Utilization of Line X Tester Model for Evaluating the Combining Ability of Some New White Maize Inbred Lines

El-Hosary, A. A.; El-Gammaal, A. A.

doi:10.12816/0003979

Cited by 8 publications

(10 citation statements)

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“…Notably, LWR%, GYP -1 , and GY ard fed -1 showed significant T x Loc interaction. Similar findings were reported by various researchers, including Rajesh et al (2018), Ambikabathy et al (2019), Gamea (2019) et al, Abu Shosha et al (2020, Alsebaey et al (2020), and Mousa et al (2023).…”

Section: Analysis Of Variancesupporting

confidence: 89%

“…Table 1 presents the results of ANOVA analysis conducted across two locations for all studied traits. The analysis revealed: Differences between the two locations were observed for all traits except (PH) and (EH), aligning with previous findings by Gamea (2019), Abu shosha et al, (2020), Abdel Azeem et al, (2022, Aly et al, (2022) and Mousa et al, (2023). Both Mean squares due to genotypes (G) and their interaction with location (G x Loc) were significant and highly significant for all traits except G x Loc for (DS).…”

Section: Analysis Of Variancesupporting

confidence: 88%

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Estimation of Genetic Parameters, Combining Ability and Heterotic Groups of New Yellow Maize Inbred Lines Using Line X Tester Model Across Two Locations

Hamada,

Aly,

Zaater

2024

Journal of Agricultural Chemistry and Biotechnology

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The Line x Tester model stands as most potent method to estimate (GCA) and (SCA) effects, thereby aiding to select desirable parents and/or crosses. During the 2022 growing season, eleven inbred lines were crossed with three testers. The thirty-three crosses in addition to SC 168 as check hybrid were evaluated (in the 2023 growing season) at Two locations: Private Farms at Damietta and Dakahlia Governorates. Results showed that, the mean squares of genotypes and their partitioning were significant or highly significant for studied traits combined across two locations. Notably, lines L4, L6, and L9 exhibited significantly negative GCA effects, indicating desirable characteristics such as earliness, shorter plant height, and lower ear placement. Conversely, lines L2, L8, L10, and L11 demonstrated positive and significant GCA effects, contributing to increased grain yield. Five crosses showed positive and significant SCA effects for GYP-1 and GY ard fed -1 ; L3 x T2, L4 x T2, L6 x T1, L11 x T1 and L11 x T2. Heterotic groups using, Heterospecific Grouping Specific and Combining Ability (HSGCA) for grain yield divided the inbred lines into 3 groups according to the 3 testers. On the other side this method cannot categorize the four lines.; L1, L2, L8 and L10. These groups could be used in breeding programs to give breeders a chance to select the best parents to produce the new promising crosses that had high yielding potential.

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Section: Analysis Of Variancesupporting

confidence: 89%

Section: Analysis Of Variancesupporting

confidence: 88%

Estimation of Genetic Parameters, Combining Ability and Heterotic Groups of New Yellow Maize Inbred Lines Using Line X Tester Model Across Two Locations

Hamada,

Aly,

Zaater

2024

Journal of Agricultural Chemistry and Biotechnology

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“…Four crosses; L 8 × T 2 , L 10 × T 2 , L 7 × T 2 and L 15 × T 2 were significantly shorter than the shortest check hybrid SC-168. In this respect, EL-Hosary and El-Gammal [13] and Kamara et al [16] reported that the shortest plants in maize reduce lodging ratio and so increased yield potential. For EHT, the lowest ear height was desirable trait for loading resistance.…”

Section: Discussionmentioning

confidence: 99%

Combining abilities and genetic parameters for grain yield and some agronomic traits in maize (Zea mays L.)

Habiba

El-Diasty

Aly

2022

Beni-Suef Univ J Basic Appl Sci

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Background The improvement of maize hybrids relies on significant genetic variability among the inbred lines used and the degree to which it is transferred to progeny. Understanding the genetic parameters and heritability of traits in every population is an essential precondition for selection program. This study was designed to estimate the magnitude of genetic parameters and heritability of traits in line × tester mating design. Fifteen yellow maize inbred lines derived from different sources were crossed with two lines as tester i.e., Gm-1001 and Gm-1002 in 2019 summer season. During 2020 season, the resulted 30 crosses along with check hybrid SC-168 were evaluated in a yield trial at two locations: Gemmeiza and Sids Agric. Res. Station. Results The mean squares among two locations were highly significant for all studied traits except KR−1. The L1 and L3 had the best general combiners for GY ard fed−1. In addition, the T1 as a tester was a GCA effects good combiner for earliness, shorter plants and lower ear placement traits. While T2 was good combiner for grain yield and some of attributes. Crosses L5 × T1 and L7 × T2 had positive and significant SCA effects for grain yield. The GCA variances were higher than SCA variances for all studied traits except for ED trait, indicating that additive genetic variance played the major role than non-additive genetic variance in the inheritance of these traits. Generally, phenotypic coefficient of variability was higher than genotypic coefficient of variability for all studied traits, suggesting that there was an influence by environments in the expression of these traits. Recorded heritability percentage in broad sense ranged from low for (ear position%, no. of ears/100 plants, ear diameter and grain yield) traits, medium for (days to 50% silking, plant height, ear height and no. of kernels/row) traits to moderate high for ear length trait. Conclusion Our investigation concluded that most of the studied lines exhibited highly general combiners and the superior crosses were as a result of a good × good combiner for most of yield components traits.

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“…SCA expresses the difference between the predicted overall combining ability and the actual value of a particular cross-combination. It therefore refers to single cross-combinations whose SCA values may be lower or higher than the overall combining value, and is part of the nonadditive potency of genes [ 34 , 35 , 36 ]. The components of nonadditive variance (SCA), dominance, and interaction (epistasis) are highly unstable.…”

Section: Discussionmentioning

confidence: 99%

Dependence of the heterosis effect on genetic distance, determined using various molecular markers

et al. 2020

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AbstractA number of studies have shown that the greater the genetic diversity of parental lines, the greater the heterosis effect. Genetic or phenotypic variation can be estimated by genotype testing on the basis of the observations obtained through prediction (a priori) or the observations and studies (a posteriori). The first method uses data such as the genealogy of a given subject and the information about its geographical origin. The second method is based on the phenotypic observation and studies, as well as on the molecular research. The development of molecular genetics and genotype testing methods at the DNA level has made it possible to rapidly assess the genetic variability regardless of the modifying effect of the environment. The aim of this study was to determine the relationship between the degree of relatedness and the DNA polymorphism (determined using AFLP, RAPD, and SSR markers) of inbred maize lines and the effect of hybrid-form heterosis. Our analysis demonstrated that the parental components for heterosis crosses can be selected on the basis of the genetic similarity determined using the molecular SSR markers and the Jaccard, Kluczyński, Nei, and Rogers coefficients. Molecular AFLP markers proved less useful for selecting the parental components, but may be used to group lines with incomplete origin data. In the case of the RAPD markers, no clear relationship between genetic distance and the heterosis effect was found in this study.

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Utilization of Line X Tester Model for Evaluating the Combining Ability of Some New White Maize Inbred Lines

Cited by 8 publications

References 0 publications

Estimation of Genetic Parameters, Combining Ability and Heterotic Groups of New Yellow Maize Inbred Lines Using Line X Tester Model Across Two Locations

Estimation of Genetic Parameters, Combining Ability and Heterotic Groups of New Yellow Maize Inbred Lines Using Line X Tester Model Across Two Locations

Combining abilities and genetic parameters for grain yield and some agronomic traits in maize (Zea mays L.)

Dependence of the heterosis effect on genetic distance, determined using various molecular markers

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