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Study of red clover wild populations from the territory of Serbia for the purpose of pre-selection

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2014
3463.pdf (156.8Kb)
Authors
Petrović, Mirjana
Dajić-Stevanović, Zora
Sokolović, Dejan
Radović, Jasmina
Milenković, Jasmina
Marković, Jordan
Article (Published version)
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Abstract
The aim of this paper was to evaluate the agronomic value of red clover (Trifolium pratense L.) wild populations. The analyzed material was gathered on the territory of Serbia and it was estimated which populations could be involved in the breeding program. 17 red clover populations were included in the research. Investigation was carried out at the experimental field of the Institute for forage crops, Krusevac, Serbia. The field trial was performed during three years (2008 - 2010) when data about morphological (green mass, dry mater, plant height, number of stems, number of lateral branches, number of internodes, length and width of a middle leaf lamina) and basic chemical parameters (quantity of crude proteins, crude fiber, ash, fat, NFE) were collected. In this paper, results of the research were processed by application of analysis of variance (ANOVA) and multivariation methods. Cluster analysis based on morphological traits resulted in formation of three clusters and the traits wi...th the largest influence on grouping were: green mass, plant height, length and width of a leaf. Principal component method confirmed this separation and resulted in even more clear grouping of populations. Cluster analysis and PCA method were also applied to the traits of dry matter quality, when four clusters were formed, and the traits with the largest influence on grouping were percentages of protein, fat and fiber. Using both set of traits and several types of analyses contribute to grouping of populations which promise most and whose positive traits such as: high green mass yield, number of stems as well as the percentage of proteins can be combined for the purpose of getting synthetic varieties.

Keywords:
red clover / wild populations / morphological traits / quality of forage / cluster analysis
Source:
Genetika, 2014, 46, 2, 471-484
Publisher:
  • Društvo genetičara Srbije, Beograd
Funding / projects:
  • Improvement of genetic potential and technologies in forage crops production in function of sustainable animal husbandry development (RS-31057)

DOI: 10.2298/GENSR1402471P

ISSN: 0534-0012

WoS: 000342659500013

Scopus: 2-s2.0-84968830223
[ Google Scholar ]
4
2
URI
http://aspace.agrif.bg.ac.rs/handle/123456789/3466
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Poljoprivredni fakultet
TY  - JOUR
AU  - Petrović, Mirjana
AU  - Dajić-Stevanović, Zora
AU  - Sokolović, Dejan
AU  - Radović, Jasmina
AU  - Milenković, Jasmina
AU  - Marković, Jordan
PY  - 2014
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3466
AB  - The aim of this paper was to evaluate the agronomic value of red clover (Trifolium pratense L.) wild populations. The analyzed material was gathered on the territory of Serbia and it was estimated which populations could be involved in the breeding program. 17 red clover populations were included in the research. Investigation was carried out at the experimental field of the Institute for forage crops, Krusevac, Serbia. The field trial was performed during three years (2008 - 2010) when data about morphological (green mass, dry mater, plant height, number of stems, number of lateral branches, number of internodes, length and width of a middle leaf lamina) and basic chemical parameters (quantity of crude proteins, crude fiber, ash, fat, NFE) were collected. In this paper, results of the research were processed by application of analysis of variance (ANOVA) and multivariation methods. Cluster analysis based on morphological traits resulted in formation of three clusters and the traits with the largest influence on grouping were: green mass, plant height, length and width of a leaf. Principal component method confirmed this separation and resulted in even more clear grouping of populations. Cluster analysis and PCA method were also applied to the traits of dry matter quality, when four clusters were formed, and the traits with the largest influence on grouping were percentages of protein, fat and fiber. Using both set of traits and several types of analyses contribute to grouping of populations which promise most and whose positive traits such as: high green mass yield, number of stems as well as the percentage of proteins can be combined for the purpose of getting synthetic varieties.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika
T1  - Study of red clover wild populations from the territory of Serbia for the purpose of pre-selection
EP  - 484
IS  - 2
SP  - 471
VL  - 46
DO  - 10.2298/GENSR1402471P
ER  - 
@article{
author = "Petrović, Mirjana and Dajić-Stevanović, Zora and Sokolović, Dejan and Radović, Jasmina and Milenković, Jasmina and Marković, Jordan",
year = "2014",
abstract = "The aim of this paper was to evaluate the agronomic value of red clover (Trifolium pratense L.) wild populations. The analyzed material was gathered on the territory of Serbia and it was estimated which populations could be involved in the breeding program. 17 red clover populations were included in the research. Investigation was carried out at the experimental field of the Institute for forage crops, Krusevac, Serbia. The field trial was performed during three years (2008 - 2010) when data about morphological (green mass, dry mater, plant height, number of stems, number of lateral branches, number of internodes, length and width of a middle leaf lamina) and basic chemical parameters (quantity of crude proteins, crude fiber, ash, fat, NFE) were collected. In this paper, results of the research were processed by application of analysis of variance (ANOVA) and multivariation methods. Cluster analysis based on morphological traits resulted in formation of three clusters and the traits with the largest influence on grouping were: green mass, plant height, length and width of a leaf. Principal component method confirmed this separation and resulted in even more clear grouping of populations. Cluster analysis and PCA method were also applied to the traits of dry matter quality, when four clusters were formed, and the traits with the largest influence on grouping were percentages of protein, fat and fiber. Using both set of traits and several types of analyses contribute to grouping of populations which promise most and whose positive traits such as: high green mass yield, number of stems as well as the percentage of proteins can be combined for the purpose of getting synthetic varieties.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika",
title = "Study of red clover wild populations from the territory of Serbia for the purpose of pre-selection",
pages = "484-471",
number = "2",
volume = "46",
doi = "10.2298/GENSR1402471P"
}
Petrović, M., Dajić-Stevanović, Z., Sokolović, D., Radović, J., Milenković, J.,& Marković, J.. (2014). Study of red clover wild populations from the territory of Serbia for the purpose of pre-selection. in Genetika
Društvo genetičara Srbije, Beograd., 46(2), 471-484.
https://doi.org/10.2298/GENSR1402471P
Petrović M, Dajić-Stevanović Z, Sokolović D, Radović J, Milenković J, Marković J. Study of red clover wild populations from the territory of Serbia for the purpose of pre-selection. in Genetika. 2014;46(2):471-484.
doi:10.2298/GENSR1402471P .
Petrović, Mirjana, Dajić-Stevanović, Zora, Sokolović, Dejan, Radović, Jasmina, Milenković, Jasmina, Marković, Jordan, "Study of red clover wild populations from the territory of Serbia for the purpose of pre-selection" in Genetika, 46, no. 2 (2014):471-484,
https://doi.org/10.2298/GENSR1402471P . .

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