2018
DOI: 10.1016/j.indcrop.2018.08.054
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Identification of stable QTLs for fiber quality and plant structure in Upland cotton (G. hirsutum L.) under drought stress

Abstract: Cotton is an economically important commodity for nearly fifty industries including the textile sector which is largely based on cotton fiber. Identification of markers linked to loci for fiber traits under drought stress may be particularly beneficial because such loci could provide the genetic adaptability needed to produce good fiber under water limitation. In the present study, 177 simple sequence repeat (SSR) markers were used to detect significant quantitative trait loci (QTLs) linked to 11 fiber quality… Show more

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Cited by 16 publications
(14 citation statements)
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References 65 publications
(87 reference statements)
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“…Fiber quality is a main aim of cotton breeders both because fiber traits directly affect lint yield and improvement in spinning technology has an increased demand for high-grade fiber [ 43 ]. Fiber quality is the combination of fiber length, fiber fineness (cell wall thickness), fiber strength, fiber elasticity, neps (small nodules on the fiber), short fiber index, uniformity index, spinning consistency (suitability of fibers for yarn-spinning), color grade, and reflectance (brightness of fibers) [ 44 ]. Fiber quality traits are quantitative and controlled by multiple genes with major and minor phenotypic effects [ 45 ].…”
Section: Fiber Qualitymentioning
confidence: 99%
See 1 more Smart Citation
“…Fiber quality is a main aim of cotton breeders both because fiber traits directly affect lint yield and improvement in spinning technology has an increased demand for high-grade fiber [ 43 ]. Fiber quality is the combination of fiber length, fiber fineness (cell wall thickness), fiber strength, fiber elasticity, neps (small nodules on the fiber), short fiber index, uniformity index, spinning consistency (suitability of fibers for yarn-spinning), color grade, and reflectance (brightness of fibers) [ 44 ]. Fiber quality traits are quantitative and controlled by multiple genes with major and minor phenotypic effects [ 45 ].…”
Section: Fiber Qualitymentioning
confidence: 99%
“…Analysis of GLM showed that a total of 74 and 70 QTLs under well-watered and limited water conditions were identified, respectively. MLM identified 7 and 23 QTLs under well-water and water deficit, respectively [ 44 ].…”
Section: Fiber Qualitymentioning
confidence: 99%
“…These parameters are associated with biomass production under different climatic conditions, and can compute the partitioning index by comparing the organ growth rates. This function is useful for estimating dry matter allocation if loss of the accumulated biomass is negligible [14].Fiber strength, length, fineness, elasticity, short fiber index, uniformity index, spinning consistency color grade, and reflectance are fiber quality indicators [15]. These characteristics are negatively affected by genetic factors as well as environmental factors and poor management practices during flowering and the boll formation stage [3,16].…”
mentioning
confidence: 99%
“…Fiber strength, length, fineness, elasticity, short fiber index, uniformity index, spinning consistency color grade, and reflectance are fiber quality indicators [15]. These characteristics are negatively affected by genetic factors as well as environmental factors and poor management practices during flowering and the boll formation stage [3,16].…”
mentioning
confidence: 99%
“…Both LAI and yield increases slowly with an increase in plant density [22]. Fiber quality indicators including fiber strength, fitness, length, uniformity index, and fineness are negatively affected by environmental and genetic factors as well as poor management practices at flowering and boll formation stages [23,24]. Similarly, fiber quality is affected by plant density, irrigation, fertilization, and weather changes [23,25].…”
Section: Introductionmentioning
confidence: 99%