2015
DOI: 10.1016/j.scienta.2015.09.054
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Influence of growth stage specific water stress on the yield, physico-chemical quality and functional characteristics of tomato grown in shallow basaltic soils

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Cited by 25 publications
(26 citation statements)
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“…Total carotenoids [7] , β-carotene [8] , total starch [11] , total and reducing sugar, protein [9] , superoxide dismutase (SOD) [8] , catalase (CAT), peroxidase (POX), glutathione reductase [12] , ascorbate peroxidase (APOX) and mineral nutrient [8] were estimated using standard procedures. Fresh samples of peel and pulp were used for the estimation of phenols, flavonoids, secondary metabolites, minerals and other proximate analyses.…”
Section: Quantitative Analysis Of Secondary Metabolitesmentioning
confidence: 99%
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“…Total carotenoids [7] , β-carotene [8] , total starch [11] , total and reducing sugar, protein [9] , superoxide dismutase (SOD) [8] , catalase (CAT), peroxidase (POX), glutathione reductase [12] , ascorbate peroxidase (APOX) and mineral nutrient [8] were estimated using standard procedures. Fresh samples of peel and pulp were used for the estimation of phenols, flavonoids, secondary metabolites, minerals and other proximate analyses.…”
Section: Quantitative Analysis Of Secondary Metabolitesmentioning
confidence: 99%
“…Phenolic compounds from fruit peel and pulp extract were estimated according to the method outlined by Kumar et al [8] . In brief, 1 g of fresh sample was extracted using 80 % aqueous methanol and 1 ml of the sample was mixed with 1 ml of Folin-Ciocalteau phenol reagent and 1 ml of 20 % anhydrous sodium carbonate.…”
Section: Estimation Of Total Phenolic Compoundsmentioning
confidence: 99%
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“…The tomatoes water requirement in greenhouse is affected by the meteorological factors and its own growth and development status. Kumar et al [9] found that water stress significantly affected tomato dry matter accumulation and total soluble solids content. Water stress occurred throughout the growing season, and both dry matter content and sugar concentration are significantly increased during fruit ripening.…”
Section: Related Workmentioning
confidence: 99%
“…Based on previous researches [8][9][10][11][12][13][14][15][16], this paper combined fuzzy theory with neural network to make decisions for water-saving irrigation with T-S fuzzy neural network based on genetic optimization for greenhouse tomatoes. This method overcomes the problem of low accuracy in fuzzy system, and it has better effect than the system which only uses the artificial neural network (ANN).…”
Section: Related Workmentioning
confidence: 99%