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Research Article Open access CC BY 4.0

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

K. S. Ganesh, Biswarup Mehera, Prateek Kumar

International Journal of Environment and Climate Change · pp. 252–258 · Published 3 May 2023

10.9734/ijecc/2023/v13i71874

Abstract

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.

Organic nutreints varities; growth yield yield validation using SPSS model

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