Recurrent Selection for Lint Yield and Its Components of Some Egyptian Cotton Genotypes

El-Lawendey, Mohamed M.; El-Okkiah, Ahmed F. H.; Sary, G. A.; Mohamed, Mohamed K.

doi:10.21608/ejar.2008.203888

Cited by 3 publications

(5 citation statements)

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“…Indicating wide range of variability of the population and selection for seed cotton yield could be effective. Similar results are found by Shaheen et al (2000), Jin and Zhang (2005), El-Lawendey et al (2008) and El-Okkiah et al (2008).…”

Section: Resultssupporting

confidence: 91%

Efficiency of Selection for Seed Cotton Yield under Newly Reclaimed Lands Conditions

Salem

Mahrous²,

Hussein³

et al. 2022

Journal of Plant Production

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Selection for seed cotton yield plant -1 was applied in F2, F3 and F4-generations of a population of cross Giza 80 X Giza 90 cotton. The experiment was carried out during three successive summer seasons; 2019, 2020 and 2021 at farm west of Minia, El Minia under new reclaimed lands conditions. Entries mean squares of the selection criterion; seed cotton yield were significant or highly significant in F3 and F4-generations. Reduction was observed in the phenotypic and genotypic coefficients of variability from F3 to F4 compared to the phenotypic variation in F2 for the most studied traits as a result the selection for seed cotton yield/plant and reduction the genetic variation. Moreover, increasing the homozygosity. The four selected families of no. 13, 17, 18 and 26 were showed highly significant increase compared to both bulk and better parent for the two traits seed cotton yield and lint yield plant -1 . Seed cotton yield /plant was showed positive genotypic and phenotypic correlation coefficients with bolls weight, lint yield /plant -1 and number of bolls plant -1 . While, negative correlations were observed for Seed cotton yield / plant with each of lint percentage and lint index on genotypic and phenotypic levels.

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Section: Resultssupporting

confidence: 91%

Efficiency of Selection for Seed Cotton Yield under Newly Reclaimed Lands Conditions

Salem

Mahrous²,

Hussein³

et al. 2022

Journal of Plant Production

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“…The values of (b) weights for SCY ranged between 0.153 in the index (I 124 ) that includes SCY, PH and NOB, and 0.589 in the index (I 14567 ) that includes SCY, NOB, BW, SI and LI, and were positive in all selection indices, while their values for all other traits were positive or negative in the selection indexes shown in the table. It is noted from Table (7) that the expected improvement in SCY in the selection indices at the intensity of selection 5% ranged between 5.539 for the index in sequence 1 and 8.413 in the index in sequences 2. The selection gain expressed by the relative efficiency of the selection indices (25 selection indices) presented in Table (6) ranged between 4.871% in the index in sequence 24 and 51.879% in the index in sequence 2.…”

Section: Resultsmentioning

confidence: 99%

“…created by all possible methods (some of them include SCY and some without it) and were tested in an attempt to identify those traits that are an assistant factor in future selection and to evaluate the genotypes used in this study. The expected improvement in SCY from selection based on different selection indices in addition to what is obtained from direct selection of SCY for a set of selection indices (including b weight values) is shown in Table (7) (selection indices whose efficiency was less than the case of direct selection of SCY alone were excluded). The values of (b) weights for SCY ranged between 0.153 in the index (I 124 ) that includes SCY, PH and NOB, and 0.589 in the index (I 14567 ) that includes SCY, NOB, BW, SI and LI, and were positive in all selection indices, while their values for all other traits were positive or negative in the selection indexes shown in the table.…”

Section: Resultsmentioning

confidence: 99%

“…The use of the selection index is surpassed in improving complex traits. Moreover, the selection index aims to identify the genotypes with the most values as well as the most suitable combination of traits with indirect expansion of different plants yield [7]. A review of the literatures indicates that most studies of plant selection have often focused on single or on multiple traits without considering relatedness, heritability, and weight values for traits, and less effort has been devoted to selection based on selection index.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Cotton Genotypes Through the Selection Index Technique

Omar,

Al-Zubaidy,

Al-Taweel

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Eight upland cotton genotypes introduced from different origins (BA440, FLASH, EDESSA, SPERO, IK259, W888, MONTANA and CANDIA) in addition to the two local cultivars (Coker 310 and Lachata) were cultivated on April 22 and 23, 2022 in the Rahmaniyah region at levels (0, 1, 2, and 3 g/liter). l) of nano-chelated NPK 20-20-20 under drip irrigation conditions, and using a randomized complete block design with three replications, in order to evaluate it by creating multiple selection indices and to estimate the expected increase in seed cotton yield. The results of the analysis of variance for the studied traits (seed cotton yield, plant height, number of fruiting per plant, number of bolls per plant, average boll weight, seed index, and lint index) showed that the mean square of genotypes and levels of nano-fertilizer and their interaction was highly significant for all traits except seed index in case of nano-fertilizer levels. The selection index that included the two traits of plant height and number of bolls per plant was characterized by a high increase in efficiency compared to direct selection of the seed cotton yield, indicating the importance of selection by adopting the selection index for several traits. This selection index in the current study was considered the best due to its high efficiency, and by adopting it in evaluating the genotypes, it was found that the highest mean of the index was 7.689 for the CANDIA genotype, with a significant difference from most other genotypes, followed by the FLASH and BA440 genotypes. The sequence of local varieties adopted in the study (Coker 310 and Lachata) in terms of performance was 10 and 7, respectively. It appeared that six introduced genotypes were superior to the best local cultivars (Lachata), and all introduced genotypes were higher than the least performing local variety (Coker 310).

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“…The index involved lint yield/plant, bolls/plant and seeds/boll, followed by selection index involved lint yield/plant, bolls/ plant and lint/seed, and selection index involved lint yield/plant and lint/seed were superior to all selection procedures in the actual genetic gain (Mabrouk, 2020). Two cycles of recurrent selection in Upland cotton and G. barbadense increased means of lint and seed cotton yield and bolls/plant and preserved genetic variation (Jin & Zhang, 2005;El-Lawendey et al, 2008). Independent culling involves establishing minimum culling levels for each trait and selectin only is for the individuals that meet these minimum levels.…”

Section: Introductionmentioning

confidence: 99%

Observed Genetic Gain from Selection in Egyptian Cotton (G. barbadense L) Under Normal and Saline Soils Mahdy, E.E. 1*, H. Mahrous 2, M.A. Sayed 1 and M.G. Housein 2 1 Department of Agronomy, Faculty of Agriculture, Assiut University, Assiut, Egypt.

Mahdy

Mahrous²,

Sayed

et al. 2022

Egypt. J. Agron.

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Egyptian Journal of Agronomy http://agro.journals.ekb.eg/ 14 S ALINITY limits plant growth and progressively decreases the optimal yield of crops worldwide. This work aimed to compare the efficiency of single trait selection and independent culling levels (ICL) for six traits in improving the seed cotton yield (SCY/P) under normal and saline soils. The genetic material was the F 2 -population of the cross-G.90× G.86 (long staple). Two experiments were carried out at normal and saline soils (EC about 13). The performance of different traits under normal soil were better than under salinity stress. The correlations indicated that the high yielding plants were early, high in fiber length, strength, and fineness under both environments. Days to first flower showed negative correlation with all traits except Pressley index under both environments. Genotypic and phenotypic coefficients of variability were greatly depleted by selection. Narrow sense heritability (h 2 ) in single trait selection was higher at stress than at normal soil when selection practiced at normal soil, and vice versa for selection at saline soil. In the ICL method the h 2 was higher at normal soil evaluation than at saline soil for selection at both environments. Single trait selection proved that selection under optimum environment performed well under optimum, and selection under stress was better under stress. Otherwise, ICL method of selection did well under salinity stress. These results agree with the opinion of selection under the environment of production.

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Recurrent Selection for Lint Yield and Its Components of Some Egyptian Cotton Genotypes

Cited by 3 publications

References 0 publications

Efficiency of Selection for Seed Cotton Yield under Newly Reclaimed Lands Conditions

Efficiency of Selection for Seed Cotton Yield under Newly Reclaimed Lands Conditions

Evaluation of Cotton Genotypes Through the Selection Index Technique

Observed Genetic Gain from Selection in Egyptian Cotton (G. barbadense L) Under Normal and Saline Soils Mahdy, E.E. 1*, H. Mahrous 2, M.A. Sayed 1 and M.G. Housein 2 1 Department of Agronomy, Faculty of Agriculture, Assiut University, Assiut, Egypt.

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