Showing papers by "Indian Agricultural Statistics Research Institute published in 2006"
TL;DR: In this article, a simulation model was developed using semi-empirical approach and dimensional analysis method for determining geometry of wetted soil zone under line sources of water application placed below the soil surface.
111 citations
TL;DR: SNPs Met235Thr in angiotensinogen, T>C (-344) in aldosterone synthase, and G>A (-1903) in chymase genes are significantly associated with diabetic chronic renal insufficiency in Indian patients and warrant replication in larger sample sets.
Abstract: Renal failure in diabetes is mediated by multiple pathways. Experimental and clinical evidences suggest that renin-angiotensin-aldosterone system (RAAS) has a crucial role in diabetic kidney disease. A relationship between the RAAS genotypes and chronic renal insufficiency (CRI) among type 2 diabetes subjects has therefore been speculated. We investigated the contribution of selected RAAS gene polymorphisms to CRI among type 2 diabetic Asian Indian subjects. Twelve single nucleotide polymorphisms (SNPs) from six genes namely-renin (REN), angiotensinogen (ATG), angiotensin converting enzyme I (ACE), angiotensin II type 1 receptor (AT1) and aldosterone synthase (CYP11B2) gene from the RAAS pathway and one from chymase pathway were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method and tested for their association with diabetic CRI using a case-control approach. Successive cases presenting to study centres with type 2 diabetes of ≥2 years duration and moderate CRI diagnosed by serum creatinine ≥3 mg/dl after exclusion of non-diabetic causes of CRI (n = 196) were compared with diabetes subjects with no evidence of renal disease (n = 225). Logistic regression analysis was carried out to correlate various clinical parameters with genotypes, and to study pair wise interactions between SNPs of different genes. Of the 12 SNPs genotyped, Glu53Stop in AGT and A>T (-777) in AT1 genes, were monomorphic and not included for further analysis. We observed a highly significant association of Met235Thr SNP in angiotensinogen gene with CRI (O.R. 2.68, 95%CI: 2.01–3.57 for Thr allele, O.R. 2.94, 95%CI: 1.88–4.59 for Thr/Thr genotype and O.R. 2.68, 95%CI: 1.97–3.64 for ACC haplotype). A significant allelic and genotypic association of T>C (-344) SNP in aldosterone synthase gene (O.R. 1.57, 95%CI: 1.16–2.14 and O.R. 1.81, 95%CI: 1.21–2.71 respectively), and genotypic association of GA genotype of G>A (-1903) in chymase gene (O.R. 2.06, 95%CI: 1.34–3.17) were also observed. SNPs Met235Thr in angiotensinogen, T>C (-344) in aldosterone synthase, and G>A (-1903) in chymase genes are significantly associated with diabetic chronic renal insufficiency in Indian patients and warrant replication in larger sample sets. Use of such markers for prediction of susceptibility to diabetes specific renal disease in the ethnically Indian population appears promising.
90 citations
TL;DR: In this article, an attempt was made to optimise blanching time, preservative and its pre-treatment concentration levels for solar dehydrated cauliflower and the data were analysed using the procedure of one-way classified ANOVA using PROC GLM of SAS.
11 citations
TL;DR: It is shown that fitted model, based on minimum Akaike information criterion (AIC), exhibits a threshold behaviour and attempts are made to obtain optimal predictor for out-of-sample data based on fitted SETAR model, which is found to be quite satisfactory.
Abstract: We thoroughly study a very important family of nonlinear timeseries models, viz. Self exciting threshold autoregressive (SETAR) types of models. A heartening feature of this family is that it is capable of describing cyclical data. As an illustration, SETAR models are then applied to country's lac export data during the period 1900-2000, obtained from Annual reports of Shellac Export Promotion Council, Kolkata. It is shown that fitted model, based on minimum Akaike information criterion (AIC), exhibits a threshold behaviour. Finally, attempts are made to obtain optimal predictor for out-of-sample data based on fitted SETAR model, which is found to be quite satisfactory.
8 citations
Journal Article•
TL;DR: In this paper, a study was conducted to evaluate performance of surface drip irrigation (SDI) used for irrigating okra crop during 2003 and 2004, where the parameters evaluated were pressure-discharge relationship of emitters, and uniformity of water application including discharge variation, coefficient of variation, uniformity coefficient, statistical uniformity, and distribution uniformity.
Abstract: Subsurface drip irrigation (SDI) is application of water below soil surface through the emitters, with discharge rates generally in the same range as surface drip irrigation. Performance of SDI with respect to uniformity of water and chemical application in a crop is an essential component for efficient management of SDI. A study was conducted to evaluate performance of SDI used for irrigating okra crop during 2003 and 2004. The parameters evaluated were pressure -discharge relationship of emitters, and uniformity of water application including discharge variation, coefficient of variation, uniformity coefficient, statistical uniformity, and distribution uniformity. The emitter discharge exponent was found to be 0.56 for inbuilt labyrinth type emitters used in SDI The maximum values of standard deviation, variation and coefficient of variation of emitter flow rates were found to be 0.057, 0.08 and 0.025, respectively. Analysis revealed that statistical uniformity, distribution uniformity and uniformity coefficient were more than 90% during two years of study. Based on these parameters, performance of SDI was found excellent during study period.
6 citations
11 Dec 2006
TL;DR: In this article, an attempt has been made to estimate area under paddy crop in a district of Meghalaya by using sampling approach devised by integrating remote sensing, GIS and ground survey data taking into account the problem of hilly regions mentioned above.
Abstract: Crop acreage estimation in hilly regions is till date a challenge for the remote sensing community due to the problems of undulating topography, inaccessibility to vast areas, smaller field size, practice of shifting cultivation, accounting for area falling under hill shades and valleys. Remote sensing alone may not be able to provide reliable estimate of crop acreage in these areas. In addition to this if these regions are humid or tropical for which it is difficult to get cloud free data then the problem becomes even more complicated. Many studies has been conducted in past for cloud/shadow removal but to estimate the crop area under the cloud cover has not been attempted. In this study at attempt has been made to estimate area under paddy crop in a district of Meghalaya by using sampling approach devised by integrating remote sensing, GIS and ground survey data taking into account the problem of hilly regions mentioned above. In addition to this technique for estimating the area under cloud /shadow using the previous year data and only on the basis of current year data is also proposed.
1 citations
Journal Article•
TL;DR: In this article, a pilot study was undertaken with the objective of assessing the harvest losses at various inland fishery resources in Andhra Pradesh, and Hirakud reservoir in Orissa, and the extent of losses were found to be 2.40% in freshwater aquaculture, 1.86% in brackishwater aquaciculture, 6.52 to 8.89% in reservoir fisheries, 3.69 to 4.48% at landing centres of lake, 8.56 to 13.94% in riverine fisheries and 6.32% in estuarine fisheries
Abstract: To properly plan loss reduction strategies, information on the magnitude of losses is important. The up-to-date data on harvest and post harvest losses in inland fisheries from different sources are not available in Indian context. The need of such estimates has become all the more important. Hence, a pilot study was undertaken with the objective of assessing the harvest losses at various inland fishery resources in East Godavari, West Godavari and Khammam districts in Andhra Pradesh, and Hirakud reservoir in Orissa. The extent of losses were found to be 2.40% in freshwater aquaculture, 1.86% in brackishwater aquaculture, 6.52 to 8.89% in reservoir fisheries, 3.69 to 4.48% at landing centres of lake, 8.56 to 13.94% in riverine fisheries and 6.32% in estuarine fisheries. An effort has also been made to identify the causes for these losses, which have been discussed in detail in this paper.
1 citations
Journal Article•
TL;DR: Grain yield data from a long-term experiment on integrated nutrient management in sorghumwheat cropping sequence conducted during 1984-85 to 2002-03 at Akola centre have been analyzed.
Abstract: Grain yield data from a long-term experiment on integrated nutrient management in sorghumwheat cropping sequence conducted during 1984-85 to 2002-03 at Akola centre have been analyzed. Analysis revealed that year, treatment and replication effects were highly significant and so were the two-factor interactions except the treatment x replication interaction. The treatment with 50% recommended NPK dose through fertilizers + 50% N through farmyard manure in kharif and 100% recommended NPK dose through fertilizers in rabi came out to be the best treatment for the centre in terms of giving highest grain yield for both the crops together. However, a declining trend in the yield of both the crops was observed under this treatment. Moreover, high amount of rainfall had yield depressing effect on sorghum and wheat and increased number of fallow days adversely affected the sorghum yield. The number of irrigations had positive effect on the yield of wheat crop.