Automation and digitalization of healthy fruit and berry plants reproduction

High-quality planting material is a condition for increasing productivity and labor productivity in the cultivation of agricultural products. High-quality planting material is material that is free from harmful pathogens. The process of plant healing requires significant time and material costs. However, with the proper organization, plant healing can be significantly accelerated and cheapened. The main condition for accelerating this process is maximum automation and digitalization of all stages of clonal micropropagation. The article shows the results of many years of work on the cultivation of healthy planting material. Variants of possible improvement of planting stock recovery are proposed with the introduction of the necessary hardware and software at specific stages of recovery and reproduction.

Linking Scales of Life-History Variation With Population Structure in Atlantic Cod

It is increasingly recognised that sustainable exploitation of marine fish requires the consideration of population diversity and associated productivity. This study used a combination of genotypic screening and phenotypic traits to define the scale of population structuring in Atlantic cod inhabiting the northern North Sea (ICES Sub-division 4a) and Scottish west coast (ICES Division 6a). The genetic analysis indicated an isolation by distance pattern with an even finer scale structuring than previously reported, that persisted over a decade and between feeding and spawning seasons. Spatial variation in phenotypic traits reflected genetic variation with cod maturing later and at a larger size near the Viking Bank in 4a. The identified population structuring provides an explanation for differences in historic changes in maturation schedules and the temperature exposure recorded in previous electronic tagging studies. The study also highlights how the mismatch between stock divisions and population units is leading to a misunderstanding about stock recovery.

Aboveground Biomass and Carbon Accumulation 19 Years Post-Windthrow and Salvage Logging

Natural disturbances shape forest ecosystem characteristics, including carbon storage and structure. Often, natural disturbances are compounded with anthropogenic disturbances, which may alter the trajectory of forest carbon stock recovery. Heterogeneous levels of disturbance severity in compound disturbance events add an additional layer of complexity. This paper examines the effect of a moderate-severity wind disturbance and subsequent salvage logging on forest biomass and carbon stock recovery over 19 years. We investigate the recovery of aboveground tree biomass following a wind disturbance and salvage logging and examine the role of wind disturbance severity on biomass accumulation rates. We use pre-disturbance, 3 years post-wind disturbance and 19 years post-wind disturbance measurements of tree biomass across two adjacent sites at Natchez Trace State Forest for Site A and Site B in east central Tennessee. We found no significant difference in the carbon storage at Site A (pre = 92 MgC/ha; 19 years post-disturbance = 83 MgC/ha) or Site B (pre = 66 MgC/ha; 19 years post-disturbance = 67) when comparing the pre-disturbance level of aboveground tree carbon storage with the 19-years post-disturbance levels. Furthermore, we found no evidence that salvage logging reduced the rate of live tree carbon accumulation. The corresponding rates of mean annual carbon accumulation (MgC/ha) are as follows: Site A Unsalvaged (1.07), Site A Salvaged (1.25) and Site B Salvaged (2.02). Contrary to our prediction, greater wind damage severity was weakly associated with higher rates of biomass accumulation (R2 = 0.17). While we found no negative effect of salvage logging on the aboveground tree carbon accumulation rate, salvage logging alters other carbon pools, including coarse woody debris. Salvage logging did not reduce the rate of carbon stock recovery, and a higher wind disturbance severity was associated with a greater rate of carbon stock recovery.

PRELIMINARY STOCK ASSESSMENT RESULTS FOR SHAD IN AZOV-BLACK SEA BASIN IN TERMS OF DATA LUCKING (2007–2020)

Black-azov sea shad Alosa immaculate (Bennett, 1835) stock assessment performed by trending model CMSY in terms of data lucking for period 2007–2020 in R. Model results showed current stock status in biological safe zone (B2020 = 2291 t, BMSY = 1855 t, B2020/BMSY = 1,23) with signs of minor overexploitation by fishing mortality (F2020 = 0,35, FMSY = 0,28, F2020/FMSY = 1,25). Obtained stock biomass estimates shows minor Black-Azov sea shad stock recovery evidence in period 2007–2020. Evidence of light population fishery overexploitation after 2018 are found, perhaps, was caused by IUU-fishery. Paper results underline to eliminate and regulate shad illegal, unreported, unregistered fishery in Azov-Black sea basin

Linking scales of life-history variation with population structure in Atlantic cod

It is increasing recognised that sustainable exploitation of marine fish requires the consideration of population diversity and associated productivity. This study used a combination of genotypic screening and phenotypic traits to define the scale of population structuring in Atlantic cod inhabiting the northern North Sea (ICES 4a) and Scottish west coast (6a). The genetic analysis indicated an isolation by distance pattern with an even finer scale structuring than previously reported, that persisted over a decade and between feeding and spawning seasons. Spatial variation in phenotypic traits reflected genetic variation with cod maturing later and at a larger size near the Viking Bank in 4a. The identified population structuring provides an explanation for differences in historic changes in maturation schedules and the temperature exposure recorded in previous electronic tagging studies. The study also highlights how the mismatch between stock divisions and population units is leading to a misunderstanding about stock recovery.