000			03955nam a22004695i 4500
001			978-0-387-36011-9
003			DE-He213
005			20250710083955.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387360119 _a99780387360119
024	7		_a10.1007/978-0-387-36011-9 _2doi
082	0	4	_a581.35 _223
100	1		_aOraguzie, Nnadozie C. _eeditor.
245	1	0	_aAssociation Mapping in Plants _h[recurso electrónico] / _cedited by Nnadozie C. Oraguzie, Erik H. A. Rikkerink, Susan E. Gardiner, H. Nihal Silva.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_aIX, 277 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aAn Overview of Association Mapping -- Linkage Disequilibrium -- What Are SNPs? -- Single Nucleotide Polymorphism Discovery -- Single Nucleotide Polymorphism Genotyping in Plants -- SNP Applications in Plants -- Linkage Disequilibrium Mapping Concepts -- Statistical Analysis and Experimental Design -- Linkage Disequilibrium-Based Association Mapping in Forage Species -- Gene-Assisted Selection Applications of Association Genetics for Forest Tree Breeding -- Prospects of Association Mapping in Perennial Horticultural Crops.
520			_aFor the past decade, there has been success in using conventional map-based strategies in identification and cloning of quantitative trait loci (QTL) in model plant species including tomato and Arabidopsis. These quantitative traits are generally the products of many loci with varying degrees of effect upon the observed phenotypes. Recently, a new approach to genetic mapping has emerged called association mapping. This new technique takes into account the thousands of genes to evaluate for QTL effect and is a more efficient approach that does not require generation of segregating populations/large numbers of progeny. As it can utilize all of the historic recombination events in a diverse population of individuals it can generate higher resolution genetic maps and, is needed to complement current map based cloning methods. Association Mapping in Plants provides both basic and advanced understanding of association mapping and an awareness of population genomics tools to facilitate mapping and identification of the underlying causes of quantitative trait variation in plants. It acts as a useful review of the marker technology, the statistical methodology, and the progress to date. It also offers guides to the use of single nucleotide polymorphisms (SNPs) in association studies. This book will appeal to all those with an interest in plant genetics, plant breeding, and plant genomics. About the Editors: Dr. Nnadozie C. Oraguzie is a Senior Scientist in Genetics at the Horticulture and Food Research Institute of New Zealand Ltd (HortResearch). Dr. Erik H. A. Rikkerink is a Science Leader at HortResearch, New Zealand. Dr. Susan E. Gardiner is a Principal Scientist and leader of the Gene Mapping research team at HortResearch, New Zealand. Dr. H. Nihal De Silva is a Senior Scientist of Biometrics at HortResearch, New Zealand.
650		0	_aLIFE SCIENCES.
650		0	_aAGRICULTURE.
650		0	_aBOTANY.
650		0	_aPLANT BREEDING.
650	1	4	_aLIFE SCIENCES.
650	2	4	_aPLANT GENETICS & GENOMICS.
650	2	4	_aPLANT SCIENCES.
650	2	4	_aAGRICULTURE.
700	1		_aRikkerink, Erik H. A. _eeditor.
700	1		_aGardiner, Susan E. _eeditor.
700	1		_aSilva, H. Nihal. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387358444
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-36011-9 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBL
942			_2ddc _cER
999			_c57475 _d57475