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    Genetic analysis indicate superiority of perfomance of cape goosberry (Physalis peruviana L.) hybrids

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    The use of hybrids as a new type of cape gooseberry (Physalis peruviana L.) cultivars could improve yield in this crop, but little or no information is available on hybrid perfomance. We studied several vegetative characters, yield, fruit weight and fruit shape, soluble solids content (SSC), titratable acidity (TA) and ascorbic acid content (AAC) in three hybrids of cape gooseberry and their parents grown outdoors and in a glasshouse. The highest yields were obtained with hybrids, specially in a glasshouse. Interaction dominance environment for yield was very important; a higher dominance effect was detected in the glasshouse, than that observed outdoors. Quality characters were highly affected by the environment and showed variable results for the different families. For fruit composition traits, the additive and additive environment interactions were most important. Broad-sense heritability for all characters was high to medium (0.48-0.91), indicating that a high response to selection would be expected. Hybrids can improve cape gooseberry yield without impairing fruit quality.Leiva-Brondo, M.; Prohens Tomás, J.; Nuez Viñals, F. (2001). Genetic analysis indicate superiority of perfomance of cape goosberry (Physalis peruviana L.) hybrids. Journal of New Seeds. 3(3):71-84. doi:10.1300/J153v03n03_04718433Abak, K., Güler, H. Y., Sari, N., & Paksoy, M. (1994). EARLINESS AND YIELD OF PHYSALIS (P. IXOCARPA BROT. AND P. PERUVIANA L.) IN GREENHOUSE, LOW TUNNEL AND OPEN FIELD. Acta Horticulturae, (366), 301-306. doi:10.17660/actahortic.1994.366.37Kang, M. S. (1997). Using Genotype-by-Environment Interaction for Crop Cultivar Development. Advances in Agronomy Volume 62, 199-252. doi:10.1016/s0065-2113(08)60569-6Klinac, D. J. (1986). Cape gooseberry (Physalis peruviana) production systems. New Zealand Journal of Experimental Agriculture, 14(4), 425-430. doi:10.1080/03015521.1986.10423060Mather, K., & Jinks, J. L. (1977). Introduction to Biometrical Genetics. doi:10.1007/978-94-009-5787-9Mazer, S. J., & Schick, C. T. (1991). Constancy of population parameters for life history and floral traits in Raphanus sativus L. I. Norms of reaction and the nature of genotype by environment interactions. Heredity, 67(2), 143-156. doi:10.1038/hdy.1991.74Nyquist, W. E., & Baker, R. J. (1991). Estimation of heritability and prediction of selection response in plant populations. Critical Reviews in Plant Sciences, 10(3), 235-322. doi:10.1080/07352689109382313Pearcy, R. W. (1990). Sunflecks and Photosynthesis in Plant Canopies. Annual Review of Plant Physiology and Plant Molecular Biology, 41(1), 421-453. doi:10.1146/annurev.pp.41.060190.002225Péron, J. Y., Demaure, E., & Hannetel, C. (1989). POSSIBILITIES OF TROPICAL SOLANACEAE AND CUCURBITACEAE INTRODUCTION IN FRANCE. Acta Horticulturae, (242), 179-186. doi:10.17660/actahortic.1989.242.24Proctor, F. J. (1990). THE EUROPEAN COMMUNITY MARKET FOR TROPICAL FRUIT AND FACTORS LIMITING GROWTH. Acta Horticulturae, (269), 29-40. doi:10.17660/actahortic.1990.269.

    Chapter 14 Electrical Properties of Soils

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    This chapter discusses the electric and electromagnetic methods that are used to evaluate the electrical properties of soils. Electric techniques exploit the flow of a steady-state current in the subsurface, while electromagnetic methods rely on the phenomenon of electromagnetic induction and the wave character of the electromagnetic field. The electrical techniques and associated properties are: (a) spontaneous potential methods in which the formation of water resistivity is determined; (b) resistivity methods in which the apparent resistivity can be calculated using Wenner, Schlumberger, and dipole-dipole arrays; and (c) specific conductivity methods in which the soil-specific conductivity is calculated by incorporating in the analysis of soil geometric factors, such as fabric anisotropy, tortuosity, resistance to solid matrix, bulk fluid phase, and electric double layer. Various parameters that influence the measured electrical properties are also presented, such as the nature of the soil composition (particle size distribution, mineralogy), soil structure (porosity, pore size distribution, connectivity, and anisotropy), moisture content, temperature, concentration of dissolved species in the pore-solution, wet-dry cycles, age of contaminants, and mineral formation due to biodegradation. Finally, the extraction of aquifer hydraulic properties such as porosity and hydraulic conductivity, from the measured electrical properties is discussed
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