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JournalISSN: 0554-5579

Agriculture and Forestry 

University of Montenegro
About: Agriculture and Forestry is an academic journal published by University of Montenegro. The journal publishes majorly in the area(s): Biology & Crop yield. It has an ISSN identifier of 0554-5579. It is also open access. Over the lifetime, 507 publications have been published receiving 1359 citations. The journal is also known as: Agriculture and forestry & Agriculture and Forestry (Online).

Papers published on a yearly basis

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Journal Article
TL;DR: Overall based on the all AMMI parameters, genotypes G3, G8, G1, G12, G17 and G18 were the most stable genotypes which had relatively high mean yield and can be used as superior genotypes in relation with the warm dryland environments.
Abstract: Quick seed germination and stand establishment are significant factors to lentil This study was performed to determine the yield performances of 20 durum wheat genotypes across five sites in warm dryland areas of Iran, during 20042006 growing seasons. The experimental design was a randomized complete block design with four replications. The combined analysis of variance indicated that effects of environments, genotypes and genotype × environment (GE) interactions were significant, suggesting differential responses of the genotypes to environments and the need of stability analysis. Analysis of variance for AMMI (additive main effects and multiplicative interactions) model revealed the first four interaction principal components (IPC 1, IPC 2, IPC 3, IPC 4) were highly significant by Gollob’s F-test and accounted for 78.32% of GE interaction. The genotypes have high variation around the mean yield (3358.68 kg ha-1). According to IPC1, genotypes G17, G3, G1 and G8 were the most stable genotypes. Based on EV4 parameter, genotypes G17, G8, G12, and G18 and according to EV1, genotypes G4, G6, G19, G7 and G20 were the most stable genotypes. Genotypes G10, G9, G4, G14, G11, G6 and G18 based on SIPC4 parameter and genotypes G8, G1, G12, G18 and G17 based on ASV parameter were the most stable genotypes. MASV indicated that G17, G12, G8, G18, G1 and G3 were most stable genotypes. Overall based on the all AMMI parameters, genotypes G3, G8, G1, G12, G17 and G18 were the most stable genotypes which had relatively high mean yield and can be used as superior genotypes in relation with the warm dryland environments.

25 citations

Journal Article
TL;DR: F1 hybrid “LA-2662 × CLN-2418-A” proved to be the best cross in overall performance and should be further exploited in breeding plans for hybrid vigour and commercial utilization.
Abstract: Line × Tester analysis was used to identify the potential parents and their hybrids from a set of 12 crosses derived from three lines (LA-2661, LA-2662 and 017899) and four testers (BL-1078, BL-1079, CLN-2413 and CLN-2418-A). Results showed that parents and F1 hybrids differed significantly for general combining ability and specific combining ability effects, respectively. The values of general combining ability (GCA) and specific combining ability (SCA) variances depicted non-additive and additive gene action with predominance of non-additive gene action in the genetic determination of all characters except fruit yield per plant. Parent lines LA-2662 and CLN-2418-A provided the best general combining ability in more than one yield contributing traits. Specific combining ability effects, heterosis and heterobeltiosis in desired direction were recorded in two crosses viz. “LA-2662 × CLN-2418-A” and “LA-2662 × BL1078”. F1 hybrid “LA-2662 × CLN-2418-A” proved to be the best cross in overall performance and should be further exploited in breeding plans for hybrid vigour and commercial utilization.

23 citations

Journal Article
TL;DR: In this paper, the authors applied computer-graphic methods using IntErO software to calculate soil erosion intensity and maximum outflow in the Rovacki River Basin in the north of Montenegro.
Abstract: The Polimlje catchment area in the north of Montenegro covers an area of around 2200 km 2 where the river Lim receives 57 tributaries. One of the watersheds is the Rovacki River Basin, where the authors of this paper studied physical-geographical characteristics. Research of the Polimlje area was performed by several authors, applying classical qualitative and quantitative methods, using many mathematical models and various mechanical instruments in what was a very complex and time-consuming process. Many factors have influenced the development of erosion processes in the territory of the subject river basin. The most significant factors are the area’s climate, relief, geological substrate and pedological composition, as well as the condition of the vegetation cover and the land use. The authors of this paper applied computer-graphic methods using "IntErO" software to calculate soil erosion intensity and maximum outflow. The research predicts that the maximal outflow (incidence for the next 100 years) from the river basin, Qmax, is 40 m 3 s -1 . The river basin belongs in „Destruction Category IV”, according to the classification system of Professor Gavrilovic. The strength of the erosion process is weak, and the type is mixed erosion. The real soil losses are 1371 m³/year (117 m³/km²/year). To support faster vegetation recovery and protect the region from erosion processes, some biological protection measures need to be applied. These would prevent rapid runoff and maintain low transport of erosion material. This would further support reforestation and the recovery of grass, shrubs and trees.

23 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202313
2022114
202049
201925
20171
20162