Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

QTL mapping for test weight by using F(2:3) population in maize.

Journal of genetics - 1 Apr 2011

Ding Jun-Qiang, Ma Jin-Liang, Zhang Chun-Rong, Dong Hua-Fang, Xi Zhang-Ying, Xia Zong-Liang, Wu Jian-Yu

Abstract excerpt

Test weight is an important trait in maize breeding. Understanding the genetic mechanism of test weight is important for effective selection of maize test weight improvement. In this study, quantitative trait loci (QTL) for maize test weight were identified. In the years 2007 and 2008, a F(2:3) population along with the parents Chang7-2 and Zheng58 were planted in Zhengzhou, People's Republic of China....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Breeding
Share to Chromosomes, Plant
Share to Crosses, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Environment

Share to Epistasis, Genetic

Share to Quantitative Trait Loci

Share to Selection, Genetic

Share to Zea mays

Source

Identifiers

PMID: 21677391
DOI: 10.1007/s12041-011-0036-3

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

QTL mapping for test weight by using F(2:3) population in maize.PMID 21677391Read ↗

Mapping quantitative trait loci for yield-related traits and predicting candidate genes for grain weight in maize.Semantic proximity Read ↗

Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.Semantic proximity Read ↗

Combined GWAS and QTL analysis for dissecting the genetic architecture of kernel test weight in maize.Semantic proximity Read ↗

QTL detection for grain oil and starch content and their associations in two connected F₂:₃ populations in high-oil maizeSemantic proximity Read ↗

Dissection of the Genetic Basis of Yield Traits in Line per se and Testcross Populations and Identification of Candidate Genes for Hybrid Performance in Maize.Semantic proximity Read ↗

QTL detection for stover yield and quality traits using two connected populations in high-oil maize.Semantic proximity Read ↗

QTL analysis for yield components and kernel-related traits in maize across multi-environments.Semantic proximity Read ↗

Correlations and comparisons of quantitative trait loci with family per se and testcross performance for grain yield and related traits in maize.Semantic proximity Read ↗

Fine-mapping of qGW4.05, a major QTL for kernel weight and size in maize.Semantic proximity Read ↗

Verification and fine mapping of qGW1.05, a major QTL for grain weight in maize (Zea mays L.).Semantic proximity Read ↗

Uncovering the genetic basis of carotenoid variations in maize kernels using two segregating populationsSemantic proximity Read ↗

The genetic architecture of maize (Zea mays L.) kernel weight determination.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.