Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Martha T. Hamblin"'
Autor:
Sivakumar Sukumaran, Wenwen Xiang, Scott R. Bean, Jeffrey F. Pedersen, Stephen Kresovich, Mitchell R. Tuinstra, Tesfaye T. Tesso, Martha T. Hamblin, Jianming Yu
Publikováno v:
The Plant Genome, Vol 5, Iss 3, Pp 126-135 (2012)
Knowledge of the genetic bases of grain quality traits will complement plant breeding efforts to improve the end-use value of sorghum [ (L.) Moench]. Candidate gene association mapping was used on a diverse panel of 300 sorghum accessions to assess m
Externí odkaz:
https://doaj.org/article/e98ce9d940bb41b5a40df3f192865715
Autor:
Martha T. Hamblin, Jean-Luc Jannink
Publikováno v:
The Plant Genome, Vol 4, Iss 2, Pp 145-153 (2011)
An important, unresolved question in genome-wide association studies is whether there are predictable differences in power between single nucleotide polymorphism (SNP) and haplotype markers. In this study, we use coalescent simulations to compare pow
Externí odkaz:
https://doaj.org/article/12893e3946414ec9819acb25f3cf15f8
Publikováno v:
The Plant Genome, Vol 2, Iss 1, Pp 48-62 (2009)
Sweet sorghum [ (L.) Moench], like its close relative, sugarcane ( spp.), has been selected to accumulate high levels of edible sugars in the stem. Sweet sorghums are tall and produce high biomass in addition to sugar. Little has been documented abou
Externí odkaz:
https://doaj.org/article/b95732089bb54d7cb4e41f736bd08695
Publikováno v:
Memorias do Instituto Oswaldo Cruz, Vol 82, Pp 109-114 (1987)
We have been interested in identifying genes that play a role in reproduction of the mosquito Aedes aegypti. Our interests are currently focused on the vitellogenin genes which in the mosquito are expressed only in the fat body in response to the ins
Externí odkaz:
https://doaj.org/article/c893a12a2d4b46c094799643d2c9f280
Publikováno v:
PLoS ONE, Vol 2, Iss 12, p e1367 (2007)
While Simple Sequence Repeats (SSRs) are extremely useful genetic markers, recent advances in technology have produced a shift toward use of single nucleotide polymorphisms (SNPs). The different mutational properties of these two classes of markers r
Externí odkaz:
https://doaj.org/article/93bc516a5e23436c85df766423c233b1
Autor:
Stephen Kresovich, Katie Jo Strand, Mark E. Westgate, Martha T. Hamblin, Emily A. Heaton, Maria G. Salas Fernandez
Publikováno v:
Genetic Resources and Crop Evolution. 62:939-950
Carbon assimilation is the fundamental basis of crop productivity, but this important and complex trait has not been genetically characterized and directly exploited at the commercial level to improve yield. Therefore, there is a critical need to det
Autor:
Martha T. Hamblin, Ismail Y. Rabbi
Publikováno v:
Crop Science. 54:2603-2608
Compared with other reduced-representation sequencing methods, library construction for genotyping-by-sequencing (GBS) is simpler and less expensive. However, elimination of sizeselection steps results in libraries of more variable fragment size than
Autor:
Martha T. Hamblin, Andrew Smith Ikpan, Ismail Y. Rabbi, Jean-Luc Jannink, Peter Kulakow, Melaku Gedil, Delphine Ly, Morag Ferguson
Publikováno v:
Crop Science. 54:1384-1396
Cassava (Manihot esculenta L.) is one of the most important food crops in the tropics, but yields are far below their potential. The gene pool of cas- sava contains natural genetic diversity relevant to many important breeding goals, but breeding pro
Autor:
Melaku Gedil, Ismail Y. Rabbi, Martha T. Hamblin, Peter Kulakow, P. Lava Kumar, Jean-Luc Jannink, Andrew Smith Ikpan
Publikováno v:
Virus Research. 186:87-96
Cassava mosaic disease (CMD), caused by different species of cassava mosaic geminiviruses (CMGs), is the most important disease of cassava in Africa and the Indian sub-continent. The cultivated cassava species is protected from CMD by polygenic resis
Autor:
Alfred G.O. Dixon, Peter Kulakow, Martha T. Hamblin, R.U. Okechukwu, Delphine Ly, Gedil Melaku, Hugh G. Gauch, Ismail Y. Rabbi, Jean-Luc Jannink, Moshood Bakare
Publikováno v:
Crop Science. 53:1312-1325
Before implementation of genomic selection, evaluation of the potential accuracy of prediction can be obtained by cross-validation. In this procedure, a population with both phenotypes and genotypes is split into training and validation sets. The pre