International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 6

Statistical analysis of field data using correlation and regression analysis for cluster bean crop under conservation agriculture


Author(s): Rakesh Dawar, RS Bana, Akshay Kumar Yogi, Faris P, Smruti Ranjan Padhan, Deepak Kumar Meena and Shital Kumar

Abstract:
A field experiment was conducted in New Delhi, India, 2021, under rainfed semi-arid conditions to evaluate the impact of three tillage practices, and six levels of sulphur on productivity and soil health. The study focused on correlation of different yield and yield attributes with soil biological properties. Current study experiment made of three tillage practices like: ZT+R, ZT+R and CT while six level of sulphur viz, S1: Control S2: RDS 30 kg/ha S, S3: Foliar application of ATS 5m/L once S4: foliar application of ATS 10m/L once S5: Foliar application of ATS 5m/L twice and S5: Foliar application of ATS 10m/L twice. Among Tillage practices ZT+R showing significantly higher yield and yield attributes characters as well as soil enzymes while it was also interrelated with CT. Sulphur management also significantly gave higher results with soil application of sulphur 30kg/ha that is at par with foliar application of ATS 10m/L twice. Among the foliar application of ATS, foliar applied ATS 10m/L twice recorded significantly higher yield and soil character compared to remaining foliar application of ATS. The study also revealed that yield attributes are positively correlated with pod yield and final output. Regression analysis showed a negative trend of these parameters cluster per plant and number of pods per cluster. Hence, the ZT+R showed significant improvement in yield and soil biological properties with soil application of 30 Kg/ha S as well as foliar fertilization of ATS twice.


Pages: 501-505 | Views: 87 | Downloads: 2

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How to cite this article:
Rakesh Dawar, RS Bana, Akshay Kumar Yogi, Faris P, Smruti Ranjan Padhan, Deepak Kumar Meena, Shital Kumar. Statistical analysis of field data using correlation and regression analysis for cluster bean crop under conservation agriculture. Int J Stat Appl Math 2023;8(6S):501-505.

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