Agro-climatic Zones Research Articles

First report of aflatoxin and ochratoxin contamination in ginger collected from different agroclimatic zones from Punjab, Pakistan

Ginger, a fresh rhizome, an economically important spice with extensive nutraceutical activities finds itself in vegetable and therapeutic market. Aflatoxins (AFB1, AFB2, AFG1 and AFG2) along with ochratoxin A (OTA) are the most significant and the most toxic form of mycotoxins which are produced by various fungi. This study was initiated to assess the contamination of AFs and OTA in raw and dried ginger products, collected from different agro-climatic zones in Punjab, Pakistan employing the high performance liquid chromatography. We found all (raw ginger samples commercial ginger powders) samples contaminated with AFB1 (range: 29.88-1060.12μg/kg). AFB2 contamination was much lower (range: 0 to 17.54μg/kg). Variable contamination of AFG1 was also observed (range: 0 to 170.58μg/kg) whereas AFG2 contamination was found in only three (range: 0 to 21.88 μg/kg) out of 19 raw ginger samples. OTA contamination ranged from 0.05-3.42μg/kg. Ginger samples from lower altitudes (<1000 m) were more contaminated with AFB1 sub type mycotoxin. Keeping in view that the toxicity of AFs is in the order of B1>G1> B2>G2, it was alarming to find that 100% of the samples were contaminated with AFB1 way beyond the permissible limits. Our very first report about the contamination of ginger with AFs presents a grave health issue because of wide use of ginger. We conclude that ginger production in Pakistan needs to be carefully crafted and due diligence is needed during ginger cultivation, harvest and post-harvest operations because the amount of aflatoxins detected in this study are very much above the permissible limits. In this regard, ginger storage in cooler environments such as refrigerator should be encouraged to contain the AFs proliferation.

Site Suitability Analysis for Farmlands in Agro-Climatic Zone of Andhra Pradesh using Geo-Spatial Techniques

Abstract: The Anantapur region has moderately healthy vegetation, which produces impressive biodiversity, climate variations, and a variety of wildlife and flora. As a result, the southern areashave a lot of room for agricultural growth to support rural economies. The Northern part's potential for agriculture in this region has been limited by several physical obstacles, including ahigh slope and elevation, built-up area, a lack of irrigation infrastructure, dry soil, poor rainfall, and socio-economic problems. Planning the expansion of agricultural output can benefit from researching a location's suitability for a particular purpose. Using a GIS-based multi-criteria decision-making technique based on DEM and Landsat 8 satellite data, AHP will be utilised to evaluate site suitability for agricultural production in unused areas. A pairwise comparison matrix will be used to set the weights. It will help to determine whether hilly terrain is suitable for farming using the study's techniques, approaches, and findings.

Assessment of Lepidopteran Pest Dynamics in Maize: Dominance of Spodoptera frugiperda and Implications for Targeted Management in Himachal Pradesh, India

Maize (Zea mays L.) plays a crucial role in the agricultural economy of India, particularly in Himachal Pradesh, where it serves as a vital crop for food, feed, and fodder. This study assessed the distribution, and relative abundance of lepidopteran pests infesting maize during the kharif, 2022-23 across two agro-climatic zones of Himachal Pradesh. Surveys identified five key lepidopteran pests: Spodoptera frugiperda, Chilo partellus, Mythimna separata, Agrotis ipsilon, and Euproctis spp. Among all, S. frugiperda is the only pest occurring among the major three crop stages of maize. The findings revealed that S. frugiperda was the most dominant pest, with relative abundance values of 19.57 per cent in Zone I and 18.94 per cent in Zone II during the seedling stage, increasing to 30.87 per cent and 30.40 per cent during the vegetative stage, respectively. In contrast, other pests like C. partellus, M. separata, A. ipsilon, and Euproctis spp. exhibited variable distribution patterns, with some showing limited occurrence. In conclusion, this study underscores the necessity for targeted pest management strategies to address dominant and subdominant lepidopteran pests in maize cultivation in Himachal Pradesh. The results offer valuable insights that can inform focused pest control efforts, with the potential to significantly enhance sustainable maize production, crop resilience and overall productivity in the region.

Performance Evaluation of CMIP6 Climate Model Projections for Precipitation and Temperature in the Upper Blue Nile Basin, Ethiopia

The projection and identification of historical and future changes in climatic systems is crucial. This study aims to assess the performance of CMIP6 climate models and projections of precipitation and temperature variables over the Upper Blue Nile Basin (UBNB), Northwestern Ethiopia. The bias in the CMIP6 model data was adjusted using data from meteorological stations. Additionally, this study uses daily CMIP6 precipitation and temperature data under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios for the near (2015–2044), mid (2045–2074), and far (2075–2100) periods. Power transformation and distribution mapping bias correction techniques were used to adjust biases in precipitation and temperature data from seven CMIP6 models. To validate the model data against observed data, statistical evaluation techniques were employed. Mann–Kendall (MK) and Sen’s slope estimator were also performed to identify trends and magnitudes of variations in rainfall and temperature, respectively. The performance evaluation revealed that the INM-CM5-0 and INM-CM4-8 models performed best for precipitation and temperature, respectively. The precipitation projections in all agro-climatic zones under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios show a significant (p &lt; 0.01) positive trend. The mean annual maximum temperature over UBNB is estimated to increase by 1.8 °C, 2.1 °C, and 2.8 °C under SSP1-2.6, SSP2-4.5, and SSP5-8.5 between 2015 and 2100, respectively. Similarly, the mean annually minimum temperature is estimated to increase by 1.5 °C, 2.1 °C, and 3.1 °C under SSP1-2.6, SSP2-4.5, and SSP5-8.5, respectively. These significant changes in climate variables are anticipated to alter the incidence and severity of extremes. Hence, communities should adopt various adaptation practices to mitigate the effects of rising temperatures.

Occurrence, distribution and description of Harmonia dimidiata (Fabricius), a predacious Coccinellid from West Bengal, India

Aim: To provide information about the occurrence and distribution of Harmonia dimidiata from West Bengal and facilitate the identification of species based on morpho-taxonomy. Methodology: Survey was done in different agro-climatic zones of West Bengal. Specimens were procured from their associated host plants, brought to the laboratory and investigated for taxonomic characters. Results: The morpho-taxonomy of H. dimidiata, as well as its host record, and distribution, were fully explained in the present investigation. It is most common in hill, terai, and old alluvial zone of West Bengal. They have been observed preying on Rhopalosiphum maidis (Fitch) in corn and Aphis gossypii (Glover). Interpretation: H. dimidiata population were recorded during survey from four different agro-climatic zones of West Bengal. They were observed to be preyed upon A. gossypii and R. maidis. The information about the biodiversity of H. dimidiata and their role as predator of numerous agriculturally important crop pests are extremely valuable that enrich our knowledge and immensely help in devising a pest management programme considering them as an important biocontrol agent. Furthermore, research on their biodiversity aids in learning about the predaceous behaviour in connection with the pest and crop populations, their reproduction and occurrence. This information is indeed praiseworthy while exploiting the ladybird species, H. dimidiata for a commercial biocontrol operation. Key words: Coleoptera, Coccinellidae, Harmonia dimidiata, Predaceous, West Bengal

Satellite Based Composite Weather Insurance Product for assessing mid-term adversary

The present study formulated a satellite-based rainfall insurance product (SRIP) at sub-seasonal scale during 2015–2020 by integrating meteorological, geophysical and vegetation index products e.g. rainfall (CHIRPS:Climate Hazards Group InfraRed Precipitation with Station), soil moisture (SMAP), normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) from moderate resolution imaging spectro-radiometer (MODIS). The SRIP was meticulously designed to integrate both cause (rainfall) and impact (NDVI, NDWI, soil moisture) parameters to enhance the assessment of min-season crop risks, with a particular emphasis on deficit rainfall. The performance evaluation of SRIP was conducted in two distinct agro-climatic zones viz. Deoria district of Uttar Pradesh (Upper Gangetic Plain Region) and Krishna district of Andhra Pradesh (Southern Plateau and Hills Region) spanned from June to October, which aligns with the major crop-growing season corresponding to the Southwest monsoon period in India. Three sets of SRIPs were investigated i.e. SRIP with cause parameter (SRIP1), SRIP with cause-impact parameters with no lag response (SRIP2) and SRIP with cause-impact parameters with one-month lag response (SRIP3). The SRIP was structured to provide a numerical index on a scale ranging from 0 to 1, representing poor to good crop-growing conditions that could effectively identify the rainfall deficit threshold (SRIP≤0.43) corresponding to negative percent deviation in rainfall (PDR≤−20%). This threshold level was recognized for compensation of triggers at the multiple crop growth phases during the crop-growing season. The district average of SRIP and PDR showed fair correlation co-efficient (0.77 ≤ r ≤ 0.88). Good correlation between sub-seasonal (monthly, bi-monthly, tri-monthly) SRIP and normalized MODIS Gross Primary Productivity (0.65 ≤ r ≤ 0.98), and SRIP deviation and yield deviation (0.45 ≤ r ≤ 0.97) reflect sensitivity of SRIP to crop carbon productivity and crop yield. The findings of the present study recommend SRIP not only a multi-phase composite index for assessing mid-season crop risks in terms of rainfall deficit for clusters of insurance units, but it has the potential to be used by insurance agencies to settle the claims by farmers in a transparent and faster manner for crop loss due to large-scale rainfall deficits. However, SRIP needs to be customized in future to make it more adaptable to settle insurance claims due to weather adversaries at individual farm level.

Stability analysis on elite genotypes of Indian Mustard (Brassica Juncea L.) in Terai Agro-Climatic Region

Abstract Among the oilseed crops, mustard has gained precedence in the human diet due to its superior oil quality. Genotype × environment interactions have a significant effect on plant breeding because it reduces the stability of the genotypes in diverse environments. In order to assess the impact of environments on genotypes and determine the stable genotypes in terms of seed yield and yield attributing characters in the terai agro-climatic zone, seventy-one Indian mustard genotypes were evaluated during two consecutive years,namely, 2017-18 and 2018-19, focusing on nine quantitative characters across six environments. Eberhart and Russell model (1966) of stability analysis revealed that various genotypes exhibited adaptability to favourable and unfavourable environments for different characters, influenced by the different sowing dates over the two years. However, Rohini (SC) and KMR-15-14 to be well adapted in terai agro-climatic zone in respect to seed yield and plant height, while Pusa mustard 27 (EJ 17) were adapted to specifically favorable (rich) environment for the seed yield. In terms of secondary branches per plant and number of siliquae on branches, Pusa mustard 27 (EJ 17) showed adaptability across all types of environments. Therefore, Rohini (SC) and KMR-15-14 were identified as stable genotypes for optimum seed yield across different environmental conditions. Keyword: Mustard, G × E interaction, stability, , Regression, Deviation from regression, Brassica juncea

Ecology and diversity of arbuscular mycorrhizal fungi (AMF) in rice (Oryza sativa L.) in South India: an ecological analysis of factors influencing AMF in rice fields.

This study examined the diversity of arbuscular mycorrhizal fungi (AMF), mean spore density (MSD), and root colonization in relation to factors such as agroclimatic zones, rice varieties and soil types in paddy fields of South India. The aim was to understand how these factors influence AMF association in rice, facilitating their effective use as a biological tool in paddy cultivation. AMF were identified through light microscopy of spores, while MSD and percentage-root-length colonization (PRLC) were measured using standard methods. Correlation and principal component analyses were performed to explore the interrelationships between AMF characteristics and various environmental, soil, and plant variables. Sixteen AMF species were identified across 29 rice varieties from three agroclimatic zones, 6 soil orders, and 18 soil series over 2 seasons. Notably, 70% of chemicalized rice fields lacked AMF spores, and only 50% exhibited root colonization. This study offers new insights into the role of AMF in rice cultivation. The AMF diversity and root colonization in relation to environmental variables underscore their significant impact on AMF in particular crop fields.

Impact of Weather Parameters on the Population Fluctuation of Major Sucking Pest in Summer Mung Bean [Vigna radiata (L.) Wilczek

Background: Mungbean may be grown in an extensive range of agro climatic zones in India and across the world. It is a crucial component of our diet. Because of its capacity to fix nitrogen, it also plays a vital role in managing soil fertility. Mung beans are one of the most significant crops for farmers as a cash crop. In order to implement control measures effectively and on schedule, it is crucial to monitor the population dynamics of major sucking pests, such as aphids, jassids and whiteflies in relation of weather parameters. Methods: PDM-139 (Samrat) variety seeds were manually planted 5-7cm deep in the ground. Weekly observations were made from 10 randomly chosen plants Split cage methods were used to record the observations of jassids and whiteflies and aphids from the top and bottom surfaces of the first three trifoliate plants were tallied. Averages population were computed. Result: The incidence of pest population start on the 14-15th standard meteorological weeks which attain their peak population in 19th SMW. The insect-pest population was established positive correlation with the max and min temperature whereas population was negatively correlated with R.H. and Rainfall.

Rainfall characteristics under changing climate in Sundergarh district of Odisha

Most pronounced signal of warming world is the increase in intensity and frequency of extremeevents worldwide. Many researchers have reported the nature of these events in coastal district of Odisha, but forSundergarh district which comes under North-western Plateau Agro-Climatic Zone, it still needed to be studied. Thepresent study was conducted with an objective to study rainfall characteristics - rainfall climatology, rainy days, trend -their deviation and resulting meteorological drought in Sundergarh district of Odisha at block level using 34 years ofdaily rainfall data (1988-2022). IMD classification for rainy days was adopted to determine the frequency of rainy days indifferent categories. SPI was computed using Climpact to determine the occurrence and severity of meteorologicaldrought and identify episodes of dry and wet events during the study period for each block. MK test and Sen’s slopeestimator was used for detecting trend in rainfall (annual and seasonal) and rainy days at 95% significance level. Longterm rainfall analysis reveals that the mean annual rainfall of the district is 1290 ± 314 mm, most of which is receivedduring SW monsoon (86%) followed by post-monsoon (6.2%), pre-monsoon (5.7%) and least during winter (2.1%).Rainfall received in the months of July and August together accounts for more than 50% of the total. Spatial distributionof rainfall indicated that mean annual rainfall varies from 1071 mm (Subdega) to 1578 mm (Bonai). Annually, rainfall isdependable in most of the blocks. However, during pre-monsoon, post-monsoon and winter, CV is very high, so therainfall is not dependable. Bulk of annual rainfall received in the district is contributed by rain events of light to moderatecategory. Direction and magnitude of the trend of rainfall amount and rainy days varies a lot in different blocks. SPI values calculated for the district as a whole shows that frequency of occurrence of these drought events were: mild (34% of months); moderate (7.6% of months); severe (3.3% of months) and extreme (3.2% of months). The present study provides pertinent information on the rainfall climatology and its trend under climate change over the Sundergarh district of Odisha. Finding of the study suggests that there is an urgent need to raise awareness about the climate resilient society, train personnels about sustainable development approaches and highlight the necessity of water harvesting techniques at community level.

Climatic Variations Influenced Distribution and Productivity of Different Agroforestry Systems in Rajasthan, India

Farmers of Rajasthan conserve and promote scattered trees and shrubs growing on farmlands to dealwith climatic adversities. These woody perennials sustain livelihoods by providing economic, social, and environmental benefits. Tree-based farming systems were surveyed in all 10 agroclimatic zones (ACZs) of Rajasthan for screening best models and suggests for further improvement. Trees were assessed for density, and growth parameters in 0.5 ha plots, whereas agricultural crops yields were estimated in1 m2 plots laid at 1 m from tree trunk, canopy edge and 5 m away from trees canopy (control). There were 107 tree-crop combinations involving 14 trees and 21 crop species. P. cineraria-based systems were dominant in the arid western, whereas A. nilotica dominated in semi-arid to dry sub-humidregions. Average tree density was 11.7 trees ha-1 ranging from 3.3 tree ha-1 in ACZ-IIIb to 23.6 tree ha-1 in ACZ-IIa. Senegalia senegal showed highest (27.6 tree ha−1) density. Height and canopy diameter were 11.73 m and 10.35 m respectively, in irrigated ACZ- IIIb and decreased to 6.53 m and 5.02 m in ACZ-IIb, respectively. Both height and density decreased with the decrease in rainfall from south-east to north-west. D. sissoo and T. grandis were taller, S. oleoides was thicker and Z. mauritiana was shorter and thinner than other species. Grain yields varied from 0.66 in ACZ-Ia to 1.85 Mg ha-1 in ACZ-IIIa, but exhibited low yield as compared to control. Crop yield reduced by 22.9-47.3% between ACZs, 20.3-56.5% between agroforestry systems, and 15.9-79.8% between intercrops highlighting the interactive effects of these components. S. senegal, T. undulata, P. cineraria, Z. mauritiana, S. oleoides, V. tortilis and P. juliflora based systems showed 29.1-54.9% low, whereas V. nilotica, D. sissoo, A. indica, T. grandis and V. leucophloea based systems showed 4.5-51.7% high yield over the state average. The yield of groundnut (IIIa), cotton (IVa), barley (IIIa), jowar (IVa), maize (IVa), paddy (V), pearl millet (IIIa) and wheat (V) with A. nilotica was above state average

Growth yield performance of different hybrid cauliflower (Brassica oleraceae var. botrytis L.) cultivars in Dang, Nepal

Cauliflower is commonly grown in terai and mid-hills during the winter season (September to December), thus known as mid-season cole crop in the context of Nepal. As this cropping period possess favorable environmental condition to grow, and the production cost is comparatively lower and productivity is higher as compared to early and late seasons crop. Farmers are cultivating various hybrid (F1) cultivars to increase the yield and income. Every year, several hybrids are being imported in Nepal and there needs a varietal trial before being recommended at farmer’s field. Thus, this experiment was conducted at horticulture farm of Campus of Live Sciences. Tulsipur, Dang, Nepal for two consecutive years (2021 and 2022 AD) to evaluate the growth and yield attributes of five hybrid cauliflower cultivars. Cultivars viz. Snow Best, Snow Crown, Super White Top, Rami and Damy were treated as treatment and replicated four times in Randomized Complete Block Design. The experiment showed that cultivar Super White Top and Snow Crown had desirable vegetative characteristics, better yield, and higher harvest index as compared to other cultivars. Hence, Super White Top and Snow Crown could be promoted for cultivation in the agro climatic zones related to that of Tulsipur, Dang. Considering the economically important growth and yield attributes Super White Top and Snow Crown were found to be the suitable mid-season hybrid cultivars in Dang condition.

Assessment of land configuration techniques on in-situ soil moisture conservation and productivity of rainfed Bt. Cotton in semi-arid production systems

Rainfed agriculture is proving to be a significant contributor to cotton production. However, recent climate change characterizes a substantial threat to current rainfed agricultural production, and consequently to farmers’ livelihoods in semi-arid regions. Typical features of these areas are erratic rainfall to frequent dry spells that lead to frequent crop failure and lasting poverty. In-situ soil moisture conservation is an important climate resilience agricultural practice to enhance the productivity of crops in these regions including rainfed Bt cotton. It comprises agronomical land configuration techniques with several local modifications. The experiments were conducted in a field at Okkarai village (11o 22’ N latitude and 78o 53’ E longitudes), Thuraiyur Block, Tiruchirapallai District in the Northwestern Agro-climatic Zone of Tamil Nadu. It was undertaken during the Rabi season (North-East monsoon) of 2022 and 2023. The experiments were laid out in randomized block design (RBD) with 7 treatments with three replications. The treatments consist of different land configuration techniques viz., flat-bed, ridges and furrows, broad bed and furrows (BBF), raised bed, tied ridges, tied ridges (alternate rows) and tied broad beds (TBB). An analysis of pooled mean data of two years showed significant differences between the treatments. Among the land configuration techniques tested, tied ridges (alternate rows) registered the maximum soil moisture content during flowering and boll formation (90 DAS), boll development (120 DAS) and boll and fibre maturation (140 DAS) stages, and the increase was 34.4%, 31.8% and 15.74%, respectively over flat-bed method. Likewise, tied ridges (alternate rows) significantly enhanced the cotton growth characters viz., plant height (128.92 cm), leaf area index (4.52), dry matter production (5.19 t/ha), and yield attributes viz., number of squares (44.50/plant), number of bolls (43.73/plant), boll weight (4.76 g) and seed cotton yield (20.86 q/ha) and cost-benefit ratio (3.07). Tied ridges in alternative row served as low-cost micro catchment approach for trapping and holding water and its practice in semi-arid rainfed region has beneficial effects of reducing runoff and soil loss, increasing soil moisture and augment crop yield.

Depth Wise Distribution of Soil Physico-Chemical Properties and Nutrients Across a Toposequence Located at KVK Farm, Sakhigopal, Odisha, India

This study aims to identify soil-related constraints for crop production and provide insights for soil management by analyzing soil profiles across different topographic positions (upland, medium land, and lowland) at KVK farm, Sakhigopal, Puri located in the East and Southeastern Coastal Plain Agro-Climatic Zone of Odisha. The profiles were evaluated for key physico-chemical properties and nutrient contents, revealing significant variations influenced by topography. The results showed that the soil's physical and chemical properties and available nutrient status showed distinct variations among the pedons. Among soil physical properties, the sand percentage, bulk density, and particle density increased with soil depth. Whereas, the clay percentage, total porosity, and water-holding capacity decreased with soil depth. Soil pH ranged from 6.32 to 7.50 and the electrical conductivity was recorded below 1 dSm-1. The organic carbon content ranged from 8.6 to 10.3 g kg-1. In general, soil pH, base saturation, and exchangeable cations increased with soil depth. On the other hand, soil organic carbon content and exchangeable acidity decreased with soil depth. Available nitrogen, phosphorus, potassium, and sulphur contents decreased with soil depth. However, in general, their concentrations increased along the slope (towards low land), which may be attributed to increased levels of organic carbon and clay contents in the lower topographic positions owing to high moisture content and higher cropping intensity. The findings of this study provide valuable insights regarding soil property characterisation across a transect for sustainable land use planning.

Ecology of arbuscular mycorrhizal association in coconut (Cocos nucifera L.) palms: Analysis of factors influencing AMF in fields

This study is the first thorough ecological analysis of arbuscular mycorrhizal fungal (AMF) diversity in randomly selected traditional coconut fields across Kerala, South India. We conducted a critical analysis of AMF diversity, percentage root length colonization (PRLC), and mean spore density (MSD) across 248 sites, taking into account variations in plant, environmental, and soil factors like coconut varieties, palm health conditions, agroclimatic zones, soil types, and seasons in the region. A total of 23 AMF species from seven genera (Acaulospora, Archaeospora, Funneliformis, Glomus, Sclerocystis, Septoglomus, and Scutellospora) were identified, with Acaulospora scrobiculata being the dominant species in all studied fields. A critical analysis of diversity indices, including the Shannon-Weiner Index, Simpson's diversity index, and Gini-Simpson index, concerning variables indicated that soil series influences AMF diversity in specific fields. Correlational and principal component analyses highlighted the interrelationships between specific soil types and quality parameters affecting AMF characteristics, underscoring their crucial role in coconut palm growth. The study also revealed the ecological amplitudes of indigenous AMF species related to specific soil fertility parameters. Overall, this research serves as a model for identifying root- and soil-specific AMF in agricultural fields and provides valuable ecological insights for utilizing indigenous AMF species as ecotechnological tools for sustainable coconut cultivation.

Unraveling the abundance of vip3-type genes in Indian Bacillus thuringiensis across the agroclimatic landscape and impact of amino acid substitutions for safer agriculture

Vegetative insecticidal protein (vip) genes of Bacillus thuringiensis (Bt) are candidates for gene pyramiding in the resistance management of pests. The prevalence of vip genes in Bt isolates is relatively under-explored. Bt isolates recovered from 29 diverse sources in nine agro-climatic zones of India were screened for the presence of vip3-type genes by PCR with 4 sets of oligonucleotide primers. Out of 155 Bt isolates, 70.32 % (109) and 44.52 % (69) isolates were positive for amplification of partial vip3-type genes with primer sets 1 and 4, respectively. The primer set-2 was found to be more efficient for amplifying full-length genes (29.03 % /45 isolates) as compared with primer set-3 (3.23 %/ 5 isolates), also corroborated in the amplification of full-length vip3 genes in ten Bt BGSC strains used as reference. Frequency analysis revealed presence of vip3 genes in Bt isolates across all agro-climatic zones. Thus, Indian Bt isolates from diverse sources have a rich repertoire of vip3-type genes. Our study reports the highest number (45) of full-length vip3-type genes detected in a native Bt isolates collection, demonstrating enrichment of Indian Bt isolates for vip3 genes. Twelve of these genes have been cloned, sequenced, and out of these, six were found to be effective against Helicoverpa armigera in our laboratory previously. Comparison of substitutions in deduced amino acids sequence of these genes and expression of Vip3 proteins in SDS-PAGE analysis of selected native Bt isolates positive for full-length vip3-type genes indicated their biopesticidal potential.

Sustainable agriculture made easy: CETARA-NF's self-certification

Consumers can receive guarantees through the certified evaluation tool of agriculture resources analysis of natural farming (CETARA NF) without having to deal with costly third-party certification's entry obstacles or complex participatory guarantee systems. The purpose of this study is to examine the reasons for farmers' engagement in CETARA-NF as well as their experiences and results. 400 farmers randomly interviewed from 4 agroclimatic zones using the well-structured questionnaire from a 135,000 certified farmers list. Most farmers fall under the Two Star category (61.5 %), followed by One Star (28.5 %) and Three Star (10 %). The findings imply that 61 per cent of farmers are transitioning towards natural farming as these farmers have minimised or eliminated the chemical use in their farming practices. Significant factors of adoption for this certification system were increased marketed quantity, chemical fertiliser cost and no certification cost. Also, market access (Rank 1), no cost of certification (Rank 2) and women friendly (Rank 3) recognized as the major advantages of this certification. CETARA-NF can be an alternative certification solution for smallholders by securing the integration of grassroots agroecological cooperation and customs inside natural farming systems, thereby overcoming certification barriers.

Performance Evaluation of Stress Tolerant Rice Variety Swarna Shreya under Front Line Demonstration in Bolangir District, Odisha

Rice is the major crop of Odisha with a total coverage of 41 lakh ha which is about 65% of the total cultivable area of the state. Area under rice crop in Bolangir district is 218.97 thousand ha. Bolangir District is located under Western Central Table Land Agro climatic Zone characterized by hot and sub humid climate. About 168.91 thousand ha rice is under rainfed condition. Drought is a major abiotic stress that adversely affects the rice growth, mostly in the rainfed ecosystem that ultimately affects the biomass production and yield. Front line demonstrations have been conducted in NICRA adopted village- Odiapali, Block- Bolangir in the Kharif season of the year 2022 and 2023. The percentage increase in yield is 13.63 and 14.61 and net return is Rs 42,200/- and Rs 43,444/- per ha as compared to farmer’s practice variety Swarna’ performance respectively for the year 2022 and 2023.

Genetic Diversity of Promising Spring Wheat Accessions from Russia and Kazakhstan for Rust Resistance.

Spring bread wheat (Triticum aestivum) is a major crop in Russia and in Kazakhstan. The rust pathogens, leaf rust caused by the fungus Puccinia triticina, stem rust incited by P. graminis and yellow rust caused by P. striiformis, are the significant biotic factors affecting wheat production. In this study, 40 new promising spring wheat genotypes from the Kazakhstan-Siberia Network for Spring Wheat Improvement (KASIB) were tested for resistance to leaf, stem and yellow rust at the seedling stage, and for identification of rust resistance genes using molecular markers. In addition, the collection was tested for leaf rust resistance and grain yields in the South Urals agroclimatic zone of Russia in 2023. As a result, 16 accessions with seedling resistance to leaf rust, 21 to stem rust and 4 to yellow rust were identified. Three breeding accessions were resistant to all rust species, and nine to P. triticina and P. graminis. Wheat accessions resistant to leaf rust at the seedling stage were also resistant in the field. Molecular analysis showed the presence of cataloged resistance genes, Lr1, Lr3a, Lr9, Lr10, Lr19, Lr20, Lr24, Lr26, Sr15, Sr24, Sr25, Sr31, Sr38, Yr9 and Yr18; uncatalogued genes Lr6Agi1 and Lr6Agi2 from Thinopyrum intermedium and LrAsp from Aegilops speltoides; and 1AL.1RS translocation. The current analysis showed an increase in leaf and stem rust resistance of new KASIB genotypes and their genetic diversity due to the inclusion of alien genetic material in breeding.

Assessment of meteorological drought impacts on rainfed agriculture using remote sensing-derived biomass productivity.

Assessing drought impacts is necessary for pursuing sustainable development goals relevant to food security and land degradation. Data availability is a major restriction and remote sensing has been promoted for this purpose. Version 3 of WaPOR has been released in 2023, which provides global coverage of remote sensing-derived water productivity indicators and could allow improved analysis of drought impacts, but validation is still needed. This study explores the utility of remote sensing-derived productivity data from WaPOR as a proxy indicator for agricultural drought impacts. The analysis utilized (1) production surveys, (2) meteorological measurements for drought analysis, and (3) remote sensing-derived gross and net biomass water productivities (GBWP & NBWP) and total biomass production (TBP). All layers were analyzed against the Standardized Precipitation and Standardized Precipitation Evapotranspiration Indices (SPI and SPEI) over drought-vulnerable locations in Irbid and Madaba governorates in Jordan. Strong and significant correlations (R2 0.5-0.8, P < 0.05) were obtained between drought intensities and GBWP and NBWP layers, particularly in the May-Sep periods. These correlations were higher than previously tested remotely sensed indicators for agricultural drought impacts. Water productivity and biomass production averages were lower during drier periods and higher during wet periods, but pairwise testing did not reveal significant differences. There is sufficient evidence that WaPOR data demonstrates behavior that reflects agricultural response to drought, and further assessment in other agroclimatic zones is recommended. This could potentially allow for enhanced evaluation of management strategies, decision support, and policy recommendations for drought mitigation.