Molecular Marker Diversity and Field Performance in Commercial Cotton Cultivars Evaluated in the Southwestern USA

Zhang, Jinfa; Lu, Yingzhi; Cantrell, R. G.; Hughs, E.

doi:10.2135/cropsci2004.0581

Cited by 69 publications

(62 citation statements)

References 36 publications

(45 reference statements)

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“…Although there may be exceptions, there was high similarity between most of the genotypes tested, agreeing L. F. Araújo et al with other work already done on strains of upland cotton (BERTINI et al, 2006;MENEZES et al, 2008;RAHMAN et al, 2002;ULLAH, I. et al 2012;ZHANG et al, 2005). According to McCarty et al, (2007), breeding programs for cotton present a narrowing of the genetic base, which requires detailed genealogical studies into the parent plants used in these programs in order to avoid related crossings.…”

Section: Resultssupporting

confidence: 79%

The use of different clustering methods in the evaluation of genetic diversity in upland cotton

Araújo¹,

Almeida²,

Bertini³

et al. 2014

Rev. Ciênc. Agron.

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-The continuous development and evaluation of new genotypes through crop breeding is essential in order to obtain new cultivars. The objective of this work was to evaluate the genetic divergences between cultivars of upland cotton (Gossypium hirsutum L.) using the agronomic and technological characteristics of the fibre, in order to select superior parent plants. The experiment was set up during 2010 at the Federal University of Ceará in Fortaleza, Ceará, Brazil. Eleven cultivars of upland cotton were used in an experimental design of randomised blocks with three replications. In order to evaluate the genetic diversity among cultivars, the generalised Mahalanobis distance matrix was calculated, with cluster analysis then being applied, employing various methods: single linkage, Ward, complete linkage, median, average linkage within a cluster and average linkage between clusters. Genetic variability exists among the evaluated genotypes. The most consistant clustering method was that employing average linkage between clusters. Among the characteristics assessed, mean boll weight presented the highest contribution to genetic diversity, followed by elongation at rupture. Employing the method of mean linkage between clusters, the cultivars with greater genetic divergence were BRS Acacia and LD Frego; those of greater similarity were BRS Itaúba and BRS Araripe.Key words: Gossypium hirsutum L.. Fibre quality. Agronomic characteristics.RESUMO -A geração e avaliação contínua de novos genótipos, por meio do melhoramento genético, é fundamental para a obtenção de novas cultivares. Foi o objetivo deste trabalho avaliar a divergência genética entre cultivares de algodoeiro herbáceo (Gossypium hirsutum L.), por meio de características agronômicas e tecnológicas da fibra, visando à seleção de parentais superiores. O experimento foi implantado na Universidade Federal do Ceará, Fortaleza/CE, em 2010. Foram usadas 11 cultivares de algodão herbáceo, utilizando o delineamento experimental em blocos casualizados, com três repetições. Para avaliação da divergência genética entre as cultivares foi obtida a matriz de distâncias generalizada de Mahalanobis, e em seguida, realizado agrupamento por diferentes métodos, sendo eles o método da ligação simples, de Ward, da ligação completa, da mediana, da ligação média dentro de grupo e da ligação média entre grupo. Há variabilidade genética entre os genótipos avaliados. O método de agrupamento que apresentou maior consistência foi a ligação média entre grupo. O peso médio do capulho apresentou a maior contribuição para a diversidade genética, seguida do alongamento à ruptura dentre os caracteres avaliados. As cultivares de maior divergência genética, usando o método de ligação média entre grupo, foram a BRS Acácia e LD Frego; as de maior similaridade foram a BRS Itaúba e BRS Araripe. Palavras-chave:Gossypium hirsutum L.. Qualidade da fibra. Características agronômicas.*Autor para correspondência 1 Recebido para publicação em 02/06/2012; aprovado em 03/12/2013 Parte da Monografia do ...

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Section: Resultssupporting

confidence: 79%

The use of different clustering methods in the evaluation of genetic diversity in upland cotton

Araújo¹,

Almeida²,

Bertini³

et al. 2014

Rev. Ciênc. Agron.

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“…DNA molecular markers were the most effective method of genetic analysis at the DNA level. In cotton, various molecular markers have been applied in genetic diversity analysis such as simple sequence repeats (SSRs), rapid amplification of polymorphic DNA (RAPD), amplified fragment length polymorphism, inter-SSR, and sequence-related amplified polymorphism; the cotton species included Gossypium hirsutum (Xu et al, 2001;Rana et al, 2005;Zhang et al, 2005;Wu et al, 2010;Kalivas et al, 2011), G. barbadense (Westengen et al, 2005;El-Zanaty et al, 2011;Wang et al, 2011), and G. arboretum (Liu et al, 2006;Kantartzi et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

Genetic dissection of upland cotton (Gossypium hirsutum) cultivars developed in Hubei Province by mapped SSRs

Zhang

Wang

et al. 2014

Genet. Mol. Res.

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ABSTRACT. The genetic diversity of 51 upland cotton cultivars with different parental origins and breeding periods that were developed in Hubei Province was studied on the basis of 237 mapped simple sequence repeat markers covering the cotton genome. A total of 108 polymorphic primer pairs amplified 196 loci; the polymorphism information content range was 0.04 to 0.83, with an average of 0.46. A model-based clustering analysis (STRUCTURE) of the genomic data identified 3 clear subpopulations, and the result was confirmed by principal components analysis. The genetic similarity coefficient among 51 upland cotton cultivars was 0.598 on average, ranging from 0.378 to 0.817. The unweighted pair group method with arithmetic average cluster analysis revealed inconsistencies in other clustering patterns: "Tianmian1" was distinct from the rest of the materials and formed a separate cluster. This study will provide a guide for breeders to develop Genetic diversity of upland cotton by mapped SSRs new cultivars efficiently and to choose parents, and it supports the need to introduce new alleles into the gene pool of the upland cotton breeding program in Hubei Province.

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“…This phenomenon has been demonstrated in multiple investigations (Liu et al 2000;Gutierrez et al 2002;Lacape et al 2007;Rahman et al 2002b). Second, limited use of wild cotton species for breeding new cultivars is another major reason for the narrow genetic base, a major cause of stagnation in cotton productivity worldwide (Rahman et al 2002a;Zhang et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Pros and cons of using genomic SSRs and EST-SSRs for resolving phylogeny of the genus Gossypium

2013

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The genus Gossypium is comprised of 50 diverse cotton species representing eight different genomes (A through G and K), however, phylogenetic relationship using various DNA marker types such as RAPD and SSRs was determined on limited number of cotton species. In this report, we have demonstrated the application of genomic SSRs (gSSRs) and EST-SSRs, and after combining both the data sets, for resolving the phylogenies of 36 cotton species including seven races. Out of the 100 primer pairs surveyed (50 for gSSRs and 50 for ESTSSRs), 75 produced scorable amplification products in all species. Out of these, 73 were found to be polymorphic and amplified 135 alleles ranging from 1 to 5 alleles per SSR marker (average 2.87 alleles per marker). The gSSRs amplified higher number of alleles (72) compared to the EST-SSRs (63). In total 22 highly informative SSRs with PIC values C0.5 were identified. Genomic SSRs containing di-while EST-SSRs containing tri-nucleotide repeats exhibited high polymorphism compared to the other nucleotide repeats containing gSSRs/EST-SSRs. Number of tandem repeats and polymorphism were positively correlated. Neither the type of chromosome nor the location of the SSRs showed association with the polymorphism. Gossypium herbaceum var. africanum (Watt) Hutch. ex and Ghose and Gossypium robinsonii F. Muell. were found the most genetically diverse, while among races of Gossypium hirsutum L. ''yucatanense'' and G. hirsutum ''punctatum'' were found genetically diverse. Of the three data sets, clustering analysis based on EST-SSRs and combined data sets, revealed parallel results reported in earlier studies. This study further confirmed that Gossypium darwinii Watt has close relationship with Gossypium barbadense L. Moreover, Gossypium raimondii Ulbr. and G. herbaceum/Gossypium arboreum L. are close living relatives of the ancestor allotetraploid species. Our studies suggest that for resolving phylogenetic relationship among the various plant species EST-SSRs could be a better choice. This information can be instrumental in transferring novel alleles or loci from the wild species into the cultivated cotton species which would set a stage for cultivating genetically diverse cultivars-a way to achieve sustainable cotton production in changing climate.

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Molecular Marker Diversity and Field Performance in Commercial Cotton Cultivars Evaluated in the Southwestern USA

Cited by 69 publications

References 36 publications

The use of different clustering methods in the evaluation of genetic diversity in upland cotton

The use of different clustering methods in the evaluation of genetic diversity in upland cotton

Genetic dissection of upland cotton (Gossypium hirsutum) cultivars developed in Hubei Province by mapped SSRs

Pros and cons of using genomic SSRs and EST-SSRs for resolving phylogeny of the genus Gossypium

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