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

Genomic insights into local adaptation of upland cotton in China and Pakistan.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 20 May 2024

Han Zegang, Si Zhanfeng, Rahman Mehboob-Ur, He Lu, Li Yiqian, Khan Ali Qaiser, Mao Yun, Zulfiqar Sana, Ishfaq Shumila, Mohsan Muhammad, Iqbal Muhammad Atif, Zafar Saba, Hu Yan, Zhang Tianzhen

Abstract excerpt

KEY MESSAGE: Different kinship and resistance to cotton leaf curl disease (CLCuD) and heat were found between upland cotton cultivars from China and Pakistan. 175 SNPs and 82 InDels loci related to yield, fiber quality, CLCuD, and heat resistance were identified. Elite alleles found in Pakistani accessions aided local adaptation to climatic condition of two countries. Adaptation of upland cotton (Gossypium...

Read the complete abstract on PubMed

Topics

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

Share to Adaptation, Physiological
Share to Cotton Fiber

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease Resistance

Share to Genome, Plant

Share to Gossypium

Share to INDEL Mutation

Share to Pakistan

Share to Plant Breeding

Source

Identifiers

PMID: 38764078
DOI: 10.1007/s00122-024-04624-x

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

Genomic insights into local adaptation of upland cotton in China and Pakistan.PMID 38764078Read ↗

Genomic analyses in cotton identify signatures of selection and loci associated with fiber quality and yield traits.Semantic proximity Read ↗

Resequencing core accessions of a pedigree identifies derivation of genomic segments and key agronomic trait loci during cotton improvement.Semantic proximity Read ↗

Population structure and genetic basis of the agronomic traits of upland cotton in China revealed by a genome-wide association study using high-density SNPs.Semantic proximity Read ↗

High-resolution sequencing of nine elite upland cotton cultivars uncovers genic variations and breeding improvement targets.Semantic proximity Read ↗

Genetic Diversity Analysis of 96 Gossypium hirsutum-Gossypium barbadense Introgression Lines and Early Maturing Northern China Cotton Lines Using a 40K Liquid-Phase Chip.Semantic proximity Read ↗

A high-density genetic map and multiple environmental tests reveal novel quantitative trait loci and candidate genes for fibre quality and yield in cotton.Semantic proximity Read ↗

Genome resources for three modern cotton lines guide future breeding efforts.Semantic proximity Read ↗

Resequencing a core collection of upland cotton identifies genomic variation and loci influencing fiber quality and yield.Semantic proximity Read ↗

Assessment of genetic diversity of cotton genotypes for various economic traits against cotton leaf curl disease (CLCuD).Semantic proximity Read ↗

GBS Mapping and Analysis of Genes Conserved between Gossypium tomentosum and Gossypium hirsutum Cotton Cultivars that Respond to Drought Stress at the Seedling Stage of the BC₂F₂ Generation.Semantic proximity Read ↗

QTL Mapping for Fiber Quality and Yield Traits Based on Introgression Lines Derived from Gossypium hirsutum × G. tomentosum.Semantic proximity Read ↗

Extensive haplotypes are associated with population differentiation and environmental adaptability in Upland cotton (Gossypium hirsutum).Semantic proximity Read ↗

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