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ICAR-Indian Grassland and Fodder Research InstituteICAR-Indian Grassland and Fodder Research Institute
(Indian Council of Agricultural Research)
Near Pahuj Dam, Gwalior Road, Jhansi - 284 003 (UP) India
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  0510-2730666, 2730158
0510-2730385
  FAX: 0510-2730833
igfri_jhansi@yahoo.co.in
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  Activities and Achievements
Crop Production Division / Activities and Achievements
 
 
 
Perennial based fodder production system
The planting of pennisetum trispecific hybrid with seasonal kharif fodder in paired rows recorded highest green and dry matter yields (53.8 t green and 11.3 t dry matter ha-1). Among the seasonal fodder sequences, pearl millet (double cut) recorded highest green and dry matter yields (30.96 t green or 5.82 t dry matter ha-1).
 
 
 
Lysimetric studies
The water use efficiency of the system (guinea grass + berseem) during four cuts were found to be 24.38, 36.39, 26.87 and 21.81 kg dm/ha mm. The crop coefficient of guinea grass + berseem was worked out to be 1.26, 1.28, 1.23 and 1.26 from 1st to 4th cut respectively.
 
 
 
 
Long term impact of organic and inorganic sources of nutrients
Application of FYM @ 67-72 t/ha/yr in two split (1:1 kharif: rabi) during conversion period was effective in soil fertility build up and meeting the nutritional requirement of Guinea grass + (cowpea - berseem) cropping system at its optimum productivity.
 
 
 
Enhancing nutrient acquisition efficiency in acid soil
Genotypes like IG 03-262, EC 209492, SKO 109 showed similar response to FePO4, Ca3(PO4)2, AlPO4, NaH2PO4 measured in terms of plant growth and shoot biomass production. Consortium of VAM, Azotobacter, Pseudomonas, Aspergilus and Bacillus species were effective in significantly increasing the green and dry biomass yield of the maize + cowpea and oat in pot culture fertilized with tricalcium phosphate.
 
 
 
Enhancing nutrient acquisition efficiency in acid soil
Genotypes like IG 03-262, EC 209492, SKO 109 showed similar response to FePO4, Ca3(PO4)2, AlPO4, NaH2PO4 measured in terms of plant growth and shoot biomass production. Consortium of VAM, Azotobacter, Pseudomonas, Aspergilus and Bacillus species were effective in significantly increasing the green and dry biomass yield of the maize + cowpea and oat in pot culture fertilized with tricalcium phosphate.

Micronutrient deficiency management
Seed priming and VAM application with 50% recommended dose of micronutrients (RDM) were effective in producing green and dry forage yield of sorghum+cowpea and oat equivalent to 100% RDM (Zn: Mn: Cu- 20: 10:5) resulting in 50% saving of the micronutrient fertilizer recommended for these crops.
 
 
Salt affected soils
Amendment with FYM, pressmud and poultry manure showed significant improvement in the biomass production of oat over the unamended control. Amongst the amendments the poultry manure (72.9 g/pot) was significantly better than the FYM (55.3 g/pot) and pressmud (66.1 g/pot). After ameliorating the soil pH in the range of 8.8-9.3 through application of gypsum and manures.

Spectral response of fodder crops
Sorghum and Bajra leaf nitrogen concentration were highly correlated with reflectance ratio of R 581/ R 381 (R2=0.44*) and R 619/ R 462 (R2= 0.78***). Leaf nitrogen could be well estimated with these ratios. A linear relationship was found between sorghum (Bajra), canopy leaf N and the ratios with highest R2 values Intercept=8.85, slope=-2.64, (In: 3.2, slope: 0.84). Cowpea and Guar canopy leaf N concentration could be best estimate through the above ratios and the relationship are found to be Y=-0.2 692/518 +1.6, R2=0.75% and Y= -0.20668/725 + 0.77 R² = 0.81*** respectively.

Modelling
Genetic coefficient of four varieties of sorghum (CSH-9, CSH-23, CSV-13 and CSV-17), four varieties (Halna, PBW-343, Malviya 234 and PBW-17) of wheat and three varieties ( HC-1, Vardan and Aorodhi) of Chickpea were computed based on field experiments. The model is capable to simulate grain yield (+ 10%) of wheat under different date of sowing (November- December).
Dynamic crop growth simulation model is developed for forage cowpea using CROPGROW model (DSSAT, Version 4.51).
 

 

 

 
 
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