Influence of Sustainable Fertilization on Yield and Quality Food of Mountain Grassland

The semi-natural grasslands in Romanian mountains are particularly important for the sustainable development of this region. Therefore, the objective of this paper was to evaluate the effects of mineral and manure fertilization upon the sward in order to recommend certain versions which have minor repercussions upon the plant diversity. In this study, we examined the influence of organic and mineral fertilizers on the production, biodiversity and quality of green fodder. The experiment was set up in mountain grassland of Festuca rubra L. and Agrostis capillaris L., during five years. In the experiment was evaluated the effects of management treatments on productivity, biodiversity and quality of the forage grass. The rate applications of fertilizers determine the number of species and the rate of production. The small quantities of organic and mineral nutrients (10 t·ha-1 manure and 30 kg·ha-1 nitrogen) can lead to larger yields while at the same time, improving biodiversity conservation and the quality of forage. Using a low input-based management system can be a solution that will lead to higher yields and contribute to biodiversity conservation and the good quality of the forage. In conclusion the use of a fertilizer management regime based on small quantities of organic and mineral nutrients can lead to larger yields while at the same time, improving biodiversity conservation and the quality of forage

Analiza complexităţii manualelor şcolare din sistemul de învăţământ francez primar

National audienceRezumat. Una din sarcinile dificile din prelucrarea limbajului natural ţine de evaluarea complexităţii sau a dificultăţii înţelegerii a textelor. Astfel, de un interes aparte sunt instrumentele de analiză automată a textelor care permit realizarea unei predicţii a complexităţii textelor pornind de la factori lexicali, sintactici, morfologici sau chiar semantici în funcţie de specificitatea abordării. Totodată, elementele de complexitate sunt dependente de context şi de domeniul de aplicare. Astfel, o analiză pur tehnică care se bazează doar pe metrici fără să ia în considerare constrângerile de psihologie, modele umane, vârstă şi motivaţia este insuficientă pentru a realiza o predicţie adecvată. În plus, alte aspecte ale analizei complexităţii sunt corelate cu etapele de achiziţie (împreună cu acurateţea şi fluenţa), corelate cu adaptarea mesajului comunicat audienţei din prisma corectitudinii, coerenţei şi adaptabilităţii la nivelul acesteia. Adiţional, metricile de complexitate textuală reprezintă indicatori importanţi de înţelegere şi coerenţă pentru texte comune întâlnite uzual în Internet, lucrări publicate şi cărţi

Analiza complexităţii manualelor şcolare din sistemul de învăţământ francez primar

National audienceRezumat. Una din sarcinile dificile din prelucrarea limbajului natural ţine de evaluarea complexităţii sau a dificultăţii înţelegerii a textelor. Astfel, de un interes aparte sunt instrumentele de analiză automată a textelor care permit realizarea unei predicţii a complexităţii textelor pornind de la factori lexicali, sintactici, morfologici sau chiar semantici în funcţie de specificitatea abordării. Totodată, elementele de complexitate sunt dependente de context şi de domeniul de aplicare. Astfel, o analiză pur tehnică care se bazează doar pe metrici fără să ia în considerare constrângerile de psihologie, modele umane, vârstă şi motivaţia este insuficientă pentru a realiza o predicţie adecvată. În plus, alte aspecte ale analizei complexităţii sunt corelate cu etapele de achiziţie (împreună cu acurateţea şi fluenţa), corelate cu adaptarea mesajului comunicat audienţei din prisma corectitudinii, coerenţei şi adaptabilităţii la nivelul acesteia. Adiţional, metricile de complexitate textuală reprezintă indicatori importanţi de înţelegere şi coerenţă pentru texte comune întâlnite uzual în Internet, lucrări publicate şi cărţi

The Productivity and Quality of Alfalfa (Medicago sativa L.) in Romanian Forest Steppe

Alternative use of alfalfa, for various purposes, including the production of biofuels or food supplement for human alimentation, is a study topic still in its early stages of research. Studying and understanding the biology of alfalfa and the factors with a major influence on it are very important activities. The productivity and quality of alfalfa are two indicators that help determine, in addition to economic value, the way in which alfalfa can be used. Evolution of alfalfa yield and quality depends on many factors, such as the growth stage of alfalfa plants at harvesting. It was observed over three years of vegetation the influence of alfalfa plant growth stage at harvest on plant height, leaves/stems ratio, production of leaves, stems and whole plant (DM - dry matter) per hectare and on quality indicators (CP - crude protein, NDF - neutral detergent fiber and ADF - acid detergent fiber). The results showed that, with the advancement of phenological phases, from early bud stage to complete flowering, the total biomass output raised from 2.79 Mg·ha-1 to 4.60 Mg·ha-1, the neutral detergent fiber raised from 48.4-50.6% to 62.0-67.7%, while crude protein content decreased from 21.2-24.0% to 13.3-16.5%. The parameter values were correlated with alfalfa growth stage during the harvesting (significant at the 0.05 and 0.01 probability levels)

Reflecting Comprehension through French Textual Complexity Factors

International audienceResearch efforts in terms of automatic textual complexity analysis are mainly focused on English vocabulary and few adaptations exist for other languages. Starting from a solid base in terms of discourse analysis and existing textual complexity assessment model for English, we introduce a French model trained on 200 documents extracted from school manuals pre-classified into five complexity classes. The underlying textual complexity metrics include surface, syntactic, morphological, semantic and discourse specific factors that are afterwards combined through the use of Support Vector Machines. In the end, each factor is correlated to pupil comprehension metrics scores, spanning throughout multiple classes, therefore creating a clearer perspective in terms of measurements impacting the perceived difficulty of a given text. In addition to purely quantitative surface factors, specific parts of speech and cohesion have proven to be reliable predictors of learners' comprehension level, creating nevertheless a strong background for building dependable French textual complexity models

Predicting Comprehension from Students’ Summaries

International audienceComprehension among young students represents a key component of their formation throughout the learning process. Moreover, scaffolding students as they learn to coherently link information, while organically construct- ing a solid knowledge base, is crucial to students’ development, but requires regular assessment and progress tracking. To this end, our aim is to provide an automated solution for analyzing and predicting students’ comprehension levels by extracting a combination of reading strategies and textual complexity factors from students’ summaries. Building upon previous research and enhancing it by incorporating new heuristics and factors, Support Vector Machine classification models were used to validate our assumptions that automatically identified reading strategies, together with textual complexity indices applied on students’ summaries, represent reliable estimators of comprehension

RESEARCH ON THE INFLUENCE OF SOME ELEMENTS OF TECHNOLOGY ON SOME MORFOPRODUCTIVE INDICATORS OF SAINFOIN (Onobrychis viciifolia Scop.) IN SEED CROPS, IN THE FIRST YEAR OF VEGETATION

The research conducted during the period of March to October 2019, at the Research and Development Station forMeadows, Vaslui (46°40'-36°10' north latitude and 27°44'-20°40' east longitude) followed the influence of fertilization and the distance between rows on the plants height (cm), shoots number (shoots·m-2), inflorescences number (inflorescences·m-2), and seeds production (kg·ha-1) at sainfoin (OnobrychisviciifoliaScop.) VLAMAR variety, in the first year of vegetation.The organized experience was bifactorial, 3x5 type, placed according to the method of subdivided plots, with the plot harvestable area of 13.5 m2 (1.5 m x 9 m), in three replications, and the factors studied were: A - the distance between rows with three graduations (a1 - 25 cm, a2 - 37.5 cm and a3 - 50 cm) and B - fertilization with five graduations (b1 - unfertilized, b2 - N50P50, b3 - N50P50K50, b4 - N100P100K100 and b5 - cow manure 20 Mg·ha-1). Following the study, it was found that by applying mineral or organic fertilizers and by sowing at smaller distances between rows higher plants were obtained, with a higher number of shoots·m2.The seed production varied between 91.2 kg·ha-1 for the variant sown at a distance of 50 cm between rows, unfertilized and 324.1 kg·ha-1 for the variant sown at a distance of 25 cm between rows, fertilized with N100P100K100