Literature DB >> 8533163

Mapping and manipulating quantitative traits in maize.

C W Stuber1.   

Abstract

Maize has been used effectively as a model organism in the development and evaluation of molecular markers for the identification, mapping and manipulation of major genes affecting the expression of quantitative traits in plants. Although quantitative geneticists have recognized the possibility of major loci, the general dogma had emerged that quantitative traits were controlled by many loci, each with a small effect. This interpretation sent a quantitative traits because it would be essentially impossible to isolate a gene responsible for the trait. Recent results from numerous mapping studies have shown that quantitative traits are controlled by, at least some, factors with major effects, and have given credibility to the conclusion that major loci exist and that one might be able to study them. Positive results from marker-facilitated selection and introgression studies have further strengthened this conclusion.

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Year:  1995        PMID: 8533163     DOI: 10.1016/s0168-9525(00)89156-8

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  10 in total

Review 1.  Do animal models have a place in the genetic analysis of quantitative human behavioural traits?

Authors:  J Flint; R Corley
Journal:  J Mol Med (Berl)       Date:  1996-09       Impact factor: 4.599

2.  B73-Mo17 near-isogenic lines demonstrate dispersed structural variation in maize.

Authors:  Steven R Eichten; Jillian M Foerster; Natalia de Leon; Ying Kai; Cheng-Ting Yeh; Sanzhen Liu; Jeffrey A Jeddeloh; Patrick S Schnable; Shawn M Kaeppler; Nathan M Springer
Journal:  Plant Physiol       Date:  2011-06-24       Impact factor: 8.340

3.  Genetic mapping of quantitative trait loci affecting susceptibility to Marek's disease virus induced tumors in F2 intercross chickens.

Authors:  R L Vallejo; L D Bacon; H C Liu; R L Witter; M A Groenen; J Hillel; H H Cheng
Journal:  Genetics       Date:  1998-01       Impact factor: 4.562

4.  The association of flowering time quantitative trait loci with duplicated regions and candidate loci in Brassica oleracea.

Authors:  E J Bohuon; L D Ramsay; J A Craft; A E Arthur; D F Marshall; D J Lydiate; M J Kearsey
Journal:  Genetics       Date:  1998-09       Impact factor: 4.562

5.  QTL mapping for European corn borer resistance ( Ostrinia nubilalis Hb.), agronomic and forage quality traits of testcross progenies in early-maturing European maize ( Zea mays L.) germplasm.

Authors:  C Papst; M Bohn; H F Utz; A E Melchinger; D Klein; J Eder
Journal:  Theor Appl Genet       Date:  2004-03-09       Impact factor: 5.699

6.  Identification of trait-improving quantitative trait loci alleles from a wild rice relative, Oryza rufipogon.

Authors:  J Xiao; J Li; S Grandillo; S N Ahn; L Yuan; S D Tanksley; S R McCouch
Journal:  Genetics       Date:  1998-10       Impact factor: 4.562

Review 7.  Genetic dissection of root formation in maize (Zea mays) reveals root-type specific developmental programmes.

Authors:  Frank Hochholdinger; Katrin Woll; Michaela Sauer; Diana Dembinsky
Journal:  Ann Bot       Date:  2004-02-23       Impact factor: 4.357

8.  Epistatic association mapping in homozygous crop cultivars.

Authors:  Hai-Yan Lü; Xiao-Fen Liu; Shi-Ping Wei; Yuan-Ming Zhang
Journal:  PLoS One       Date:  2011-03-15       Impact factor: 3.240

9.  Advances in maize genomics and their value for enhancing genetic gains from breeding.

Authors:  Yunbi Xu; Debra J Skinner; Huixia Wu; Natalia Palacios-Rojas; Jose Luis Araus; Jianbing Yan; Shibin Gao; Marilyn L Warburton; Jonathan H Crouch
Journal:  Int J Plant Genomics       Date:  2009-08-12

10.  Comparative profiling of the sense and antisense transcriptome of maize lines.

Authors:  Jiong Ma; Darren J Morrow; John Fernandes; Virginia Walbot
Journal:  Genome Biol       Date:  2006-03-13       Impact factor: 13.583

  10 in total

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