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 w...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.展开更多
Cotton is the prime natural fiber with economic significance globally.Cotton farming and breeding have a long his-tory in Pakistan.The development of high yielding upland cotton(Gossypium hirsutum)varieties gradually ...Cotton is the prime natural fiber with economic significance globally.Cotton farming and breeding have a long his-tory in Pakistan.The development of high yielding upland cotton(Gossypium hirsutum)varieties gradually replaced the cultivation of diploid Gossypium species.Climate change along with emergence of new epidemic diseases caused yield loss in recent years.The biotic stress considerably reduced the performance and yield potential of cotton.Suit-able breeding strategies are essential to generate useful genetic variations and to identify desired traits.Conventional breeding has remarkably increased cotton yield and fiber quality,which has cultivated the NIAB-78,S-12,MNH‐786,and FH‐Lalazar like cultivars.However,this phenotypic selection based breeding method has low efficiency to pro-duce stress resilient cotton.The efficiency of traditional breeding has significantly improved by the marker assisted selection technology.Breakthroughs in molecular genetics,bioinformatics analysis,genetic engineering,and genome sequencing have opened new technique routes for cotton breeding.In addition,genetic improvement through quantitative trait loci,transcriptome,and CRISPR/Cas9 mediated genomic editing can provide suitable platform to improve the resistance to stresses induced by bollworms,cotton leaf curl virus,heat,drought,and salt.The approval of transgenic lines harboring triple gene Cry1Ac+Cry2A+GTG are critical for cotton crop.This review has critically discussed the progress and limitations of cotton breeding in Pakistan,and reviewed the utilization of novel genetic variations and selection tools for sustainable cotton production.展开更多
基金funded through Cotton Breeding Australia,a Joint Venture between CSIRO and Cotton Seed Distributors(Wee Waa,NSW 2388,Australia)。
文摘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.
基金This work was sponsored by funds from the Zhongyuan Academician Founda-tion(212101510001)the General Program of the National Natural Science Foundation of China(31871679).
文摘Cotton is the prime natural fiber with economic significance globally.Cotton farming and breeding have a long his-tory in Pakistan.The development of high yielding upland cotton(Gossypium hirsutum)varieties gradually replaced the cultivation of diploid Gossypium species.Climate change along with emergence of new epidemic diseases caused yield loss in recent years.The biotic stress considerably reduced the performance and yield potential of cotton.Suit-able breeding strategies are essential to generate useful genetic variations and to identify desired traits.Conventional breeding has remarkably increased cotton yield and fiber quality,which has cultivated the NIAB-78,S-12,MNH‐786,and FH‐Lalazar like cultivars.However,this phenotypic selection based breeding method has low efficiency to pro-duce stress resilient cotton.The efficiency of traditional breeding has significantly improved by the marker assisted selection technology.Breakthroughs in molecular genetics,bioinformatics analysis,genetic engineering,and genome sequencing have opened new technique routes for cotton breeding.In addition,genetic improvement through quantitative trait loci,transcriptome,and CRISPR/Cas9 mediated genomic editing can provide suitable platform to improve the resistance to stresses induced by bollworms,cotton leaf curl virus,heat,drought,and salt.The approval of transgenic lines harboring triple gene Cry1Ac+Cry2A+GTG are critical for cotton crop.This review has critically discussed the progress and limitations of cotton breeding in Pakistan,and reviewed the utilization of novel genetic variations and selection tools for sustainable cotton production.
