An efficient estimation of crop performance in sheep fescue (Festuca ovina L.) using artificial neural network and regression models.

Festuca ovina L. (sheep fescue), a perennial grass plant found in mountainous regions, is important from both an ecological and economic viewpoint. However, the variability of biological yield of sheep fescue due to its reliance on different characteristics makes it difficult to accurately prediction using classic modeling techniques. In this study, machine learning methods and multiple regression models (linear and non-linear) are used to investigate the interdependence of various morphological and physiological characteristics on accurate prediction of the biological yield (BY) of sheep fescue. Principal components analysis and stepwise regression were used to select six agronomic parameters i.e. thousand seed weight (TSW), relative water content (RWC), canopy cover (CC), leaf area index, number of florescence, and viability (VA), while the output variable was BY. To optimized the artificial neural network (ANN) structure, different transfer functions and training algorithms, different number of neurons in each layer, different number of hidden layers and training iteration were tested. The accuracy of the models and algorithms is analyzed by root mean square error (RMSE), mean absolute error (MAE), and determination coefficient (R2). According to the findings, ANN models were more accurate than regression models. The ANN model with two hidden layers (i.e. structure of 6-4-8-1) which had RMSE, MAE and R2 scores of 0.087, 0.065 and 0.96, respectively, was discovered as the best model for predicting the BY. In addition, result of the sensitivity analysis showed TSW, RWC and CC, in that order, were the variables most important for high-quality BY estimation in both models regardless of input combination. Finally, the paper concludes that early flowering sheep fescue genotypes with long maturation and great TSW must be regarded as the most suitable model for increasing BY in breeding projects.

Varying the vegetative and morphological traits of Thymus kotschyanus L. submitted to potassium silicate nanoparticles, superabsorbent hydrogel, effective microorganisms, and animal manure / Variação das características vegetativas e morfológ icas de thymus kotschyanus l. submetida a nanopartículas de silicato de potássio, o hidrogel superabsorvente, os microorgan ismos efetivos e o esterco animal

To study the effects of some new facilitators on the vegetative and morphological traits of Thymus kotschyanus, nine treatments were tested in the experimental rangeland field at the University of Mohaghegh Ardabili, Ardabil, Iran. Treatments included control, potassium silicate nanoparticles (PSN) with two levels of 500 and 1000 mg/lit, superabsorbent hydrogel (SH) with two levels of 10 and 30 g/kg, animal manure (AM) with two levels of 100, 200 g/kg, and effective microorganisms (EM) with two levels of 1 and 2%. Data were subjected to one-way analysis of variance (ANOVA). Results of mean comparisons of treatments for Thymus kotschyanus characteristics showed that the highest amount of studied traits were observed in the treated SH 30 g/kg. These traits include plant height (19.44 cm), basal area (4.66 cm), canopy cover (99.11%), number of secondary branches (9.44) and depth of rooting (16.49 cm), aerial parts volume (26.77 cm3), root volume (17.66 cm3), aerial parts fresh weight (14.40 g), aerial parts dry weight (7.18 g), root fresh weight (3.98 g), and root dry weight (2.07 g). In general, the impact of treatments on Thymus growth traits were ranked as follows: SH 30 g/kg, PSN 1000 mg/lit, AM 200 g/kg, SH 10 g/kg, PSN 500 mg/lit, AM 100 g/kg, EM 2%, and EM 1%. In addition,the lowest plant traits were found in control. Overall, it is recommended extending the cultivation of this native medicinal plant by considering ecological conditions in each region. In addition, to promote the establishment and facilitate the growth of planted species, it is recommended using the facilitators utilized in the present work.

Para estudar os efeitos de alguns novos facilitadores sobre as características vegetativas e morfológicas de Thymus kotschyanus L., nove tratamentos foram testados no campo experimental de pastagens na Universidade de Mohaghegh Ardabili, Ardabil, Irã. Os tratamentos incluíram controle, nanopartículas de silicato de potássio (PSN) com dois níveis de 500 e 1000 mg/L, hidrogel superabsorvente (SH) com dois níveis de 10 e 30 g/kg, esterco animal (AM) com dois níveis de 100 e 200 g/kg e microorganismos efetivos (EM) com dois níveis de 1 e 2%. Os dados foram submetidos a uma análise de variância unidirecional (ANOVA). Os resultados das comparações médias dos tratamentos para as características de Thymus kotschyanus L. mostraram que a maior quantidade das características estudadas foi observada no tratamento com SH 30 g/kg. Essas características incluem altura de plantas (19,44 cm), área basal (4,66 cm), cobertura de dossel (99,11%), número de ramos secundários (9,44) e profundidade de enraizamento (16,49 cm), volume de partes aéreas (26,77 cm3), volume de raiz (17,66 cm3), peso fresco de partes aéreas (14,40 g), peso seco de partes aéreas (7,18 g), peso fresco de raiz (3,98 g) e peso seco de raiz (2,07 g). Em geral, o impacto dos tratamentos nas características de crescimento de Thymus foi classificado da seguinte forma: SH 30 g/kg, PSN 1000 mg/L, AM 200 g/kg, SH 10 g/kg, PSN 500 mg/L, AM 100 g/kg, EM 2% e EM 1%. Além disso, as características mais baixas da planta foram encontradas no controle. Em geral, recomenda-se estender o cultivo desta plantamedicinal nativa considerando as condições ecológicas em cada região. Além disso, para promover o estabelecimento e facilitar o crescimento de espécies plantadas, recomenda-se utilizar os facilitadores utilizados no presente trabalho.