A bioinformatic and transcriptomic approach to identifying positional candidate genes without fine mapping: an example using rice root-growth QTLs.
about
Improved resolution in the position of drought-related QTLs in a single mapping population of rice by meta-analysis.Common and distinct organ and stress responsive transcriptomic patterns in Oryza sativa and Arabidopsis thaliana.Construction of a potato consensus map and QTL meta-analysis offer new insights into the genetic architecture of late blight resistance and plant maturity traitsFine mapping QTL for drought resistance traits in rice (Oryza sativa L.) using bulk segregant analysis.QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1Genome-wide association mapping for root traits in a panel of rice accessions from Vietnam3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architectureUnraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus.How do roots elongate in a structured soil?Polymorphisms in the AOX2 gene are associated with the rooting ability of olive cuttings.Tolerance to mild salinity stress in japonica rice: A genome-wide association mapping study highlights calcium signaling and metabolism genes.Comparative network analysis reveals that tissue specificity and gene function are important factors influencing the mode of expression evolution in Arabidopsis and rice.QTL mapping for chromium-induced growth and zinc, and chromium distribution in seedlings of a rice DH population
P2860
Q33471816-8ED7ADF5-D618-4634-8EFD-E378E948AEB5Q33755395-639C888F-D9E3-46BB-AE47-2209B7BBC790Q33797277-D69BBCF3-01A4-41E8-A939-7288B3062D1EQ33813706-97FDBAE0-0AB0-4332-85AD-ABDA8A762BD8Q35267047-9C9F9238-6A04-4000-8BC6-DFC23DA3DBA4Q35953094-796AB0E8-AA44-4BA2-9645-EDE04C555F8BQ36820167-74AA6582-2D93-4058-98A2-7F1E2C308125Q37260624-C414CA13-E5E3-4D6E-8F20-65DD9CF1DCD1Q38138550-DF09215D-6FEF-43F6-AE4C-740C19DDD1B4Q46762778-D5126134-3B4B-4D13-BFAB-049F13C47099Q48226382-751A5392-C912-4143-8D1F-136545447F9CQ49060437-3B5B26B4-4FC0-441E-8BF3-D5F42AB18E65Q57630165-D3B3EACA-F341-49B6-98B8-4795981C0F9D
P2860
A bioinformatic and transcriptomic approach to identifying positional candidate genes without fine mapping: an example using rice root-growth QTLs.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
A bioinformatic and transcript ...... e using rice root-growth QTLs.
@en
A bioinformatic and transcript ...... e using rice root-growth QTLs.
@nl
type
label
A bioinformatic and transcript ...... e using rice root-growth QTLs.
@en
A bioinformatic and transcript ...... e using rice root-growth QTLs.
@nl
prefLabel
A bioinformatic and transcript ...... e using rice root-growth QTLs.
@en
A bioinformatic and transcript ...... e using rice root-growth QTLs.
@nl
P2093
P1433
P1476
A bioinformatic and transcript ...... le using rice root-growth QTLs
@en
P2093
Adam H Price
Farkhanda S Khowaja
Matthew J Aitkenhead
P304
P356
10.1016/J.YGENO.2008.07.002
P577
2008-09-18T00:00:00Z