Impact of Organic Nutrient Sources on Growth and Yield of Rice Varieties (Oryza sativa L.) and Yield Validation Using SPSS Model

A field experiment was conducted during Kharif 2022 at Crop Research Farm, Department of Agronomy, SHUATS, Prayagraj (U.P) to determine the “Impact of organic nutrient sources on growth and yield of rice varities (Oryza sativa L.) and Yield Validation Using SPSS Model”. The experiment was laid out in Randomized Block Design comparising of 9 treatment which include 3 varieties RNR-15048,BPT-5204 AND NDR-359, 4 organic manures, Vermicompost 10(t/ha) and Panchagavya 6%+ Vermicompost 5(t/ha)+ Panchagavya 3%. Whose effect is observed in varieties rice. The treatmentsconsisted of organic nutrient sources and rice varities. [Panchagavya 6%+ Vermicompost 10t/ha, Panchagavya 3%+Vermicompost 5t/ha] and the rice varities [RNR-15048, BPT- 5204, NDR-359]. Whose effect is observed in paddy. The results observed that the treatment with application of NDR-359 + vermicompost 5t/ha + panchagavya 3% recorded higher plant height, number of tillers/hill, plant dry weight(g), CGR,RGR and yield parameter number of panicles/hill, number of grains/panicles, number of grains, test weight, grain yield, straw yield and harvest index. Treatment 9 has shown 44.62% increase over predicted yield whereas there was 28.89% increase in treatment 8 over predicted yield through SPSS model. From the basis of one year experimentation, it is concluded that Panchagavya 3% + Vermicompost 5(t/ha) was found more productive for the variety NDR-359.

Epidemiology of disability in a rural community of Karnataka.

OBJECTIVES: To determine the prevalence and pattern of disability in all age groups in a rural community of Karnataka. METHODS: A community-based cross-sectional study was conducted during January-December 2004 among 1000 study subjects of all age groups selected randomly from four villages under rural field practice area of a teaching institution. Subjects were interviewed and examined using a predesigned schedule. Percentage prevalence, chi square test and multiple logistic regression analysis were used for statistical analysis. RESULTS: The prevalence of disability was found to be 6.3%. Both physical and mental disabilities are of great concern in this area. 80% of the disabled had multiple disabilities. Knowledge and occupation plays a major role as determinants of disability. Chronic medical conditions are also more common among disabled.