Results 161 to 170 of about 1,866,677 (213)

Advancing cotton fiber research with variable-pressure scanning electron microscopy. [PDF]

Front Plant Sci
Bai F, Jansen MA.
europepmc   +1 more source

QTL Mapping of Fiber- and Seed-Related Traits in Chromosome Segment Substitution Lines Derived from Gossypium hirsutum × Gossypium darwinii. [PDF]

Int J Mol Sci
Wang W, Li Y, Le M, Tian L, Sun X, Liu R, Guo X, Wu Y, Li Y, Zhao J, Liu D, Zhang Z.   +11 more
europepmc   +1 more source

Marker-Assisted Hybridization and Selection for Fiber Quality Improvement in Naturally Colored Cotton (<i>G. hirsutum</i> L.). [PDF]

Plants (Basel)
Kurbonov AY, Mamedova FF, Nazirov MM, Khojaqulova NS, Djumaev SS, Khashimova NR, Oripova BB, Safiullina AK, Nematullaeva EF, Khalikov KK, Ernazarova DK, Kushanov FN.   +11 more
europepmc   +1 more source

Genetic Diversity and Association Analysis of Lint Percentage Variation Population in Gossypium Hirsutum L. Based on Microsatellite Markers

Journal of Natural Fibers, 2021
The most important goal in cotton breeding is to increase the fiber yield which can be increased by improving a key trait, lint percentage (LP). However, narrow genetic background of upland cotton resulting in stagnant yield.
Ya-Li Sun, Zhaoe Pan, Yun-Kun Qu, Shoupu He, Yinhua Jia, Liru Wang, Baoyin Pang, Hongge Li, Jinlong Zhang, Xiongming Du, Jinling Huang   +10 more
semanticscholar   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Genotypic differences in sucrose metabolism with cotton bolls in relation to lint percentage

Field Crops Research, 2019
Lint percentage is an important cotton (Gossipium hirsutum L.) lint yield character which may have a close association with photoassimilates partitioning between fibers and seeds.
Haihua Luo, Gong Chen, Deyi Shao, Xin Gao, Changkai Yuan, Jinjian Peng, F. Tang   +6 more
semanticscholar   +2 more sources

Nitrogen-fertiliser application effects on cotton lint percentage, seed size, and seed oil and protein concentrations

Crop & Pasture Science, 2020
. In order to develop a better understanding of some yield components, the response of three modern cotton (Gossypium hirsutum L.) cultivars to increasing nitrogen (N) fertiliser application was assessed for lint percentage (LP) and seed weight, as well ...
I. Rochester, G. Constable
semanticscholar   +2 more sources

GWAS and eQTL analyses reveal genetic components influencing the key fiber yield trait lint percentage in upland cotton.

The Plant Journal
Lint percentage is an important component of cotton yield traits and an important economic indicator of cotton production. The initial stage of fiber development is a critical developmental period that affects the lint percentage trait, but the genetic ...
Chunping Guo, Ruizhen Pi, Yuanlong Wu, J. You, Zhenyang Qi, Zhenping Liu, Xinyi Chang, Shugen Ding, Qi Zhang, Peng Han, Xianlong Zhang, Chunyuan You, Maojun Wang, Xinhui Nie   +13 more
semanticscholar   +3 more sources

A Natural LTR Retrotransposon Insertion in the Promoter of GhNAC140-Dt Boosts Cotton Lint Yield.

Plant Biotechnology Journal, EarlyView.
Transposable elements (TEs) are fundamental drivers of crop evolution and domestication. Whereas the underlying mechanisms of TE-mediated gene activation remain poorly understood. Lint percentage is an important yield component in cotton. Here, we report
Yujia Yu, Xiaoguang Shang, Haitang Wang, Lijie Zhu, Xu Han, Qingfei He, Weixi Li, Yonglin Tan, Guozhong Zhu, Wangzhen Guo   +9 more
semanticscholar   +2 more sources

Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq

Theoretical and Applied Genetics, 2023
In total, 17 QTLs for lint percentage in short-season cotton, including three stable QTLs, were detected. Twenty-eight differentially expressed genes located within the stable QTLs were identified, and two genes were validated by qRT-PCR. The breeding and use of short-season cotton have significant values in addressing the question of occupying ...
Qiao-zhe Liu, Yuanyuan Wang, Yuanzhi Fu, Lei Du, Yilin Zhang, Qinglian Wang, R. Sun, Ni-jiang Ai, Guo-li Feng, Chengqi Li   +9 more
semanticscholar   +3 more sources

High‐density linkage map construction and QTL analysis of fiber quality and lint percentage in tetraploid cotton

Crop Science, 2021
AbstractImproving fiber quality and yield are major research objectives for cotton breeders in the United States. Identifying broadly existing and stable quantitative trait loci (QTLs) related to fiber quality is critical to properly utilizing genomic resources in cotton improvement programs.
Linglong Zhu, Ryan J. Andres, Kuang Zhang, Vasu Kuraparthy   +3 more
semanticscholar   +2 more sources