Author
Listed:
- Ram Datta Bhatta
(Post Graduate Program, Institute of Agriculture and Animal Science, Tribhuvan University, Kathmandu 44600, Nepal)
- Mahendra Paudel
(University Institute of Agricultural Sciences, Chandigarh University, Gharua 140413, India)
- Kishor Ghimire
(Post Graduate Program, Institute of Agriculture and Animal Science, Tribhuvan University, Kathmandu 44600, Nepal)
- Khem Raj Dahal
(Post Graduate Program, Institute of Agriculture and Animal Science, Tribhuvan University, Kathmandu 44600, Nepal)
- Lal Prasad Amgain
(Faculty of Agriculture, Far Western University, Kailali 10900, Nepal)
- Samiksha Pokhrel
(College of Natural Resource Management, Agriculture and Forestry University, Chitwan 44200, Nepal)
- Samikshya Acharya
(Institute of Agriculture and Animal Science, Prithu Technical College, Tribhuvan University, Dang 22400, Nepal)
- Bishnu Prasad Kandel
(Purbanchal Agriculture Campus, Agriculture and Forestry University, Jhapa 57200, Nepal)
- Krishna Aryal
(Institute of Agriculture and Animal Science, Rampur Campus, Chitwan 44200, Nepal)
- Bishwas K. C.
(Post Graduate Program, Institute of Agriculture and Animal Science, Tribhuvan University, Kathmandu 44600, Nepal)
- Meena Pandey
(Paklihawa Campus, Institute of Agriculture and Animal Science, Tribhuvan University, Bhairahawa 32900, Nepal)
- Yadav KC
(Central Campus of Technology, Department of Food Technology, Tribhuvan University, Dharan 56700, Nepal)
- Samrat Paudel
(Department of Biotechnology, Kathmandu University, Dhulikhel 45200, Nepal)
- Milan Subedi
(Institute of Agriculture and Animal Science, Rampur Campus, Chitwan 44200, Nepal)
- Bhoj Raj Pant
(Nepal Academy of Science and Technology, Khumaltar 00977, Nepal)
- Tirtha Raj Bajgai
(Minhas Microbrewery, Distillery and Winery, 1314 44 Ave NE, Calgary, AB T2E 6L6, Canada)
- Niranjan Koirala
(Department of Natural Products Research, Dr. Koirala Research Institute for Biotechnology and Biodiversity, Kathmandu 44600, Nepal)
- Salama Mostafa Aboelenin
(Biology Department, Turabah University College, Taif University, Al Hawiyah 21995, Saudi Arabia)
- Mohamed Mohamed Soliman
(Clinical Laboratory Sciences Department, Turabah University College, Taif University, Al Hawiyah 21995, Saudi Arabia)
- Gaber EI-Saber Batiha
(Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University, Damanhour 22511, Egypt)
- Jitendra Upadhyaya
(Institute of Agriculture and Animal Science, Rampur Campus, Chitwan 44200, Nepal)
Abstract
The government of Nepal has recommended blanket fertilizer application for rice cultivation, which results in lower nutrient use efficiency (NUE) particularly under rainfed conditions. With the aim of finding an appropriate nutrient management practices concerning rice production and profitability, a field experiment was conducted during rainy season of 2017 and 2018 at Kavrepalanchowk and Dang district of Nepal. Altogether, five treatments comprising various nutrient management practices viz. Nutrient Expert Model (NE), use of Leaf Color Chart (LCC), Government Recommended Fertilizer Dose (GON), Farm Yard Manure (FYM), and Farmers’ Field Practice (FFP), were laid out in RCBD with four replications in farmers’ fields. The analysis of variance showed significant difference between treatments for test weight and grain yield in Kavrepalanchowk whereas all traits except number of effective tillers were significant in Dang. The significantly higher grain yield and harvest index were obtained in NE, followed by LCC; and the overall straw yield was highest in LCC, followed by NE in both the locations. Also, yield gap analysis suggested the NE had 44.44% and 23.97% increase in yield as compared to FPP in Kavrepalanchowk and Dang, respectively. The combined analysis with Best Linear Unbiased Estimator revealed the interaction of nutrient management and location significantly effects the straw yield and harvest index across both the locations. The estimated mean straw yield and harvest index were 10.93 t/ha and 34.98%, respectively. Both correlation study and biplot of principal component analysis signaled grain yield had positive correlation with all other traits. Furthermore, the net revenue was maximum for NE, followed by LCC in both the locations. The benefit: cost ratio was highest for NE which was 1.55 in Kavrepalanchowk and 2.61 in Dang. On the basis of these findings, NE and LCC can be effectively used as nutrient management practice by the farmers to obtain maximum production and profitability in Rice.
Suggested Citation
Ram Datta Bhatta & Mahendra Paudel & Kishor Ghimire & Khem Raj Dahal & Lal Prasad Amgain & Samiksha Pokhrel & Samikshya Acharya & Bishnu Prasad Kandel & Krishna Aryal & Bishwas K. C. & Meena Pandey & , 2021.
"Production and Profitability of Hybrid Rice Is Influenced by Different Nutrient Management Practices,"
Agriculture, MDPI, vol. 12(1), pages 1-16, December.
Handle:
RePEc:gam:jagris:v:12:y:2021:i:1:p:4-:d:707950
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