(Q57278368)

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Methods for predicting superior genotypes under multiple environments based on QTL effects

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title

Methods for predicting superior genotypes under multiple environments based on QTL effects (English)

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Jian Yang

1

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author name string

Jun Zhu

series ordinal

2

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language of work or name

English

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publication date

2 April 2005

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published in

Theoretical and Applied Genetics

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volume

110

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issue

7

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page(s)

1268-1274

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exact match

https://scigraph.springernature.com/pub.10.1007/s00122-005-1963-2

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cites work

Controlling the type I and type II errors in mapping quantitative trait loci.

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Estimating the genetic architecture of quantitative traits

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Mapping epistatic quantitative trait loci with one-dimensional genome searches

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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inferred from PubMed ID database lookup

Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance.

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Mapping mendelian factors underlying quantitative traits using RFLP linkage maps

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Multiple trait analysis of genetic mapping for quantitative trait loci.

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci

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https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Complex interactions of new quantitative trait loci, Sluc1, Sluc2, Sluc3, and Sluc4, that influence the susceptibility to lung cancer in the mouse

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Precision mapping of quantitative trait loci

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Interval mapping of multiple quantitative trait loci

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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Genotype-by-environment interaction in genetic mapping of multiple quantitative trait loci

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https://pubmed.ncbi.nlm.nih.gov/15806347

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12 December 2020

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A mixed-model approach to mapping quantitative trait loci in barley on the basis of multiple environment data

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15806347

retrieved

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Multiple interval mapping for quantitative trait loci

1 reference

stated in

PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15806347

retrieved

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. I. Biomass and grain yield

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PubMed

reference URL

https://pubmed.ncbi.nlm.nih.gov/15806347

retrieved

12 December 2020

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DOI

10.1007/S00122-005-1963-2

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PubMed publication ID

15806347

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(Q57278368)

Methods for predicting superior genotypes under multiple environments based on QTL effects

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