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Genetic Variability, Inheritance and Correlation for Mineral Contents in Cabbage (Brassica Oleracea Var. Capitata L.)

, 1950 to 1999. J. Amer. Coll. Nutr. 23 : 669-682. Dewey D.R., Lu K.H. 1959. A correlation and path analysis of components of crested wheat grass seed production. Agronomy J. 51: 515-518. Farnham M.W., Grusak M.A., Wang M. 2000. Calcium and magnesium concentration of inbred and hybrid broccoli heads. J. Amer. Soc. Hortic. Sci. 125 (3): 344-349. Garvin D.F., Welch R.M., Finley J.W. 2006. Historical shifts in the seed mineral micronutrient concentration of US hard red winter wheat germplasm. J. Sci. Food Agric. 86: 2213

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Varietal performance and correlation of okra pod yield and yield components

., Olawuyi, O. J., Abdulmaliq, S. Y., Ige, S. A., Mahamood, J., Azeez. M. A. Afolabi, M. S. (2014), Yield performance and adaptation of early and intermediate droughttolerant maize genotypes in Guinea savanna of Nigeria. Sarhad J. Agric. 30(1), 53‒66. [15] Bello, O. B., Olawuyi, O. J. (2015). Gene action, heterosis, correlation and regression estimates in developing hybrid cultivars in maize. Trop. Agric. 92(2), 102‒117. [16] Adekoya, M. A., Ariyo, O. J., Kehinde, O. B., Adegbite, A. E. (2014), Correlation and path analyses of seed yield in

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Heterosis and heterobeltiosis of yield associated traits in rapeseed cultivars under limited nitrogen application

characters in rapeseed. In Suranaree Journal of Science and Technology , vol. 17 , 2010, pp. 39-47. KATIYAR, R.K. - CHAMOLA, R. - CHOPRA, V.L. 2000. Heterosis and combining ability in Indian mustard ( Brassica juncea ). In Indian Journal of Genetics and Plant Breeding , vol. 60 , 2000, no. 4, pp. 557-559. KHAN, S. - FARHATULLAH, I. - KHALLIL, H. 2008. Phenotypic correlation analysis of elite F3 : 4 Brassica populations for quantitative and qualitative traits. In ARPN Journal of Agricultural and Biological Science , vol. 3 , 2008, pp

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Wetland water quality assessment in cold and dry regions (Case study: Choghakhor wetland, Iran)


Wetlands are among the most productive ecosystems in the world. They provide numerous beneficial services for people and wildlife. The most important services are improving water quality and wildlife habitats. The complex, dynamic relationships between the organisms inhabiting the wetland environment are called food webs. Both water quality and high levels of nutrients are crucial for improvement of the food web. Many bird species rely on wetlands for food, water and shelter, especially during migration and breeding. The water quality of Choghakhor Wetland was evaluated from April 2010 to March 2011, by measuring some physicochemical parameters and doing benthic macroinvertebrate analysis. Sampling was done in 3 replicates with alternation of 45 days. The resolute was divided into more than 25 identified macroinvertebrate families which belonged to 5 classes and 12 orders. The correlation between biological indices and water quality parameters showed that bioindicators and community indices could be used for the evaluation of water quality in this wetland. The water quality of Choghakhor Wetland was classified as average or in the severe pollution class, according to these indices. It can be concluded that bird migration is at risk due to the decline in the overall health of the Choghakhor Wetland ecosystem.

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Evaluation of meteorological drought using the Standardized Precipitation Index (SPI) in the High Ziz River basin, Morocco

, Special report on emissions scenarios (SRES). A special report of Working Group III of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 595 pp. [IPCC] Intergovernmental Panel on Climate Change, 2007, Climat Change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the IPCC, Cambridge University Press, Cambridge, 1009 pp. Kendall M.G., 1948, Rank correlation methods, Griffin, London, 160 pp. Lin Y.P., Hong N.M., Wu P.J., Wu C.F., Verburg P.H., 2007, Impacts of land

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Effects of the European Common Agricultural Policy on Preserving Biodiversity: Farmland Birds in Slovenia

Academic references [1] Baltagi, B. H., Song, S. H., & Koh, W. (2003). Testing panel data regression models with spatial error correlation. Journal of Econometrics 117, 123–150. DOI: 10.1016/S0304-4076(03)00120-9. [2] Batáry, P., Dicks, L. V., Kleijn, D. & Sutherland, W. J. (2015). The role of agri-environment schemes in conservation and environmental management. Conservation Biology 29(4), 1006–1016. DOI: 10.1111/cobi.12536. [3] Benayas, J. R., Martins, A., Nicolau, J. M. & Schulz, J. J. (2007). Abandonment of agricultural land: an overview

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Compared impact of compost and digestate on priming effect and hydrophobicity of soils depending on textural composition

application is unforeseeable in the Ss. It can therefore be assumed that texture-dependent differences in the relationship between the BAS and the RI exist, because positive correlations between reduced wettability and increasing microbial activity can be detected in the Ss, but not in Ut3. This positive correlation is also described by Feeney et al. (2006) and Annabi et al. (2007) . The enhanced microbial activity may result in an increased production of exudates and mucilage which may provoke hydrophobic conditions in the Ss. The increment of microbial biomass may lead

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Effect of seed size on soil cover, yield, yield components and nitrogen uptake of two-row malting barley

larger seeds may enable a higher germination can be drawn from the results. Guberac et al. (1998) have shown for oat and Gross (1984) for six monocarpic perennial plants that larger seed size resulted in higher germination (due to the larger endosperm). With increasing seed size, higher soil coverage occurred in the first year, probably due to higher emergence and/or higher early vigor of seedlings and plants emerging from larger seeds. A positive correlation of seedling growth with seed size (and seed N content) has been shown for maize ( Krug, 1969 ). Soil

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Influence of tillage depth of a cultivator on the incorporation of crop residues of winter barley in a chernozem soil

hand, observed no significant correlation between the TD of a cultivator (0.05, 0.10, and 0.15 m) and the degree of soil coverage. Figure 1 shows the marked differences in results with the two methods: The line transect method resulted in a high degree of coverage with all three TD, while the mean values (MV) of the image analysis were significantly lower for all three TD. In the studies of Walther (2009) and Winnige et al. (1998) , the line transect method also resulted in a higher degree of soil coverage compared to image analysis. Pforte (2010) explained

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Annual growth trends and response to weather of larch trees at Järvselja Training and Experimental Forest Center stands (Estonia)

larch ( Larix Decidua Mill.) in Lithuania. – Baltic Forestry, 16(2), 187–1993. Voge, R.M., Shallcross, A.L. 1996. The moving blocks bootstrap versus parametric time series models. – Water Resource Research, 32(6), 1875–1882. Wilczyński, S.B., Kulej, M. 2013. The influence of climate on the radial increment of larches of different provenances on the basis of the experiment in the Carpathian Mountains in Southern Poland. – European Journal of Forest Research, 132, 919–929. Zang, C. 2015. Package‘bootRes’. Bootstrapped Response and Correlation

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