Kharif Season Research Articles

Evaluating the Effects of Fertilizer Deep Placement on Greenhouse Gas Emissions and Nutrient Use Efficiency in Wet Direct-Seeded Rice During the Wet Season in Assam, India

Mitigation of greenhouse gases (GHGs), improving nutrient-use efficiency (NUE), and maximizing yield in rainfed lowland rice cultivation poses significant challenges. To address this, a two-year field experiment (2020 and 2021) was conducted in Assam, India, to examine the impact of different fertilizer-management practices on grain yield, NUE, and GHGs in wet direct-seeded rice (Wet-DSR) during the kharif season. The experiment included eight treatments: control; farmer’s practice (30-18.4-36 kg N-P2O5-K2O ha−1); state recommended dose of fertilizer (RDF) @ 60-20-40 kg N-P2O5-K2O ha−1 with N applied in three splits @ 30-15-15 kg ha−1 as basal, at active tillering (AT), and panicle initiation (PI); best fertilizer management practices (BMPs): 60-20-40 kg N-P2O5-K2O ha−1 with N applied in three equal splits as basal, at AT, and PI; and fertilizer deep placement (FDP) of 120%, 100%, 80%, and 60% N combined with 100% PK of RDF. The experiment was arranged out in a randomized complete block design with three replications for each treatment. The highest grain yield (4933 kg ha−1) and straw yield (6520 kg ha−1) were achieved with the deep placement of 120% N + 100% PK of RDF. FDP with 80% N + 100% PK reduced 38% N2O emissions compared to AAU’s RDF and BMPs, where fertilizer was broadcasted. This is mainly due to the lower dose of nitrogen fertilizer and the application of fertilizer in a reduced zone of soil. When considering both productivity and environmental impact, applying 80% N with 100% PK through FDP was identified as the most effective practice.

Effect of Methods of Establishment and Zinc Management on Growth and Yield of Rice (Oryza sativa L.)

The field experiment was conducted at Shradhay Bhagwati Singh Agriculture Research Farm (Hajipur), Chandra Bhanu Gupta Krishi Snatkottar Mahavidyalaya, B.K.T., Lucknow (Uttar Pradesh) during Kharif (rainy) season in 2023-24. The treatment consisted of three methods of establishment (M1 – Direct seeding in lines after pre-irrigation, M2 -Broadcast of sprouted seed on puddled soil , M3 – System of Rice intensification (SRI) of (25 x 25cm) 12 days old seedling.) and five Zinc management practices (Zn0- Without zinc (control), Zn1- Zinc Sulphate ZnSo4@20kg ha-1 (Basal), Zn2- Foliar spray of Zn@0.5% at tillering and panicle initiation stage, Zn3- Seedling dipping in 2% ZnSO4+ 2 Foliar of Zn@0.5% at tillering and Panicle stage, Zn4- Seedling dipping in 2 % ZnSO4 solution+ Foliar spray of Zn@0.2% at tillering and panicle initiation stage) were tested in split-plot design with 3 replications. The Experimental site was silty loam having medium organic carbon (0.70%) and available nitrogen (270 kg ha-1), phosphorous (27 kg ha-1) and Potassium (262 kg ha1). All the growth parameters, yield attributes, yield, Zinc content and uptake of Zn into grains and straw, were increased significantly with SRI method (M3) followed by direct seeding in Lines after pre-irrigation (M2). Amongst zinc management, all the growth parameters and yield attributes of rice were maximum under Seedling dipping in 2% ZnSO4+ 2 Foliar of Zn@0.5% at tillering and panicle initiation stage, followed by Seedling dipping in 2 % ZnSO4 solution+ Foliar spray of Zn@0.2% at tillering and panicle initiation stage the maximum gross income of Rs 158938.18 ha-1 was accrued with (SRI method + T4) treatment combination. However, a combination of SRI method along with T3 treatment accrued the maximum net profit of Rs 107981.21 ha-1 and benefit: cost ratio of 2.08 which was followed by a combination of SRI method along with T4 with net income of Rs 107234.99 ha-1 and benefit cost ratio of 2.07.

Impact of Levels of Nutrient Management on Economics of Soybean-onion and Soybean-potato Cropping System

Background: Nutrient management and cropping sequence are two important factors which affect productivity and profitability of crop. Profitability is one the important part of the successful crop production. Soybean fixes atmospheric nitrogen in soil and partially fulfills the nitrogen requirement of succeeding crops. There is a need for a suitable substitute crop or cropping systems after soybean to improve the soil fertility and productivity to maximize the profitability. The plains of Maharashtra are well suited for onion and potato cultivation. There is scope for increasing the area, production and productivity of onion and potato crop. Majority of farmers in Maharashtra following soybean-wheat and soybean-chickpea crop sequence while in present investigation soybean is grown in sequence with vegetable crop such as onion and potato which could help to increase profitability through higher net return and B: C ratio. Methods: The experiment was laid out in split plot design with three replications. Six combinations of two crop sequences (soybean-onion and soybean-potato) and three levels of nutrient management viz., 50% RDF+FYM 5 t ha-1+ biofertilizer (N1), 75 % RDF+ FYM 5 t ha-1+ biofertilizer (N2) and 100 % RDF+ FYM 5 t ha-1+ biofertilizer (N3) were the main plot treatments in kharif season replicated three times in randomized block design. During rabi season each main plot treatment of nutrient management level was split into three sub plot treatments with three levels of recommended dose of fertilizer viz., 75% RDF (F1), 100% RDF (F2) and 125% RDF (F3) to rabi season crops resulting in eighteen treatment combinations replicated three times in split plot design. The data pertaining to growth characteristics, yield characteristics, economics of soybean (kharif) and onion or potato (rabi) was collected at regular interval in 2017-18, 2018-19 and 2019-20 at Agronomy Farm, Dr. PDKV, Akola which was analyzed statistically in SPD (split plot design). Result: Soybean-onion crop sequence registered higher profitability in terms of GMR, NMR and B: C in comparison with soybean - potato crop sequence. Soybean crop supplied with 100% RDN+ 5 t FYM ha-1 + Biofertilizer (Rhizobium japonicum+ PSB+ Tricoderma viridi) recorded highest GMR, NMR and B:C ratio over lower levels of treatments in all year experimentation. Rabi crops treated with 125% RDF recorded GMR, NMR and B:C ratio over lower levels of treatments in all years of experimentation.

Performance of Bt cotton evaluated in relation to mulching and weed control measures in northwest India

BackgroundWeed infestation in cotton has been reported to offer severe competition and cause yield reduction to a large extent. Weeding via cultural practices is time consuming, tedious, and expensive due to long duration of cotton crop and regular monsoon rains during cotton production in India. Chemical weed control has been successfully utilized in cotton in the recent past. However, continuous use of similar herbicides leads to resistance in weeds against herbicides. And when sprayed to the field, herbicides not only suppress weeds but leave undesirable residues in the soil that are hazardous to the environment. Therefore, a study was performed at cotton research area at Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana during two consecutive kharif seasons (2020 and 2021) to determine the most suitable and sustainable weed management strategy through the integration of chemical and cultural methods.ResultsMulching with rice straw of 7.5 t ha−1 resulted in significantly higher cotton seed yield (3 189 and 3 084 kg ha−1) and better weed control in comparison to no mulch treatments (2 990 and 2904 kg ha−1) in 2020 and 2021, respectively. Among various weed management levels, the significantly lowest cotton seed yield was recorded in untreated control (1 841 and 1 757 kg·ha−1 during 2020 and 2021, respectively) in comparison to other treatments while all other treatments were statistically at par with each other during both years of crop experimentation.ConclusionMulching with rice straw of 7.5 t·ha−1 along with a pre-emergence application of pendimethalin (active ingredient) at 1.5 kg·ha−1fb (followed by) one hoeings at 45 days after sowing (DAS) and fb glyphosate 2 kg·ha−1 (Shielded spray) at 90 DAS is a viable option for effective control of grassy and broadleaved weeds in Bt cotton in north-west India.

Impact of Maleic Hydrazide Foliar Application on In situ Germination, Seed Yield and Seed Quality Parameters in Groundnut (Arachis hypogaea L.)

In the 2023 kharif season, a field experiment was conducted at the All India Coordinated Research Project on Groundnut, Main Agricultural Research Station, University of Agricultural Sciences, Dharwad, Karnataka. The study aimed to investigate the impact of foliar application of maleic hydrazide on in situ germination, seed yield, and seed quality parameters in groundnut (cv. Dh 86). The findings indicated that foliar spray of maleic hydrazide @ 3000 ppm resulted in lower in situ germination (24.64%), higher yield attributes like pod yield per plant(9.35 g), kernel yield per plant (6.67 g), shelling percentage (71.47%), hundred seed weight(39.65 g) and sound mature kernel (96%) and lower seed quality parameters like germination (66%), root length (13.50 cm), shoot length (8.13 cm), mean seedling length(21.63 cm), seedling dry weight (332 mg) and seedling vigour index I &II (1428 & 21912) as compared to control. Indicating induction of dormancy through foliar spray of maleic hydrazide.

District Level Crop Weather Calendars and Advisories for Kharif Rice in Odisha, India

The crop weather calendar is a visual depiction of key facts about crop growth phases, typical crop water requirements, and alerts that should be sent out in response to weather that is conducive to the spread of pests and diseases. Farmers and other stakeholders may successfully plan crops, schedule irrigation, and take plant protection measures by using these calendars, which are practical and helpful tools for farmers. The crop weather calendars are prepared in different languages for better understanding to farmers and explain the usage importance and plan farm operation and activities by taking decisions as per the prevalent crop weather conditions in fields. It plays a vital role for important crops and various varieties through research & development-based process at village/ panchayat level. It also helpful for improving the quality of medium range weather forecast based on Agro-Advisory Services (AAS). The AAS provides strategies based on weather for crop and livestock management to increase production and food security. The AAS has been useful to advise farmers regarding farm operations to manage the inclement weather for effective crop production in the changing environment. The Research was carried out on the studies of crop weather calendar on Rice crop in different districts of Odisha by All India co-ordinated research project on Agrometeorology, Bhubaneswar centre with the support of Agro Meteorological Field Unit (AMFU). It has been prepared with an objective to study climate normal of past 30 years from (1993-2023). Climatic data of Rice crop in Kharif season has been taken 25th SMW to 42nd SMW for medium duration (125 days) and 26th to 49th SMW for long duration (150 days) Rice crop in both English and Odia (local) languages for the coastal districts i.e (Khordha, Puri, Kendrapada and Jagatsinghpur) of Odisha. From the crop weather calendar the medium duration of rice crop, it was found that for sowing to seeding the mean temperature is 290C, before the transplanting and the water requirement of 670-690 mm is found congenial for better yield of the crop. The growth of the crops severely affected where the temperature falls below 200C, for high yielding of Rice crop during the kharif season the favourable weather conditions are Tmax: 300C, Tmin: 260C, Rainfall: 78 mm to 110 mm during the 29th to 30th week with RH 87%. For the pest likes stem borer and leaf folder the congenial weather conditions are Temperature :20 to 300C, RH:87%, Wind speed (Km/h) <5 and Rainfall: 00-30 mm. Similarly for Blast and BLB diseases, the favourable conditions during the 28th-31st week to 48th week, when the temperature range 20-300C, RH=> 90 %, Wind speed < 5 (Km/h) RH:30-50%. It has been found that the severity of pest and diseases increases with decreases in temperature and High RH and very low rainfall.

2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage

Pakistan was hit by the world's deadliest flood in June 2022, causing agriculture and infrastructure damage across the country. Remote sensing technology offers a cost-effective and efficient method for flood impact assessment. This study is aimed to assess the impact of flooding on crops and built-up areas. Landsat 9 imagery, European Space Agency-Land Use/Land Cover (ESA-LULC) and Soil Moisture Active Passive (SMAP) data are used to identify and quantify the extent of flood-affected areas, crop damage, and built-up area destruction. The findings indicate that Sindh, a province in Pakistan, suffered the most. This impact destroyed most Kharif season crops, typically cultivated from March to November. Using the SMAP satellite data, it is assessed that the high amount of soil moisture after flood also caused a significant delay in the cultivation of Rabi crops. The findings of this study provide valuable information for decision-makers and stakeholders involved in flood risk management and disaster response.

Influence of Different Sources and Levels of Phosphorus on Nutrient Use Efficiency (NUE) and Properties of Low Calcareous Soil

A field experiment was conducted during kharif season of 2023 at Post Graduate Instructional Farm, College of Agriculture, Pune to study the impact of different phosphorus sources and levels on soybean growth and nutrient uptake in low calcareous soil. The experiment was laid out in randomized block design having eight treatments with three replications. The treatments comprised T1 - Absolute control, T2 - RDF (50:75:45 kg ha-1 N: P2O5: K2O), T3 - 50% P2O5 through PROM, T4 - 75% P2O5 through PROM, T5 - 100% P2O5 through PROM, T6 - 100% P2O5 through DAP + FYM @12.5 t ha-1, T7 - 100% P2O5 through SSP + FYM @12.5 t ha-1 and T8 - 100% P2O5 through vermicompost. The soil of experimental site was clay loam in texture. The findings of the present investigation revealed that the higher nutrient use efficiency was registered in treatment 100% P2O5 through SSP + FYM @12.5 t ha-1 (16.25 kg kg-1). The application of 100% P2O5 through PROM recorded higher nutrient use efficiency (13.31 kg kg-1) over RDF (11.52 kg kg-1). In respect of agronomic nutrient use efficiency, 100% P2O5 through SSP + FYM @12.5 t ha-1 registered higher nitrogen (40 kg grain kg nutrient-1), phosphorus (26 kg grain kg nutrient-1) and potassium efficiency (44 kg grain kg nutrient-1) to soybean crop. The agronomic efficiency of nitrogen, phosphorus and potassium was observed higher in treatment 100% P2O5 through PROM over treatment RDF. After harvest of crop the soil pH was remained unaffected while the electrical conductivity of soil was significantly higher in 100 % P2O5 through vermicompost and PROM to soybean crop. The application of 100% P2O5 either through vermicompost or PROM recorded at par organic carbon content in soil (0.66% and 0.64% respectively). The application of 100% P2O5 through PROM significantly reduced calcium carbonate (6.29%) in soil. The 100% P2O5 through SSP + FYM @12.5 t ha-1 showed higher available nitrogen in soil (297.33 kg ha-1) while the application of 100% P2O5 through DAP + FYM @12.5 t ha-1 exhibited higher level of available phosphorus and potassium content in soil (41.33 and 745.33 kg ha-1, respectively). Further, the application of 100% P2O5 through vermicompost was also significantly superior in available micronutrients like iron (5.7 mg kg-1), manganese (9.9 mg kg-1), zinc (4.6 mg kg-1) and copper (10.4 mg kg-1). The application of 100% P2O5 through PROM registered significantly higher available nitrogen (287.33 kg ha-1), available phosphorus (37.33 kg ha-1), available potassium (737.67 kg ha-1), available micronutrients viz. iron (5.4 mg kg-1), manganese (9.2 mg kg-1), zinc (4.4 mg kg-1) and copper (10.4 mg kg-1) over recommended dose of fertilizers. In general, the integration of organic fertilizers, FYM, PROM and vermicompost, with chemical fertilizers can significantly enhance nutrient use efficiency, soil nutrient content, improve soil health and increase soybean yield in low calcareous soils.

Assessing the Zinc, Boron and Rhizobium Inoculation on Yield and Economics of Kharif Mungbean (Vigna radiata L.)

The present experiment was carried out during kharif season of 2021 and 2022 at Instructional farm, Kamla Nehru Institute of Physical and Social Sciences Sultanpur, U.P. India. Four levels of zinc (0, 2.5, 5.0 and 7.5 Kg Zn ha-1), three levels of boron (0, 0.5 and 1.0 Kg B ha-1) and two levels of rhizobium i.e. Uninoculated (Control) and inoculated. A split-split plot design with three replications was used. Zinc levels were allocated to the main plots, boron levels in the sub-plot, while Rhizobium inoculation in the sub-sub plot. Results revealed that dry weight and seed and stover yield was observed that Rhizobium inoculation with application of zinc 7.5 kg ha-1 and Application of boron 1.0 kg ha-1. Obtaining seed yield from Rhizobium inoculation (8.53 and 8.71 q/ha-1) with application of zinc (8.53 and 8.79 q/ha-1) and Application of boron (8.45 and 8.70 q/ha-1). The highest net return (Rs. 58211.0 and 65488.50 ha-1) and benefit cost ratio (1.75 and 1.97) were obtained with 7.5kg Zn ha-1 + 1 kg B ha-1 + seed inoculation with rhizobium. It could be recommended for cultivation of mungbean.

Estimating the effect of biological nitrification inhibition-enabled sorghum on nitrogen fertilizer consumption, life cycle GHG emissions, farmer's benefit and fertilizer subsidy from Indian sorghum production

Biological nitrification inhibition (BNI) effectively curtails nitrogen (N) loss and enhances N utilization efficiency. BNI is increasingly important as a technology for mitigating greenhouse gas emissions and water pollution in countries with high N fertilizer consumption. This study aimed to evaluate the potential impacts of BNI-enabled sorghum varieties with a 30 % soil nitrification inhibition rate for a major sorghum-growing state (Maharashtra, India). We analysed the farm survey data collected for Rabi sorghum in 2020–2021 (n = 250) and for Kharif sorghum in 2022 (n = 209). Life cycle greenhouse gas (LC-GHG) emissions were estimated using a life cycle assessment with a cradle-to-farm gate perspective. The results showed that adoption of BNI-enabled sorghum reduced N fertilizer application in the Rabi and Kharif seasons by 8.0 % and 7.4 % and area-scaled/yield-scaled LC-GHG emissions by 15.6 % and 11.2 %, respectively, while increasing farmers' benefits slightly. These changes could reduce the government's expenditure on urea fertilizer subsidies by 9.1 %. However, many farmers indicated that they would not change N fertilizer application even if the yield per N fertilizer application increased. Even under these circumstances, area-scaled/yield-scaled LC-GHG emissions will be decreased by 11.3 % and 13.5 % in the Rabi season and 8.1 % and 10.2 % in the Kharif season, respectively. The yield and farmers' benefit will increase by 2.5 % and 4.9 % in the Rabi season and by 2.4 % and 6.5 % in the Kharif season, respectively, but the government's expenditure on fertilizer will not decrease. These results indicate that BNI-enabled sorghum can be introduced into countries where fertilizer use is low. This study shows the potential impacts of BNI-enabled sorghum under two scenarios; N fertilizer consumption is reduced or maintained. Discussions on the N fertilizer consumption under BNI-enabled sorghum are needed to establish a sustainable food system, especially in countries with high N fertilizer consumption.

Seed Yield, Seed Attributes and Economics of Alfalfa Seed Production as Influenced by Integrated Nutrient Management During kharif Season under Southern Dry Zone of Karnataka, India

The field experiment was carried out at the farm field of Krishi Vigyan Kendra, Konehalli, Tiptur taluk, Tumkuru, Karnataka during Kharif season of 2017-18 to examine the effect of integrated nutrient management on seed yield, seed attributes and net benefit of alfalfa. The experiment was laid out Randomized complete block design (RCBD) comprising nine treatments viz T1 : RDF (25:50:25 kg NPK/ha + 10 t/ha FYM); T2 : 75% RDF + 25% N through FYM; T3 :75% RDF + 25% N through Vermicompost; T4 :75% RDF + 25% N through Poultry manure; T5 : 50% RDF + 25% N through FYM + Rhizobium + PSB+VAM ; T6 :50% RDF + 25% N through Vermicompost+ Rhizobium + PSB+VAM; T7 :50% RDF + 25% N through Poultry manure+ Rhizobium + PSB+VAM ;T8 : RDF + Rhizobium + PSB+VAM ;T9 : 10 t/ha FYM + 100% N through FYM and replicated four times. The results of experiments revealed that the plants supplied with of 50 % RDF + 25 % N through vermicompost + Rhizobium + PSB + VAM shown highest fresh herb yield at first harvest (160.65 q/ha), herb yield after harvest of seeds (187.50q/ha), 50% flowering (35.00 days), pod initiation (48.50days), pod maturation (73.05 days), while, lower fresh herb yield, pod initiation, pod maturation were recorded when 10 t/ha FYM + 100 % N through FYM was applied. The maximum pod (56.78 %), number of pods (228.75/plant), pod yield (19.90/plant), pod length (6.25 mm), pod weight (87.61 mg), seed set (56.50 %), number of seeds (5.50/pod), test weight (3.33g), seed yield per hectare (223.38kg/ha) and highest net return per hectare were recorded with 50 % RDF + 25 % N through vermicompost + Rhizobium + PSB + VAM. while, poor performance with regard to these parameter were recorded with application of 10 t/ha FYM + 100 % N through FYM. Therefore, application of 50 % RDF + 25 % N through vermicompost + Rhizobium + PSB + VAMmay be recommended for commercial seed productionin Alfalfa during kharif season under southern dry zone of Karnataka.

Impact of Combining Bio-Inoculants along with Inorganic Fertilizers on Soil Biological Characteristics in Transplanted Rice (Oryza sativa L.) Crop

A field experiment was carried out during the Kharif season in the year 2022 to assess the impact of inorganic fertilizers along with Bio-inoculants on soil biological properties in rice (Oryza sativa L.). The experiment consists of seven treatments viz., T1 Control, T2 100% RDF (150, 60, 40 N2, P2O5, K2O kg ha-1), T3 80% RDF + 10 kg BGA ha-1 Soil application + PSB (Phosphate solubilizing bacteria) 3kg/ha, T4 60% RDF + 10kg BGA ha-1 Soil application + PSB, T5 80% RDF + 500kg Azolla ha-1 Soil application +PSB, T6 60% RDF + 500kg Azolla ha-1 Soil application +PSB and T7 10kg BGA ha-1 Soil application + 500kg Azolla ha-1 Soil application + PSB were comprised in Randomized Block Design with three replication. The incorporation of inorganics, Azolla PSB, and BGA (bio-inoculants) actively activated microbial activities, resulting in a greater increase in the populations of total bacteria, actinomycetes, and fungi was observed throughout all growth stages, regardless of the treatments applied, when compared to their initial densities. This phenomenon supports the notion of a stronger rhizosphere effect. This trend aligns with the rise in organic carbon content. Moreover, soil dehydrogenase, alkaline phosphatase activities, along with microbial biomass carbon, displayed an upward trend in tandem with the progressive growth phases of the rice plant.

Effective weed control through post-emergence herbicides to enhance blackgram (Vigna mungo L.) productivity in South India

Pulses are essential components of vegetarian diet and play a pivotal role in addressing malnutrition by providing a vital source of dietary protein. However, weed competition remains as a significant obstacle to blackgram (Vigna mungo L) production, resulting in 25 to 35% yield losses. A field experiment was carried out at the National Pulses Research Centre, Tamil Nadu Agricultural University, Vamban, Pudukkottai, India during Kharif seasons of 2020 and 2021, to assess the suitable post-emergence herbicides for appropriate weed control in blackgram grown under irrigated conditions. The experimental field was observed to contain notable grass weed flora, specifically Dactyloctenium aegyptium and Chloris barbata, as well as broadleaved weeds, such as Flaveria australica, Cleome gynandra, Eclipta alba, Convolvulus arvensis, Digera arvensis, Vicia spp., and Celosia argentea. The results demonstrated that among the chemical weed management methods, spraying of Fomesafen @ 220 g + Fluzifop p-butyl @ 220 g ha−1 at 20 days after sowing (DAS) as a post-emergence herbicide treatment exhibited superior weed control efficiency, recording 66.80% and 68.53% at 30 and 45 DAS, respectively and recorded higher seed yield of 1088 kg ha−1. Additionally, this method generated 8.1% higher net income and 12.5% more benefit–cost ratio than hand weeding, making it an economically profitable strategy for maximizing blackgram yield and effective labour management.

Estimation of Monthly Irrigation Water Requirement of Crops Using CROPWAT

Water is increasingly becoming a limited resource due to rising demands for various uses, including hydropower generation, irrigation, and domestic supply. As the population grows, the need for water across different sectors constantly increases. However, the availability of water resources is restricted both spatially and temporally. Therefore, there is an urgent need for systematic and scientific planning to ensure its optimal use. Agriculture sector being the major consumer of water resources, the adoption of modern irrigation techniques can significantly reduce water consumption and promote water conservation. This advancement will expand the irrigated areas and ultimately lead to increased agricultural productivity. Irrigation water requirements of major crops, namely, Paddy, maize, sugarcane etc. are determined using the CROPWAT model. The present study aimed to find out the irrigation water requirement for the major crops grown in Krishna Central Delta, Andhra Pradesh. Results revealed that irrigation water requirement for kharif season ranges from 89-475 mm and in rabi season varies from 320-821 mm. For sugarcane irrigation water requirement was found to be 927 mm.

Multisensor Integrated Drought Severity Index (IDSI) for assessing agricultural drought in Odisha, India

Recurrent droughts in India have severely impacted the economy and the quality of life. The agricultural drought from June to October 2023 in Odisha (the Kharif season), India, highlighted the urgent need for precise monitoring and assessment due to its significant effects on crop yield and food security. This study develops and validates the Multisensor Integrated Drought Severity Index (IDSI) to accurately assess agricultural drought severity using multiple remote sensing indices, including optical, thermal, and microwave sensors. Ten indices were computed and combined using the Analytic Hierarchy Process (AHP) to assign weights, aiming to establish a new agricultural drought index that can monitor severity, identify critical indices, and assess uncertainties in affected areas. Validation results from ROC-AUC indicate that the IDSI model achieved a precision exceeding 85% using empirical weights. The study area's mapping shows that approximately 8.91% experience extreme drought conditions, with significant impacts in specific districts of Odisha. This comprehensive tool provides critical insights for policymakers and farmers, enhancing global drought preparedness and response strategies through its adaptable methodology.

Yield and economic impact of spacings and varieties of rajma (Phaseolus vulgaris L.) cultivation during kharif season

Yield and economic impact of spacings and varieties of rajma (Phaseolus vulgaris L.) cultivation during kharif season

Cryopreservation Protocol for Cowpea Pollen Storage

BACKGROUND: Long-term storage of cowpea pollen is important for the fertilization of spatially or temporally isolated female parents, especially during cowpea crop improvement and wide hybridization programs. OBJECTIVE: Experiments were conducted to determine pollen longevity at different storage temperatures and to develop a cryopreservation protocol for pollen of different cowpea accessions. MATERIALS AND METHODS: The investigation was carried out at the Research Farm of ICAR-NBPGR, New Delhi, India, during the kharif (rainy) season of 2022. Pollen viability was studied after storage for 1, 3, 6, 12 and 24 h, 1 and 2 weeks and 1, 3 and 5 months at three different temperatures (4, -20 and -196 ºC). RESULTS: Fresh pollen viability ranged from 78 to 91 %. The optimal pollen moisture content was 12-14 % and the optimal air desiccation period under the laminar air flow chamber (22±1 °C) was 5 min for subsequent preservation at -196 °C. Pollen viability was lost completely at 4 and -20 °C after 1 and 2 weeks of storage, respectively. Pollen stored in liquid nitrogen (-196 ºC) retained vaiblity similar to that of fresh pollen for > 5 months storage. Pollination using cryostored pollen resulted in normal fertilization. CONCLUSION: This finding opens a gateway for cowpea haploid germplasm conservation and wide hybridization programs.

Nutrient and energy conservation through nano-fertilizers in maize

In the current scenario, achieving food security while conserving resources and energy is a significant challenge. Maize is a widely cultivated but nutrient-exhaustive crop. The adoption of nanotechnology-based nano-fertilizers offers a pathway to achieving sustainable yields while reducing fertilizer requirements and conserving energy. A field experiment was conducted during the Kharif season of 2021 to explore nutrient and energy conservation through nano-fertilizers in maize at the University of Agricultural Sciences, GKVK, Bengaluru. The experiment involved nine treatments comprising various combinations of the recommended dose of fertilizers (RDF) with nano-urea and nano Di-Ammonium Phosphate (DAP) under a Randomized Complete Block Design (RCBD). The results indicated that Treatment T5 - 75% of the Recommended Dose of Nitrogen (RDN) + Nano-N—achieved a higher yield (10.20% higher than the conventional practice, T1-RDF + Farmyard Manure (FYM)) and improved nutrient uptake at harvest [299.22, 55.56, and 208.26 kg of nitrogen (N), phosphorus (P), and potassium (K) per hectare, respectively]. This treatment also demonstrated greater physiological efficiency (36.11, 200.66, and 52.70 kg of maize per kg of N, P, and K, respectively), higher energy output (260,851 MJ ha?¹), improved energy use efficiency (16.93), enhanced energy productivity (0.627 kg MJ?¹), and better energy profitability (15.93). Using 75% of RDN + Nano-N increases yield while reducing fertilizer use and conserving energy.

Early Season Crop Acreage Estimation for Pigeon Pea using SAR Data: A Case Study of Kalaburagi District, Karnataka

Crop acreage estimates using space-based observations during mid-season and pre-harvest periods are operationally provided for major Kharif and Rabi crops in India. These are critical inputs for planning and decision-making concerning food security, storage, pricing, and procurement. This work explores the potential of Satellite C-band Synthetic Aperture Radar (SAR) data in VV and VH polarization, acquired during monsoon season, for early crop acreage assessment of Pigeon Pea. The present study evaluates two classification approaches based on multi-temporal SAR data to generate a spatial distribution map of the pigeon pea crop in the Kalaburagi region of Karnataka. The temporal profiles of sigma nought (backscatter coefficient) and Entropy vs. Alpha Angle were studied with reference to crop phenology. Random forest algorithm has been used to classify multi-temporal SAR Ground Range Detected (GRD) data from June to November 2019. Temporal SAR data from June to early November with VV+VH polarization was optimal for tur area assessment with 85% accuracy. This study also examines phase and intensity information from 3-date SAR Single Look Complex (SLC) data with an unsupervised Wishart Classification approach for improved crop acreage estimation. The results emphasize the effectiveness of dual-polarimetric SAR data for timely crop inventory of Pigeon Pea during the Kharif season.

Impact of Tree Geometry on the Growth and Yield Performance of Black Gram (Vigna mungo L.) under Kadam (Neolamarckia cadamba Roxb.) based Agroforestry System

Agroforestry is an environmentally conscious and comprehensive method of land management that entails cultivating agricultural crops, forest trees, and animals in conjunction on the same parcel of land through the implementation of suitable management strategies. The present study entitled “Impact of tree geometry on the growth and yield performance of Black Gram (Vigna mungo L.) under Kadam (Neolamarckia cadamba Roxb.) based Agroforestry System” was conducted during the Kharif season of 2022-23 within an already established 2-year-old plantation situated at Forestry research farm, RLBCAU, Jhansi. The study encompasses three different spacings, i.e., S1- 5 m x 5 m, S2- 5 m x 4 m and S3- 5 m x 3m. A randomized block design having four treatments each replicated five times was laid out, Outcomes of research revealed that sole cropping of black gram exhibited higher plant height (77.44 cm), leaf and branch numbers (6.38 and 5.32, respectively), dry matter accumulation (17.05 g/plant for above-ground and 2.12 g/plant for below-ground), leaf area (2183.06 cm2), root nodules (11.54), shorter phenological duration viz., 50% flowering, 50% pod setting and maturity (40.11 days, 54.49 days, and 70.84 days, respectively). It also demonstrated significantly higher yield attributes such as number of pods and seeds per pod (27.28), number of seeds per pod (5.82), test weight (36.73 g), grain yield (0.79 t ha-1), straw yield (1.78 t ha-1), biological yield (2.57 t ha-1), harvest index (30.63 %), and grain-to-straw ratio (0.44) compared to the intercropped. Among all the agroforestry treatments Neolamarckia cadamba at 5 m × 5 m with Vigna mungo, found to perform better than closer spacing (i.e., 5 m x 4 m and 5 m x 3 m) spatial arrangements. The study encountered challenges in achieving an optimal balance between tree-crop interactions and resource competition, which are critical factors in agroforestry systems. Nevertheless, it provides significant contributions by offering insights into the optimization of tree geometry, enhancing both yield performance and the sustainability of such integrated systems.