scholarly journals Simulation modeling of rice genotypes of yield and yield attributes at different nitrogen levels and different dates of transplanting using CERES 3.5 v for eastern Uttar Pradesh

MAUSAM ◽  
2021 ◽  
Vol 60 (4) ◽  
pp. 521-524
Author(s):  
NEERAJ KUMAR ◽  
P. TRIPATHI
Keyword(s):  
Simulation Modeling ◽  
Block Design ◽  
Uttar Pradesh ◽  
Nitrogen Level ◽  
Yield Attributes ◽  
Nitrogen Levels ◽  
Randomized Block Design ◽  
Rice Genotypes ◽  
Eastern Uttar Pradesh ◽  
Late Sowing

The present investigation was carried out at Agrometeorological Instructional Farm of Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad (U.P.) during Kharif season of 2005-06 to investigate the CERES v 3.5 model validations for rice at different dates of transplanting and different genotypes. Treatment consisted of three genotypes, viz., Sarjoo-52, NDR-359 and  Pant Dhan-4, two dates of transplanting, viz.,         July 5, 2005 and  July 25, 2005 & three nitrogen levels, viz., 80 kg/ha, 120 kg/ha and 160 kg/ha. The experiment was laid out in Randomized Block Design (RBD). From the response of simulation model it is observed that accuracy of simulated value decrease with late sowing in all the genotypes. Among the varieties the Pant Dhan-4 was found to have maximum closeness to observed value followed by Sarjoo-52 and NDR-359 at all nitrogen level for Biomass (gm/m2). Grain yield predication at 120 kg N level was found closest in Pant Dhan-4 and Sarjoo-52, while in NDR­-359 shows the better closeness at 160 kg N in both dates of transplanting. In the weight/grain (gm) 120 kg nitrogen level was found to have highest accuracy of (100%), i.e., no difference between observed and predicted value in both transplanting dates and nitrogen level.

scholarly journals Response of Micronutrients and Biofertilizers on Yield Attributes and Protein Content under Rice – Chickpea Cropping System in Central Uttar Pradesh

2020 ◽  
pp. 70-78
Author(s):  
Namrata Kashyap ◽  
Rajendra Pathak ◽  
A. K. Sacchan ◽  
S. Dimree
Keyword(s):  
Protein Content ◽  
Plant Height ◽  
Hybrid Rice ◽  
Block Design ◽  
Uttar Pradesh ◽  
Cropping System ◽  
Yield Attributes ◽  
Mean Values ◽  
Randomized Block Design ◽  
The Mean

The present study was conducted to investigate the changes in yield attributes and protein content with the application of zinc and biofertilizers in hybrid rice and chickpea. The experiment was conducted in as a Randomized Block Design (RBD) in Students Instructional Farm, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, Uttar Pradesh, India, during 2018-2019 and 2019-2020. The experiment included twelve treatment groups replicated three times in Randomized Block Design. The results revealed that the treatment which received T7 (100 per cent RDN + 25 per cent N FYM + S40 + ZnO + *Azotobacter or **Rhizobium) recorded highest value of all yield attributes and protein content. The mean values of both years of plant height, number of tillers/hill, panicle length, no. of filled grains/panicle, no. of unfilled grains/panicle and total no. of grains/panicle increased up to 96.08 cm, 8.38, 24.29, 181.03, 18.71 and 199.74, respectively in treatment T7 in hybrid rice. Similarly, in case of chickpea the mean values of plant height, no. of branches/hill, no. of pods/plant, no. of seeds/plant, no. of nodules/plant and dry weight of nodules/plant also increased up to 62.60 cm, 5.22, 62.62, 1.88, 17.63 and 2.08, respectively. The protein content was also found to be maximum in Treatment T7 in rice (7.94 and 8.04%) and in chickpea (23.25 and 23.27%) during the years, respectively. Therefore, combination of micronutrients and biofertilizers, as remunerative and beneficial for growth, improved the yield and ultimately productivity of both hybrid rice and chickpea in areas with deficient available micronutrients in soil.

Response of chickpea (Cicer arietinum L.) varieties to nitrogen on a calcareous vertisols

2016 ◽  
Vol 50 (3) ◽  
Author(s):  
B. Sandhya Rani ◽  
T. Giridhara Krishna
Keyword(s):  
Cicer Arietinum ◽  
Seed Yield ◽  
Interaction Effect ◽  
Dry Matter ◽  
Block Design ◽  
Dry Matter Production ◽  
Yield Attributes ◽  
Nitrogen Levels ◽  
Randomized Block Design ◽  
Matter Production

An experiment was conducted during <italic>rabi</italic> season of 2010-12 to study the response of chickpea varieties to nutrients levels on a calcareous vertisols. The experiment comprised of four varieties i.e., NBeG-3, NBeG-28, JG-11 and KAK-2 and with four nitrogen levels i.e., 0, 20, 30 and 40 kg/ha laid out in factorial randomized block design with three replications. Among the varieties significantly higher dry matter production at harvest was recorded with JG-11 while it was lowest with KAK-2. More number of pods per plant and seed yield were recorded with JG-11 followed by NBeG-3 and NBeG-28, while lowest with KAK-2. Interaction effect among the different varieties and nitrogen levels was non significant with yield attributes. Significantly higher seed yield was recorded with JG-11 @ 40 kg of N/ha but was at par with N @ 20 and 30 kg /ha, followed by NBeG-3 and NBeG-28.

scholarly journals Performance of micro-nutrients on growth and yield attributes of linseed (Linum usitatissimum L.) under limited irrigation

2021 ◽  
Vol 17 (AAEBSSD) ◽  
pp. 287-291
Author(s):  
Adarsh Verma ◽  
Amar Kant Verma ◽  
U.D. Awasthi ◽  
Avadh Narain Singh ◽  
Kushal Sachan
Keyword(s):  
Seed Weight ◽  
Foliar Application ◽  
Block Design ◽  
Uttar Pradesh ◽  
Growth And Yield ◽  
Yield Attributes ◽  
Soil Application ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Plant Stand

A field experiment was conducted during Rabi season of 2019-20 at Oil Seed Research Farm of C S Azad University of Agriculture and Technology, Kanpur. The experiment consisted 9 treatments viz. T1: Control, T2: Soil application of ZnSO4 @ 25 kg ha-1, T3: Foliar application of ZnSO4 @0.5% at 45 DAS, T4: Soil Application of ZnSO4 @ 25 kg ha-1 + Foliar application of ZnSO4 @0.5% at 45 DAS, T5: Soil application Borax @ 1.5 kg ha-1, T6: Foliar application of Borax @ 0.3 % at 45 DAS, T7: Soil application of Borax @ 1.5 kg ha-1 Foliar application of Borax @ 0.3 % at 45 DAS, T8: Foliar application of ZnSO4 @ 0.5% + Borax @ 0.3% at 45 DAS and T9: Soil application of ZnSO4 @ 25 kg ha-1 + Borax @ 1.5 kg ha-1 in soil assigned in Randomized Block Design with three replication. The Linseed cv Shekhar was used in the experiment. The results in significantly maximum plant stand, plant height, yield attributes: Days to 50% flowering and maturity, Number of capsules plant-1 and number of seeds capsule-1, 1000-seed weight (g) was significantly affected by T9 and T8 treatments. The highest 1000-seed weight (8.97) under (T9) treatment were soil application of ZnSO4 @ 25 kg ha-1 + Borax @ 1.5 kg ha-1 at the time of sowing as compared to all the treatments except treatment No.(T8 ) Foliar application of ZnSO4 @ 0.5% + Borax @ 0.3% at 45 DAS under limited irrigation of central Uttar Pradesh.

Nutrient uptake, use efficiency and yield of rice as influenced by time of transplanting and nitrogen levels

2019 ◽  
pp. 209-213
Author(s):  
Sunita Devi ◽  
Neetu Sharma ◽  
BC Sharma ◽  
Vikas Sharma ◽  
Guredev Chand ◽  
...  
Keyword(s):  
Block Design ◽  
Growth Yield ◽  
Yield Attributes ◽  
Straw Yield ◽  
Nitrogen Levels ◽  
Net Returns ◽  
Randomized Block Design ◽  
Use Efficiency ◽  
Four Levels ◽  
Different Levels

An experiment was conducted during Kharif, 2016 to investigate the influence of transplanting dates and nitrogen levels on productivity of transplanted fine rice. Experiment was laid out in factorial randomized block design with two transplanting dates (i.e. D1-15th and D2-30th July) as one factor and four levels of nitrogen (i.e. 0, 30, 60 and 90 kg N/ha) as second factor. Time of transplanting did not influence growth, yield attributes and yield. However, among different levels of nitrogen, significantly highest yield and yield attributes were recorded with 60 kg N/ha. Significantly highest straw yield was recorded with 90 kg N/ha. Rice transplanted on 15th July proved to be superior with respect to gross returns (Rs.70337.50/ha), net return (Rs.38259.28/ha) and B: C ratio (1.19) to that of 30th July transplanting. Whereas among nitrogen levels highest gross returns (Rs.79307.50/ha), net returns (Rs.52314.96) and B: C (1.94) ratio were obtained with application of 60 kg N/ha.

Effect of INM on nodulation, yield, quality and available nutrient status in soil after harvest of greengram

2016 ◽  
Author(s):  
Yubaraj Dhakal ◽  
Ram Swaroop Meena ◽  
Sushil Kumar
Keyword(s):  
Nutrient Management ◽  
Block Design ◽  
Uttar Pradesh ◽  
Dry Weight ◽  
Nutrient Status ◽  
Nutrient Content ◽  
Phosphate Solubilizing Bacteria ◽  
Yield Attributes ◽  
Randomized Block Design ◽  
Phosphate Solubilizing

A field experiment was carried out at Varanasi (Uttar Pradesh) during kharif season of 2013 to study the influence of integrated nutrient management on greengram [Vigna radiata (L.) Wilczek].Three sources of nutrients viz. inorganic, organic and bio-fertilizers were used in twelve combinations with randomized block design. Among different combinations, significant improvement in number of nodules/plant (80.97), dry weight of nodules (32.89 mg/plant), yield attributes, seed yield (12.34 qt/ha), harvest index (28.32%), nutrient content, available NPK and organic carbon after harvest in soil were recorded with application of nutrients through 75% RDF + 2.5 t/ha vermicompost + rhizobium + Phosphate solubilizing bacteria (PSB) as compared to other combinations and control, but it was at par with 100% RDF + 2.5 t/ha vermicompost and 100% RDF + rhizobium + PSB.

scholarly journals Response of Hybrid Rice (Oryza sativa L.) to Several Nitrogen Levels during Kharif (Autumn) Season in New Alluvial Zone of West Bengal

2020 ◽  
pp. 160-165
Author(s):  
Rumi Saha ◽  
Megha Sana ◽  
Subhajit Pal ◽  
Krishnendu Mondal ◽  
Sukanta Pal
Keyword(s):  
Oryza Sativa ◽  
West Bengal ◽  
Hybrid Rice ◽  
Oryza Sativa L ◽  
Block Design ◽  
Superior Performance ◽  
Rice Varieties ◽  
Yield Attributes ◽  
Nitrogen Levels ◽  
Randomized Block Design

Introduction: Rice (Oryza sativa L.) is one of the most important staple foods for more than half of the world’s population Aim: To find out the most suitable nitrogen level for hybrid rice productivity in new alluvial zone of west Bengal. Study Design: The experiment was laid out in Factorial Randomized Block Design (FRBD) with 10 treatment combinations and three replicates. Place and Duration of Study: Kharif seasons of 2018 and 2019 at Regional-Research Sub-Station (RRSS) Chakdaha of BCKV under new alluvial zone of West Bengal. Methods: Combinations having two hybrid rice varieties viz., V1 (PAN 2112 Gold), V2 (KRH-2) and five nitrogen levels viz. N1 (0:60:60 N: P2O5: K2O Kg ha-1), N2 (50:60:60 N: P2O5: K2O Kg ha-1), N3 (100:60:60 N: P2O5: K2O Kg ha-1), N4 (150:60:60 N: P2O5: K2O Kg ha-1), N5 (200:60:60 N: P2O5: K2O Kg ha-1) Generally, yield contributing characters were studied at maturity of the crop. For yield analysis samples were taken from each plot and yield attributes were calculated. Results: Results revealed that almost all yield attributes gave significantly superior performance in the variety PAN 2112 Gold with N4 level of fertilization. The maximum grain yield (5.10 t ha-1) was recorded in the variety V1 in combination with N4 level of nitrogen which was 6.69% more than KRH-2. Highest harvest index (50.86%) was noticed in same treatment combination. Conclusion: It may be concluded that PAN 2112 Gold with fertilizer dose N: P2O5: K2O 150:60:60 Kg ha-1 can be recommended for South Bengal locations contributing to a yield of 5.10 t ha-1 as an Aman crop.

Yield and Seed quality of barley (Hordeum vulgare L.) as affected by variety, nitrogen level and harvesting time

2014 ◽  
Vol 2 (2) ◽  
pp. 93-100
Author(s):  
Shahnaj Yesmina ◽  
Moushumi Akhtarb ◽  
Belal Hossain
Keyword(s):  
Grain Yield ◽  
Seed Weight ◽  
Seed Quality ◽  
Quality Parameters ◽  
Nitrogen Level ◽  
Yield Attributes ◽  
Harvesting Time ◽  
Nitrogen Levels ◽  
Vigour Index

The experiment was conducted to find out the effect of variety, nitrogen level and harvesting time on yield and seed quality of barley. The treatments used in the experiment consisted of two varieties viz. BARI Barley 4 and BARI Barley 5, three harvesting time viz. 35, 40 and 45 Days after Anthesis (DAA) and nitrogen levels viz. 0, 70, 85 and 100 kg N ha-1 . The experiment was laid out in a spilt- spilt-plot design with three replications assigning the variety to the main plot, harvesting time to the sub-plots and nitrogen level to the sub-sub plots. Variety had significant effects on the all yield attributes except fertile seeds spike-1 . Seed quality parameters viz. normal seeds spike-1 , deformed seeds spike-1 , germination (%) and vigour index were statistically significant. The variety BARI Barley 5 produced higher grain yield and seed quality than BARI Barley 4. Grain yield from BARI Barley 5 and BARI Barley 4 were 4.59 t ha-1 and 4.24 t ha-1 , respectively. Significantly, the highest 1000-seed weight (46.90 g) was produced by BARI Barley 5 than (37.90 g) BARI Barley 4. The result revealed that harvesting time had significant effect on yield and yield attributes and seed quality parameters. Seed yield was highest (4.65 t ha-1 ) when the crop harvested at 40 DAA and it was increased linearly from 35 DAA. Maximum quality seed and 1000-seed weight (43.20 g) was obtained when the crop harvested at 40 DAA. All the yields, yield attributes and seed quality parameters were significantly influenced by nitrogen levels. The highest grain yield (5.14 t ha-1 ) was obtained when BARI Barley 5 variety was fertilized by 100 kg N ha-1 and the lowest (3.14 t ha-1 ) was obtained from control treatments. Normal seeds spike-1 , vigour index, germination (%) were better at 85 kg N ha-1 in variety of BARI Barley 5 than BARI Barley 4. So it can be concluded that BARI Barley 5 showed better result when fertilized with 100 kg N ha-1 and harvested at 40 DAA for getting maximum yield and 85 kg N ha-1 and harvested at 40 DAA for getting better quality seed.

scholarly journals Performance of F2 Rice (Oryza sativa L.) Segregants Derived from a Cross the BPT-5204 / IR-64Drt1

2020 ◽  
pp. 31-47
Author(s):  
Anjani Kumar ◽  
D. N. Singh ◽  
Krishna Prasad ◽  
Avinash Pandey
Keyword(s):  
Grain Yield ◽  
Field Condition ◽  
Significant Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Drought Condition ◽  
Normal Field ◽  
Randomized Block Design ◽  
Rice Genotypes ◽  
Selection Of

The present investigation was carried out with F2 plants from a cross between two parents i.e., BPT-5204 and IR-64Drt1. The selection of parents for crosses was made based on genotypes that were tolerant and susceptible to drought condition. BPT-5204 was drought susceptible and IR-64Drt1 was also tolerant to drought. In this experiment adequate amount of variability was detected for grain yield per plant and its components among 324 segregants evaluated under augmented randomized block design II in normal field condition. The analysis of variance for grain yield and its attributing characters among blocks, treatments, entries, checks and checks vs entries revealed presence of significant variation in the segregants studied. However, with respect to checks, non-significant differences were recorded for only L/B ratio. The results indicated that among 324 rice genotypes including checks, only 9 rice genotypes expressed higher yield compared to seven checks varieties under normal field condition. The segregants S-51, S-122, S-135, S-195, S-199, S-210, S-219, S-222, S-251 were top ranking genotypes with respect to all checks.

scholarly journals Comparative Effect of Different Treaments in Field Pea (Pisum sativum L.)

2021 ◽  
pp. 221-225
Author(s):  
Tharuna Sree ◽  
Abhinav Dayal ◽  
Prashanth Kumar Rai
Keyword(s):  
Gibberellic Acid ◽  
Block Design ◽  
Uttar Pradesh ◽  
Field Pea ◽  
Growth And Yield ◽  
Naphthalene Acetic Acid ◽  
Comparative Effect ◽  
Randomized Block Design ◽  
Biological Yield ◽  
Neem Leaf Extract

A field study was conducted to investigate the various treatments that effect on growth and yield of field pea in RBD (Randomized block design) at Sam Higginbottom University of Agriculture Technology and Science, Prayagraj, Uttar Pradesh during march to May in 2020. The trail consists of 13 treatments combinations. The field pea varieties were used were IPF429. The treatments included T0- control, T1,T2,T3,-Gibberellic acid, T4,T5,T6- Neem leaf extract, T7,T8,T9-ZnSo4, T10T11T12- Naphthalene acetic acid(NAA). All Ten parameters treated with Ga3 shows good results in Yield and shows maximum in field emergence, plant height, Days to 50% flowering, Number of pods, Seed yield per plot, Biological Yield and Harvest index. T0 (Un primed) shows lowest of all treatments. Hence, priming with Gibberellic acid could recommended for pre sowing treatment for field pea.

scholarly journals Growth and Gas Exchange of Cucurbita pepo L. Under Nitrogen and Silicon Fertilization

2019 ◽  
Vol 11 (9) ◽  
pp. 83
Author(s):  
Jackson de M. Alves ◽  
Alex S. de Lima ◽  
Cesenildo de F. Suassuna ◽  
Francisco R. A. Figueiredo ◽  
Toshik Iarley da Silva ◽  
...  
Keyword(s):  
Cucurbita Pepo ◽  
Polynomial Regression ◽  
Foliar Application ◽  
Growth Parameters ◽  
Block Design ◽  
Limiting Factor ◽  
Simultaneous Application ◽  
Gas Exchanges ◽  
Nitrogen Levels ◽  
Randomized Block Design

Zucchini (Cucurbita pepo L.) is a horticultural crop of great socioeconomic importance in Brazil and in the world. However, inappropriate fertilization management, such as over-fertilization of soils, may become a limiting factor for its development. Thus, the aim of this study was to evaluate the morpho-physiological behavior of zucchini submitted to nitrogen (N) doses applied via soil and foliar application of silicon (Si). The treatments were distributed in split-plot scheme in a randomized block design, with three replications. The plot was formed by silicon levels (0.0 and 6.0 g plant-1) and the subplots constituted by five nitrogen levels (30, 60, 90, 120 and 150 kg ha-1), adding up to 30 experimental units. Gas exchanges and growth parameters were assessed at 35 days after planting. The data were submitted to analysis of variance by the F test and in the cases of significance was performed a polynomial regression analysis for the nitrogen factor and Tukey test for the silicon factor. The supply of Si positively enhances the effects of N on growth characteristics and gas exchanges of zucchini. The simultaneous application of Si and N does not influence the leaf area of zucchini. The N dose of 93.9 kg ha-1 provides greater assimilation of CO2 in zucchini plants under the conditions in which the experiment was performed.

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