Advances in Plant Breeding Strategies: Breeding, Biotechnology and Molecular Tools 2015
DOI: 10.1007/978-3-319-22521-0_21
|View full text |Cite
|
Sign up to set email alerts
|

Molecular Breeding for Genetic Improvement of Cotton (Gossypium spp.)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0
1

Year Published

2019
2019
2025
2025

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(8 citation statements)
references
References 70 publications
0
7
0
1
Order By: Relevance
“…Meanwhile, resistance breakdown along with emergence of new strains of insect pests remains major challenge for cotton breeders (Abro et al 2004;Men et al 2005). In this regard, the targeted genome editing could be vital to develop resilient cotton against bollworms (Boopathi et al 2015).…”
Section: Biotic Stress Resilient Cottonmentioning
confidence: 99%
“…Meanwhile, resistance breakdown along with emergence of new strains of insect pests remains major challenge for cotton breeders (Abro et al 2004;Men et al 2005). In this regard, the targeted genome editing could be vital to develop resilient cotton against bollworms (Boopathi et al 2015).…”
Section: Biotic Stress Resilient Cottonmentioning
confidence: 99%
“…Major traits such as quality, yield and disease resistance are under the control of multiple genes called "quantitative trait" (Bolek et al, 2016). Identification of markers tightly linked to the quantitative trait loci allows the breeders to easily identify the target trait in early growth stages of plants (Boopathi et al, 2015). The identification of molecular markers linked to CLCuVD resistance has the potential to improve both the efficacy and efficiency of selection in cotton breeding programs.…”
Section: Relationship Of Clcuv With Whiteflymentioning
confidence: 99%
“…Falsos positivos também podem ocorrer pelo efeito de uma eventual presença de estrutura populacional, além da identificação de locos epistáticos, que ainda representa um dos maiores desafios da GWAS (SIVASUBRAMANIAN et al 2015). Neste aspecto, o uso do mapeamento de associação aninhada (Nested Association Mapping -NAM), aplicado de forma pioneira no milho, pode minimizar esses problemas por meio de uma abordagem integrada, que combina o mapeamento clássico de QTL e o de associação, além de considerar as estruturas dentro das populações (BOOPATHI et al, 2015;SIVASUBRAMANIAN et al, 2015).…”
Section: Análise De Associaçãounclassified