Are yarn quality prediction tools useful in the breeding of high yielding and better fibre quality cotton(Gossypium hirsutum L.)?

Results The population had large variations for lint yield,fibre properties,predicted yarn properties,and composite fibre quality values.Lint yield with all fibre quality traits was not correlated.When the selection was conducted first to keep those with improved fibre quality,and followed for high yields,a large proportion in the resultant populations was the same between selections based on Cottonspec predicted yarn quality and HVI-measured fibre properties.They both exceeded the selection based on FQI and Background The approach of directly testing yarn quality to define fibre quality breeding objectives and progress the selection is attractive but difficult when considering the need for time and labour.The question remains whether yarn prediction tools from textile research can serve as an alternative.In this study,using a dataset from three seasons of field testing recombinant inbred line population,Cottonspec,a software developed by the Commonwealth Scientific and Industrial Research Organisation(CSIRO)for predicting ring spun yarn quality from fibre properties measured by High Volume Instrument(HVI),was used to select improved fibre quality and lint yield in the population.The population was derived from an advanced generation inter-crossing of four CSIRO conventional commercial varieties.The Cottonspec program was able to provide an integrated index of the fibre qualities affecting yarn properties.That was compared with selection based on HVI-measured fibre properties,and two composite fibre quality variables,namely,fibre quality index(FQI),and premium and discount(PD)points.The latter represents the net points of fibre length,strength,and micronaire based on the Premiums and Discounts Schedule used in the market while modified by the inclusion of elongation.PD points.Conclusions The population contained elite segregants with improved yield and fibre properties,and Cottonspec predicted yarn quality is useful to effectively capture these elites.There is a need to further develop yarn quality prediction tools through collaborative efforts with textile mills,to draw better connectedness between fibre and yarn quality.This connection will support the entire cotton value chain research and evolution.

Assessing genetic variation in Gossypium barbadense L.germplasm based on fibre characters

Background Gossypium barbadense L.has specific fibre in terms of its length,strength,and fineness,and known as extra-long staple(ELS) cotton,Sea–Island cotton,or Egyptian cotton.Narrow genetic base with less genetic variability is observed in G.barbadense germplasm.Hence,this study was aimed to evaluate the genetic variability present in 108 germplasm accessions of G.barbadense and to identify the superior genotypes based on the fibre traits.Results We evaluated 108 accessions for five fibre quality traits along with three checks in augmented block design.All fibre traits showed significant differences among genotypes,indicating that there is genetic potential for improvement.Fibre strength and micronaire(MIC) showed high phenotypic and genotypic coefficients of variation.High heritability combined with high genetic advance as percentage of mean(GAM) was recorded for fibre length,strength,and micronaire.Fibre strength and fibre length were significantly correlated with each other,while both showed negative correlation with micronaire.Principal component analysis and Biplot analysis showed that uniformity index discriminated all the genotypes in higher level,while fibre length and strength were medium in discrimination power.Biplot revealed genotypes DB 16,EC959191,GSB 39,ARBB 20,5746U,EA 203,and EA 201 were genetically diverse.Hierarchal cluster analysis based on unweighted paired group method using arithmetic average(UPGMA) grouped the genotypes into four clusters,with each cluster consisting of 4,18,48,and 38 genotypes,respectively.Conclusion Among the genotypes,34 for fibre length(> 35 mm),18 for fibre strength(> 40.4 g·tex^(-1)) and 66 for micronaire(3.7-4.2,A grade) were identified as potential accessions based on their superiority.The superior fibre genotypes identified in this study are potential lines for the ELS cotton breeding program.

Effect of nitrogen application level on cotton fibre quality

The nitrogen(N)requirements of cotton are well understood and have been extensively studied since 1887,with practical guides,decision support systems,models and recent reviews providing information on the importance of providing cotton crops with a sufficient supply of nutrients and improving nitrogen use efficiency.Given that the financial return to the grower depends on both the cotton quantity and quality and the growing importance of the latter,this review focusses specifically on information and knowledge about the effect of nitrogen application level on fibre quality.