Exploring Optimal Cereal Crop Sequence Using Cultivated Land Utilization Index and Yield in Katihar District, India: A Sub Division Level Analysis

The present study attempts to identify the suitable crop sequences in an agriculturally productive district of Bihar, India. Rice-rice-vegetables, rice-maize-rice, rice-maize-maize, rice-maize-jute, rice-pulse-rice, rice-pulse-jute, rice-pulse-potato, and maize-maize-rice were found to be the suitable crop sequences in the area under study. Findings revealed that most of the blocks were found suitable for suggested crop sequences, while only two blocks (namely Balrampur and Barsoi) showed low potential in the rice-maize-rice sequence. Use of farm machinery, application of efficient farm inputs, and irrigation is required to maximize the yield and achieve long-term agricultural sustainability in this district

Exploring Optimal Cereal Crop Sequence Using Cultivated Land Utilization Index and Yield in Katihar District, India: A Sub Division Level Analysis

The present study attempts to identify the suitable crop sequences in an agriculturally productive district of Bihar, India. Rice-rice-vegetables, rice-maize-rice, rice-maize-maize, rice-maize-jute, rice-pulse-rice, rice-pulse-jute, rice-pulse-potato, and maize-maize-rice were found to be the suitable crop sequences in the area under study. Findings revealed that most of the blocks were found suitable for suggested crop sequences, while only two blocks (namely Balrampur and Barsoi) showed low potential in the rice-maize-rice sequence. Use of farm machinery, application of efficient farm inputs, and irrigation is required to maximize the yield and achieve long-term agricultural sustainability in this district

Morpho-physiological characterization of aromatic rice (Oryza sativa) genotypes for grain yield under timely sown irrigated condition of upper IGPs

The study was carried out to evaluate the morpho-physiological traits of eight aromatic genotypes of rice and their association with yield. The results indicated that highest genetic variability was observed in days to panicle initiation (PI), flowering (FL) and physiological maturity (PM), plant height, panicle length, grains per panicle, total dry matter (TDM) and grain yield. The highest grain yield was observed in Vallabh 21 (4.82 t ha-1) whereas; Taroari Basmati produced lowest (2.07 t ha-1). Total dry matter (TDM) at harvest varied from 11.44 to 14.69 t ha-1 and genotypes proved their photosynthetic radiation use efficiency (PRUE) in the rangeof 10.1 to 15.3(m mole CO2 mole-1 photon). PRUE showed a highly significant (p<0.05) and positive relation with TDM (r = 0.80 * * ) and grain yield (r = 0.66 * * ). Strong correlation between photosynthetic rate and grain yield suggest that higher leaf photosynthesis rate should be considered for improving potential productivity of aromatic rice. Highly significant correlation for yield was also noticed with panicle length (r= 0.421 * * ), grains per panicle (r=0.50 * * ), 1000 grains weight (r=0.58 * * ), TDM at harvest (r=0.486 * * ) and photosynthesis rate (r=0.386 * * ). A negative correlation was established between TDM with harvest index and LAI with plant height. The principal component analysis (PCA) was performed for all the morpho-physiological traits of rice genotypes. Out of 28 variables under study, eight PC’s exhibited more than one ‘Eigen value’ explaining 74.6 per cent variability among the traits. The highest variability was observed in TDM at harvest, flowering days, test weight, plant height, physiological maturity days, grains per panicle, panicle initiation days and panicle length which highly emphasized that these parameters are very vital for crop simulation models

Early estimation of sugarcane area of Uttar Pradesh using remote sensing and ground truth

Uttar Pradesh contributes largest acreage of sugarcane (more than 40 per cent) to the national crop acreage; hence an early estimate of the crop acreage becomes paramount importance which was done using AWiFS data. Multi-date data of Resourcesat-2 AWiFS from February to November 2012 and January to November, 2013 for the 27 districts of Uttar Pradesh (U.P) was used to develop the procedure for early estimation of sugarcane acreage. The districts selected were having an area greater than 10 thousand ha and contribute 98.7 per cent of the state sugarcane acreage. The ground truth was collected during July/August and October 2012-13.The classification accuracy vis-a-vis critical data set requirement and identification of ratoon and freshly planted crop was also attempted. Early estimation of sugarcane acreage during month of June can be made possible by using multi-date AWiFS data upto May in case of Uttar Pradesh. The estimated acreage was 18.1 lakh ha which were 30 per cent underestimated in comparison to crop acreage estimation using data upto Nov. 3, 2012 which was 26.1 lakh ha. The error in early estimation of the crops was reduced by about 50 per cent as the estimated crop acreage during May was19.5 lakh ha whereas using AWiFS data upto Nov. 3, 2013 was 22.6 lakh ha. Therefore, on the basis of model output for two years, early estimation in June showed under estimation of 22 percent compared to final estimate in November

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Not AvailableUttar Pradesh contributes largest acreage of sugarcane (more than 40 per cent) to the national crop acreage; hence an early estimate of the crop acreage becomes paramount importance which was done using AWiFS data. Multi-date data of Resourcesat-2 AWiFS from February to November 2012 and January to November, 2013 for the 27 districts of Uttar Pradesh (U.P) was used to develop the procedure for early estimation of sugarcane acreage. The districts selected were having an area greater than 10 thousand ha and contribute 98.7 per cent of the state sugarcane acreage. The ground truth was collected during July/August and October 2012-13.The classification accuracy vis-a-vis critical data set requirement and identification of ratoon and freshly planted crop was also attempted. Early estimation of sugarcane acreage during month of June can be made possible by using multi-date AWiFS data upto May in case of Uttar Pradesh. The estimated acreage was 18.1 lakh ha which were 30 per cent underestimated in comparison to crop acreage estimation using data upto Nov. 3, 2012 which was 26.1 lakh ha. The error in early estimation of the crops was reduced by about 50 per cent as the estimated crop acreage during May was19.5 lakh ha whereas using AWiFS data upto Nov. 3, 2013 was 22.6 lakh ha. Therefore, on the basis of model output for two years, early estimation in June showed under estimation of 22 percent compared to final estimate in November.Not Availabl

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The study area is located between 23.5o and 30.5o N and 76.5 o to 84.5 o E bordered by the Indo gangetic plains. It covers about 24093 km2 geographical area.Total 400 ground truth data was collected using the handheld GPS during the crop season in all the district of the study area. The satellite data of the same period consisted of 56 m spatial resolutions were used for the analysisUttar Pradesh contributes largest acreage of sugarcane (more than 40 per cent) to the national crop acreage; hence an early estimate of the crop acreage becomes paramount importance which was done using AWiFS data. Multi-date data of Resourcesat-2 AWiFS from February to November 2012 and January to November, 2013 for the 27 districts of Uttar Pradesh (U.P) was used to develop the procedure for early estimation of sugarcane acreage. The districts selected were having an area greater than 10 thousand ha and contribute 98.7 per cent of the state sugarcane acreage. The ground truth was collected during July/August and October 2012-13.The classification accuracy vis-a-vis critical data set requirement and identification of ratoon and freshly planted crop was also attempted. Early estimation of sugarcane acreage during month of June can be made possible by using multi-date AWiFS data upto May in case of Uttar Pradesh. The estimated acreage was 18.1 lakh ha which were 30 per cent underestimated in comparison to crop acreage estimation using data upto Nov. 3, 2012 which was 26.1 lakh ha. The error in early estimation of the crops was reduced by about 50 per cent as the estimated crop acreage during May was19.5 lakh ha whereas using AWiFS data upto Nov. 3, 2013 was 22.6 lakh ha. Therefore, on the basis of model output for two years, early estimation in June showed under estimation of 22 percent compared to final estimate in NovemberNot Availabl

Not Available

Not AvailableUttar Pradesh contributes largest acreage of sugarcane (more than 40 per cent) to the national crop acreage; hence an early estimate of the crop acreage becomes paramount importance which was done using AWiFS data. Multi-date data of Resourcesat-2 AWiFS from February to November 2012 and January to November, 2013 for the 27 districts of Uttar Pradesh (U.P) was used to develop the procedure for early estimation of sugarcane acreage. The districts selected were having an area greater than 10 thousand ha and contribute 98.7 per cent of the state sugarcane acreage. The ground truth was collected during July/August and October 2012-13.The classification accuracy vis-a-vis critical data set requirement and identification of ratoon and freshly planted crop was also attempted. Early estimation of sugarcane acreage during month of June can be made possible by using multi-date AWiFS data upto May in case of Uttar Pradesh. The estimated acreage was 18.1 lakh ha which were 30 per cent underestimated in comparison to crop acreage estimation using data upto Nov. 3, 2012 which was 26.1 lakh ha. The error in early estimation of the crops was reduced by about 50 per cent as the estimated crop acreage during May was19.5 lakh ha whereas using AWiFS data upto Nov. 3, 2013 was 22.6 lakh ha. Therefore, on the basis of model output for two years, early estimation in June showed under estimation of 22 percent compared to final estimate in November.Not Availabl

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Not AvailableCrop productivity is a major concern all over the world to provide food security, resulting in the green revolution. It is noteworthy that the fertilizer implemented to farmland leads to more desirable cropping patterns. Utilization of agricultural land efficiently for the crop production requires the knowledge of the nutrient inconsistency. This paper has presented the power of geomatics, to retrieve the synoptic and substantial changes in cropping pattern. Results and interpretations lead to the evaluation of the contemporaneous cropping systems. After a major yield parameter scrutiny for crops (rice, wheat, sugarcane, and onion), the magnificent accelerations were suggested. Results demonstrated a correlation r2 value of 0.834 with the estimated crop yield and normalized difference vegetation index. The Rice EquivalentYield (REY)is highestat therange of 17–21 t/ha in the North, central and southern lower part, lowest at the western part ranging from 7–12 t/ha, with some part with 12–14 t/ha, while the most of the eastern part of the study site has shown the REY values ranging from 14 to 17 t/ha. The surveyed information, such as pH, electical conductivity, and organic carbon of the soil specimen, was used to examine the spatial discrepancies of rice-based cropping system’s productivity. Ultimately, the spatialtemporal maps of fertilization pattern, yield parameters (e.g., N, P, andK), and relational REY observation were illustrated using spatial interpolation.Not Availabl

Abstracts of National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology

This book contains the abstracts of the papers presented at the National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology (NCB4EBT-2021) Organized by the Department of Biotechnology, National Institute of Technology Warangal, India held on 29–30 January 2021. This conference is the first of its kind organized by NIT-W which covered an array of interesting topics in biotechnology. This makes it a bit special as it brings together researchers from different disciplines of biotechnology, which in turn will also open new research and cooperation fields for them. Conference Title: National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental BiotechnologyConference Acronym: NCB4EBT-2021Conference Date: 29–30 January 2021Conference Location: Online (Virtual Mode)Conference Organizer: Department of Biotechnology, National Institute of Technology Warangal, Indi