A novel nondestructive detection approach for seed cotton lint percentage using deep learning
Journal of Cotton ResearchBackground The lint percentage of seed cotton is one of the most important parameters for evaluating seed cotton quality and affects its price. The traditional measuring method of lint percentage is labor-intensive and time-consuming; thus, an efficient ...
Lijie Geng +9 more
doaj +3 more sources
QTL Verification and Candidate Gene Screening of Fiber Quality and Lint Percentage in the Secondary Segregating Population of Gossypium hirsutum [PDF]
Plants, 2023 Fiber quality traits, especially fiber strength, length, and micronaire (FS, FL, and FM), have been recognized as critical fiber attributes in the textile industry, while the lint percentage (LP) was an important indicator to evaluate the cotton lint ...
Ruixian Liu +8 more
doaj +4 more sources
A new method for lint percentage non-destructive detection based on optical penetration imaging
Emirates Journal of Food and Agriculture, 2022 Lint percentage of seed cotton is one of the important bases for pricing in the trading segment. Unfortunately, the conventional methods of lint percentage are manually operated, which relies on the abundant experience of experts, and restrained by ...
Lijie Geng +5 more
semanticscholar +2 more sources
Oilseeds and fats, crops and lipids, 2023 Choosing suitable varieties and manipulating plant population are crucial management aspects in any cropping system that goals to improve yield, quality and the balance between plant demand and environmental resource availability.
Jalilian Sepideh +3 more
doaj +2 more sources
Genome-wide association study reveals novel quantitative trait loci and candidate genes of lint percentage in upland cotton based on the CottonSNP80K array [PDF]
Theoretical and Applied Genetics, 2021 Thirty-four SNPs corresponding with 22 QTLs for lint percentage, including 13 novel QTLs, was detected via GWAS. Two candidate genes underlying this trait were also identified.
Yu Chen +13 more
semanticscholar +3 more sources
Dissecting the major genetic components underlying cotton lint development. [PDF]
Genetics, 2023 Numerous genetic loci and several functionally characterized genes have been linked to determination of lint percentage (lint%), one of the most important cotton yield components, but we still know little about the major genetic components underlying ...
Sun Y +6 more
europepmc +2 more sources
The Plant JournalSalinity is frequently mentioned as a major constraint in worldwide agricultural production. Lint percentage (LP) is a crucial yield-component in cotton lint production.
Anhui Guo +8 more
semanticscholar +3 more sources
Analysis of combining ability and stability of yield characteristics of upland cotton in two years [PDF]
PeerJObjective Combining ability analysis forms the basis for selecting suitable parents and hybrid combinations. The performance of combining ability is influenced significantly by environmental conditions.
Xiaoman Ma +3 more
doaj +3 more sources
Numerical Simulation of an Online Cotton Lint Sampling Device Using Coupled CFD–DEM Analysis
AgricultureCotton processing is the process of converting harvested seed cotton into lint by cleaning, ginning, and cleaning the lint. The real-time acquisition of lint parameters during processing is critical in improving cotton processing quality and efficiency ...
Peiyu Wang +5 more
doaj +2 more sources
Pangenome analysis reveals yield- and fiber-related diversity and interspecific gene flow in Gossypium barbadense L. [PDF]
Nature CommunicationsGossypium barbadense is renowned for its superior fiber quality, particularly its extra-long fibers, although its fiber yield is lower compared to G. hirsutum. Here, to further reveal fiber-related genomic variants of G.
Qingying Meng +21 more
doaj +2 more sources