MPB-2015v6n17 - page 29

Molecular Plant Breeding 2015, Vol.6, No.17, 1
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while those with < 60% probability memberships in
any single groups were assigned to a “mixed” group.
A stepwise forward canonical discriminant analysis
was run using SAS statistical package (SAS Institute
2003). Analysis of molecular variance (AMOVA) was
used to partition the variation among and within
groups using ARLEQUIN version 3.11. For both
discriminant analysis and AMOVA, the genotypes
were assigned into groups or populations using the
results from the phenotypic data, STRUCTURE and
cluster analysis (Appendix 3).
Authors’ contributions
All the authors participated in carrying out the experiments
towards generation of data. S assisted in handling of the
molecular data. JK, All the co-authors were involved in drafting
the manuscript and reviewing it for quality check. K, S and P
were the key supervisors of the research work as part of
advisory team for PhD research work.
Acknowledgement
The financial support by the Regional Universities Forum for
Capacity building in Agriculture (RUFORUM), International
Maize and Wheat Improvement Center (CIMMYT) and the
Syngenta Foundation for Sustainable Agriculture through the
Insect Resistant Maize for Africa (IRMA) Project is gratefully
acknowledged. Mr. Joel Mbithi, Andrew Chavangi, Mr. Patrick
Gichobi, Mr. Charles Marangu, Mrs.Veronica Ogungo, the
technical staff at KARI-Kiboko; and Mr. David Karuri, of
KARI-Embu, are recognized for their efforts in assisting with
the field trials and laboratory experiments.
References
Arnason J.T., Baum J., Gale J.D., Lambert R., Bergvinson D., Philogene
B.J., Serratos J.A., Mihm J., and Jewell D.C., 1994, Variation in
resistance of Mexican landraces of maize to maize weevil
Sitophilus
zeamais
, in relation to taxonomic and biochemical parameters,
Euphytica, 74: 227-236
Bertan I., Carvalho F., and Oliveria A., 2007, Parental selection strategies in
plant breeding programs, Journal of Crop Science and Biotechnology,
10: 211-222
Bohn M., Utz H., and Melchinger A., 1999, Genetic similarities among
winter wheat cultivars determined on the basis of RFLPs, AFLPs, SSRs
and their use for predicting progeny variance, Crop Science, 39: 228-237
Dhliwayo T., and Pixley K.V., 2003, Divergent selection for resistance to
maize weevil in six maize populations, Crop Science, 43: 2043-2049
Donini P., Law J., Koebner R., and Reeves J., 2000, Temporal trends in the
diversity of UK wheat, Theoretical Applied Genetics, 100: 912-917
Gupta P., Balyan H., Edwards K., Isaac P., Korzun V., Röder M., Gautier
M.F., Joudrier P., Schlatter A., Dubcovsky J., De la Pena R., Khairallah
M., Penner G., Hayden M., Sharp P., Keller B., Wang R., Hardouin J.,
Jack P., and Leroy P., 2002, Genetic mapping of 66 new microsatellite
(SSR) loci in bread wheat, Theoretical andApplied Genetics, 105: 413-422
Hamblin M., Warburton M., and Buuckle E., 2007, Empirical comparison of
simple sequence repeats and single nucleotide polymorphisms in
assessment of maize diversity and relatedness, PloS One, 2: e1367
Hamrick J.L., and Godt M.J.W., 1997, Allozyme diversity in cultivated
crops, Crop Science, 37: 26-30
Koebner R., Donini P., Reeves J., Cooke, R., and Law, J., 2002. Temporal
flux in the morphological and molecular diversity of UK barley,
Theoretical Applied Genetics, 106, 550-558
Lefebvre V., Goffinet B., Chauvet J., Caromel B., Signoret P., and Brand R.,
2000, Evaluation of genetic distances between pepper inbred lines for
cultivar protection purposes: Comparison of AFLP, RAPD, and
phenotypic data, Theoretical Applied Genetics, 102: 741-750
Maric S., Bolaric S., Martincˇic J., Pejic´ I., and Kozumplik V., 2004,
Genetic diversity of hexaploid wheat cultivars estimated by RAPD
markers, morphological traits and coefficients of parentage, Plant
Breeding, 123: 366-369
Mohammadi S., and Prasanna B., 2003, Analysis of genetic diversity in crop
plants-salient statistical tools and consideration, Crop Science, 43:
1235-1248
Mukhtar M., Rahman M., and Zafar Y., 2002, Assessment of genetic
diversity among wheat (
Triticum aestivum
L.) cultivars from a range of
localities across Pakistan using random amplified polymorphic DNA
(RAPD) analysis, Euphytica, 128: 417-425
Munyiri S.W., Okori P., Mugo S.N., Otim M., Gibson P., and Mwololo
J.K., 2010, Genetic diversity in maize landraces for resistance to
Chilo
partellus
in Kenya, In: Second RUFORUM Biennial Conference
proceedings held on 20- 24 September, 2010, Entebbe, Uganda,
pp.1003-1007
Mwololo J.K., Mugo S., Okori P., Tefera T., and Munyiri S.W., 2010,
Genetic diversity for resistance to larger grain borer in maize hybrids
and open pollinated varieties in Kenya, Second RUFORUM Biennial
Meeting, Kampala, Uganda, pp.535-539
Prasanna B., Pixley K., Warburton M., and Xie C.X., 2010, Molecular
marker-assisted breeding options for maize improvement in Asia,
Molecular Breeding, 26: 339-356
Pritchard J.K., Stephens M., and Donnelly P., 2000, Inference of population
structure using multilocus genotype data, Genetics, 155: 945-959
Reif J.C., Melchinger A.E., and Frish M., 2005, Genetical and mathematical
properties of similarity and dissimilarity coefficient applied in plant
breeding and seed bank management, Crop Sci., 45: 1-7
Roy J., Lakshmikumaran M., Balyan H., and Gupta P., 2004, AFLP-based
genetic diversity and its comparison with diversity based on SSR,
SAMPL, and phenotypic traits in bread wheat, Biochemical Genetics,
42: 43-59
SAS Institute, 2003, Statistical software system, Proceedings of the
Twenty-Eighth Annual SAS® Users Group International Conference,
Cary, NC, USA
Semagn K., 2014, Leaf tissue sampling and DNA extraction protocols. In:
Besse P.(ed.), Molecular plant taxonomy: methods and protocols,
Human Press, New York, pp.53-67
Semagn K., Magorokosho C., Ogugo V., Makumbi D., and Warburton M.L.,
2014, Genetic relationships and structure among open-pollinated maize
varieties adapted to eastern and southern Africa using microsatellite
markers, Molecular Breeding, pp.1-13
Semagn K., Magorokosho C., Vivek B.S., Makumbi D., Beyene Y., Mugo S.,
Prasanna B.M., and Warburton M.L., 2012, Molecular characterization
1...,19,20,21,22,23,24,25,26,27,28 30,31,32
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