INVESTIGATION OF THE VARIABILITY OF QUANTITATIVE TRAITS IN A HYBRID COMBINATION BETWEEN A SEEDED AND SEEDLESS VINE CULTIVAR (Vitis vinifera L.)

Roytchev, V.; Mokreva, Todorka

doi:10.22620/agrisci.2009.01.002

Cited by 3 publications

(3 citation statements)

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“…Kozma (1955) изследва подробно изменчивостта и родовитостта на цветните типове при сорт Кадарка и ги характеризира чрез съотношението между плодника и дължината на тичинковата дръжка (g:a). Малко са резултатите показващи вариабилността на параметрите на цветните органи, при различни сортове лози (Ryabova, 1986;Panarina, 1970Panarina, , 1971Panarina, , 1974Roytchev, 2005;Letchov & Roychev, 2017;Letchov et al, 2021). Биометричната характеристика на цветните органи при повече сортове, извършена чрез математически методи, отразява не само наличието или отсъствието на генетична близост между тях, но и нивото на фенотипна стабилност на тези количествени признаци.…”

Section: въведениеunclassified

Classification of seedless varieties of vines (Vitis vinifera L.) according to the size of organs in the female flower sphere

Roychev,

Keranova

2024

BJCS

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A comparative evaluation and classification of a large group of seedless vine varieties was carried out depending on the diversity of the parameters of the female flower organs. Through the application of cluster analysis, it was found that in their vertical arrangement along the branches at the base of the fringe, they are distributed in four generalized clusters, in the middle - in six and in the top - in nine, each of them being composed of a different number of sub-clusters and varieties. There is no statistically proven influence of the location of the flower buttons in the fringe on the parameters of the female flower sphere. The presented biometric information on the female flower organs increases the possibilities for a more in-depth morphological, cytoembryological and ampelographic analysis and classification of the investigated seedless vine varieties.

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Section: въведениеunclassified

Classification of seedless varieties of vines (Vitis vinifera L.) according to the size of organs in the female flower sphere

Roychev,

Keranova

2024

BJCS

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“…For the objective study of the phenotypic variability, mathematical and statistical methods have long been applied in viticulture and vine selection, which, depending on the environment and purpose, cover and analyse a huge number of varieties and traits (Roychev 2011;Joshi et al 2015;Andras-Sauca et al 2018;Barreales et al 2019;Letchov et al 2021).…”

Section: Phenotypic Proximity and Remoteness Of Seedless Vine Varieti...mentioning

confidence: 99%

“…The combined application allows obtaining more in-depth ampelographic information about the nature and significance of the individual indicators in the grouping of gthe enotypes, and the selection of elite hybrid forms should be carried out based on the traits that explain the largest extent of the general variation (Roytchev 2007). Preliminary information on the phenotypic remoteness or proximity of different vine varieties increases the efficiency in the selection of parental pairs for sexual hybridisation in the creation of new vine varieties.…”

Section: Phenotypic Proximity and Remoteness Of Seedless Vine Varieti...mentioning

confidence: 99%

Phenotypic proximity and remoteness of seedless vine varieties depending on their ampelographic characteristics

Roychev¹,

Keranova²

2023

Hortic. Sci.

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The degree of the phenotypic similarity and differences between 61 seedless vine varieties was studied by grouping them according to economically important phenological, agrobiological and technological indicators. A multidimensional statistical approach is applied -a cluster analysis, which provides possibilities of establishing relatively homogeneous groups (clusters), based on a set of certain indicators. As the cluster analysis does not perform any tests for the statistical significance of the results, it is combined with a factor analysis, which provides information on the reasons leading to the distribution of the individual varieties in different clusters and the merging of others into one cluster. The applied factor analysis transformed all the studied indicators into seven main components, explaining 76% of the total variance. The transformation of these traits to the corresponding number of factors and the indicators in them, which explain that the varieties belong to the separate clusters, was established. The limits of the phenotypic similarity and differences between the studied seedless vine varieties and the conditional parameters of the polymorphism with their economically significant ampelographic characteristics were determined. The presented grouping can be used for taxonomic purposes, as well as in the selection to create new seedless vine varieties. By applying targeted agro-technical measures, the desired change in the indicators of the first and second factors in the individual groups of traits can be actively influenced.

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Morphology and morphometric diversity of pollen grains of 26 Indian species of <i>Dioscorea</i> L. (Dioscoreaceae)

Banerjee,

Hoque,

Siddhanta

et al. 2022

Nelumbo

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Pollen morphology of 26 species of Dioscorea collected from different regions of India was examined critically under LM and SEM to explore their unique features. Pollen grains were monad, isopolar, small to medium-sized (11.3â€“31 Âµm). Peroblate, oblate, suboblate and oblate spheroidal (P/E=0.41â€“0.90) pollen shape, mono and bi-sulcate aperture type and psilate, reticulate, rugulose, strito-reticulate, reticulate-rugulose, punctate and striate exine ornamentation were believed to be some of the important characters for differentiation of closely related species in this studied genus. The comprehensive qualitative and quantitative characters of the pollen grains served as reliable features in taxonomical studies. The observed data were analyzed using PCA and hierarchical clustering to obtain a steady relationship and grouping of the observed species. Histograms, pie chart and bar graph were performed to enumerate the distribution of the quantitative data of various attributes (long axis, short equatorial axis, pollen shape and aperture length). Correlation scatter plot along with density graph helped to understand the interrelationship amongst the studied taxa.

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INVESTIGATION OF THE VARIABILITY OF QUANTITATIVE TRAITS IN A HYBRID COMBINATION BETWEEN A SEEDED AND SEEDLESS VINE CULTIVAR (Vitis vinifera L.)

Cited by 3 publications

References 0 publications

Classification of seedless varieties of vines (Vitis vinifera L.) according to the size of organs in the female flower sphere

Classification of seedless varieties of vines (Vitis vinifera L.) according to the size of organs in the female flower sphere

Phenotypic proximity and remoteness of seedless vine varieties depending on their ampelographic characteristics

Morphology and morphometric diversity of pollen grains of 26 Indian species of <i>Dioscorea</i> L. (Dioscoreaceae)

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