Seed Oil Content, Yield and Fiber Quality Traits in Some Egyptian Cotton Genotypes

2020 ◽  
Vol 11 (12) ◽  
pp. 1469-1467
Author(s):  
E. Amer ◽  
H. El-Hoseiny ◽  
S. Hassan
Keyword(s):  
Oil Content ◽  
Seed Oil ◽  
Fiber Quality ◽  
Quality Traits ◽  
Seed Oil Content ◽  
Fiber Quality Traits ◽  
Cotton Genotypes ◽  
Egyptian Cotton

scholarly journals Phenotypic response of cotton genotypes for yield and fiber quality traits

2020 ◽  
Vol 2 (1) ◽  
pp. 17
Author(s):  
Abdul Wahab Soomro
Keyword(s):  
Fiber Quality ◽  
Central Zone ◽  
Quality Traits ◽  
Cotton Production ◽  
Fiber Quality Traits ◽  
Commercial Cultivation ◽  
Significant Difference ◽  
Cotton Genotypes ◽  
Time Utilization ◽  
Textile Sector

Twenty five cotton genotypes were tested with two standard check varieties in National Coordinated Varietal Trial (NCVT). The significant difference was observed among all the genotypes of yield, its contributing traits and fiber quality traits, which indicated sufficient genetic diversity were present in the material. Among the genotypes, ICI-2121, GH-Hadi and NIAB-898 are high yielding cotton genotypes, these are suggested for commercial cultivation at the environmental condition of central zone of Sindh to boost up cotton production and at the same time utilization in hybridization and breeding program to evolve high yielding variety.  For the fiber quality traits NIBA-898 and NS-191 are suitable genotypes to meet the criteria of textile sector.

Microsatellite-based characterization of cotton genotypes for verticillium wilt and fiber quality traits

2017 ◽  
Vol 43 (3) ◽  
pp. 277-288
Author(s):  
Amna Saeed ◽  
Eminur Elçi
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Verticillium Wilt ◽  
Fiber Quality ◽  
Stress Factors ◽  
Quality Traits ◽  
Cotton Yield ◽  
Fiber Quality Traits ◽  
Resistant Cultivars ◽  
Cotton Genotypes

Abstract Cotton (Gossypium hirsutum L.) is the most important natural textile fiber crop grown worldwide. Several biotic and abiotic stress factors affect cotton yield due to lower genetic diversity for the traits of particular interest. Verticillium wilt (VW) is one of the major factors incurring huge cotton yield losses. The most effective management option against VW is the development of resistant cultivars. The resistant cultivars must also have superior fiber quality and yield traits. Therefore, the current study was aimed at screening some of the identified simple sequence repeats (SSR) markers for VW resistance and fiber quality traits of cotton genotypes in Turkey. Fifty different cultivars were screened with 30 SSR markers. Polymerase chain reaction (PCR) was conducted to amplify the SSR markers. The amplified bands were scored as 0 or 1 for absence and presence, respectively. For the molecular data analysis, polymorphism information content (PIC) values of molecular markers were calculated. Among tested SSR markers 13 were found polymorphic, which produced a total of 677 loci. The number of alleles per marker ranged from 1 to 4 and, overall average PIC values of markers ranged from 0.00 to 0.76, respectively. Principal component analysis executed on presence absence data yielded two distinct groups of cultivars screened. Hierarchical clustering revealed low genetic diversity among the tested cultivars. Based on the results TamcotCamdES, Gloria, Natalia, Lydia, Teks, Tamcot SP37H, N87 and BA525 are the promising cultivars for further breeding studies. The results of the current study also revealed that 4 SSR markers (DPL752 and DPL322 for fiber traits, DPL0022 and GH215 for VW resistance) out of 30 could be used for improving VW resistance and fiber quality in cotton through marker assisted selection.

scholarly journals Heritability and Genetic Advance as Genetic Indicators for Improvement in Two Cotton Crosses

2021 ◽  
Vol 3 (2) ◽  
Keyword(s):  
Gene Action ◽  
Fiber Quality ◽  
Quality Traits ◽  
Additive Gene Action ◽  
Fiber Quality Traits ◽  
Positive Skewness ◽  
Negative Skewness ◽  
Additive Gene ◽  
Transgressive Segregants ◽  
Egyptian Cotton

The primary breeding goal for the Egyptian cotton breeding program is how to genetically improve both yield and fibre quality traits, while most of these agronomically traits are biometric traits. The objective of the present study is to evaluate variability and estimate frequency of transgressive segregants in order to isolate early superior individual plants which exceeding the better parent for some yield and fiber quality traits in two intraspecific cotton crosses in early transgressive segregating generation (F2 ). The F1 was highly significant superior than the better parent (Giza 97 and Giza 94) of the two crosses for all the studied traits except boll weight and lint %. Most of the studied traits in F2 generation showed high values of broad sense heritability coupled with low GAM % indicated that these traits controlled by non-additive gene action. All the studied traits had positive skewness sign except for lint %. Presley index and uniformity index for the two cotton crosses and upper half mean for cross II showed negative skewness. The negative skewness indicated that the population had more plants frequency with higher mean values than population mean and controlled by dominancy alleles. While, the traits that had positive skewness are controlled by additive gene action. The two cotton crosses showed transgressive segregants for all the studied traits. Cross I has higher transgressive index for yield traits than cross II, while cross II has the same trend for fiber quality traits than cross I. These results indicated that the both parents of the two cotton crosses had different alleles and genes governing the respective studied traits, which will help cotton breeder to combine beneficial alleles into a single genotype by rigorous selection process. This strategy could be used to improve many economic biometric traits by using better and stringent selection procedure to enhance Egyptian cotton productivity which is major concern in Egypt. The breeder can use transgressive segregation as an indicator of genetic variability to select the most superior plants.

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