vegetative season
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2021 ◽  
Vol 56 ◽  
Author(s):  
Agnieszka Maria Salamaga

Abstract Herein, the results of studies conducted in the Łagiewnicki Forest in the city of Łódź (central Poland) in 2010–2012 are presented. These were the first long-term observations into myxomycetes in the Łagiewnicki Forest and in central Poland. Investigations were conducted using the route method for the entire forest complex (2010–2012). Additionally, twelve logs were selected in the “Las Łagiewnicki” forest reserve for detailed observations in 2011–2012; these logs belonged to four tree species: Betula pendula Roth, Carpinus betulus L., Quercus sp., and Picea abies (L.) H. Karst. In total, 1,561 specimens were collected and were classified into 96 taxa (91 species and five varieties). Three species ( Diderma saundersii , Oligonema flavidum , and Didymium eximium ) are new to the biota of Poland, while five ( Arcyria stipata , Hemitrichia calyculata , Oligonema schweinitzii , Physarum flavicomum , and Physarum robustum ) are included on the red list of rare myxomycetes in Poland. Stemonitopsis amoena is also classified as a rare species; to date, this species has been reported in one locality in Poland. The scale by Stephenson et al. was used to determine the frequency of occurrence of individual taxa; 55 taxa were classified as rare, nine as sporadic, 26 as common, and six as abundant taxa. Three ecological groups of slime molds were identified based on the type of substrate they colonized: lignicolous (54 taxa), foliicolous (seven taxa), and corticolous (two taxa). No preference for the substrate was noticed in a group of 33 taxa that occurred on different substrate types. The phenology of myxomycete occurrence was also analyzed; 49 taxa occurred throughout the entire vegetative season, while only single records of species that were found in specific months were noted. The biota collected in the “Las Łagiewnicki” forest reserve and that in a Łagiewnicki Forest segment outside it (of the same size and the same occurrence of plant communities as in the reserve) in 2011–2012 were also compared.


Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2523
Author(s):  
Jacek Leśny ◽  
Leszek Kuchar ◽  
Monika Panfil ◽  
Dmitri V. Vinogradov ◽  
Ewa Dragańska

This paper presents the methodology of taking measurements of active surface energy balance components using the Bowen method. It discusses the applied measurement system, an important part of which are HMD 50U/50Y measurement sensors from Vaisala, adapted to work in the field. Their operation is a source of data for determining vertical profiles of temperature and water vapour pressure. These data are used to determine the turbulence components of the energy balance, i.e., sensible and latent heat. Measurements taken during the vegetative season on rape field showed that intensive evaporation occurred in the period until the end of June and that its decrease coincided with the decrease in the value of the degree of plant development determined on the basis of LAI records. In spring, during the period of intensive plant development, the decade sums of evaporation reached 30 mm, after which their quantities fell to the range of 10–15 mm. They became higher only in the periods of precipitation, when the water from the interception was available.


Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1172
Author(s):  
Aušra Marcinkevičienė ◽  
Aušra Rudinskienė ◽  
Rimantas Velička ◽  
Robertas Kosteckas ◽  
Zita Kriaučiūnienė

The field experiment was carried out at the Experimental Station of Vytautas Magnus University Agriculture Academy (Lithuania) in 2017–2019. The aim of the study was to determine and to compare weed spread and caraway crop productivity in sole (spring barley, spring wheat, pea, caraway), binary (spring barley-caraway, spring wheat-caraway, pea-caraway) and trinary (spring barley-caraway-white clover, spring wheat-caraway-white clover, pea-caraway-white clover) crops. In the second and the third years of caraway cultivation, it was estimated that the abundance of perennial weeds in the crops increased. In the first year, significantly the highest dry matter mass of weeds was determined in non-sprayed with herbicides binary crops with undersown caraway and in trinary crops with undersown caraway and clover; in the second year—in the caraway binary crops, when they were grown after barley and wheat without clover; in the third year—in caraway binary and trinary crops when they were grown after barley, wheat and pea without clover and after barley and wheat with clover. In the second year, the highest yields of caraway seeds were obtained by growing them in peas, and in the third year by growing them in wheat together with clover. Caraway can be grown in trinary crops, including white clover, and harvested in the second or the third year of the vegetative season.


Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 529
Author(s):  
Kęstutis Romaneckas ◽  
Rasa Kimbirauskienė ◽  
Aušra Sinkevičienė ◽  
Iwona Jaskulska ◽  
Sidona Buragienė ◽  
...  

Differently tilled faba bean cultivations, in particular, require a comprehensive study of weed diversity, abundance, and seedbank due to the lack of experimental data. Therefore, in 2016–2018, field trials were conducted at Vytautas Magnus University on the basis of a long-term tillage experiment. Conventional deep and shallow plowing, deep chiseling, shallow disking, and no-tillage systems were investigated. According to the results of the investigations, the air temperature and amount of precipitation during the vegetative season had a greater influence on the total number of weeds (r = 0.538 and 0.833 p > 0.05) than the types of tillage systems investigated. However, on average, a reduction in tillage intensity did not change the weed number, especially in disked and not tilled plots. On average, the biomass of weeds varied little between the treatments (from 105.9 to 125.7 g m−2) and mainly depended on the volume of forecrop residues (rannual = −0.982 p ≤ 0.01 and rperennial = 0.890 p ≤ 0.05). Higher total weed seedbanks were found in the disked (+43.0%) and not tilled (+21.6%) soils compared to deeply plowed ones. The weed seedbank was almost similarly distributed between the treatments, irrespective of the tillage depth and method used.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fabio Palumbo ◽  
Andrea Squartini ◽  
Gianni Barcaccia ◽  
Stefano Macolino ◽  
Cristina Pornaro ◽  
...  

AbstractDiet selection by grazing livestock may affect animal performance as well as the biodiversity of grazed areas. Recent DNA barcoding techniques allow to assess dietary plant composition in faecal samples, which may be additionally integrated by the description of gut microbiota. In this high throughput metabarcoding study, we investigated the diversity of plant, fungal and bacterial taxa in faecal samples of lactating cows of two breeds grazing an Alpine semi-natural grassland during summer. The estimated plant composition of the diet comprised 67 genera and 39 species, which varied remarkably during summer, suggesting a decline of the diet forage value with the advancing of the vegetative season. The fungal community included Neocallimastigomycota gut symbionts, but also Ascomycota and Basidiomycota plant parasite and coprophilous taxa, likely ingested during grazing. The proportion of ingested fungi was remarkably higher than in other studies, and varied during summer, although less than that observed for plants. Some variation related to breed was also detected. The gut bacterial taxa remained stable through the summer but displayed a breed-specific composition. The study provided insights in the reciprocal organisms’ interactions affecting, and being affected by, the foraging behaviour: plants showed a high temporal variation, fungi a smaller one, while bacteria had practically none; conversely, the same kingdoms showed the opposite gradient of variation as respect to the animal host breed, as bacteria revealed to be the group mostly characterized by host-specificity.


Agriculture ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 618
Author(s):  
Leen Almadi ◽  
Andrea Paoletti ◽  
Nicola Cinosi ◽  
Elissa Daher ◽  
Adolfo Rosati ◽  
...  

Experiments were carried out in 2018 and 2019 to evaluate the effects of a biostimulant of animal origin, with a hormone-like action, on the growth and physiology of young olive trees. The biostimulant, consisting of a complex of natural amino acids (glycine, proline, and hydroxyproline, etc.), was applied by fertigation to both potted (one-year-old) and field-grown (2 years after transplanting) young olive trees. The control consisted of trees treated with an amount of urea nitrogen equal to the total nitrogen supplied with the biostimulant. Potted trees treated with the biostimulant showed greater growth than the control soon after treatment and up to the end of the vegetative season. Generally, this was associated with higher leaf photosynthetic rates and stomatal conductance. At the end of the experiment, all tree parts (roots, stem, shoots, and leaves) of the treated trees had greater biomass than the control. The trunks of field-grown trees treated with the biostimulant had greater growth with respect to the control. Overall, the results indicate the possibility of using the biostimulant based on complexes of natural amino acids to promote the growth of young olive trees.


2020 ◽  
Vol 12 (23) ◽  
pp. 3927
Author(s):  
Hugo De Lemos ◽  
Michel M. Verstraete ◽  
Mary Scholes

Mathematical models, such as the logistic curve, have been extensively used to model the temporal evolution of biological processes, though other similarly shaped functions could be (and sometimes have been) used for this purpose. Most previous studies focused on agricultural regions in the Northern Hemisphere and were based on the Normalized Difference Vegetation Index (NDVI). This paper compares the capacity of four parametric double S-shaped models (Gaussian, Hyperbolic Tangent, Logistic, and Sine) to represent the seasonal phenology of an unmanaged, protected savanna biome in South Africa’s Lowveld, using the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) generated by the Multi-angle Imaging SpectroRadiometer-High Resolution (MISR-HR) processing system on the basis of data originally collected by National Aeronautics and Space Administration (NASA)’s Multi-angle Imaging SpectroRadiometer (MISR) instrument since 24 February 2000. FAPAR time series are automatically split into successive vegetative seasons, and the models are inverted against those irregularly spaced data to provide a description of the seasonal fluctuations despite the presence of noise and missing values. The performance of these models is assessed by quantifying their ability to account for the variability of remote sensing data and to evaluate the Gross Primary Productivity (GPP) of vegetation, as well as by evaluating their numerical efficiency. Simulated results retrieved from remote sensing are compared to GPP estimates derived from field measurements acquired at Skukuza’s flux tower in the Kruger National Park, which has also been operational since 2000. Preliminary results indicate that (1) all four models considered can be adjusted to fit an FAPAR time series when the temporal distribution of the data is sufficiently dense in both the growing and the senescence phases of the vegetative season, (2) the Gaussian and especially the Sine models are more sensitive than the Hyperbolic Tangent and Logistic to the temporal distribution of FAPAR values during the vegetative season, and, in particular, to the presence of long temporal gaps in the observational data, and (3) the performance of these models to simulate the phenology of plants is generally quite sensitive to the presence of unexpectedly low FAPAR values during the peak period of activity and to the presence of long gaps in the observational data. Consequently, efforts to screen out outliers and to minimize those gaps, especially during the rainy season (vegetation’s growth phase), would go a long way to improve the capacity of the models to adequately account for the evolution of the canopy cover and to better assess the relation between FAPAR and GPP.


2020 ◽  
pp. 139-146
Author(s):  
L. Pravdyva

Grain sorghum is one of the most highly productive multipurpose grain crops for food, feeding and technical purposes. Considering this, the research of the elements of the technology of grain sorghum growing is expedient and high-potential. The article presents the research results of the influence of the sowing time and the depth of planting seeds on the phenological observations, field germination of seeds, biometric indicators of sorghum plants of the grain varieties Dniprovskyi 39 and Vinets in the Right-Bank Forest-Steppe of Ukraine. The aim of the research is to establish the optimal sowing time and the depth of planting seeds of the grain sorghum varieties, to substantiate their influence on the characteristics of plant growth and development in the conditions of the RightBank Forest-Steppe of Ukraine. The research was conducted during 2016–2020 in the conditions of the Bilotserkivska RAS of the Institute of Bioenergy Crops and Sugar Beet of the National Academy of Sciences of Ukraine. It is proved that the sowing time and the depth of seeding have a significant impact on the growth and development of the grain sorghum plants. It is established that at the 1st decade of May and to the planting depth of 4–6 cm the grain sorghum seeds vegetative season reduces and equates 108 for the Dniprovskyi variety, and 105 days for the Vinets variety. Sowing seeds at the 3rd decade of April and the 2nd decade of May, as well as decreasing the planting depth to 2 cm and increasing to 8 cm, lengthens the grain sorghum vegetative season of the researched varieties. Field germination reached its maximum in grain sorghum seeds sowing at the 1st decade of May and to the planting depth of 4–6 cm and equals to 84.2–86.8 % for the Dniprovskyi 39 variety and 83.1–85.4 % for the Vinets variety. Biometric indicators that affect the formation of crop productivity, namely, plant height, bushiness, stem diameter, were maximum in the same variant of the experiment. Key words: grain sorghum, varieties, sowing time, seeding depth, phenological observations, biometric indicators.


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