scholarly journals Yield and Quality Traits of Some Flax Cultivars as Influenced by Different Irrigation Intervals

2016 ◽  
Vol 8 (10) ◽  
pp. 226 ◽  
Author(s):  
Emad Rashwan ◽  
Ahmed Mousa ◽  
Ayman EL-Sabagh ◽  
Celaleddin Barutçular
Keyword(s):  
Plant Height ◽  
Fiber Length ◽  
Seed Oil ◽  
Stem Diameter ◽  
Main Stem ◽  
Research Centre ◽  
Yield And Quality ◽  
Fiber Yield ◽  
Fiber Fineness ◽  
Oil Percentage

<p>Flax is a potential winter crop for Egypt that can be grown for both seed and fiber. The study was conducted during two successive winter seasons of 2013/14 and 2014/15 in the experimental farm of El-Gemmeiza Agricultural Research Station, Agriculture Research Centre, Egypt. The objective of this work was to evaluate the effect of irrigation intervals (25, 35 and 45) on the straw, seed, oil, fiber yields and quality of flax cultivars (Sakha1, Giza9 and Giza10). Irrigation intervals significantly influenced all studied traits except oil percentage. Irrigated flax plants every 35 days gave the maximum values for all traits, while irrigation every 45 days gave the minimum values. In respect to cultivars, significant differences were found in most yield and quality characters. Furthermore, the performance of Sakha 1 cultivar was superior in main stem diameter, biological, straw yields per faddan, seed index, seed, oil yields per faddan and oil percentage. Meanwhile, Giza 10 cultivar highly significantly out yielded Giza9 and Sakha1 in plant height, fiber fineness, fiber length, total fiber percentage and fiber yield per faddan. The interactions between irrigation intervals and flax cultivars were highly significant for all traits. Based on the results, Sakha1 cultivar recorded the maximum values for main stem diameter, biological, straw yields per faddan, seed, oil yields per faddan and oil percentage and Giza 10 recorded the maximum values for plant height, fiber fineness, fiber length, total fiber percentage and fiber yield per faddan under irrigation of plants every 35 days.</p>

scholarly journals No Tradeoff in Fiber Quality with Increased Cotton Yield Due to Outcross Pollination

2021 ◽  
Vol 13 (11) ◽  
pp. 6079
Author(s):  
Sarah Cusser ◽  
Shalene Jha
Keyword(s):  
Ecosystem Services ◽  
Fiber Length ◽  
Crop Production ◽  
Fiber Quality ◽  
Economic Benefits ◽  
Yield And Quality ◽  
Fiber Yield ◽  
Fiber Fineness ◽  
Hand Pollination ◽  
Insight Into

The societal and economic benefits of ecosystem services are both immense and multi-faceted. To holistically quantify the contribution of pollinators to agriculture requires measuring multiple indices of crop production beyond crop yield. Here, we conduct a field-based hand pollination experiment to measure the effects of self and outcross pollen on fiber yield and quality in conventionally managed cotton crops. First, we determine how different pollination treatments affect specific indices of fiber yield and fiber quality, including fiber length and fineness. Second, we investigate the suggested tradeoff between fiber yield and quality. We find that flowers receiving outcross pollen produce larger, heavier bolls than either self-crossed or non-crossed flowers. However, contrary to expectation, flowers of different treatments are indistinguishable in terms of fiber quality. Overall, we find that pollination treatment has no discernable effect on either fiber length or fiber fineness. Understanding the contribution of ecosystem services across multiple axes provides growers with information concerning potential tradeoffs or synergies, and offers insight into management decisions.

scholarly journals Heritability and correlation analysis of morphological and yield traits in genetically modified cotton

2020 ◽  
Author(s):  
Abdul Rehman ◽  
Nida Mustafa ◽  
Du Xiongming ◽  
Muhammad Tehseen Azhar
Keyword(s):  
Plant Height ◽  
Fiber Length ◽  
Fiber Strength ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Plant Seed ◽  
Seed Cotton Yield ◽  
Fiber Fineness ◽  
Boll Weight ◽  
Seed Index

Abstract Background Cotton is known for its fiber and it is grown in tropical and sub-tropical areas of the world. It has a significant role in GDP of Pakistan. Therefore, present two years research was conducted to estimate heritability and association among various yield contributing parameters of cotton. The selected genotypes of cotton were hybridized in green house of the department. The F 0 cotton seed along with parents were planted in the field conditions during May, 2018. The sowing of this experiment was completed in three replications followed by RCBD. The data was recorded at maturity for various agronomic traits including plant height, number of bolls per plant, number of sympodial branches per plant, seed cotton yield, boll weight, seed index, ginning out turn, fiber length, fiber strength, and fiber fineness. Level of significance of data was computed by ANOVA to assess the difference among cotton genotypes which was used for estimation of heritability and correlation analysis among the related traits. Results Association analysis revealed that seed cotton yield had significant positive relationship with plant height, number of bolls per plant, number of sympodial branches per plant, ginning out turn, staple length and fiber strength. Staple length and fiber strength were negatively linked with each other. Estimates of heritability were high for all observed traits except number of sympodial branches per plant and boll weight. Conclusion The parent IUB-222 was found best for plant height, number of bolls per plant, boll weight, ginning out turn, seed cotton yield and seed index. NIAB-414 and VH-367 were identified best parents for fiber length, strength and fineness. Among crosses NIAB-414 × IUB-222 was best for number of bolls per plant, seed index, seed cotton yield and fiber fineness. Whereas, cross NIAB-414 × CIM-632 was good for plant height. The combination of A555 × CIM-632 was best for number of sympodial branches per plant, boll weight, fiber length and strength. VH-367 × CIM-632 proved best for ginning out turn. The correlation results from this study would be helpful to breed cotton cultivars with good yield and quality characters. Broad sense heritability was high for all of parameters which provides the strong evidence that selection in early generations can improve the performance of these traits.

scholarly journals Genome-wide association analysis of fiber fineness and yield in ramie (Boehmeria nivea) using SLAF-seq

2019 ◽  
Author(s):  
Kunyong Huang ◽  
Yaliang Shi ◽  
Yicheng Zhong ◽  
Aiguo Zhu ◽  
Zhimin Sun ◽  
...  
Keyword(s):  
Population Structure ◽  
Linkage Disequilibrium ◽  
Natural Fiber ◽  
Stem Diameter ◽  
Genome Wide Association ◽  
Skin Thickness ◽  
Ramie Fiber ◽  
Fiber Yield ◽  
Genome Wide ◽  
Fiber Fineness

Abstract Background: Ramie is a major natural fiber crop cultivated in East Asia. The improvement of its fiber yield and fineness are important breeding goals. Fiber yield is a complex quantitative trait comprising ramet number, stem diameter, plant height, skin thickness, and fiber percentage. The fiber fineness is a crucial trait for ramie fiber quality. However, there are few association studies for fiber yield traits and fiber fineness on ramie, and lack high-density SNP maps in natural ramie population.Results: Here, a panel of 112 core ramie germplasms were genotyped by 215,376 consistent single-nucleotide polymorphisms (SNPs) from specific-locus amplified-fragment sequencing (SLAF-seq), and used for genome-wide association study of fiber fineness and yield. Subsequently, the genetic diversity, linkage disequilibrium (LD), and population structure was conducted based on 215,376 SNPs. Population cluster analysis disclosed five subpopulations. Neighbor-joining (NJ) analysis revealed three major clusters. No obvious relationships were identified between them and their geographic origins. The genome-wide linkage disequilibrium (LD) decayed to r2 = 0.1 was ~11.75 kb in physical distance. One, seven, one, seven, and twenty-seven significant SNP marker associations were detected for fiber fineness (third season), stem diameter (third season), stem skin thickness (third season), fiber percentage (second season), and fiber percentage (third season), respectively. Two promising candidate genes, whole_GLEAN_10029622 and whole_GLEAN_10029638 resided in the significant trait-SNP association for fiber fineness (third season), which annotated as a cotton fiber-expressed protein and an Arabidopsis thaliana homeobox protein ATH1, respectively and validated by qPCR. Conclusions: These results provide information for understanding the population structure, LD decay and genetic variation in ramie natural population. The identified loci or genes for fiber fineness and yield may provide the basis for future research on fiber fineness and yield and marker-assisted selection breeding for ramie.

scholarly journals Heritability and correlation analysis of morphological and yield traits in genetically modified cotton

2020 ◽  
Author(s):  
Abdul Rehman ◽  
Nida Mustafa ◽  
Du Xiongming ◽  
Muhammad Tehseen Azhar
Keyword(s):  
Plant Height ◽  
Fiber Length ◽  
Fiber Strength ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Plant Seed ◽  
Seed Cotton Yield ◽  
Fiber Fineness ◽  
Boll Weight ◽  
Seed Index

Abstract Background: Cotton is known for fiber extraction and it is grown in tropical and sub-tropical areas of the world due to having hot weather. Cotton crop has a significant role in GDP of Pakistan. Therefore, the two-years research was conducted to estimate heritability and association among various yield contributing parameters of cotton, i.e., plant height, number of bolls per plant, number of sympodial branches per plant, seed cotton yield, boll weight, seed index, ginning outturn (GOT), fiber length, fiber strength, and fiber fineness. Results: Association analysis revealed that seed cotton yield had significant positive correlation with plant height, number of bolls per plant, number of sympodial branches per plant, ginning outturn (GOT), staple length and fiber strength. Staple length and fiber strength were negatively linked with each other. Estimates of heritability were high for all of the traits except number of sympodial branches per plant and boll weight.Conclusion: The parent IUB-222 was found to be the best for plant height, number of bolls per plant, boll weight, ginning outturn (GOT), seed cotton yield and seed index. The genotypes namely NIAB-414 and VH-367 were identified as the best parents for fiber length, strength and fineness. Among the crosses NIAB-414 × IUB-222 was the best for number of bolls per plant, seed index, seed cotton yield and fiber fineness, whereas, cross of NIAB-414 × CIM-632 was good for plant height. The combination of A555 × CIM-632 was the best for number of sympodial branches per plant, boll weight, fiber length and strength, and VH-367 × CIM-632 proved the best for ginning outturn (GOT).

scholarly journals Genome-wide association analysis of fiber fineness and yield in ramie (Boehmeria nivea) using SLAF-seq

2020 ◽  
Author(s):  
Kunyong Huang ◽  
Yaliang Shi ◽  
Yicheng Zhong ◽  
Aiguo Zhu ◽  
Zhimin Sun ◽  
...  
Keyword(s):  
Population Structure ◽  
Linkage Disequilibrium ◽  
Natural Fiber ◽  
Stem Diameter ◽  
Genome Wide Association ◽  
Skin Thickness ◽  
Ramie Fiber ◽  
Fiber Yield ◽  
Genome Wide ◽  
Fiber Fineness

Abstract Background Ramie is a major natural fiber crop cultivated in East Asia. The improvement of its fiber yield and fineness are important breeding goals. Fiber yield is a complex quantitative trait comprising ramet number, stem diameter, plant height, skin thickness, and fiber percentage. The fiber fineness is a crucial trait for ramie fiber quality. However, there are few association studies for fiber yield traits and fiber fineness on ramie, and lack high-density SNP maps in natural ramie population. Results Here, a panel of 112 core ramie germplasms were genotyped by 215,376 consistent single-nucleotide polymorphisms (SNPs) from specific-locus amplified-fragment sequencing (SLAF-seq), and used for genome-wide association study of fiber fineness and yield. Subsequently, the genetic diversity, linkage disequilibrium (LD), and population structure was conducted based on 215,376 SNPs. Population cluster analysis disclosed five subpopulations. Neighbor-joining (NJ) analysis revealed three major clusters. No obvious relationships were identified between them and their geographic origins. The genome-wide linkage disequilibrium (LD) decayed to r 2 = 0.1 was ~11.75 kb in physical distance. One, seven, one, seven, and twenty-seven significant SNP marker associations were detected for fiber fineness (third season), stem diameter (third season), stem skin thickness (third season), fiber percentage (second season), and fiber percentage (third season), respectively. Two promising candidate genes, whole_GLEAN_10029622 and whole_GLEAN_10029638 resided in the significant trait-SNP association for fiber fineness (third season), which annotated as a cotton fiber-expressed protein and an Arabidopsis thaliana homeobox protein ATH1, respectively and validated by qPCR. Conclusions These results provide information for understanding the population structure, LD decay and genetic variation in ramie natural population. The identified loci or genes for fiber fineness and yield may provide the basis for future research on fiber fineness and yield and marker-assisted selection breeding for ramie.

scholarly journals Heritability and correlation analysis of morphological and yield traits in genetically modified cotton

2020 ◽  
Author(s):  
Abdul Rehman ◽  
Nida Mustafa ◽  
Du Xiongming ◽  
Muhammad Tehseen Azhar
Keyword(s):  
Plant Height ◽  
Fiber Length ◽  
Fiber Strength ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Plant Seed ◽  
Seed Cotton Yield ◽  
Fiber Fineness ◽  
Boll Weight ◽  
Seed Index

Abstract Background Cotton is known for fiber extraction and it is grown in tropical and sub-tropical areas of the world due to having hot weather. Cotton crop has a significant role in GDP of Pakistan. Therefore, the two years research was conducted to estimate heritability and association among various yield contributing parameters of cotton i.e. plant height, number of bolls per plant, number of sympodial branches per plant, seed cotton yield, boll weight, seed index, GOT, fiber length, fiber strength, and fiber fineness. Results Association analysis revealed that seed cotton yield had significant positive correlation with plant height, number of bolls per plant, number of sympodial branches per plant, GOT, staple length and fiber strength. Staple length and fiber strength were negatively linked with each other. Estimates of heritability were high for all of the traits except number of sympodial branches per plant and boll weight. Conclusion The parent IUB-222 was found to be best for plant height, number of bolls per plant, boll weight, GOT, seed cotton yield and seed index. The genotypes namely NIAB-414 and VH-367 were identified as best parents for fiber length, strength and fineness. Among the crosses NIAB-414 × IUB-222 was best for number of bolls per plant, seed index, seed cotton yield and fiber fineness, whereas, cross of NIAB-414 × CIM-632 was good for plant height. The combination of A555 × CIM-632 was best for number of sympodial branches per plant, boll weight, fiber length and strength, and VH-367 × CIM-632 proved best for GOT.

Effect of Integrated Nutrient Management on Yield and Quality of Garlic cv. Yamuna Safed-3

2020 ◽  
Vol 7 (04) ◽  
Author(s):  
A B Priyanshu ◽  
M K Singh ◽  
Mukesh Kumar ◽  
Vipin Kumar ◽  
Sunil Malik ◽  
...  
Keyword(s):  
Nutrient Management ◽  
Block Design ◽  
Quality Parameters ◽  
Organic Fertilizers ◽  
Research Centre ◽  
Yield And Quality ◽  
Randomized Block Design ◽  
The Impact ◽  
Horticultural Research

An experiment was conducted at Horticultural Research Centre, SVP University of Agriculture and Technology, Meerut (UP) during Rabi season of 2018-19 to assess the impact of different INM doses on yield and quality parameters of garlic. A total of ten treatments consisting of combinations of inorganic fertilizers, organic fertilizers and bio-fertilizers like T1- (Control), T2RDF (100:50:50 kg NPK ha-1), T3-RDF + 20 kg sulphur + FYM 20 ton ha-1, T4- RDF + 20 kg sulphur + VC 4 ton ha-1, T5- 75% RDF + 40 kg sulphur + 5 ton FYM ha-1+ PSB 5 kg ha-1, T6-75% RDF + 40 kg sulphur + 2 ton VC + Azotobacter 5 kg ha-1, T7- 75% RDF + 40 kg sulphur + FYM 3 ton + VC 1 ton+ PSB 5 kg + Azotobacter 5kg ha-1, T8- 50% RDF + 40 kg sulphur + FYM 5 ton + VC2 ton + PSB 5 kg ha-1, T9- 50% RDF + 40 kg sulphur + FYM5 ton + VC 2 ton+ Azotobacter 5 kg ha-1and T10- 50% RDF + 40 kg sulphur + FYM 5 ton + VC2 ton + PSB 5 kg + Azotobacter 5 kg ha-1 were used in Randomized Block Design and replicated thrice. Out of these an application of T7 (75% RDF + 40 kg sulphur + FYM3 ton + VC 1 ton ha-1 + PSB 5 kg + Azotobacter 5 kg ha-1) was found to be significantly superior in term of yield and attributing parameters of garlic.

Fiber yield and quality in cotton under drought: Effects and management

2021 ◽  
Vol 255 ◽  
pp. 106994
Author(s):  
Sami Ul-Allah ◽  
Abdul Rehman ◽  
Mubshar Hussain ◽  
Muhammad Farooq
Keyword(s):  
Yield And Quality ◽  
Fiber Yield ◽  
Drought Effects

A Computer Simulation Approach for Engineering Air-Jet Spun Yarns

1997 ◽  
Vol 67 (3) ◽  
pp. 223-230 ◽  
Author(s):  
Rangaswamy Rajamanickam ◽  
Steven M. Hansen ◽  
Sundaresan Jayaraman
Keyword(s):  
Computer Simulation ◽  
Computer Simulations ◽  
Fiber Length ◽  
Experimental Investigations ◽  
Simulation Approach ◽  
Air Jet ◽  
Fiber Fineness ◽  
Spun Yarns ◽  
Yarn Count ◽  
Wrap Angle

A computer simulation approach for engineering air-jet spun yarns is proposed, and the advantages of computer simulations over experimental investigations and stand-alone mathematical models are discussed. Interactions of the following factors in air-jet spun yarns are analyzed using computer simulations: yarn count and fiber fineness, fiber tenacity and fiber friction, fiber length and fiber friction, and number of wrapper fibers and wrap angle. Based on the results of these simulations, yarn engineering approaches to optimize strength are suggested.

scholarly journals Effect of Fertilization with Urea and Inhibitors on Growth, Yield and CBD Concentration of Hemp (Cannabis sativa L.)

2021 ◽  
Vol 13 (4) ◽  
pp. 2157
Author(s):  
Ioanna Kakabouki ◽  
Angeliki Kousta ◽  
Antigolena Folina ◽  
Stella Karydogianni ◽  
Charikleia Zisi ◽  
...  
Keyword(s):  
Plant Height ◽  
Field Experiments ◽  
Cannabis Sativa ◽  
Nitrification Inhibitor ◽  
Growth Yield ◽  
Urease Inhibitor ◽  
Significance Level ◽  
Yield And Quality ◽  
Positive Effect ◽  
Urea Fertilization

Field experiments were conducted during 2019 in two different locations in Greece (Athens and Farsala) to evaluate the effect of urea and urea fertilization with inhibitors on the agronomic yield and quality characteristics of two cannabis varieties (Cannabis sativa L.), “Uso31”and “Fedora 17”. The experimental design was split-plot with four different fertilization treatments—control, Urea (U), urea with Urease Inhibitor (UI), and urea with Nitrification Inhibitor (NI) and urease inhibitor (UI). The significance of differences between treatments was estimated by using Tukey’s test with a significance level of p = 0.05. The plant height was significantly affected by the different fertilizations and different varieties as well as by the two locations. The maximum plant height was 197 cm for “Fedora 17”in Farsala. The seed yield was higher forthe urea with inhibitors treatment in both varieties. The Cannabidiol (CBD) content was significantly affected by the fertilization—it was higher in urea with inhibitors in “Uso31”and “Fedora 17” treatments. The lowest CBD content value was 1.29% (control) and the highest was 1.69% (urea NI + UI). In conclusion, in both varieties, it seems that urea with inhibitors has a positive effect on their growth, as well as on the increase in cannabidiol (CBD) content.

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