New late-season navel orange varieties evaluated for quality characteristics
نویسندگان
چکیده
منابع مشابه
Evaluation of 28 Navel Orange Varieties in Florida
3) Gr£ff/ G;,W" Culture and varieties of Siamese Pummelos. Calif. Citrograph 15, 442 (1930). 4) Hagin, j.# Influence of soil aggregation on plant growth. Soil Sci. 74, 471-478 (1952). 5) Jones, W. W., Pearson, H. E.# Parker, E. R. and Huberty, M. R., Effect of sodium in fertilizer and irrigation water on concentration in leaf and root tissues of citrus trees. Proc. Am. Soc. Hort. Sci. 60, 65-70...
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a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere without the permission of the Author. Abstract Each year, the world's top orange producers output millions of oranges for human consumption. This production is projected to grow by as much as 64 million in 2010 and so the demand for fast, low-cost and precise a...
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Navel orange is one of the characteristic agricultural products in the middle region of china. The traceability system for navel orange can enhance consumer confidence due to the “stained navel orange” incident. Research on the navel orange traceability chain is the foundation and premise of building the traceability system. Based on the analyses of whole food chain of navel orange from origin ...
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Fluoride-polluted navel orange leaves, Citrus sinensis (Linn.) Osbeck, were fractionated into the subcellular components in hexane/carbon tetrachloride mixtures having various densities. Fluoride was determined at each fraction. Analyses were also made for the subcellular distribution of chlorophyll, nitrogen, and DNA to assess the extent of cross-contamination of each component. The fraction c...
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In order to predict storage life of navel orange, The model for the variable regularity of total soluble sugar, total acidity, vitamin C, soluble solids, the sugar-acidity ratio in navel orange according to storage time was established based on BP artificial neural network . The results show that the multi-factor BP artificial neural network model has better predicted effect than single-factor ...
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ژورنال
عنوان ژورنال: California Agriculture
سال: 2007
ISSN: 0008-0845
DOI: 10.3733/ca.v061n03p138