Euphytica

, Volume 206, Issue 1, pp 77–87 | Cite as

Response of drought tolerant maize inbreds to water stress under nematode infested conditions

  • Frank Kagoda
  • Sarah Hearne
  • Omowumi Adewuyi
  • Daniel L. Coyne
Article

Abstract

Maize is the most important cereal food crop is sub-Saharan Africa though yields are below their potential. Among the factors which limit yield, drought stress is one of the most pervasive. The ability of a crop to produce grain under drought (water) stress is governed by many factors including nematodes. The aim of the current study was to determine the response of drought tolerant maize inbreds to nematode attack, understand the interaction between nematode infestation and water stress on maize growth and yield. The study comprised three factors: optimal irrigation against water stress, five nematode treatment conditions and ten maize inbreds. Results showed irrigation option × genotype interaction to significantly affect growth of the maize crop from 6 weeks after planting. Water stress favoured the reproduction of lesion nematodes (Pratylenchus zeae), 50 times more than root knot nematodes (Meloidogyne incognita), which showed an increase in most inbreds only under optimal irrigation. Inbreds ACR.SYN-W, La Posta Seq. C7, TZL Comp1C4 and 5057 displayed resistance to P. zeae and M. incognita under water stress, although cob dry weights were low for TZL Comp1C4 and 5057. Inbreds BMB23, DTPL-W-C7 and TZEI1 displayed tolerance to P. zeae and M. incognita under water stress. Overall, there is a high possibility of extracting desired genetic combination for P. zeae/M. incognita resistant and drought tolerant genes from inbreds ACR.SYN-W and La Posta Seq. C7.

Keywords

Lesion nematodes Meloidogyne incognita Pratylenchus zeae Root knot nematodes 

References

  1. AATF (2010a) Mitigating the impact of drought in Tanzania: the WEMA intervention. African Agricultural Technology Foundation (AATF) and the Tanzania Commission for Science and Technology (COSTECH). Policy Brief, November 2010. http://www.aatf-africa.org
  2. AATF (2010b) Enhancing maize productivity in Uganda through the WEMA project. African Agricultural Technology Foundation (AATF) and the National Agricultural Research Organisation of Uganda (NARO). http://www.aatf-africa.org
  3. Adebayo M, Menkir A, Blay E, Gracen V, Danquah E, Hearne S (2014) Genetic analysis of drought tolerance in adapted ×exotic crosses of maize inbred lines under managed stress conditions. Euphytica 196(2):261CrossRefGoogle Scholar
  4. Arim OJ, Waceke JW, Waudo SW, Kimenju JW (2006) Effects of Canavalia ensiformis and Mucuna pruriens intercrops on Pratylenchus zeae damage and yield of maize in subsistence agriculture. Plant Soil 284:243–251CrossRefGoogle Scholar
  5. Badu-Apraku B, Akinwale RO (2011) Identification of early-maturing maize inbred lines based on multiple traits under drought and low N environments for hybrid development and population improvement. Can J Plant Sci 91:931–942CrossRefGoogle Scholar
  6. Badu-Apraku B, Akinwale RO, Fakorede MAB (2010) Selection of early maturing maize inbred lines for hybrid production using multiple traits under striga-infested and striga-free environments. Maydica 55:261–274Google Scholar
  7. Brodie BB, Good JM, Adams WE (1969) Population dynamics of plant nematodes in cultivated soil: effect of sod-based based rotation in Cecil sandy loam. J Nematol 1:309–312PubMedCentralPubMedGoogle Scholar
  8. Cairns JE, Crossa J, Zaidi PH, Grudloyma P, Sanchez C, Araus JL, Thaitad S, Makumbi D, Magorokosho C, Bänziger M, Menkir A, Hearne S, Atlin GN (2013) Identification of drought, heat, and combined drought and heat tolerant donors in maize. Crop Sci 53:1335–1346Google Scholar
  9. Cardwell KF, Schulthess F, Ndemah R, Ngoko Z (1997) A systems approach to assess crop health and maize yield losses due to pests and diseases in Cameroon. Agric Ecosyst Environ 65:33–47CrossRefGoogle Scholar
  10. Cody RP, Smith JK (1997) Applied statistics and the SAS programming language, 4th edn. Prentice Hall, New JerseyGoogle Scholar
  11. Collins NC, Tardieu F, Tuberosa R (2008) Quantitative trait loci and crop performance under abiotic stress: where do we stand? Plant Physiol 147:469–486PubMedCentralCrossRefPubMedGoogle Scholar
  12. Coyne DL, Nicol JM, Claudius-Cole B (2007) Practical plant nematology: a field and laboratory guide. SP-IPM Secretariat, IITA, CotonouGoogle Scholar
  13. De Groote H (2002) Maize yield losses from stemborers in Kenya. Insect Sci Appl 22:89–96Google Scholar
  14. DeVries J, Toenniessen G (2001) Securing the harvest, biotechnology, breeding and seed systems for african crops. CAB International, New YorkGoogle Scholar
  15. Dropkin VH (1989) Introduction to plant nematology. Wiley, New YorkGoogle Scholar
  16. Esker P, MacGuidwin A, Proost R (2011) Nematodes: the overlooked yield robbers in corn and soybean. http://ipcm.wisc.edu. Verified 23 Nov 2013
  17. FAOSTAT (2013) Food and Agriculture Organisation Statistics. http://faostat3.fao.org. Verified 21 Nov 2013
  18. Grant RF, Jackson BS, Kiniry JR, Arkin GF (1989) Water deficit timing effects on yield components in maize. Agron J 81:61–65CrossRefGoogle Scholar
  19. Hammer O, Harper DAT, Ryan PD (2001) PAST: Paleontological Statistics Software package for education and data analysis. Palaeontol Electron 4(1):9Google Scholar
  20. Hussey RS, Barker KR (1973) A comparison of methods of collecting inocula of Meloidogyne species, including a new technique. Plant Dis Rep 57:1025–1028Google Scholar
  21. Ibrahim K, Amans A, Abubakar IU (2000) Growth indices and yield of Tomato (Lycopersicon esculentum karest) varieties as influenced by crop spacing at samaru. In: Proceedings of the 18th HORTSON conference proceedings (1), pp 40–47Google Scholar
  22. Infonet-Biovision (2009) Maize—general information and agronomical aspects. http://www.infonet-biovision.org/default/ct/123/crops. Verified 5 Nov 2013
  23. Johnson AW, Nusbaum CJ (1970) Interactions between Meloidogyne incognita, M. hapla, and Pratylenchus brachyurus in Tobacco. J Nematol 2(4):334–340PubMedCentralPubMedGoogle Scholar
  24. Jordaan EM, De Waele D, Van Rooyen PJ (1989) Endoparasitic nematodes in maize roots in the Western Transvaal as related to soil texture and rainfall. J Nematol 21:356–360PubMedCentralPubMedGoogle Scholar
  25. Kagoda F, Derera J, Tongoona P, Coyne DL, Talwana HL (2011) Grain yield and heterosis of maize hybrids under nematode infested and nematicide treated conditions. J Nematol 43(3–4):203–213Google Scholar
  26. Kim SK, Adetimirin VO, The C, Dossou R (2002) Yield losses in maize due to Striga hermonthica in West and Central Africa. Int J Pest Manag 48:211–217CrossRefGoogle Scholar
  27. Kimenju JW, Waudo SW, Mwang’ombe AW, Sikora RA, Schuster RP (1998) Distribution of lesion nematodes associated with maize in Kenya and susceptibility of maize cultivars to Pratylenchus zeae. Afr Crop Sci J 6:367–375Google Scholar
  28. McDonald AH, Nicol JM (2005) Nematode parasites of cereals. In: Luc M, Sikora RA, Bridge J (eds) Plant-parasitic nematodes in subtropical and tropical agriculture, 2nd edn. CABI Publishing, Egham, pp 131–191CrossRefGoogle Scholar
  29. McKee GW, McGahen JH, Peiffer RA, Allen JR (1974) Interrelationships of maturity, leaf area index, time of black layer formation, heat units and yield of 120 corn hybrids. Agronomy Abstracts No. 87Google Scholar
  30. Mittler R (2006) Abiotic stress, the field environment and stress combination. Trends Plant Sci 11:15–19CrossRefPubMedGoogle Scholar
  31. Ngobeni GL, Fourie H, McDonald AH, Mashela PW (2011) Host suitability of selected South African maize genotypes to the root-knot nematode species Meloidogyne incognita race 2 and Meloidogyne javanica: a preliminary study. S Afr J Plant Soil 28(1):49–54CrossRefGoogle Scholar
  32. Olowe T, Corbett DCM (1976) Aspects of the biology of Pratylenchus brachyurus and P. zeae. Nematologica 22:202–211CrossRefGoogle Scholar
  33. Oostenbrink M (1966) Major characteristics of the relation between nematodes and plants. Mededlingen voor landbouwhogesch Wagening 66:3–46Google Scholar
  34. Oyekanmi EO (2007) Screening of selected microorganisms and maize genotypes for Pratylenchus zeae management and improved yield of Zea mays L. M.Phil Thesis, University of Ibadan, NigeriaGoogle Scholar
  35. Pingali PL, Pandey S (2000) Meeting world maize needs: technological opportunities and priorities for the public sector. In: Pingali PL (ed) CIMMYT 1999–2000 World Maize Facts and Trends. CIMMYT, Mexico, D.F, pp 28–53Google Scholar
  36. SAS Institute Inc. (1999) Procedures Guide, Version 8. SAS Institute Inc., 1999, Cary, p 1729Google Scholar
  37. Smit AL, Vamerali T (1998) The influence of potato cyst nematodes (Globodera pallida) and drought on rooting dynamics of potato (Solanum tuberosum L.). Eur J Agron 9:137–146Google Scholar
  38. Snedecor G, Cochran W (1989) Statistical methods, 8th edn. Iowa State University Press, AmesGoogle Scholar
  39. Steel RGD, Torrie JH (1980) Principles and procedures for statistics, 2nd edn. McGraw-Hill Book Co., New YorkGoogle Scholar
  40. Swarup G, Sossa-Moss C (1990) Nematode parasites of cereals. In: Luc M, Sikora RA, Bridge J (eds) Plant parasitic nematodes in subtropical and tropical agriculture. CAB International, Wallingford, pp 109–136Google Scholar
  41. Talwana HL, Butseya MM, Tusime G (2008) Occurrence of plant parasitic nematodes and factors that enhance population build-up in cereal-based cropping systems in Uganda. Afr Crop Sci J 16:119–131Google Scholar
  42. Whitehead AG, Hemming JR (1965) A comparison of some quantitative methods of extracting small vermiform nematodes from soil. Ann Appl Biol 55:25–38CrossRefGoogle Scholar
  43. Williamson VM, Roberts PA (2009) Mechanisms and genetics of resistance. In: Perry R, Moens M, Starr J (eds) Root-knot nematodes. CAB International, Wallingford, pp 301–325CrossRefGoogle Scholar
  44. Zsuzsanna Z, Zsuzsanna, GH, Otto I, Istvan P, Ferenc R, and Csaba S (2002) Inheritance of plant and ear height in maize (Zea mays L.). In: Acta-Agraria/2002Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Frank Kagoda
    • 1
  • Sarah Hearne
    • 2
  • Omowumi Adewuyi
    • 2
  • Daniel L. Coyne
    • 2
  1. 1.National Agricultural Research Organization, Buginyanya ZARDIMayugeUganda
  2. 2.International Institute of Tropical Agriculture (IITA)IbadanNigeria

Personalised recommendations