Negative associations still exist between yield and fibre quality in cotton breeding programs in Australia and USA

Clement, J.D.; Constable, G. A.; Stiller, Warwick N.; Liu, S.M.

doi:10.1016/j.fcr.2011.12.002

Cited by 60 publications

(44 citation statements)

References 31 publications

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“…Number of bolls per plant were found to be positively correlated with some quantitative traits (Table 2) which are confirming the findings of Salahuddin et al (2010), who reported positive correlation between quantitative traits of cotton, like seed cotton yield, number of bolls per plant and ginning out turn. Clement et al (2011) reported negative association among yield and fiber quality traits in upland cotton. Which showed that fiber length and fiber strength had negative association with seed cotton yield, whilst positive correlation was observed with fiber maturity.…”

Section: Discussionmentioning

confidence: 99%

GENETIC DIVERGENCE ASSESSMENT IN UPLAND COTTON (Gossypium hirsutum L.) USING VARIOUS STATISTICAL TOOLS

Shabbir¹,

Bashir²,

Shakeel³

et al. 2016

(JGIASS

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Sustainable cotton production depends upon evolution of the crop genotypes with higher yield, improved fiber quality and better tolerance against biotic and abiotic stresses. A field experiment was conducted at department of plant breeding and genetics, University of Agriculture, Faisalabad to access genetic divergence among 23 different genotypes of upland cotton for various yield and fiber related traits. The data were analyzed by using simple correlation coefficient, metroglyph, principal component and cluster analysis. Results from present study showed strong positive correlation (0.97) of number of bolls with seed cotton yield and also positive correlation with lint index (0.35) and fiber length (0.30); whilst fiber strength showed negative correlation (-0.45) with seed cotton yield. Amongst the seven clusters named I, II, III, IV, V, VI and VII, formed through metroglyph analysis, cluster III had maximum individual genotypic scores for various yield and fiber related traits. Principal component analysis partitioned total variability of genotypes into four PCs with the PC-1 contributing the highest (35%) towards the total variability (82.2%) with positive factor loadings of yield related traits such as number of bolls, seed cotton yield and fiber length. k-means cluster analysis grouped various studied genotypes/lines into three distinct clusters. Cluster-II and cluster-III showed better values for seed cotton yield, number of bolls, seed index and fiber length. The information generated through using various statistical tools to assess genetic diversity may be useful in developing a better cotton breeding program.

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Section: Discussionmentioning

confidence: 99%

GENETIC DIVERGENCE ASSESSMENT IN UPLAND COTTON (Gossypium hirsutum L.) USING VARIOUS STATISTICAL TOOLS

Shabbir¹,

Bashir²,

Shakeel³

et al. 2016

(JGIASS

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“…Soil fertility is considered as one of the most influential factors for fiber quality [86,87]. Soil nutrient are essential element for plants growth and fiber production.…”

Section: Soil Chemical Propertiesmentioning

confidence: 99%

The role of soil properties and it’s interaction towards quality plant fiber: A review

Khalil

Hossain

Rosamah

et al. 2015

Renewable and Sustainable Energy Reviews

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“…Therefore, it is interesting to introgress the favorable genes for fiber quality from G.b to G.h to improve the fiber quality and yield simultaneously. However, introgression is very difficult for breeders to implement using conventional breeding, because all of the related traits are quantitative traits controlled by multiple genetic loci, and the fiber quality and yield-related traits are usually negatively correlated (Clement et al 2012;Ma et al 2014;Yu et al 2016). Fortunately, with the rapid development of high-precision molecular marker technology and gene mapping, an increasing number of genetic maps and QTL have been identified (Jia et al 2016;Kushanov et al 2016).…”

Section: Introductionmentioning

confidence: 99%

QTL mapping and genetic effect of chromosome segment substitution lines with excellent fiber quality from Gossypium hirsutum × Gossypium barbadense

Liú

Kong

et al. 2019

Mol Genet Genomics

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Chromosome segment substitution lines (CSSLs) are ideal materials for identifying genetic effects. In this study, CSSL MBI7561 with excellent fiber quality that was selected from BC 4 F 3:5 of CCRI45 (Gossypium hirsutum) × Hai1 (Gossypium barbadense) was used to construct 3 secondary segregating populations with 2 generations (BC 5 F 2 and BC 5 F 2:3). Eighty-one polymorphic markers related to 33 chromosome introgressive segments on 18 chromosomes were finally screened using 2292 SSR markers which covered the whole tetraploid cotton genome. A total of 129 quantitative trait loci (QTL) associated with fiber quality (103) and yield-related traits (26) were detected on 17 chromosomes, explaining 0.85-30.35% of the phenotypic variation; 39 were stable (30.2%), 53 were common (41.1%), 76 were new (58.9%), and 86 had favorable effects on the related traits. More QTL were distributed in the Dt subgenome than in the At subgenome. Twenty-five stable QTL clusters (with stable or common QTL) were detected on 22 chromosome introgressed segments. Finally, the 6 important chromosome introgressed segments (Seg-A02-1, Seg-A06-1, Seg-A07-2, Seg-A07-3, Seg-D07-3, and Seg-D06-2) were identified as candidate chromosome regions for fiber quality, which should be given more attention in future QTL fine mapping, gene cloning, and marker-assisted selection (MAS) breeding.

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Negative associations still exist between yield and fibre quality in cotton breeding programs in Australia and USA

Cited by 60 publications

References 31 publications

GENETIC DIVERGENCE ASSESSMENT IN UPLAND COTTON (Gossypium hirsutum L.) USING VARIOUS STATISTICAL TOOLS

GENETIC DIVERGENCE ASSESSMENT IN UPLAND COTTON (Gossypium hirsutum L.) USING VARIOUS STATISTICAL TOOLS

The role of soil properties and it’s interaction towards quality plant fiber: A review

QTL mapping and genetic effect of chromosome segment substitution lines with excellent fiber quality from Gossypium hirsutum × Gossypium barbadense

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