenomics for plant genetics research. Field Crop. Res. 133: 101 — 112.
Google Scholar
Yang W., Duan L., Chen G., Xiong L., Liu Q. 2013. Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies. Curr. Opin. Plant Biol. 16: 180 — 187.
Google Scholar
Zagdańska B. 1997. Mechanizmy odporności zbóż na suszę glebową: metabolizm energetyczny pszenicy jarej w nabywaniu odporności. (in Polish with English Summary and Legends) Biul. IHAR 203: 41 — 55.
Google Scholar
Zagdańska B., Kozdój J. 1994. Water stress-induced changes in morphology and anatomy of flag leaf of spring wheat. Acta Soc. Bot. Pol. 63: 61 — 66.
Google Scholar
Zawora T., Ziernicka-Wojtaszek A. 2008. Ekstremalne wartości niedoborów i nadmiarów opadów atmosferycznych w aspekcie współczesnych zmian klimatu na przykładzie województwa podkarpackiego. Infrastruktura i Ekologia Terenów Wiejskich 5: 23 — 29.
Google Scholar
Zhang J., Dell B., Conocono E., Waters I., Setter T., Appels R. 2009. Water deficits in wheat: fructan exohydrolase (1-FEH)mRNA expression and relationship to soluble carbohydrate concentrations in two varieties. New Phytol. 181: 843 — 850.
Google Scholar
Zhou J., Wang J., Li X., Xia X.-J., Zhou Y.-H., Shi K., Chen Z., Yu J.-Q. 2014. H2O2 mediates the crosstalk of brassinosteroid and abscisic acid in tomato responses to heat and oxidative stresses. J. Exp. Bot. (w druku, doi: 10.1093/jxb/eru217).
Google Scholar
Żurek G. 2000. Effect of summer 1999 drought on several turf grass species. Plant Breed. Seed Sci. 44 (1): 73 — 83.
Google Scholar
Żurek G. 2004. Reakcja wybranych odmian traw gazonowych na naturalną i symulowaną suszę. Biul. IHAR 233: 195 — 209.
Google Scholar
Authors
Krystyna Rybkak.rybka@ihar.edu.pl
Zakład Biochemii i Fizjologii Roślin, Instytut Hodowli i Aklimatyzacji Roślin IHAR — PIB, Radzików Poland
Authors
Zygmunt NitaHodowla Roślin Strzelce Sp. z o.o. Grupa IHAR Poland
Statistics
Abstract views: 118PDF downloads: 61
License
Copyright (c) 2014 Krystyna Rybka, Zygmunt Nita
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Upon submitting the article, the Authors grant the Publisher a non-exclusive and free license to use the article for an indefinite period of time throughout the world in the following fields of use:
- Production and reproduction of copies of the article using a specific technique, including printing and digital technology.
- Placing on the market, lending or renting the original or copies of the article.
- Public performance, exhibition, display, reproduction, broadcasting and re-broadcasting, as well as making the article publicly available in such a way that everyone can access it at a place and time of their choice.
- Including the article in a collective work.
- Uploading an article in electronic form to electronic platforms or otherwise introducing an article in electronic form to the Internet or other network.
- Dissemination of the article in electronic form on the Internet or other network, in collective work as well as independently.
- Making the article available in an electronic version in such a way that everyone can access it at a place and time of their choice, in particular via the Internet.
Authors by sending a request for publication:
- They consent to the publication of the article in the journal,
- They agree to give the publication a DOI (Digital Object Identifier),
- They undertake to comply with the publishing house's code of ethics in accordance with the guidelines of the Committee on Publication Ethics (COPE), (http://ihar.edu.pl/biblioteka_i_wydawnictwa.php),
- They consent to the articles being made available in electronic form under the CC BY-SA 4.0 license, in open access,
- They agree to send article metadata to commercial and non-commercial journal indexing databases.
Most read articles by the same author(s)
- Piotr Stefański, Patrycja Siedlarz, Przemysław Matysik, Zygmunt Nita, Krystyna Rybka, The usefulness of light sources based on diodes characterized by a continuous spectrum of white light enriched with a blue band in cereal breeding , Bulletin of Plant Breeding and Acclimatization Institute: No. 284 (2018): Regular issue
- Patrycja Siedlarz, Sławomir Bany, Krystyna Rybka, Quantitative changes in DNA methylation induced by monochromatic light in barley regenerants obtained by androgenesis , Bulletin of Plant Breeding and Acclimatization Institute: No. 288 (2020): Regular issue
- Przemysław Matysik, Zygmunt Nita, Ewelina Matysik, Effectiveness of selection criteria applied in F4 progeny of winter wheat on the basis of yield components , Bulletin of Plant Breeding and Acclimatization Institute: No. 244 (2007): Regular issue
- Patrycja Siedlarz, Piotr Stefański, Przemysław Matysik, Zygmunt Nita, Krystyna Rybka, The effect of different LED illuminators on the germination index of wheat grains obtained in the greenhouse stage of the SSD breeding process , Bulletin of Plant Breeding and Acclimatization Institute: No. 282 (2017): Regular issue
- Piotr Stefański, Krystyna Rybka, Przemysław Matysik, Phenotyping of winter triticale canopy density in field conditions using an RGB camera , Bulletin of Plant Breeding and Acclimatization Institute: No. 301 (2024): Regular issue
- Krystyna Rybka, The latest news in the field of biotechnology and grain breeding: CBB7- seventh Cereal Biotechnology and Breeding conference in Wernigerode, Germany , Bulletin of Plant Breeding and Acclimatization Institute: No. 300 (2023): Regular issue
- Krystyna Rybka, Plant phenotyping. The EPPN 2020 Conference in Tartu/ Estonia , Bulletin of Plant Breeding and Acclimatization Institute: No. 282 (2017): Regular issue
- Tadeusz Śmiałowski, Maria Bogacka, Zygmunt Nita, Edward Witkowski, The use of multifactorial analysis of variance in estimation of winter hardiness of winter wheat strains , Bulletin of Plant Breeding and Acclimatization Institute: No. 259 (2011): Regular issue
- Zygmunt Nita, Memories - Mgr Tadeusz Rydzewski (1925-2022) , Bulletin of Plant Breeding and Acclimatization Institute: No. 297/298 (2022): Regular issue
- Bogusław Łapiński, Zygmunt Nita, Aleksandra Szołkowska, Patrycja Wieczorek, A hybrid of cultivated oat with the wild species Avena macrostachya as a source of new variation for yield quality improvement in naked oats , Bulletin of Plant Breeding and Acclimatization Institute: No. 270 (2013): Regular issue