Quantitative Assessment of Post-Harvest Losses of Guava (Psidium guajava) in Rajasthan

Vikash^1*, Satyveer Singh Meena¹, Amita Sharma¹, Susheel Kumar ², R. K. Verma³ and V. S. Acharya⁴

¹Institute of Agri Business Management, Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India.

²Landscape Cell, Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India.

³Department of Extension Education, Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India.

⁴College of Agriculture, Swami Keshwanand Rajasthan Agricultural University, Bikaner, Rajasthan, India.

Corresponding Author E-mail: vikash.kayla@gmail.com

DOI : http://dx.doi.org/10.12944/CARJ.11.3.31

Abstract:

The present research was done for the quantitative assessment of post-harvest losses in guava. Factors responsible for the post-harvest losses in guava were identified and evaluated. The study was performed in Sawai Madhopur district of Rajasthan because the district has the highest guava production (27452 MT) among other districts of Rajasthan. The research was performed during the year of 2022. The data was taken from 40 farmers through judgmental sampling. Modified average formula was employed to quantify the post-harvest losses in guava by taking consideration of all types of losses at 5 level (collection, sorting, grading, packaging and transportation). Friedman’s test was employed to test the difference between factors responsible for the post-harvest losses in guava. The overall post-harvest losses in guava at farm level was 14.05 per cent at district level which was comparatively higher than NABCONS 2022 study on post-harvest losses. The post-harvest losses during collection & transportation to storage house (1.91%), sorting (7.50%), grading (1.73%), packaging (1.32%) and transportation (1.59%) operations at farm level majorly contributed to the post-harvest losses in guava. The highest loss (7.50%) was found during sorting operation among other operation at farm level. Friedman’s test results reflected that inappropriate sorting & grading, heavy rainfall, insect infestation, disease infection and market infrastructure were the major contributing factors for the post-harvest losses in guava.

Keywords:

Friedman’s test; Guava; Post-harvest losses; Quantitative assessment

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