Spring barley performances in the Pannonian zone

Pržulj, Novo; Momčilović, Vojislava

doi:10.2298/gensr1203499p

Cited by 14 publications

(14 citation statements)

References 29 publications

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“…Estimates for wheat indicate that for every 1 °C increase in temperature above 15 °C there is a reduction of 3-4% in yield (Wardlaw et al 1989). High temperature during pre-anthesis period in season 2003 decreased the final number of tillers (Pržulj and Momčilović 2012), which is in agreement with the results of Garcia del Moral et al (2003). Besides negative effects on barley grain yield, high temperatures and drought stress increased protein concentration in barley grain (data not shown), which is in negative correlation with malt quality (Passarella et al 2008).…”

Section: Discussionmentioning

confidence: 99%

“…The Pannonian region, which includes Hungary and parts of Serbia and Romania, is characterized by high year-to-year climate variability and there are chances of further increase in the occurrence of undesirable seasons for spring barley production due to climate change (Olesen et al 2011). These undesirable years are characterized by increased temperature and lack of rainfall during the period of ear development, pollination and grain filling period (Pržulj and Momčilović 2012). Heat and drought stress are significant reasons why production of spring barley in this region is more insecure than winter barley production (Metzger et al 2005).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of spring barley performance by biplot analysis

Pržulj¹,

Mirosavljević²,

Čanak³

et al. 2015

Cereal Research Communications

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Unpredictable environmental conditions lead to occurrence of large genotype by environment (G × E) interaction. It reduces the correlation between genotypic and phenotypic values and complicates selection of superior genotypes. The objective of this study was to estimate genotype by year (G × Y) interaction using AMMI model, to identify spring barley genotypes with stable and high yield performance and to observe association of different meteorological variables with tested growing seasons. The trials with 15 spring barley genotypes were conducted during seven years (1999)(2000)(2001)(2002)(2003)(2004)(2005) at the location of Rimski Šančevi. The results showed that the influence of year (Y), genotype (G) and G × Y interaction on barley grain yield were significant (p < 0.01). Meteorological variables varied significantly from year to year and Y explained the highest percent of treatment variation (81%). The first three IPCA were significant and explained 83% of interaction variation. According to this study, it could be concluded that AMMI analysis provided an enhanced understanding of G × Y interaction in barley multi-years trials. Among the tested genotypes, LAV and NS 477 could be separated as highest yielding genotypes, however LAV could be recommended for further breeding program and large-scale production due to its stable and high yielding performance. It also provided better insight in specific association between spring barley grain yield and meteorological variables.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of spring barley performance by biplot analysis

Pržulj¹,

Mirosavljević²,

Čanak³

et al. 2015

Cereal Research Communications

View full text Add to dashboard Cite

show abstract

“…In Serbia, barley production occupies between 90,000 and 100,000 ha across the country and it is used for livestock feed, malt, food and seed production (FAOSTAT 2014). Climate conditions in the Pannonian plain show large and unpredictable variations across different cropping seasons (Pržulj & Momčilović 2012). Moreover, Olesen et al (2011) predict that climate change will increase the occurrence of undesirable years for crop production.…”

Section: Introductionmentioning

confidence: 99%

Relationship between grain yield and agronomic traits in winter barley

Mirosavljević¹,

Pržulj²,

Čanak³

et al. 2015

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Grain yield is one of the most important and complex traits in cereal breeding and depends upon a combination of different plant traits. Therefore, an effective breeding program requires a proper understanding of the relationships between grain yield and agronomic traits. The objectives of this study were the evaluation of tworowed winter malting barley genotypes and the perceiving of relationships among grain yield and their agronomic and quality traits. The trials with 19 two-rowed winter malting barley genotypes were conducted during three years. The relationships among plant lodging, height, thousand kernel weight, hectolitre mass, grain protein content and grain yield, were studied by PCA biplot analysis. The results showed that the influence of year, genotype and genotype by year interaction on barley grain yield were significant. Further, results indicate that two-rowed winter malting barley grain yield can be improved by selecting plants of average plant height with thousand kernel weight above 41.0 g and grain protein content of about 11.0 g 100-1 g dm.

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“…Bridges -in a broader sense -have the primary purpose of continuing roads while also representing structures by which certain barriers are crossed [11]. Each and every bridge structure needs to fulfill four basic requirements: a functional demand, a stable demand (security, stability and durability), an aesthetic demand, and an economic demand [12].…”

Section: Geodetic Activities During the Design And Execution Of Bridgesmentioning

confidence: 99%

A Simulation Analysis on the Expected Horizontal Accuracy of a Bridge Stakeout

et al. 2018

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Abstract:The positioning of an object in space, i.e. "transfer" of data from the design to the field is an extremely significant and important geodetic operation. This activity requires great and well-deserved attention, especially when it comes to sensitive structures such as bridges. The position of a stakeout point in the field depends on a variety of different influences, all determining the actual accuracy of the stakeout. The aim of this Article is to investigate the dependency of horizontal setting out of the bridge axis accuracy (abutments and piers of the bridge) from the distance between the station and the setout point, the datum of the geodetic control network, and the precision of angular and linear measurements. The authors use an innovative visualization technique for the assessment of spatial variation of the horizontal stakeout by error ellipses.

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Spring barley performances in the Pannonian zone

Cited by 14 publications

References 29 publications

Evaluation of spring barley performance by biplot analysis

Evaluation of spring barley performance by biplot analysis

Relationship between grain yield and agronomic traits in winter barley

A Simulation Analysis on the Expected Horizontal Accuracy of a Bridge Stakeout

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