Modern breeding of small grains for present and future needs

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Modern breeding of small grains for present and future needs (en)
Савремено оплемењивање стрних жита за садашње и будуће потребе (sr)
Savremeno oplemenjivanje strnih žita za sadašnje i buduće potrebe (sr_RS)
Authors

Publications

Use of plant genetic resources in crop improvement–example of Serbia

Anđelković, Violeta; Cvejić, Sandra; Jocić, Siniša; Kondić-Špika, Ankica; Marjanović Jeromela, Ana; Mikić, Sanja; Prodanović, Slaven; Radanović, Aleksandra; Savić-Ivanov, Milena; Trkulja, Dragana; Miladinović, Dragana

(Springer Science+Business Media B.V., 2020)

TY  - JOUR
AU  - Anđelković, Violeta
AU  - Cvejić, Sandra
AU  - Jocić, Siniša
AU  - Kondić-Špika, Ankica
AU  - Marjanović Jeromela, Ana
AU  - Mikić, Sanja
AU  - Prodanović, Slaven
AU  - Radanović, Aleksandra
AU  - Savić-Ivanov, Milena
AU  - Trkulja, Dragana
AU  - Miladinović, Dragana
PY  - 2020
UR  - http://rik.mrizp.rs/handle/123456789/815
AB  - Plant genetic resources are a link between agriculture, environment and trade, so their conservation requires cooperation from different sectors. The existing diversity in genetic resources is the foundation in breeding for new challenges or new markets in the future. The number of crop genetic resources in Serbia is obscure because there is no national inventory. It is thought that there are about 15,000 seed accessions and 3500 accessions of fruit trees and grape in collections of different national institutes and stakeholders. In the National Plant Gene Bank, there are more than 4000 accessions of nearly 250 plant species. Crops kept in ex situ collections are used in breeding programs and interspecific crosses, for selection and introduction of desired traits through pre-breeding programs. Serbia as a state participates in all national and international efforts for preservation, management and use of plant genetic resources. Additionally, Serbia has also established a set of national regulations related to plant genetic resources and their use in breeding. Since Serbia is one of Europe’s most important crop producers, especially in maize (11% of EU-27 production), soya (35%), sunflowers (6%) and sugar beet (2.5%), this paper discusses certain issues and achievements in the use of plant genetic resources in cereal and oil crops improvement in Serbia, as well as national and international regulations affecting their exploitation.
PB  - Springer Science+Business Media B.V.
T2  - Genetic Resources and Crop Evolution
T1  - Use of plant genetic resources in crop improvement–example of Serbia
DO  - 10.1007/s10722-020-01029-9
ER  - 
@article{
author = "Anđelković, Violeta and Cvejić, Sandra and Jocić, Siniša and Kondić-Špika, Ankica and Marjanović Jeromela, Ana and Mikić, Sanja and Prodanović, Slaven and Radanović, Aleksandra and Savić-Ivanov, Milena and Trkulja, Dragana and Miladinović, Dragana",
year = "2020",
abstract = "Plant genetic resources are a link between agriculture, environment and trade, so their conservation requires cooperation from different sectors. The existing diversity in genetic resources is the foundation in breeding for new challenges or new markets in the future. The number of crop genetic resources in Serbia is obscure because there is no national inventory. It is thought that there are about 15,000 seed accessions and 3500 accessions of fruit trees and grape in collections of different national institutes and stakeholders. In the National Plant Gene Bank, there are more than 4000 accessions of nearly 250 plant species. Crops kept in ex situ collections are used in breeding programs and interspecific crosses, for selection and introduction of desired traits through pre-breeding programs. Serbia as a state participates in all national and international efforts for preservation, management and use of plant genetic resources. Additionally, Serbia has also established a set of national regulations related to plant genetic resources and their use in breeding. Since Serbia is one of Europe’s most important crop producers, especially in maize (11% of EU-27 production), soya (35%), sunflowers (6%) and sugar beet (2.5%), this paper discusses certain issues and achievements in the use of plant genetic resources in cereal and oil crops improvement in Serbia, as well as national and international regulations affecting their exploitation.",
publisher = "Springer Science+Business Media B.V.",
journal = "Genetic Resources and Crop Evolution",
title = "Use of plant genetic resources in crop improvement–example of Serbia",
doi = "10.1007/s10722-020-01029-9"
}
Anđelković, V., Cvejić, S., Jocić, S., Kondić-Špika, A., Marjanović Jeromela, A., Mikić, S., Prodanović, S., Radanović, A., Savić-Ivanov, M., Trkulja, D.,& Miladinović, D.. (2020). Use of plant genetic resources in crop improvement–example of Serbia. in Genetic Resources and Crop Evolution
Springer Science+Business Media B.V...
https://doi.org/10.1007/s10722-020-01029-9
Anđelković V, Cvejić S, Jocić S, Kondić-Špika A, Marjanović Jeromela A, Mikić S, Prodanović S, Radanović A, Savić-Ivanov M, Trkulja D, Miladinović D. Use of plant genetic resources in crop improvement–example of Serbia. in Genetic Resources and Crop Evolution. 2020;.
doi:10.1007/s10722-020-01029-9 .
Anđelković, Violeta, Cvejić, Sandra, Jocić, Siniša, Kondić-Špika, Ankica, Marjanović Jeromela, Ana, Mikić, Sanja, Prodanović, Slaven, Radanović, Aleksandra, Savić-Ivanov, Milena, Trkulja, Dragana, Miladinović, Dragana, "Use of plant genetic resources in crop improvement–example of Serbia" in Genetic Resources and Crop Evolution (2020),
https://doi.org/10.1007/s10722-020-01029-9 . .
13

Variation of grain weight per spike of wheat depending on variety and seed size

Protić, Rade; Todorović, Goran; Kostić, Miodrag; Protić, Nada; Delić, Dušica; Filipović, Milomir; Filipović, Vladimir; Ugrenović, Vladan

(Natl Agricultural Research & Development Inst, Fundulea, 2013)

TY  - JOUR
AU  - Protić, Rade
AU  - Todorović, Goran
AU  - Kostić, Miodrag
AU  - Protić, Nada
AU  - Delić, Dušica
AU  - Filipović, Milomir
AU  - Filipović, Vladimir
AU  - Ugrenović, Vladan
PY  - 2013
UR  - http://rik.mrizp.rs/handle/123456789/489
AB  - The aim of research was to establish the influence of seed size on grain weight per spike of three wheat varieties. A trial was set up using split-plot method in four replications in Pancevo in the period 2004-2006. The seed was divided according to the size in four fractions: 1.8, 2.0, 2.2, 2.5 and 2.8 mm. A significant interaction was determined between the tested varieties and the years of testing, whilst a highly significant interaction was determined between the years of testing and the seed size, the varieties and the seed size, between the tested varieties, the years of testing and the tested seed size. The highest grain weight per spike was determined in PKB-Christina variety (2.29 g), and Pobeda variety (2.25 g), whilst Vizija variety had the lowest grain weight per spike (2.11 g). The difference was highly significant. The analysis of variance determined a highly significant difference between the years when the experiment was conducted, which is often seen in this region. Highly significant differences in the grain weight per spike were determined at different seed sizes. Larger seeds produced higher grain weight per spikes, highest weight being obtained with largest seeds (>= 2.8 mm).
PB  - Natl Agricultural Research & Development Inst, Fundulea
T2  - Romanian Agricultural Research
T1  - Variation of grain weight per spike of wheat depending on variety and seed size
VL  - 30
SP  - 51
EP  - 55
UR  - https://hdl.handle.net/21.15107/rcub_rik_489
ER  - 
@article{
author = "Protić, Rade and Todorović, Goran and Kostić, Miodrag and Protić, Nada and Delić, Dušica and Filipović, Milomir and Filipović, Vladimir and Ugrenović, Vladan",
year = "2013",
abstract = "The aim of research was to establish the influence of seed size on grain weight per spike of three wheat varieties. A trial was set up using split-plot method in four replications in Pancevo in the period 2004-2006. The seed was divided according to the size in four fractions: 1.8, 2.0, 2.2, 2.5 and 2.8 mm. A significant interaction was determined between the tested varieties and the years of testing, whilst a highly significant interaction was determined between the years of testing and the seed size, the varieties and the seed size, between the tested varieties, the years of testing and the tested seed size. The highest grain weight per spike was determined in PKB-Christina variety (2.29 g), and Pobeda variety (2.25 g), whilst Vizija variety had the lowest grain weight per spike (2.11 g). The difference was highly significant. The analysis of variance determined a highly significant difference between the years when the experiment was conducted, which is often seen in this region. Highly significant differences in the grain weight per spike were determined at different seed sizes. Larger seeds produced higher grain weight per spikes, highest weight being obtained with largest seeds (>= 2.8 mm).",
publisher = "Natl Agricultural Research & Development Inst, Fundulea",
journal = "Romanian Agricultural Research",
title = "Variation of grain weight per spike of wheat depending on variety and seed size",
volume = "30",
pages = "51-55",
url = "https://hdl.handle.net/21.15107/rcub_rik_489"
}
Protić, R., Todorović, G., Kostić, M., Protić, N., Delić, D., Filipović, M., Filipović, V.,& Ugrenović, V.. (2013). Variation of grain weight per spike of wheat depending on variety and seed size. in Romanian Agricultural Research
Natl Agricultural Research & Development Inst, Fundulea., 30, 51-55.
https://hdl.handle.net/21.15107/rcub_rik_489
Protić R, Todorović G, Kostić M, Protić N, Delić D, Filipović M, Filipović V, Ugrenović V. Variation of grain weight per spike of wheat depending on variety and seed size. in Romanian Agricultural Research. 2013;30:51-55.
https://hdl.handle.net/21.15107/rcub_rik_489 .
Protić, Rade, Todorović, Goran, Kostić, Miodrag, Protić, Nada, Delić, Dušica, Filipović, Milomir, Filipović, Vladimir, Ugrenović, Vladan, "Variation of grain weight per spike of wheat depending on variety and seed size" in Romanian Agricultural Research, 30 (2013):51-55,
https://hdl.handle.net/21.15107/rcub_rik_489 .
2

Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments

Zorić, Miroslav; Kobiljski, Borislav; Dodig, Dejan; Quarrie, Steve; Barnes, Jeremy

(Springer, Dordrecht, 2012)

TY  - JOUR
AU  - Zorić, Miroslav
AU  - Kobiljski, Borislav
AU  - Dodig, Dejan
AU  - Quarrie, Steve
AU  - Barnes, Jeremy
PY  - 2012
UR  - http://rik.mrizp.rs/handle/123456789/411
AB  - A set of 96 winter wheat accessions sampled from a variety of geographic origins, including cultivars and breeding lines, were characterized with 46 genome-wide SSR loci for genetic diversity and population structure. The genetic diversity within these accessions was examined using a genetic distance-based and a model-based clustering method. The model-based analysis identified an underlying population structure comprising of four distinct sub-populations which corresponded well with distance-based groupings. Information on the population structure is taken into account in an association mapping study of grain yield from a 3-years field trial incorporating fully irrigated, rainfed and drought stress treatments. A total of 21 marker-grain yield associations (P  lt  0.01) were identified with nine SSR markers. Most associations were detected only in one to three environments (treatment/year combination), with an average R (2) value around 13 %. However, marker gwm484 (on chromosome 2D) was associated with yield in six environments, including irrigated, rainfed and drought stress treatments, suggesting it could be used to improve grain yield across a range of environments. Variation in grain yield at this locus was associated with earliness, early vigour, kernels per spikelet and harvest index. Microsatellite locus psp3200 (on chromosome 6D) was associated with yield in dry and hot environments, which was related to earliness, early vigour, productive tillering and total biomass per plant. Partial least squares regression, with nine environmental factors, showed that precipitation from tillering to maturity was the main environmental factor causing marker x environment associations for grain yield.
PB  - Springer, Dordrecht
T2  - Genetica
T1  - Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments
VL  - 140
IS  - 4-6
SP  - 259
EP  - 275
DO  - 10.1007/s10709-012-9677-2
ER  - 
@article{
author = "Zorić, Miroslav and Kobiljski, Borislav and Dodig, Dejan and Quarrie, Steve and Barnes, Jeremy",
year = "2012",
abstract = "A set of 96 winter wheat accessions sampled from a variety of geographic origins, including cultivars and breeding lines, were characterized with 46 genome-wide SSR loci for genetic diversity and population structure. The genetic diversity within these accessions was examined using a genetic distance-based and a model-based clustering method. The model-based analysis identified an underlying population structure comprising of four distinct sub-populations which corresponded well with distance-based groupings. Information on the population structure is taken into account in an association mapping study of grain yield from a 3-years field trial incorporating fully irrigated, rainfed and drought stress treatments. A total of 21 marker-grain yield associations (P  lt  0.01) were identified with nine SSR markers. Most associations were detected only in one to three environments (treatment/year combination), with an average R (2) value around 13 %. However, marker gwm484 (on chromosome 2D) was associated with yield in six environments, including irrigated, rainfed and drought stress treatments, suggesting it could be used to improve grain yield across a range of environments. Variation in grain yield at this locus was associated with earliness, early vigour, kernels per spikelet and harvest index. Microsatellite locus psp3200 (on chromosome 6D) was associated with yield in dry and hot environments, which was related to earliness, early vigour, productive tillering and total biomass per plant. Partial least squares regression, with nine environmental factors, showed that precipitation from tillering to maturity was the main environmental factor causing marker x environment associations for grain yield.",
publisher = "Springer, Dordrecht",
journal = "Genetica",
title = "Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments",
volume = "140",
number = "4-6",
pages = "259-275",
doi = "10.1007/s10709-012-9677-2"
}
Zorić, M., Kobiljski, B., Dodig, D., Quarrie, S.,& Barnes, J.. (2012). Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments. in Genetica
Springer, Dordrecht., 140(4-6), 259-275.
https://doi.org/10.1007/s10709-012-9677-2
Zorić M, Kobiljski B, Dodig D, Quarrie S, Barnes J. Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments. in Genetica. 2012;140(4-6):259-275.
doi:10.1007/s10709-012-9677-2 .
Zorić, Miroslav, Kobiljski, Borislav, Dodig, Dejan, Quarrie, Steve, Barnes, Jeremy, "Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments" in Genetica, 140, no. 4-6 (2012):259-275,
https://doi.org/10.1007/s10709-012-9677-2 . .
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