جستجوی مقالات مرتبط با کلیدواژه « Eigen vector » در نشریات گروه « کشاورزی »

In order to selection of soybean genotypes under different amounts of sulfur, 30 soybean genotypes were evaluated at three levels of sulfur (control, 5 and 10 g/Kg soils) concentration of sulfur was 98 % and it was added as 0, 0.1 and 0.2 % of evaluated soils. The experiment was lay out as a factorial arrengment in a randomized complete block design with three replications at Sari Agricultural Science and Natural Resources University in 2016. Evaluated traits included height of main branch, height of first sub branch, number of main branch pods, number of sub branch pods, 100 seed weight, total chlorophyll content, chlorophyll a content, chlorophyll b content, carotenoid content, sulfur content, Oil percentage, protein percentage and grain yield per plant. The results of analysis of variance of studied traits showed that sulfur application has a significant effect (P<0.01) on the studied traits. According to the results of means comparisons, the highest amounts of oil and protein percentage were obtained in Dayr and Williams genotypes at the third level of sulfur. The highest and lowest grain weights were observed in Hill and Vabash genotypes in the second level of sulfur, respectively. The results of the cluster analysis using Ward method, divided the soybean genotypes into two distinct groups. The genotypes were grouped using principal component analysis and biplot, too. According to the results of the cluster analysis, genotypes of the first group, which had high mean for the studied traits, were selected. Therefore, these genotypes can be used to select high-yielding genotypes and desirable agronomic traits that have the ability to absorb more sulfur in future breeding programs.

In this paper two technics of, definitive analytical hierarchy process and Fuzzy analytical hierarchy process are compared. By this means a practical instance of fuzzy and definitive analytical hierarchy process is proposed for defining the priority of production of crops in farms of babolsar city. In a definitive approach‚ by the use of Eigen vector and the expert choice software‚ the final weights are calculated for each matrix. In the fuzzy approach‚ by the use of young changes extend analysis method‚ in which the used Triangular numbers are fuzzy, the final weights are calculated. the purpose is to define priority of producing rice‚ wheat and canola‚ with considering two quantitative criterions of benefit and efficiency per hectare plus two qualitative criterions of expertise and buying guaranty from the view point of agriculture sector reporters. Results indicate that in both approaches of fuzzy and definitive analytical hierarchy process‚ the importance of rice is more than canola and wheat. But fuzzy analytical hierarchy process makes the decision maker reach a more trusted final priority appointment (because of more difference in the weights).

Having a correct view of the effective factors on climatic changes by explanation of a considerable part of the total variance in data with limited number of principal components the analytical methods of decreasing data dimensions، such as PCA are important tools in water resources planning. In this study factor analysis method as a tool for projecting the information space on the limited and specific axes، has been applied. The main aim of this study is regionalization of Urmia Lake basin from the view of drought using factor analysis. For this purpose monthly precipitation data of 30 weather stations in the period 1972-2009 were used. For each of the selected stations three and twelve months SPI value were calculated. Factor analysis conducted on SPI values to delineate the study area with respect to drought characteristics. Homogeneity of obtained regions tested using the S-statistics proposed by Wiltshire. Resultes of factor analysis of 3 (12) months SPI values showed that 5 (6) factors having eigen values greater than 1 acounted for 68. 08 (78. 88) percent of total variance. Urmia Lake basin delineated to 5 (6) distinct regions considering the eigenvectors following rotation using the 3 (12) month time scale. Results of homogeneity test indicated that all of the obtained regions were homogeneous.