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Title: Combining ability and inbreeding depression analysis for yield and fiber traits in cotton genotypes
Authors: Kalim Ullah, Saeed Muhammad, Rashid Khan, Farkhanda Khan, Muhammad Arif, Aslam Noor, Fazal Yazdan Saleem
Journal: International Journal of Cotton Research and Technology (IJCRT)
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Scientific Press (SMC-Private) Limited
Country: Pakistan
Year: 2023
Volume: 5
Issue: 1
Language: English
DOI: 10.33865/ijcrt.005.01.1079
Keywords: Gossypium hirsutumcombining abilityinbreeding depressionparent’s selectionF1F2 populations
Cotton is the crop of great industrial relevance and provides 90% world textile fiber. The aim of the present study was to investigate the genetic control and inbreeding depression of the yield and fiber traits in F 1 and F 2 generations and to pin point the most promising hybrids to obtain the superior cotton genotypes. Four cotton genotypes were crossed in half diallel fashion and data was recorded on number of bolls plant -1 , boll weight, ginning out turn, fiber length, and fiber strength and micronaire value. The additive genetic effects were the most promising for all the studied yield and fiber traits. Genotype FH-142 was found to be the most appropriate parent to create crossing blocks for the enhancement of yield and fiber traits. The hybrids FH-142 × AA-934 and CRIS-600 × CEMB-33 were the most appropriate to obtain the segregating generations with the aim to select the most desirable genotypes. Inbreeding depression was recorded to be more prominent in the yield related traits in comparison to fiber traits
To investigate the genetic control and inbreeding depression of yield and fiber traits in F1 and F2 generations of cotton, and to identify promising hybrids for superior genotype development.
Four cotton genotypes (FH-142, AA-934, CRIS-600, and CEMB-33) were crossed in a half diallel fashion. Data was collected on number of bolls plant-1, boll weight, ginning out turn, fiber length, fiber strength, and micronaire value in F1 and F2 generations. Statistical analysis included analysis of variance, general combining ability (GCA), specific combining ability (SCA) using Griffing's approach, and estimation of inbreeding depression.
graph TD
A[Select Four Cotton Genotypes] --> B[Perform Half Diallel Crosses];
B --> C[Obtain F1 Seeds];
C --> D[Sow F1 Generation];
D --> E[Self-pollinate F1 for F2 Seeds];
E --> F[Sow F2 Generation];
F --> G[Record Data on Yield and Fiber Traits];
G --> H[Perform Statistical Analysis: ANOVA, GCA, SCA];
H --> I[Estimate Inbreeding Depression];
I --> J[Identify Promising Hybrids and Parents];
J --> K[Draw Conclusions and Implications];
The study highlights the importance of additive genetic effects in cotton breeding for yield and fiber quality. Genotype FH-142 is identified as a valuable parent for crosses aimed at improving these traits. The identified promising hybrids can be used to develop segregating generations for selection of superior genotypes. The observed inbreeding depression suggests that while hybrid vigor exists, it may decrease in advanced generations.
Additive genetic effects were predominant for most yield and fiber traits. Genotype FH-142 showed high GCA for several traits. Hybrids FH-142 × AA-934 and CRIS-600 × CEMB-33 showed promising SCA. Inbreeding depression was more pronounced in yield-related traits compared to fiber traits.
Additive genetic effects are crucial for improving yield and fiber traits in cotton. Genotype FH-142 is a key parent for breeding programs. Hybrids FH-142 × AA-934 and CRIS-600 × CEMB-33 are recommended for developing superior cotton genotypes. Inbreeding depression is a significant factor, particularly for yield traits.
* Cotton provides 90% of the world's textile fiber. (Confirmed in abstract and introduction)
* Pakistan is the 5th largest cotton producer, 3rd largest consumer, 3rd largest yarn producer, 2nd largest yarn exporter, and 3rd largest cloth exporter. (Confirmed in introduction)
* The study used four cotton genotypes: FH-142, AA-934, CRIS-600, and CEMB-33. (Confirmed in Material and Methods)
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