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Machine learning evidence-based agronomic practices for higher yield and lower emission in rice- wheat system

In document 61st Convocation (Page 128-131)

The increasing availability of complex, geo-referenced on-farm data demands analytical frameworks that can guide crop management recommendations. Recent developments in interpretable machine learning techniques offer opportunities to use these methods in agronomic studies. A suite of fine-tuned machine learning models was statistically compared using the R2, RMSE, and MAE. The best performing model was again fine-tuned using a grid search approach for the bias-variance trade-off. Random forest was the best performing method in terms of goodness-of-fit and model precision and accuracy, with RMSE, MAE, and R2 ranging between 367-470 kg ha-1, 276-345 kg ha-1, and 0.44-0.63, respectively. Random forest was then used for selection of important variables and interactions. The data of rice and wheat production in the North-western indo-Gangetic Plains of india was used to decompose rice yield gaps. Rice yield gaps were small (ca. 2.7 t ha-1 or 20% of Yp) and mostly attributed to the technology yield gap (ca. 1.8 t ha-1or ca. 15% of Yp). Efficiency and resource yield gaps were negligible (less than 5% of Yp in most districts). Alike rice, the wheat yield gaps were also small, i.e., 12% of the yield gap was explained by efficiency and resource use. Further, a database of 3832 rice farms from the input intensive rice production tracts of the iGP of india was used for sustainable energy use assessment. it was observed that irrigation and fertilizers were the two most important energy inputs, accounts for slightly larger than 75% of the cumulative energy input. in all districts, there is scope to reduce energy inputs from fertilizers, tillage operations, and irrigation. On average, the energy-use efficient farms had 42% or higher energy-use efficiency in the districts of Ambala, Fatehgarh Sahib, and Karnal, whereas in other districts the efficient farms had 5-19% higher energy- use efficiency. The evidence provided in this study can help to identify pathways towards sustainable energy use for future rice production. The emission associated with rice and wheat farmers were estimated using the CCAFS- MOT tools, which revealed existence of different trade-off across the districts, as well as across the efficient farmers group in the NW-iGP.

Theme 5. Irrigation management

Management of lodging in irrigated wheat (Triticum aestivum L. emend Fiori &Paol)

The experimental results revealed that the highest grain yield of wheat was obtained with the treatment T6 (HD3226 (V1),100 kg ha-1 (R2), Timely irrigation (i1), No PGR (P1)). The maximum lodging angle was found in T11 (HD2851 (V2), 75 kg ha-1 (R1), Delayed irrigation (i2), No PGR (P1) and also recorded the minimum lodged area as

compared to the other treatments. The highest protein content was recorded in treatments T6 (HD3226(V1),100kg ha-1(R2), Timely irrigation (i1), No PGR (P1), being at par with T8 (HD2851 (V2), 100 kg ha-1 (R2),Timely irrigation (i1), No PGR (P1) and T4 (HD2851 (V2), 100 kg ha-1 (R2), Delayed irrigation (i2), PGR Spray (P2). The highest values for N, P and K concentration and total uptake in grain and straw were obtained with treatment T6 (V1R2i1P1).

Overall, it can be inferred that treatments T6 (V1R2i1P1), T8 (V2R2i1P1), and T4 (V2R2i2P2) favoured the higher NPK concentration and uptake in grain, straw and their total. in general, the higher gross return, net return and B: C ratio was obtained with treatment T6 (HD3226(V1),100 kg ha-1(R2), Timely irrigation (i1), No PGR (P1), being higher to many other treatments.

List of Contributing Students and Chairperson of their Advisory Committee

No.S. Name of the

student Roll

No. Degree MSc/PhD

Title of the thesis Chairperson 1. Vipin

Kumar 21424 M.Sc. Effect of polyhalite on growth and produc-

tivity of wheat under rice-wheat system Dr. Kapila Shekhawat 2. Ayan

Sarkar 21425 M.Sc. Nano urea and herbicides effect on weed and

wheat productivity Dr. Teekam Singh

3. Rakesh

Prajapati 21426 M.Sc. Effect of potassium management in indian

mustard Dr. S. L. Meena

4. Tarun

Sharma 21427 M.Sc. Tillage, residue and nitrogen effects on weeds, wheat productivity, and soil proper- ties under Conservation Agriculture-based pigeon pea-wheat system

Dr. T.K. Das

5. Pranab Ranjan

Saha 21428 M.Sc. System of intensification for enhancing pro- ductivity and profitability in oilseed Bras- sica species

Dr. S.S. Rathore

6. Manjunatha

MA 21429 M.Sc. Precision nitrogen management for enhanc-

ing productivity and profitability of wheat Dr. Amal Ghosh 7. Mukesh Kumar

Yadav 21549 M.Sc. Management of lodging in irrigated wheat

(Triticum aestivum L. emend Fiori &Paol) Dr. Dinesh Kumar 8. V Om Subham

Raju 50061 M.Sc. Bio-efficacy and Selectivity of Herbicides in

Chickpea (Cicer arietinum L.) Dr. Rajvir Sharma 9. Mrinal Sen 50062 M.Sc. Effect of planting method and strip-inter-

cropping on productivity and resource use efficiency in wheat-based cropping systems

Dr. Raj Singh

10. M E Krishna

Babu 50063 M.Sc. Tillage, Crop Residue and Precision Nutri- ent Management in Wheat under Maize- Wheat system

Dr. Rajiv Kumar Singh

11. Chinnali Das 50073 M.Sc. integrated Weed Management in Vegetable

pea Dr. Ramanjit Kaur

12. Soumyadar-shi

Muduli 60065 M.Sc Nitrogen management in wheat (Triticum

aestivumL.) for acid soils of Jharkhand Dr. Kapila Shekhawat

13. Abhijit Mandal 60066 M.Sc Effect of nano-urea and irrigation regimes

on wheat Dr.Teekam Singh

14. Poulomi

Debnath 80002 M.Sc Effect of nutrient management and herbicide interaction in weed management and yield of wheat crop

Dr. Anil Dixit

15. Hari Singh

Meena 10423 Ph.D Tillage, residue and weed management ef- fects on a conservation agriculture-based onion-wheat cropping system

Dr. T.K. Das

16. Rajendra

Prasad Meena 10592 Ph.D Nutrient management in baby corn-based

cropping systems Dr. Shiva Dhar

17. Ankit 10772 Ph.D Conservation agriculture and sulphur nutri- tion effects on productivity and resource use efficiency of rainfed pearl millet

Dr. K.S. Rana

18. Varatharaj-an T 11212 Ph.D integrated crop management modules for

maize + black gram – wheat cropping system Dr. Anchal Dass 19. Niraj

Biswakarma 11216 Ph.D integrated crop management (iCM) prac- tices for direct seeded rice–zero till wheat cropping system

Dr. Vijay Pooniya

20. Hari Shankar

Nayak 11446 Ph.D Machine learning evidence-based agronom- ic practices for higher yield and lower emis- sion in rice-wheat system

Dr. C. M. Parihar

21. Somanath

Nayak 11214 Ph.D Relative zinc loading ability of rice and wheat varieties in rice-wheat cropping sequence

Dr. Y.S. Shivay

22. Kamal Garg 11447 Ph.D Development and evaluation of formula- tions of organic sources of nutrients for dif- ferent crop sequences

Dr. Shiva Dhar

23. Ankur Bhakar 11450 Ph.D Effect of nutrient and weed management on productivity and soil microbial properties in aerobic rice-wheat system

Dr. Y.V.Singh

24. Rishi Raj 10987 Ph.D Weed seed bank dynamics and productiv- ity in a long-term conservation agriculture- based rice-wheat cropping system

Dr. T.K.Das

In document 61st Convocation (Page 128-131)