Results 201 to 210 of about 1,662,002 (238)

Microsatellite markers associated with lint percentage trait in cotton, Gossypium hirsutum

Euphytica, 2007
Molecular markers associated with fiber development traits have the potential to play a key role in understanding of cotton fiber development. Seventeen SSRs out of 304 markers tested from MGHES (EST-SSR), JESPR (genomic SSR), and TMB (BAC-derived SSR) collections showed significant linkage associations (using a Kurskal-Wallis non-parametric test) with
I. Abdurakhmonov, Z. Buriev, S. Saha, Alan E Pepper, J. Musaev, A. Almatov, S. Shermatov, F. Kushanov, G. T. Mavlonov, Umesh K. Reddy, John Z. Yu, J. N. Jenkins, R. Kohel, A. Abdukarimov   +13 more
semanticscholar   +2 more sources

Dissection of the genetic variation and candidate genes of lint percentage by a genome-wide association study in upland cotton

Theoretical and Applied Genetics, 2019
A genome-wide associated study identified six novel QTLs for lint percentage. Two candidate genes underlying this trait were also detected. Increasing lint percentage (LP) is a core goal of cotton breeding. To better understand the genetic basis of LP, a genome-wide association study (GWAS) was conducted using 276 upland cotton accessions planted in ...
Chengxiang Song, Wei Li, Xiaoyu Pei, Yangai Liu, Zhongying Ren, Kunlun He, Fei Zhang, K. Sun, Xiaojian Zhou, Xiongfeng Ma, DaiGang Yang   +10 more
semanticscholar   +3 more sources

Constructing a high-density linkage map for Gossypium hirsutum × Gossypium barbadense and identifying QTLs for lint percentage.

Journal of Integrative Plant Biology, 2015
AbstractTo introgress the good fiber quality and yield from Gossypium barbadense into a commercial Upland cotton variety, a high‐density simple sequence repeat (SSR) genetic linkage map was developed from a BC1F1 population of Gossypium hirsutum × Gossypium barbadense.
Yuzhen Shi, Wentan Li, Aiguo Li, Ruihua Ge, Baocai Zhang, Junzhi Li, Guangping Liu, Jun-wen Li, Ai-ying Liu, Haihong Shang, Juwu Gōng, Wànkuí Gǒng, Zemao Yang, F. Tang, Zhi Liu, Weiping Zhu, Jian-song Jiang, Xiao‐Nan Yu, Tao Wang, Wei Wang, Tingting Chen, Kunbo Wang, Zhengsheng Zhang, You-lu Yuan   +23 more
semanticscholar   +3 more sources

Multi-environments and multi-models association mapping identified candidate genes of lint percentage and seed index in Gossypium hirsutum L.

Molecular Breeding, 2019
Upland cotton (Gossypium hirsutum L.) accounts most of the natural fiber production worldwide. Lint percentage (LP) and seed index (SI) are important components of cotton fiber yield, which is a constant breeding goal of cotton. So, the loci underpinning LP and SI should be extensively dissected.
Huixian Xing, Yanchao Yuan, Haijun Zhang, Liyuan Wang, L. Mao, Jincai Tao, Xianlin Wang, Wei Feng, Haoran Wang, Qingkang Wang, Ze Wei, Guihua Zhang, Xiangliu Liu, Zhongye Li, Xianliang Song, Xue-zhen Sun   +15 more
semanticscholar   +2 more sources

Genetic analysis of earliness in upland cotton ( Gossypium hirsutum L.). II. Yield and lint percentage

Euphytica, 2004
Inheritance and interrelationships of seed cotton and lint yields were evaluated in a diallel analysis involving seven early maturing parents of different origin and a commercial variety. Lint yield showed relatively little additive variance and low heritability, whereas lint percentage showed the opposite.
A. Godoy, G. Palomo
semanticscholar   +2 more sources

Construction of a high-density genetic map and lint percentage and cottonseed nutrient trait QTL identification in upland cotton (Gossypium hirsutum L.)

Molecular Genetics and Genomics, 2015
Upland cotton plays a critical role not only in the textile industry, but also in the production of important secondary metabolites, such as oil and proteins. Construction of a high-density linkage map and identifying yield and seed trait quantitative trail loci (QTL) are prerequisites for molecular marker-assisted selective breeding projects. Here, we
Dexin Liu, Fang Liu, Xiao-Yi Shan, Jian Zhang, Shiyi Tang, Xiaomei Fang, Xueying Liu, Wenwen Wang, Zhao-yun Tan, Zhonghua Teng, Zhengsheng Zhang, Dajun Liu   +11 more
semanticscholar   +3 more sources

The im Mutant Gene Negatively Affects Many Aspects of Fiber Quality traits and Lint Percentage in Cotton

Crop Science, 2013
Immature fiber (im) is a cotton (Gossypium hirsutum L.) fiber recessive mutant on chromosome 3 that causes abnormal fiber characteristics, fineness, and a low fiber weight. Here, the im mutant and five cotton lines, two from G. hirsutum accession TM‐1 and I4005 and three from different chromosome segment introgression lines (CSILs) from chromosome 3 of
Cheng Wang, Tianzhen Zhang, Wangzhen Guo
semanticscholar   +2 more sources

Molecular Tagging and Mapping of Quantitative Trait Loci for Lint Percentage and Morphological Marker Genes in Upland Cotton

Journal of Integrative Plant Biology, 2006
AbstractUsing 219 F2 individuals developed by crossing the genetic standard line TM‐1 and the multiple dominant marker line T586 in Gossypium hirsutum L., a genetic linkage map with 19 linkage groups was constructed based on simple sequence repeat (SSR) markers. Compared with our tetraploid backboned molecular genetic map from a(TM‐1 × Hai 7124) × TM‐1
Wangzhen Guo, Guo-Jia Ma, Yi-Chao Zhu, Chen Yi, Tianzhen Zhang   +4 more
semanticscholar   +2 more sources

Influence of Lint Percentage on Yield, Boll, and Fiber Characteristic in Acala strains of Upland Cotton¹

Crop Science, 1976
Yield, boll, and fiber characteristics were studied in low, intermediate, and high lint percentage groups of Acala strains of upland cotton (Gossypium hirsutum L.). Three genotypes were used to represent each group. The three groups did not differ significantly in yield of seed cotton or seed, but the high lint percentage group produced significantly ...
W. T. W. Woodward, N. R. Malm
openalex   +2 more sources

Genetic dissection of lint percentage in an introgression population between Gossypium hirsutum and G. mustelinum

Theoretical and Applied Genetics
Yang Yang, Bo Li, Yuanxue Li, Zhiyong Xu, Xiaorong Li, Zumuremu Tuerxun, Xunji Chen, Xianlong Zhang, Zhongxv Lin   +8 more
semanticscholar   +2 more sources