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Estimating the combining ability and genetic parameters for growth habit, yield, and fiber quality traits in some Egyptian cotton crosses

Overview of attention for article published in BMC Plant Biology, March 2023
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Title
Estimating the combining ability and genetic parameters for growth habit, yield, and fiber quality traits in some Egyptian cotton crosses
Published in
BMC Plant Biology, March 2023
DOI 10.1186/s12870-023-04131-z
Pubmed ID
Authors

M.S. Abdel-Aty, F. A. Sorour, W. M. B. Yehia, H. M. K. Kotb, Ahmed M. Abdelghany, Sobhi F. Lamlom, Adnan Noor Shah, Nader R. Abdelsalam

Abstract

It is crucial to understand how targeted traits in a hybrid breeding program are influenced by gene activity and combining ability. During the three growing seasons of 2015, 2016, and 2017, a field study was conducted with twelve cotton genotypes, comprised of four testers and eight lines. Thirty-two F1 crosses were produced in the 2015 breeding season using the line x tester mating design. The twelve genotypes and their thirty-two F1 crosses were then evaluated in 2016 and 2017. The results demonstrated highly significant differences among cotton genotypes for all the studied traits, showing a wide range of genetic diversity in the parent genotypes. Additionally, the line-x-tester interaction was highly significant for all traits, suggesting the impact of both additive and non-additive variations in gene expression. Furthermore, the thirty-two cotton crosses showed high seed cotton output, lint cotton yield, and fiber quality, such as fiber length values exceeding 31 mm and a fiber strength above 10 g/tex. Accordingly, selecting lines and testers with high GCA effects and crosses with high SCA effects would be an effective approach to improve the desired traits in cotton and develop new varieties with excellent yield and fiber quality.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 29%
Student > Bachelor 2 14%
Student > Ph. D. Student 1 7%
Lecturer 1 7%
Unspecified 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 57%
Unspecified 1 7%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2023.
All research outputs
#18,995,465
of 23,549,388 outputs
Outputs from BMC Plant Biology
#2,142
of 3,315 outputs
Outputs of similar age
#269,870
of 395,245 outputs
Outputs of similar age from BMC Plant Biology
#52
of 83 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,315 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.