Reza Yari; Moslem Rostampour; Seyedeh Mahbubeh Mirmiran
Abstract
Estimating the nutritional value of forage is one of the main aspects of livestock management in rangelands. Since medicinal plants have a major contribution to the composition of rangeland vegetation, this research was conducted to determine the nutritional value of nine species of medicinal plants ...
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Estimating the nutritional value of forage is one of the main aspects of livestock management in rangelands. Since medicinal plants have a major contribution to the composition of rangeland vegetation, this research was conducted to determine the nutritional value of nine species of medicinal plants in the two stages of vegetative growth and flower in the rangelands of southern Khorasan province . samples were collected and drying , the percentage of crude protein, acid detergent fiber , neutral detergent fiber , dry matter digestibility and metabolizable energy were determined. To statistically analyze the data, a factorial experiment in the form of a completely random design with two factors: species in 9 levels and stage in 2 levels (vegetation and flowering) was used. Two-way analysis of variance (ANOVA) was used. The results showed that all studied traits were affected by the interaction of plant species and phenological stage. Increasing the length of growth from the vegetative stage to flowering in most species caused a decrease in crude protein, percentage of dry matter digestibility and metabolizable energy, and an increase in the percentage of acid detergent fiber . The highest amount of crude protein and digestibility of dry matter was observed in Ru.scutatus species at the vegetative stage. In this investigation, the amount of protein, digestibility and metabolic energy were observed in amounts above the critical limit in the vegetative stage and in Thymus kotschyanus, Rumex scutatus and Ferula haussknechtii species. Therefore, the end of the growing season with the reduction of essential oil in these species can be considered as the right time for livestock grazing in these species.
Reza Yari; Esfandiar Jahantab; Gholam Ali Heshmati
Abstract
Given the importance of having data on vegetation and soil in different geographical aspect, the aim of this study is the assessment the geographical aspect's impact on Functional Potential and soil surface indicators in Chhar-Bagh Summer Rangeland, Golestan province. For the study used the method Landscape ...
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Given the importance of having data on vegetation and soil in different geographical aspect, the aim of this study is the assessment the geographical aspect's impact on Functional Potential and soil surface indicators in Chhar-Bagh Summer Rangeland, Golestan province. For the study used the method Landscape Function Analysis (LFA) and main Geographical aspect. For this purpose, in the four main geographical aspect, three transects 100,m were established and along the transects type, length and width patches and interpatches were measured. To calculate the Functional Potential (Soil Stability, Infiltration and Nutrient Cycling and and Vegetation Organization Index). To investigate the functional significance potential of SAS Software and ANOVA, for mean potential functional classification of Duncan Test used. To investigate the soil surface along each transect, 5 plots and 11 indicators way quality and using the scoring tables and to check the normality of the data, the Kolmogorov-Smirnov test was used. To investigate the significance Kruskal-Wallis nonparametric test and classification of soil surface indicators grouped Duncan test was used. The results showed a significant difference between the functional potential in different geographical aspects (P> 0.05), So that the highest percentage of functional potential to the north and lowest in the East was estimated. Vegetation organization index for geographical aspects North, South, East and west were respectively 0.53, 0.43, 0.38 and 0.51. The results showed that except cryptogam cover and Micro-topography indexes, all indicators were significant in different geographical aspects (P> 0.05).
