Journal of Crop Science and Biotechnology

, Volume 19, Issue 4, pp 263–273 | Cite as

Genotypic variation in abscisic acid content, carbon isotope ratio and their relationship with cassava growth and yield under moisture stress and irrigation

  • J. Adjebeng-Danquah
  • J. Manu-Aduening
  • V. E. Gracen
  • S. K. Offei
  • I. K. Asante
Research Article
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  • 66 Downloads

Abstract

This study was carried out to assess genotypic variability in abscisic acid content, carbon isotope ratio, and their relationship to storage root yield and yield components in cassava under irrigation and moisture stress. The study involved 20 cassava genotypes arranged in randomized complete block design with three replications. Irrigation water was applied using a drip irrigation system with a discharge rate of approximately 5.33 L m-2 hr-1. Significant (P < 0.05) genotypic variability was observed for all physiological, growth, and yield traits assessed. Abscisic acid content was higher under stress than irrigation and negatively correlated with root yield (r = -0.45), harvest index (r = -0.43), and above-ground biomass yield (r = -0.20) indicating that it can be used as indirect selection criteria against unproductive genotypes. Carbon isotope ratio was significantly and positively correlated with above-ground biomass yield (r = 0.20) but not root yield (r = 0.09). Estimates of genotypic variability indicated high values for most of the growth and yield components but low heritability values for abscisic acid content, carbon isotope ratio, stomatal conductance, and root yield under stress conditions. However, higher estimates were recorded under irrigation and in the combined analysis. It was also found from this study that carbon isotope ratio influences above-ground biomass but not storage root yield under stress conditions. The results from this study provide useful information on the relationship between abscisic acid content, carbon isotope discrimination, and storage root yield in field-grown cassava.

Key words

genotypic variability abscisic acid root yield carbon isotope ratio broad sense heritability 
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References

  1. Adjebeng-Danquah J, Gracen V, Offei, SK, Asante IK, Manu-Aduening J. 2016. Agronomic performance and genotypic diversity for morphological traits cassava genotypes in the guinea savannah ecology of Ghana. J. Crop Sci. Biotechnol. 19(1): 99–108CrossRefGoogle Scholar
  2. Aina OO, Dixon AGO, Akinrinde EA. 2007. Effect of soil moisture stress on growth and yield of cassava in Nigeria. Pak. J. Biol. Sci. 10(18): 3085–3090CrossRefPubMedGoogle Scholar
  3. Aina OO, Dixon AGO, Illona P, Akinrinde EA. 2009. GxE interaction effects on yield and yield components of cassava (landraces and improved) genotypes in the savannah regions of Nigeria. Afr. J. Biotechnol. 8(19): 4933–4945Google Scholar
  4. Akinwale MG, Akinyele BO, Dixon AGO, Odiyi AC. 2010. Genetic variability among forty-three cassava genotypes in three agro-ecological zones of Nigeria. J. Plant Breed. Crop Sci. 2(5): 104–109Google Scholar
  5. Alves AAC, Setter TL. 2004a. Abscisic acid accumulation and osmotic adjustment in cassava under water deficit. Environ. Exp. Bot. 51: 259–271CrossRefGoogle Scholar
  6. Alves AAC, Setter TL. 2004b. Response of cassava leaf area expansion to water deficit: Cell proliferation, cell expansion and delayed development. Ann. Bot. 94: 605–613CrossRefPubMedPubMedCentralGoogle Scholar
  7. Araus JL, Slafer GA, Reynolds MP, Royo C. 2002. Plant breeding and drought in C3 cereals: what should we breed for? Ann. Bot. 89: 925–940CrossRefPubMedPubMedCentralGoogle Scholar
  8. Arunyanark A, Jogloy S, Akkasaeng C, Vorasoot N, Kesmala T, Nageswara-Rao RC, Wright GC, Patanothai A. 2008. Chlorophyll stability is an indicator of drought tolerance in peanut. J. Agron. Crop Sci. 194: 113–125CrossRefGoogle Scholar
  9. Aspiazu I, Sediyama T, Ribeiro Jr JI, Silva AA, Concenco G, Ferreira EA, Galon L, Silva AF, Borges ET, Araujo WF. 2010. Photosynthetic activity of cassava plants under weed competition. Planta daninha (online), 28: 963–968CrossRefGoogle Scholar
  10. Blum A. 2005. Drought resistance, water-use efficiency, and yield potential-are they compatible, dissonant, or mutually exclusive? Aust. J. Agri. Res. 56: 1159–1168CrossRefGoogle Scholar
  11. 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: 119–123CrossRefGoogle Scholar
  12. Blum A. 2011. Plant Water Relations, Plant Stress and Plant Production. Breeding plants for water limited environments, 258 ppCrossRefGoogle Scholar
  13. Byju G, Haripriya-Anand M. 2009. Leaf colour chart and chlorophyll-meter-based leaf nitrogen estimation and their threshold values for real-time nitrogen management in cassava. Commun. Soil Sci. Plant Anal, 40(17–18): 2816–2832CrossRefGoogle Scholar
  14. Ceballos H, Iglesias CA, Pérez JC, Dixon AGO. 2004. Cassava breeding: opportunities and challenges. Plant Mol. Biol. 56: 503–516CrossRefPubMedGoogle Scholar
  15. Condon AG, Richards RA, Rebetzke GJ, Farquhar GD. 2004. Breeding for high water-use efficiency. J. Exp. Bot. 55(407): 2447–2460CrossRefPubMedGoogle Scholar
  16. Delgado MI, Reynolds MP, Larque-Saavedra A, Nava TS. 1994. Genetic diversity for photosynthesis in wheat under heat stressed environment and its relationship to productivity. Wheat Programme Special Report 30, Mexico, CIMMYTGoogle Scholar
  17. Duque LO, Setter TL. 2013. Cassava response to water deficit in deep pots: root and shoot growth, ABA, and carbohydrate reserves in stems, leaves and storage roots. Trop. Plant Biol. 6: 199–209CrossRefGoogle Scholar
  18. Edmeades GO, Bolanos J, Elings A, Ribaut J-M, Banziger M, Westgate ME. 2000. The role and regulation of the anthesissilking interval in maize. In: ME Westgate, KJ Boote, Eds, Physiology and Modelling Kernel Set in Maize. CSSA Special Publication No. 29. CSSA, Madison, WI, pp 43–73Google Scholar
  19. El-Sharkawy MA. 2004. Cassava biology and physiology. Plant Mol. Biol. 56: 481–501CrossRefPubMedGoogle Scholar
  20. El-Sharkawy MA. 2007. Physiological characteristics of cassava tolerance to prolonged drought in the tropics: Implications for breeding cultivars adapted to seasonally dry and semiarid environments. Braz. J. Plant Physiol. 19(4): 257–286CrossRefGoogle Scholar
  21. El-Sharkawy MA, De Tafur SM. 2007. Genotypic and within canopy variation in leaf carbon isotope discrimination and its relation to short-term leaf gas exchange characteristics in cassava grown under rain-fed conditions in the tropics. Photosynthetica 45(4): 515–526CrossRefGoogle Scholar
  22. EPA. 2003. National Action Programme to Combat Drought and Desertification Final Report. Environmental Protection Agency Accra-Ghana, 160 ppGoogle Scholar
  23. Haripriya-Anand M, Byju G. 2008. Chlorophyll meter and leaf colour chart to estimate chlorophyll content, leaf colour and yield of cassava. Photosynthetica 46(4): 511–516CrossRefGoogle Scholar
  24. Karimizadeh R, Mohammadi M, Ghaffaripour S, Karimpour F, Shefazadeh MK. 2011. Evaluation of physiological screening techniques for drought-resistant breeding of durum wheat genotypes in Iran. Afr. J. Biotechnol. 10(56): 12107–12117Google Scholar
  25. Lenis JI, Calle F, Jaramillo G, Perez JC, Ceballos H, Cock JH. 2006. Leaf retention and cassava productivity. Field Crops Res. 95: 126–134CrossRefGoogle Scholar
  26. Monneveux P, Ramírez DA, Pino MT. 2013. Drought tolerance in potato (S. tuberosum L.) Can we learn from drought tolerance research in cereals? Plant Sci. 205–206: 76–86CrossRefPubMedGoogle Scholar
  27. Ntawuruhunga P, Dixon AGO. 2010. Quantitative variation and interrelationship between factors influencing cassava yield. J. Appl. Biosci. 26: 1594–1602Google Scholar
  28. Okogbenin E, Ekanayake IJ, Porto MCM (2003). Genotypic variability in adaptation responses of selected cassava clones to drought stress in the Sudan Savannah Zone of Nigeria. J. Agron. Crop Sci. 189: 376–389CrossRefGoogle Scholar
  29. Okogbenin E, Setter TL, Ferguson ME, Mutegi R, Ceballos H, Olasanmi B, Fregene M. 2013. Phenotypic approaches to drought in cassava: Review. In: P Monneveux, J-M Ribaut, Eds, Front. Physiol. 4(93): 1–15Google Scholar
  30. Paknejad F, Nasri M, Reza H, Moghadam T, Zahedi H, Alahmadi MJ. 2007. Effects of drought stress on chlorophyll fluorescence parameters, chlorophyll content and grain yield of wheat cultivars. J. Biol. Sci. 7: 841–847CrossRefGoogle Scholar
  31. Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM 2009. Genstat for Windows (12th Ed.) Introduction. VSN International, Hemel HempsteadGoogle Scholar
  32. Prashar A, Yildiz J, McNicol JW, Bryan GJ, Jones HG. 2013. Infra-red thermography for high throughput field phenotyping in Solanum tuberosum, PLoSONE 8(6): e65816. doi:10.1371/journal.pone.0065816CrossRefGoogle Scholar
  33. Rebetzke GJ, Condon AG, Richards RA, Farquhar GD. 2002. Selection for reduced carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Sci. 42: 739–745CrossRefGoogle Scholar
  34. Sanchez FJ, Manzanares M, de Andres EF, Tenorio JL, Ayerbe L. 2001. Residual transpiration rate, epicuticular wax load and leaf colour of pea plants in drought conditions. Influence on harvest index and canopy temperature. Eur. J. Agron. 15: 57–70CrossRefGoogle Scholar
  35. Setter TL, Flannigan BA, Melkonian J. 2001. Loss of kernel set due to water deficit and shade in maize. Crop Sci. 41: 1530–1540CrossRefGoogle Scholar
  36. Setter TL, Parra R. 2010. Relationship of carbohydrate and abscisic acid levels to kernel set in maize under post pollination water deficit. Crop Sci. 50: 980–988CrossRefGoogle Scholar
  37. Sharp RE, LeNoble ME. 2001. ABA, ethylene and the control of shoot and root growth under water stress. J. Exp. Bot. 53: 33–37CrossRefGoogle Scholar
  38. This D, Borries C, Souyris I, Teulat B. 2000. QTL study of chlorophyll content as a genetic parameter of drought tolerance in barley. Barley Genet. Newsl. 30: 20–23Google Scholar
  39. Turyagyenda FL, Kizito EB, Baguma Y, Osiru D. 2013. Evaluation of Ugandan cassava germplasm for drought tolerance. Intl. J. Agri. Crop Sci. 5(3): 212–226Google Scholar
  40. van der Mescht A, de Ronde JA, Rossouw FT. 1999. Chlorophyll fluorescence and chlorophyll content as a measure of drought tolerance in potato. S. Afr. J. Sci. 95: 407–412Google Scholar
  41. Wolie A, Dessalegn T, Belete K. 2013. Heritability, variance components and genetic advance of some yield and yield related traits in Ethiopian collections of finger millet (Eleusine coracana (L.) Gaertn.) genotypes. Afr. J. Biotechnol. 12(36): 5529–5534Google Scholar
  42. Zhang JH, Davies WJ. 1990. Changes in the concentration of ABA in xylem sap as a function of changing soil-water status can account for changes in leaf conductance and growth. Plant Cell Environ. 13(3): 277–285CrossRefGoogle Scholar

Copyright information

© Korean Society of Crop Science and Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • J. Adjebeng-Danquah
    • 1
  • J. Manu-Aduening
    • 2
  • V. E. Gracen
    • 3
    • 4
  • S. K. Offei
    • 4
  • I. K. Asante
    • 4
  1. 1.CSIR-Savanna Agricultural Research InstituteTamaleGhana
  2. 2.CSIR-Crops Research InstituteKumasiGhana
  3. 3.Cornell UniversityIthacaUSA
  4. 4.West Africa Center for Crop Improvement (WACCI)/University of GhanaLegonGhana

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