Impact of Land use Conversion from Paddy Fields to Apple Orchards on Soil Physical Properties in Kashmir, India

There has been considerable increase in establishing the orchards on the elsewhere paddy fields from last few decades and considerable change in the soil properties are obvious to witness with this land use change. In order to ascertain the possible change in soil properties survey was carried out in three apple growing districts Baramulla, Pulwamma and Shopian. Soil samples from three depths (0-30, 30-60, 60-90 cm) were taken from both conventional and paddy converted apple orchards. The soil texture varied from Clay loam to silty clay loam. The mean of bulk density, porosity, aggregate stability, and soil water content in conventional and converted apple orchards was 1.109 Mg m-3 and 1.107 Mg m-3, 49.593 % and 50.860 %, 0.409 mm and 0.280 mm, 14.274% and 13.940 %, respectively. Further, it was observed that bulk density, particle density, and porosity showed no significant difference in conventional and converted apple orchards, whereas, the aggregate stability and soil water content was higher in conventional orchards as compared to converted apple orchards

Soil microbial and enzyme activities in different land use systems of the Northwestern Himalayas

Soil microbial activity (SMA) is vital concerning carbon cycling, and its functioning is recognized as the primary factor in modifying soil carbon storage potential. The composition of the microbial community (MC) is significant in sustaining environmental services because the structure and activity of MC also influence nutrient turnover, distribution, and the breakdown rate of soil organic matter. SMA is an essential predictor of soil quality alterations, and microbiome responsiveness is imperative in addressing the escalating sustainability concerns in the Himalayan ecosystem. This study was conducted to evaluate the response of soil microbial and enzyme activities to land conversions in the Northwestern Himalayas (NWH), India. Soil samples were collected from five land use systems (LUSs), including forest, pasture, apple, saffron, and paddy-oilseed, up to a depth of 90 cm. The results revealed a significant difference (p pasture > apple > saffron > paddy-oilseed at all three depths. Paddy-oilseed soils exhibited up to 35% lower enzyme activities than forest soils, implying that land conversion facilitates the depletion of microbiome diversity from surface soils. Additionally, reductions of 49.80% and 62.91% were observed in enzyme activity and microbial counts, respectively, with soil depth (from 0–30 to 60–90 cm). Moreover, the relationship analysis (principal component analysis and correlation) revealed a high and significant (p = 0.05) association between soil microbial and enzyme activities and physicochemical attributes. These results suggest that land conversions need to be restricted to prevent microbiome depletion, reduce the deterioration of natural resources, and ensure the sustainability of soil health

Comprehensive biochemical approach for understanding the interaction between host “common bean” and pathogen “Colletotrichum lindemuthianum” causing bean anthracnose

Anthracnose (ANT) caused by Colletotrichum lindemuthianum is the most devastating seed-borne fungal disease of common bean. In response to fungal infections, it is hypothesized that pathogen–plant interactions typically cause hypersensitive reactions by producing reactive oxygen species, hydrogen peroxide and lipid peroxidation of cell membranes. Present study was conducted by inoculating susceptible bean genotype “SB174” and resistant bean genotype “E10” with pathogen “C. lindemuthianum”. Defense-related enzymes (ascorbate peroxidase, peroxidase, lipid peroxidase, and catalase) and C-based compounds (total phenols and flavonoids) were studied using the detached bean leaf method. Comparative defense response was studied in different plant tissues (pod, stem, and seed) in susceptible and resistant bean genotypes under uninoculated and pathogen-inoculated conditions

Comparative Analysis of Soil Quality Assessment and Its Perception by Rice Farmers

The present study was conducted in three villages of district Budgam in the union territory of Jammu and Kashmir, to find out how farmers differentiate the quality of soils and to determine the level of concurrence between farmers perception and scientific assessment of soil quality. Five fields in each village were selected and ranked on the basis of soil quality indices computed from the minimum data set of indicators, including plant available nutrients N, P, K, Ca, Mg, S, OC, BD, WHC (water holding capacity), CEC (cation exchange capacity) as well as microbial count. The respondents ranked the same 5 selected fields on the bases of their experience and perceptions of soil quality. The study reveals that 58% of farmers ranked the best soils correctly whereas, the percentage of farmers who ranked 2nd, 3rd, 4th and 5th soils correctly was 40, 30, 40, and 45%, respectively. The study found that a greater number of farmers from the remotest village Dalwash were able to judge the soils properly, thereby indicating more profound knowledge and better cognitive abilities to understand soils in the local context. The results divulged by the current study highlight the remarkable local soil knowledge of the farmers and therefore, linking this knowledge system with scientific concepts would prove valuable for sustained land-use management

Soil Quality Index as Affected by Integrated Nutrient Management in the Himalayan Foothills

Soil quality assessment serves as an index for appraising soil sustainability under varied soil management approaches. Our current investigation was oriented to establish a minimum data set (MDS) of soil quality indicators through the selection of apt scoring functions for each indicator, thus evaluating soil quality in the Himalayan foothills. The experiment was conducted during two consecutive years, viz. 2016 and 2017, and comprised of 13 treatments encompassing different combinations of chemical fertilizers, organic manure, and biofertilizers, viz. (i) the control, (ii) 20 kg P + PSB (Phosphorus solubilizing bacteria), (iii) 20 kg P + PSB + Rhizobium, (iv) 20 kg P + PSB + Rhizobium+ FYM, (v) 20 kg P + 0.5 kg Mo + PSB, (vi) 20 kg P + 0.5 kg Mo + PSB + Rhizobium, (vii) 20 kg P + 0.5 kg Mo + PSB + Rhizobium + FYM, (viii) 40 kg@ P + PSB, (ix) 40 kg P + PSB + Rhizobium, (x) 40 kg P + PSB + Rhizobium+ FYM, (xi) 40 kg P + 0.5 kg Mo + PSB, (xii) 40 kg P + 0.5 kg Mo + PSB + Rhizobium, and (xiii) 40 kg P + 0.5 kg Mo + PSB + Rhizobium + FYM. Evaluating the physical, chemical, and biological indicators, the integrated module of organic and inorganic fertilization reflected a significant improvement in soil characteristics such as the water holding capacity, available nitrogen, phosphorus, potassium, and molybdenum, different carbon fractions and soil biological characteristics encircling microbial biomass carbon (MBC), and total bacterial and fungal count. A principal component analysis (PCA) was executed for the reduction of multidimensional data ensued by scoring through the transformation of selected indicators. The soil quality index (SQI) established for different treatments exhibited a variation of 0.105 to 0.398, while the magnitude of share pertaining to key soil quality indicators for influencing soil quality index encircled the water holding capacity (WHC), the dehydrogenase activity (DHA), the total bacteria count, and the available P. The treatments that received an integrated nutrient package exhibited a higher SQI (T10—0.398; T13—0.372; T7—0.307) in comparison to the control treatment (T1—0.105). An enhanced soil quality index put forth for all organic treatments reflected an edge of any conjunctive package of reduced synthetic fertilizers with prime involvement of organic fertilizers over the sole application of inorganic fertilizers

Estimation of yield, phenology and agro-meteorological indices of Quality Protein Maize (Zea mays L.) under different nutrient omissions in temperate ecology of Kashmir

The major yield governing factors especially under rainfed ecosystem are the agro-meteorological indices. Hence, an experiment was conducted in 2021 kharif season to examine the impact of nutrient omission on phenology, yield and agro-meteorological indices of Quality Protein Maize (QPM) under the North Western Himalayas of India at the Agronomy farm of FoA (Faculty of Agriculture), Wadoora, Sopore, SKUAST-Kashmir. Eight treatments were used in the experiment viz. (T1-Absolute control, T2-N120P75K40, T3-N120P75K40Zn5S10, T4-P75K40Zn5S10 (-N), T5-N120K40Zn5S10 (-P), T6-N120P75Zn5S10 (-K), T7-N120P75K40S10 (-Zn) and T8-N120P75K40Zn5 (-S)), using a randomized complete block design with three replications. Results demonstrated that recommended dose of fertilizer plus zinc and sulphur (T3-N120P75K40Zn5S10) noted higher grain (9.78 t ha−1) and biological (22.05 t ha−1) yield, a longer period of time to reach various phonological stages thereby achieved maximum heat units or growing degree days (GDD), heliothermal units (HTU), photo-thermal units (PTU), pheno-thermal index (PTI) and heat use efficiency (HUE). Nitrogen was the most limiting nutrient thereby accumulating least heat units and HUE. The agrometeorological indices could be therefore helpful in predicting the phenology and maize yield. The outcomes of the experiment showed that using the recommended fertilizer dosage plus zinc and sulphur in QPM should be adopted to attain higher yield under the North Western Himalayas of India, However, additional agro-ecological study is required to further validate the findings

Delineating Marker-trait Associations for Fusarium Wilt in Chickpea using Axiom® Cicer SNP Array

Fusarium wilt (FW) caused by the Fusarium oxysporum f. sp. ciceri is a devastating disease of chickpea (Cicer arietinum L.). To identify promising resistant genotypes and genomic loci for FW resistance, a core set of 179 genotypes of chickpea was tested for FW reactions at seedling and reproductive stages under field as well as controlled conditions in the greenhouse. Our results revealed that at seedling stage, most of the genotypes were found resistant whereas, at the reproductive stage majority of the genotypes were found susceptible. Genotyping using a 50K Axiom®Cicer SNP Array and trait data of FW together led to the identification of 26 significant (p≤E-05) marker-trait associations (MTAs) for FW resistance. Among 26 MTAs, 12 were identified using trait data recorded in the field (3 at seedling and 9 at reproductive stage) and 14 MTAs were identified using trait data recorded under controlled conditions in the greenhouse (6 at seedling and 8 at reproductive stage). The phenotypic variation explained by these MTAs varied from 11.75 to 15.86% with an average of 13.77%. Five MTAs were classified as major, explaining more than 15% phenotypic variation for FW and two MTAs were declared stable, being identified in either two environments or at two growth stages. One of the promising stable and major MTAs (Affx_123280060) detected in field conditions at reproductive stage was also detected in greenhouse conditions at seedling and reproductive stages. The stable and major (>15% PVE) MTAs can be used in chickpea breeding programmes