The Journal of Research ANGRAU

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DEVELOPMENT OF PHYTOSTEROL ENRICHED FLAVOURED MILK Bouic, P.J. 2001. The role of phytosterols and phytosterolins in immune modulation: a review of the past 10 years. Current opinion in clinical nutrition and metabolic care. 4: 471–475. Hallikainen M.A., Sarkkinen, E.S and Uusitupa, M.I.J. 2000. Plant stanol eaters affect serumcholesterol concentrations of hypercholesterolemic men and women in a dose dependent manner.Journal of Nutrition. 130(4): 767-776. Jones, P.J.H and Abumweis, S.S. 2009. Phytosterol as functional food ingredients: linkages to cardiovascular disease and cancer. Current Opinion in Clinical Nutrition and Metabolic Care. 12: 147-151. Jones P.J., Raeini-Sarjaz, M and Ntanios, F.Y. 2000. Modulation of plasma lipid levels and cholesterol kinetics by phytosterol versus phytostanol esters. Journal of Lipid Research. 41(5): 697-705. Katan, M.B., Grundy, S.M., Jones, P., Law, M., Miettinen, T and Paoletti, R. 2003. Efficacy and safety of plant stanols and sterols in the management of blood cholesterol levels. Mayo Clinic Proceedings. 78: 965-978. Laakso, P. 2005. Analysis of sterols from various food matrices. European Journal of Lipid Science and Technology. 107: 402-410. Maki, K.C., Davidson, M.H and Umporowicz, D.M. 2001. Lipid responses to plant-sterolenriched reduced-fat spreads incorporated into a National Cholesterol Education Program Step I diet. American Journal of Clinical Nutrition. 74(1): 33-43. Phillips, K.M., Ruggio, D.M and Ashraf-Khorassani, M. 2005. Phytosterol composition of nuts and seeds commonly consumed in the United States. Journal of Agricultural Food Chemistry. 53: 9436-9445. Piironen, V and Lampi, A.M. 2004. Occurrence and levels of phytosterols in foods. In: Phytosterols as Functional Food Components and Nutraceuticals. Ed. P. C. Dutta, Marcel Dekker, Inc., New York (USA). 1–32. Poteau, E.B., Monnard, I.E., Piguet-Welsch, C., Groux, M.J.A., Sagalowicz, L and Berger, A. (2003). Non-esterified plant sterols solubilized in low-fat milks inhibit cholesterol absorption. European Journal of Nutrition. 42: 154–164. Rozner, S and Garti, N. 2006. The activity and absorption relationship of cholesterol and phytosterols. Colloids and surfaces. A physicochemical and engineering aspects. 282-435. Van Rensburg, S.J., Daniels, W.M., Van Zyl, J.M and Taljaard, J.J. 2000. A comparative study of the effects of cholesterol, beta-sitosterol, betasitosterol glucoside, dehydroe piandrosterone sulphate and melatonin on in vitro lipid peroxidation. Metabolic brain disease. 15(4): 257-265. 136
Research Notes J.Res. ANGRAU 41(1) 132-134, 2013 CORRELATION AND PATH ANALYSIS FOR YIELD AND ITS COMPONENTS IN RICE (Oryza Sativa L.) C.MANIKYA MINNIE, T.DAYAKAR REDDY and CH.SURENDER RAJU Department of Genetics and Plant Breeding, College of Agriculture, Acharya N.G.Ranga Agricultural University, Rajendranagar, Hyderabad-500030 Date of Receipt : 07.02.2012 Date of Acceptance : 07.01.2013 Path analysis measures the direct and indirect effects of independent variables on dependent variables. Knowledge of cause and effect relationship makes selection more effective. In the present investigation an attempt was made to find out the effects of component traits on grain yield of rice. The experimental material comprising of 81 genotypes (including 3 checks) obtained from different sources was cultivated during kharif, 2008 at Rice section farm, Agriculture Research Institute, Rajendranagar, Hyderabad. All the genotypes were sown separately in the nursery on raised beds. Thirty days old seedlings of each genotype were transplanted in five rows of 6 m length by adopting a spacing of 15 cm between plants and 15cm between rows in a Randomized Block Design replicated twice. Recommended agronomic practices and plant protection measures for raising a healthy crop were taken up during experiment. Five plants of each genotype in each replication selected randomly from central rows were used to record data. The mean values were considered for statistical analysis. Genotypic correlations in general were high as compared to their phenotypic correlations indicating strong inherent association between the characters which might be due to masking or modifying effects of environment. The correlation analysis indicated that grain yield was significantly associated with number of productive tillers per plant, plant height, number of grains per panicle and panicle length. Similar kind of association was reported by Satish Chandra et al. (2009) for number of productive tillers per plant, number of grains per panicle and panicle length and Madhavi Latha (2002) for plant height. The data indicated that days to 50 percent flowering and 1000 gram weight had no association with grain yield. The characters that showed positive and significant association with grain yield could be considered as criteria for selection for yield improvement as these were mutually and directly associated with grain yield. Days to 50 per cent flowering had significant positive association with number of grains per panicle. Similar result was reported by Madhavi Latha (2002). Plant height registered positive and significant association with number of productive tillers per plant, panicle length, 1000 grain weight and number of grains per panicle, indicating that the increase in panicle length and number of grains per panicle and 1000 grain weight can be possible with an increase in plant height. Similar results were also obtained by Janardhan et al. (2001) for number of productive tillers per plant, panicle length and number of grains per panicle and Yogameenakshi et al. (2004) for 1000 grain weight. Number of productive tillers per plant was positively and significantly correlated with number of grains per panicle and panicle length. These results are in consonance with the earlier findings of Janardhanam et al. (2001). It showed positive correlation with 1000 grain weight. Panicle length had high significant positive association with 1000 grain weight and number of grains per panicle. Similar results were also obtained by Yogameenakshi et al. (2004). email: minnie_chitturi@yahoo.co.in 137
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CONTENTS PART I : PLANT SCIENCE Eff
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J.Res. ANGRAU 41(1) 1-4, 2013 EFFEC
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EFFECT OF FOLIAR APPLICATION OF NPK
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J.Res. ANGRAU 41(1) 5-13, 2013 NUTR
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NUTRIENT UPTAKE BY RICE CROP UNDER
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LAKSHMI et al Fig 1. Changes in C/N
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LAKSHMI et al Changes in C/N ratio
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LAKSHMI et al Table 3. Changes in h
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J.Res. ANGRAU 41(1) 20-29, 2013 INF
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PRASAD and PRASADINI of bulk densit
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PRASAD and PRASADINI to as high as
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PRASAD and PRASADINI Table 4 . Infl
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PRASAD and PRASADINI Table 8. Influ
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J.Res. ANGRAU 41(1) 30-38, 2013 GEN
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VEMANNA et al The range in mean val
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VEMANNA et al grain yield per plant
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VEMANNA et al 41
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VEMANNA et al Singh, S. P and Khan,
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RAMANA et al RESULTS AND DISCUSSION
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J.Res. ANGRAU 41(1) 42-46, 2013 A S
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RAJANNA et. al. Table 2. Reasons fo
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RAJANNA et al the present findings
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NARASIMHA et al Table 1. Proximate
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NARASIMHA et al Maynard, L., Lossli
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RAMANA et al with small follicles m
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RAMANA et al Characteristics of fol
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Research Notes J.Res. ANGRAU 41(1)
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KIRTHY et al Akhtar et al., 2008; S
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KIRTHY et al El Gharras H. 2009. Po
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SANDYARANI et al Weed parameters li
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SANDYARANI et al Table 2. Influence
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KUMAR et al Table 2. Effect of seed
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DEEPAK et al Table 2 Price spread a
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YAMINI et al Table 3. Estimates of
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YAMINI et al coupled with high per
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Page 89 and 90: ABIRAMI et al Socio-economic Impact
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Page 97 and 98: VEMANNA et al total biomass, fresh
Page 99 and 100: RAO et al Table 1. Plant height, nu
Page 103 and 104: DEVI et al S.No Category Frequency
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Page 107 and 108: NIRMALA and VASANTHA earliness in a
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Page 115 and 116: NIRMALA et al weight of pods per pl
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Page 125 and 126: PUNYAVATHI and VIJAYALAKSHMI REFERE
Page 127 and 128: KATTEL et al Table 1. Item Analysis
Page 131 and 132: RADHIKA et al Thus, the results of
Page 133 and 134: RAJU et al estimated daily dietary
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Page 141 and 142: Statement about ownership and other
Page 143 and 144: GUIDELINES FOR THE PREPARATION OF M
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