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Additive Gene Effects

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K. S. Brar – One of the best experts on this subject based on the ideXlab platform.

  • Generation mean analysis for some economic characters in upland cotton.
    Crop improvement, 2010
    Co-Authors: Paramjit Singh, V. P. Mittal, R. S. Sohu, K. S. Brar
    Abstract:

    Genetic analysis of quantitative traits helps to elucidate the nature and magnitude of Genetic variation present in the population. Generation mean analysis carried out to estimate the nature and magnitude of Gene Effects for yield and fibre quality traits in two crosses of upland cotton revealed the presence of epistasis for 2.5% span length in first cross while for boll weight, ginning out turn and 2.5% span length in second cross. This demonstrated that importance of epistasis in the inheritance of different traits cannot be ignored. The Additive Gene Effects observed for seed cotton yield, bolls per plant and ginning out turn in cross-1 and for seed cotton yield in cross-2 may be fixed in pure lines. Additive as well as non Additive Gene Effects operative in the inheritance of remaining traits suggested that for improving these traits, selection in the segregating Generations should be delayed to later Generations or sophisticated selection procedures as recurrent selection or population improvement may be followed.

  • Genetic analysis of yield components and fibre quality characters in upland cotton (Gossypium hirsutum L.)
    Indian Journal of Genetics and Plant Breeding, 2008
    Co-Authors: Paramjit Singh, G. S. Chahal, V. P. Mittal, K. S. Brar
    Abstract:

    Generation mean analysis was carried out to estimate the nature and magnitude of Gene Effects for yield components and fibre quality traits in four crosses of upland cotton (Gossypium hirsutum L). The presence of epistasis was reflected by scaling tests and inadequacy of simple Additive-dominance model for most of the characters studied.The results obtained revealed that the nature and magnitude of Gene Effects differed in different crosses and showed importance of Additive as well as non Additive Gene Effects in the inheritance of different characters. In view of the parallel role of Additive and non Additive Gene Effects in the inheritance of different characters, selection in the segregating Generations should be delayed when dominance Gene Effects would have diminished or sophisticated selection procedures as recurrent selection and population improvement programmes may be followed. However, Additive Gene Effects may be fixed in the pure lines with respect to some specific traits such as boll weight in cross 1 and 4 while for 2.5% span length in cross 2.

  • Combining Ability Studies for Seed Yield, Its Component Characters and Oil Content in Toria
    Crop improvement, 2006
    Co-Authors: K. S. Brar, V. P. Mittal, Yadav, Paramjit Singh
    Abstract:

    The nature and magnitude of combining ability Effects were studied for seed yield, its components and oil content in toria (Brassica campestris spp oleifera). Analysis of variance for combining ability revealed that mean squares due to gca and sca were significant for all the characters. This indicates that both Additive and non Additive Gene Effects were important in the expression of these characters. The mean degree of dominance (?2sca/?2gca) was quite high for seed yield per plant, plant height, number of siliquae on main shoot and primary branches, indicating the involvement of non-Additive Gene Effects in controlling the inheritance of these traits. PBT 37 was good combiner for seed yield per plant, number of siliquae on main shoot and primary branches per plant while, HOCT-1 exhibited highly significant gca Effects for Per cent Disease Index (PDI) of Alternaria blight, 1000 seed weight and oil content. The crosses HOCT-1 x PBT 226 and PBT 97 x PBT 37 showed maximum significant sca effect for seed yield, plant height and seed boldness. As both Additive and non-Additive Gene Effects are present, breeding strategies that exploit both types of Gene actions such as biparental mating approach and reciprocal selections should be followed for the Genetic improvement of seed yield and other traits and this will also give further opportunity for substantial release of locked up Genetic variability.

Paramjit Singh – One of the best experts on this subject based on the ideXlab platform.

  • Generation mean analysis for some economic characters in upland cotton.
    Crop improvement, 2010
    Co-Authors: Paramjit Singh, V. P. Mittal, R. S. Sohu, K. S. Brar
    Abstract:

    Genetic analysis of quantitative traits helps to elucidate the nature and magnitude of Genetic variation present in the population. Generation mean analysis carried out to estimate the nature and magnitude of Gene Effects for yield and fibre quality traits in two crosses of upland cotton revealed the presence of epistasis for 2.5% span length in first cross while for boll weight, ginning out turn and 2.5% span length in second cross. This demonstrated that importance of epistasis in the inheritance of different traits cannot be ignored. The Additive Gene Effects observed for seed cotton yield, bolls per plant and ginning out turn in cross-1 and for seed cotton yield in cross-2 may be fixed in pure lines. Additive as well as non Additive Gene Effects operative in the inheritance of remaining traits suggested that for improving these traits, selection in the segregating Generations should be delayed to later Generations or sophisticated selection procedures as recurrent selection or population improvement may be followed.

  • Genetic analysis of yield components and fibre quality characters in upland cotton (Gossypium hirsutum L.)
    Indian Journal of Genetics and Plant Breeding, 2008
    Co-Authors: Paramjit Singh, G. S. Chahal, V. P. Mittal, K. S. Brar
    Abstract:

    Generation mean analysis was carried out to estimate the nature and magnitude of Gene Effects for yield components and fibre quality traits in four crosses of upland cotton (Gossypium hirsutum L). The presence of epistasis was reflected by scaling tests and inadequacy of simple Additive-dominance model for most of the characters studied.The results obtained revealed that the nature and magnitude of Gene Effects differed in different crosses and showed importance of Additive as well as non Additive Gene Effects in the inheritance of different characters. In view of the parallel role of Additive and non Additive Gene Effects in the inheritance of different characters, selection in the segregating Generations should be delayed when dominance Gene Effects would have diminished or sophisticated selection procedures as recurrent selection and population improvement programmes may be followed. However, Additive Gene Effects may be fixed in the pure lines with respect to some specific traits such as boll weight in cross 1 and 4 while for 2.5% span length in cross 2.

  • Combining Ability Studies for Seed Yield, Its Component Characters and Oil Content in Toria
    Crop improvement, 2006
    Co-Authors: K. S. Brar, V. P. Mittal, Yadav, Paramjit Singh
    Abstract:

    The nature and magnitude of combining ability Effects were studied for seed yield, its components and oil content in toria (Brassica campestris spp oleifera). Analysis of variance for combining ability revealed that mean squares due to gca and sca were significant for all the characters. This indicates that both Additive and non Additive Gene Effects were important in the expression of these characters. The mean degree of dominance (?2sca/?2gca) was quite high for seed yield per plant, plant height, number of siliquae on main shoot and primary branches, indicating the involvement of non-Additive Gene Effects in controlling the inheritance of these traits. PBT 37 was good combiner for seed yield per plant, number of siliquae on main shoot and primary branches per plant while, HOCT-1 exhibited highly significant gca Effects for Per cent Disease Index (PDI) of Alternaria blight, 1000 seed weight and oil content. The crosses HOCT-1 x PBT 226 and PBT 97 x PBT 37 showed maximum significant sca effect for seed yield, plant height and seed boldness. As both Additive and non-Additive Gene Effects are present, breeding strategies that exploit both types of Gene actions such as biparental mating approach and reciprocal selections should be followed for the Genetic improvement of seed yield and other traits and this will also give further opportunity for substantial release of locked up Genetic variability.

V. P. Mittal – One of the best experts on this subject based on the ideXlab platform.

  • Generation mean analysis for some economic characters in upland cotton.
    Crop improvement, 2010
    Co-Authors: Paramjit Singh, V. P. Mittal, R. S. Sohu, K. S. Brar
    Abstract:

    Genetic analysis of quantitative traits helps to elucidate the nature and magnitude of Genetic variation present in the population. Generation mean analysis carried out to estimate the nature and magnitude of Gene Effects for yield and fibre quality traits in two crosses of upland cotton revealed the presence of epistasis for 2.5% span length in first cross while for boll weight, ginning out turn and 2.5% span length in second cross. This demonstrated that importance of epistasis in the inheritance of different traits cannot be ignored. The Additive Gene Effects observed for seed cotton yield, bolls per plant and ginning out turn in cross-1 and for seed cotton yield in cross-2 may be fixed in pure lines. Additive as well as non Additive Gene Effects operative in the inheritance of remaining traits suggested that for improving these traits, selection in the segregating Generations should be delayed to later Generations or sophisticated selection procedures as recurrent selection or population improvement may be followed.

  • Genetic analysis of yield components and fibre quality characters in upland cotton (Gossypium hirsutum L.)
    Indian Journal of Genetics and Plant Breeding, 2008
    Co-Authors: Paramjit Singh, G. S. Chahal, V. P. Mittal, K. S. Brar
    Abstract:

    Generation mean analysis was carried out to estimate the nature and magnitude of Gene Effects for yield components and fibre quality traits in four crosses of upland cotton (Gossypium hirsutum L). The presence of epistasis was reflected by scaling tests and inadequacy of simple Additive-dominance model for most of the characters studied.The results obtained revealed that the nature and magnitude of Gene Effects differed in different crosses and showed importance of Additive as well as non Additive Gene Effects in the inheritance of different characters. In view of the parallel role of Additive and non Additive Gene Effects in the inheritance of different characters, selection in the segregating Generations should be delayed when dominance Gene Effects would have diminished or sophisticated selection procedures as recurrent selection and population improvement programmes may be followed. However, Additive Gene Effects may be fixed in the pure lines with respect to some specific traits such as boll weight in cross 1 and 4 while for 2.5% span length in cross 2.

  • Combining Ability Studies for Seed Yield, Its Component Characters and Oil Content in Toria
    Crop improvement, 2006
    Co-Authors: K. S. Brar, V. P. Mittal, Yadav, Paramjit Singh
    Abstract:

    The nature and magnitude of combining ability Effects were studied for seed yield, its components and oil content in toria (Brassica campestris spp oleifera). Analysis of variance for combining ability revealed that mean squares due to gca and sca were significant for all the characters. This indicates that both Additive and non Additive Gene Effects were important in the expression of these characters. The mean degree of dominance (?2sca/?2gca) was quite high for seed yield per plant, plant height, number of siliquae on main shoot and primary branches, indicating the involvement of non-Additive Gene Effects in controlling the inheritance of these traits. PBT 37 was good combiner for seed yield per plant, number of siliquae on main shoot and primary branches per plant while, HOCT-1 exhibited highly significant gca Effects for Per cent Disease Index (PDI) of Alternaria blight, 1000 seed weight and oil content. The crosses HOCT-1 x PBT 226 and PBT 97 x PBT 37 showed maximum significant sca effect for seed yield, plant height and seed boldness. As both Additive and non-Additive Gene Effects are present, breeding strategies that exploit both types of Gene actions such as biparental mating approach and reciprocal selections should be followed for the Genetic improvement of seed yield and other traits and this will also give further opportunity for substantial release of locked up Genetic variability.

M S Dhaliwal – One of the best experts on this subject based on the ideXlab platform.

  • Genetic control of leaf curl virus disease, horticultural and biochemical traits in chilli (Capsicum annuum L.)
    International Journal of Chemical Studies, 2019
    Co-Authors: Hament Thakur, Salesh Kumar Jindal, Abhishek Sharma, M S Dhaliwal
    Abstract:

    Two genotypes MS-341 (susceptible) and S-343 (resistant) were used to develop six Generations (P1, P2, F1, F2, BC1P1 and BC1P2). These were screened for leaf curl virus disease (LCVD) and phenotype at fruiting stage. The data was recorded for percent disease index (PDI) of LCVD, horticultural and biochemical traits of chilli. The Genetic analysis revealed that most of the studied traits revealed higher magnitude of dominance Effects which were also confirmed by the average degree of dominance which was more than unity. The traits like PDI, plant height, plant spread, yield per plant, fruit number, fruit length, fruit diameter, coloring matter in powder and oleoresin content showed duplicate type of epistasis. There was a preponderance of dominance × dominance (l) interactions for most of the traits. Therefore, an importance of both Additive and non-Additive Gene Effects was realized with the preponderance of non-Additive Gene Effects, hence population improvement approaches such as recurrent selection and bi-parental mating would be suggested.

  • Assessment of Genetic Potential for Economically Important Characters in Tomato: P 4-5-2 X Nemadoro
    Journal of research, 2001
    Co-Authors: M S Dhaliwal, Anupam Gupta, Surjan Singh, D. S. Cheema
    Abstract:

    The experimental material comprising six Generations viz. P1 (P 4-5-2), P2 (Nemadoro), their F1, F2, BC1 and BC2 were used to study Gene Effects in tomato for seven economic characters. Additive-dominance model was adequate to explain total Genetic variability for pH, number of locules and pericarp thickenss. For TSS, fruit shape index, fruit weight and total yield, degenic interaction model was adequate thus revealing the absence of higher order Gene interactions. Based upon the best fit model, it is concluded that Additive Gene Effects ([d] and [i]) were more important for TSS, number of locules and pericarp thickness. Non-Additive Gene Effects ([h] and [i]) were more important for fruit shape index and fruit weight where as both Additive and non-Additive Gene Effects were important for total yield.

Pangirayi Tongoona – One of the best experts on this subject based on the ideXlab platform.

  • Generation mean analysis of pearl millet [Pennisetum glaucum (L.) R. Br.] grain iron and zinc contents and agronomic traits in West Africa
    Journal of Cereal Science, 2020
    Co-Authors: Bassirou Sani Boubacar Gaoh, P. I. Gangashetty, Riyazaddin Mohammed, Daniel Dzidzienyo, Pangirayi Tongoona
    Abstract:

    Abstract Pearl millet is the most important staple food crop for millions of people across the world. Micronutrient malnutrition is the major problem for people living in the semi-arid regions of Africa. Identification of Gene Effects controlling the inheritance of grain Fe and Zn will be helpful in formulating suitable breeding strategies for biofortified pearl millet development. Hence, Generation mean analysis was used to study epistasis and estimate Gene Effects for grain iron and zinc contents along with the agronomic and morphological traits. Six Generations P1, P2, F1, F2, BC1P1 and BC1P2 were Generated and were evaluated during the 2018–19 off season. Analysis of variance showed significant variability for all the traits in both Generations. Six parameter model revealed predominance of Additive Gene Effects for inheritance of grain iron concentration, and Additive × Additive type of non-allelic interactions. For grain zinc concentration Additive Gene Effects were preponderant compared to non-Additive Gene Effects, and only Additive × dominance Gene Effects were significant among the three types of epistasis. Grain weight per plant was predominantly under non-Additive Gene Effects and Additive × Additive and Additive × dominance Gene Effects type of epistasis was detected in each cross. Likewise, for flowering non-Additive Gene Effects were most important with the presence of dominance × dominance type of epistasis. For plant height, panicle circumference and length, Additive × Additive Genes Effects were the most important among the three type of non-allelic Gene action.These findings can be helpful in enehancing the pearl millet breeding programs in Africa.

  • Genetic analysis of resistance to spot blotch disease in wheat (Triticum aestivum L.) in Zambia
    Journal of Crop Improvement, 2017
    Co-Authors: Batiseba Tembo, Pangirayi Tongoona, Julia Sibiya, Rob Melis
    Abstract:

    ABSTRACTUnderstanding the Genetics of resistance to spot blotch disease, caused by Bipolaris sorokiniana (Sacc.) Shoem, is important to design an appropriate breeding strategy to improve the trait. The objective of this study was to determine the Gene action and mode of inheritance of resistance to spot blotch in wheat. Eight genotypes with varying resistance to the disease were crossed in a full diallel mating design. Parents and their progenies were evaluated for spot blotch resistance. Data were analyzed using Hayman’s diallel analysis. The results suggested the importance of Additive Gene Effects in controlling the resistance to spot blotch in the materials under study. No epistasis, maternal, or reciprocal Effects were detected. Resistance to spot blotch exhibited partial dominance. Therefore, exercising selection for resistance in the early segregating Generation should be an effective approach because of the predominance of Additive Gene Effects. The Wr/Vr graph showed that the parents 30SAWSN5 (P3…