Host status and phenotypic diversity of rice genotypes in relation to Pratylenchus brachyurus resistance

in Nematology
Restricted Access
Get Access to Full Text
Rent on DeepDyve

Have an Access Token?



Enter your access token to activate and access content online.

Please login and go to your personal user account to enter your access token.



Help

Have Institutional Access?



Access content through your institution. Any other coaching guidance?



Connect

The aim of this study was to assess the susceptibility of rice genotypes to Pratylenchus brachyurus and investigate the inheritance of resistance in the crop. Two experiments were conducted under controlled conditions, using naturally infested soil. Twenty-six rice genotypes were assessed, with maize used to show the susceptibility pattern. The maize was cultivated for 90 days and the initial nematode population was determined. Then, rice genotypes were cultivated, and the final nematode population and the reproduction factor (RF) were estimated 90 days after germination. All genotypes were susceptible to P. brachyurus in the two experiments but only one showed statistical differences, indicating variation in susceptibility, and genotypes Linhagem L03-107 and Cateto Amarelo scored higher than the control genotype, with RF of 8.80 and 9.48, respectively. Inheritance of resistance was poorly influenced by genotype genetics. Cluster analysis allowed the identification of five different groups of genotypes but there was low genetic variability among the genotypes.

Host status and phenotypic diversity of rice genotypes in relation to Pratylenchus brachyurus resistance

in Nematology

Sections

References

CastilloP.VovlasN. (2007). Pratylenchus (Nematoda: Pratylenchidae): diagnosis biology pathogenicity and management. Nematology Monographs and Perspectives 6 (Series editors: HuntD.J.PerryR.N.). Leiden, The NetherlandsBrill.

Conab (Companhia Nacional de Abastecimento) (2013). Acompanhamento da safra brasileira de grãos. Brasília Brazil Companhia Nacional de Abastecimento.

CoolenW.A.D’HerdeC.J. (1972). A method for the quantitative extraction of nematodes from plant tissue. Ghent, BelgiumState Agricultural Research Centre.

CrusciolC.A.C.MachadoA.C.Z.MachadoJ.R.ArfO.RodriguesR.A.F. (1999). Componentes de produção e produtividade de grãos de arroz de sequeiro em função do espaçamento e da densidade de semeadura. Scientia Agricola 5653-62.

CruzC.D. (2005). Componentes de variância. In: CruzC.D. (Ed.). Princípios de genética quantitativa. Viçosa, BrazilEditora UFV pp.  151-215.

FerrazL.C.C.B. (1999). Gênero Pratylenchus – os nematoides das lesões radiculares. Revisão Anual de Patologia de Plantas 7157-195.

FortunerR.MernyG. (1979). Root parasitic nematodes of rice. Revue de Nématologie 279-102.

GoulartA.M.C. (2008). Aspectos gerais sobre nematoides das lesões radiculares (gênero Pratylenchus). Documento 219. Planaltina Brazil Embrapa Cerrados.

GuimarãesC.M.StoneL.F. (2004). Arroz de Terras Altas em rotação com soja. Pesquisa Agropecuária Tropical 34127-132.

JenkinsW.R. (1964). A rapid centrifugal-flotation technique for separating nematodes from soil. Plant Disease Reporter 48692.

MachadoA.C.Z.MottaL.C.C.SiqueiraK.M.S.FerrazL.C.C.B.InomotoM.M. (2007). Host status of green manures for two isolates of Pratylenchus brachyurus in Brazil. Nematology 9799-805.

MachadoA.C.Z.SiqueiraK.M.S.FerrazL.C.C.B.InomotoM.M.BessiR.HarakavaR.OliveiraC.M.G. (2015). Characterization of Brazilian populations of Pratylenchus brachyurus using morphological and molecular analyses. Tropical Plant Pathology 40102-110.

OostenbrinkR. (1966). Major characteristics of the relation between nematodes and plants. Mededeelingen Landbouwhoogeschool 661-46.

Pimentel-GomesF. (1987). Curso de estatística experimental. São Paulo, BrazilLivrana Nobel.

R Core Team (2012). The R project for statistical computing. Vienna, AustriaR Foundation for Statistical Computing.

RackV.M.VigoloF.SantosP.S.SilvaR.A. (2013). Reação de cultivares de arroz de terras altas a dois isolados de Pratylenchus brachyurus. Connection Line 227-28.

RibeiroN.R.DiasW.P.HomechinJ.SilvaJ.F.V.FranciscoA. (2007). Avaliação da reação de espécies vegetais ao nematóide das lesões radiculares. In: Reunião de Pesquisa de Soja da Região Central do Brasil. Londrina, BrasilEmbrapa Soja pp.  64-65.

RigattoP.KohlzV.K. (1998). Economia da produção. In: PeskeS.T.NedelJ.L.BarrosA.C.S.A. (Eds). Produção de arroz. Pelotas, BrazilUFPEL pp.  555-641.

ScottA.KnottM. (1974). Cluster-analysis method for grouping means in analysis of variance. Biometrics 30507-512.

SiqueiraK.M.S.InomotoM.M. (2006). Reação de genótipos de caupi a Pratylenchus brachyurus. Nematologia Brasileira 20117.

SperandioC.A.AmaralA.S. (1994). Ocorrência de Meloidogyne graminicola causador da falsa bicheira do arroz irrigado no Rio Grande do Sul. Revista Lavoura Arrozeira 4718-21.

StarrJ.L.CookR.BridgeJ. (Eds) (2002). Plant resistance to parasitic nematodes. Wallingford, UKCAB International.

TancredS.J.ZeppaA.G.CooperM.StringerJ.K. (1995). Heritability and patterns of inheritance of the ripening date of apples. Hortscience 30325-328.

VencovskyR. (1987). Herança quantitativa. In: ViegasG.P. (Ed.). Melhoramento e produção de milho. Campinas, BrazilFundação Cargill pp.  137-214.

VencovskyR.BarrigaP. (1992). Genética biométrica no fitomelhoramento. Ribeirão Preto, BrazilSociedade Brasileira de Genética.

Figures

  • View in gallery

    Biplot showing the patterns of relationships among 26 rice genotypes inoculated with Pratylenchus brachyurus based on the first and second principal components for resistance parameters. Key: 1 = BRS Soberana, 2 = BRS Colosso, 3 = BRS Sertaneja, 4 = IPR 177, 5 = IAPAR 9, 6 = BRS Talento, 7 = L03-107, 8 = IAPAR 63, 9 = BRS Monarca, 10 = Cateto Amarelo, 11 = IAPAR 117, 12 = BRSMG Caravela, 13 = BRSMG Curinga, 14 = BRS Maravilha, 15 = ANA 9001, 16 = IAPAR 64, 17 = Riccetec Ecco CL, 18 = BRS Bonança, 19 = L05-A6, 20 = L06-1, 21 = BRS Serra Dourada, 22 = BRS Pepita, 23 = AN Cambará, 24 = L06-2, 25 = BRS Conai, 26 = BRS Primavera.

  • View in gallery

    Dendogram illustrating the dissimilarity among 26 rice genotypes obtained by Ward algorithm, based on Euclidean distance, calculated from average reproduction factor and number of nematodes (g root)−1.

Information

Content Metrics

Content Metrics

All Time Past Year Past 30 Days
Abstract Views 21 21 12
Full Text Views 51 51 34
PDF Downloads 5 5 1
EPUB Downloads 0 0 0