Acharya N. G. Ranga Agricultural University

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Acharya N. G. Ranga Agricultural University
Short name
ANGRAU
Country, city
India, Guntur
Publications
497
Citations
9 582
h-index
47
Top-3 journals
Sugar Tech
Sugar Tech (16 publications)
Plant Disease
Plant Disease (12 publications)
Top-3 foreign organizations

Most cited in 5 years

Mahanti N.K., Pandiselvam R., Kothakota A., Ishwarya S. P., Chakraborty S.K., Kumar M., Cozzolino D.
2022-02-01 citations by CoLab: 116 Abstract  
Fruits are vulnerable to mechanical damages and physiological disorders caused by the static and dynamic forces acting on them during transportation and abiotic stresses throughout their growth and development, respectively. Identifying these defects is central to quality monitoring in the fruit processing industry. Conventionally, industries employ manual separation to segregate damaged fruits in the processing line. However, manual sorting is laborious, time-consuming, skilled labor-intensive, and destructive. Besides, it is incapable of inspecting every fruit on a fast-moving conveyor belt. Therefore, industries are looking for rapid, non-destructive, and precise technologies for the online inspection of every fruit in the process line. Non-destructive techniques (NDTs) such as biospeckle, X-ray imaging, hyperspectral imaging (HSI), and thermal imaging (TI) involve noninvasive testing of sample surfaces. Earlier review articles have emphasized the applications of various NDTs in determining fruit quality and safety, but with limited focus on image processing and analysis. Therefore, this review focuses on the working principle of these NDTs in detecting fruit damages, their instrumentation, and the steps involved in image processing and analysis. The final sections highlight the limitations and future prospects pertaining to each technique. Biospeckle, HSI, and TI techniques can detect surface damages due to their limited light penetration depth. The HSI spectrum is useful in detecting the defects and fruit quality parameters. Active TI can detect even minor damages in the fruit, but it is not appropriate for industrial production lines. Conversely, X-ray imaging can detect fruit internal damages. The synergistic applications of these NDTs along with appropriate chemometric procedures are useful in identifying damaged fruits without human interference and evade their entry into the processing line. • Advanced non-destructive techniques (NDTs) for fruit damage detection are reviewed. • Principle of image acquisition, processing, and analysis are elaborated. • Case-studies are presented on fruit damage detection by non-destructive techniques. • Limitations and future scope of NDTs forfruit damage detection are discussed.
Mallareddy M., Thirumalaikumar R., Balasubramanian P., Naseeruddin R., Nithya N., Mariadoss A., Eazhilkrishna N., Choudhary A.K., Deiveegan M., Subramanian E., Padmaja B., Vijayakumar S.
Water (Switzerland) scimago Q1 wos Q2 Open Access
2023-05-09 citations by CoLab: 84 PDF Abstract  
Rice is a water-guzzling crop cultivated mostly through inefficient irrigation methods which leads to low water use efficiency and many environmental problems. Additionally, the export of virtual water through rice trading and the looming water crisis poses significant threats to the sustainability of rice production and food security. There are several alternative rice production methods to improve water use efficiency. These include aerobic rice, direct-seeded rice (DSR), alternate wetting and drying (AWD), saturated soil culture (SSC), drip-irrigated rice, a system of rice intensification (SRI), and smart irrigation with sensors and the Internet of Things (IoT). However, each method has its own advantages and disadvantages. For example, drip-irrigated rice and IoT-based automated irrigation are not feasible for poor farmers due to the high production costs associated with specialized machinery and tools. Similarly, aerobic rice, drip-irrigated rice, and the SRI are labor-intensive, making them unsuitable for areas with a shortage of labor. On the other hand, DSR is suitable for labor-scarce areas, provided herbicides are used to control weeds. In this article, the suitability of different water-saving rice production methods is reviewed based on factors such as climate, soil type, labor, energy, and greenhouse gas emissions, and their prospects and challenges are evaluated. Additionally, the article examines how cultural practices, such as seed treatment, weed control, and nutrition management, contribute to enhancing water use efficiency in rice production.
Roychowdhury R., Das S.P., Gupta A., Parihar P., Chandrasekhar K., Sarker U., Kumar A., Ramrao D.P., Sudhakar C.
Genes scimago Q2 wos Q2 Open Access
2023-06-16 citations by CoLab: 75 PDF Abstract  
The present day’s ongoing global warming and climate change adversely affect plants through imposing environmental (abiotic) stresses and disease pressure. The major abiotic factors such as drought, heat, cold, salinity, etc., hamper a plant’s innate growth and development, resulting in reduced yield and quality, with the possibility of undesired traits. In the 21st century, the advent of high-throughput sequencing tools, state-of-the-art biotechnological techniques and bioinformatic analyzing pipelines led to the easy characterization of plant traits for abiotic stress response and tolerance mechanisms by applying the ‘omics’ toolbox. Panomics pipeline including genomics, transcriptomics, proteomics, metabolomics, epigenomics, proteogenomics, interactomics, ionomics, phenomics, etc., have become very handy nowadays. This is important to produce climate-smart future crops with a proper understanding of the molecular mechanisms of abiotic stress responses by the plant’s genes, transcripts, proteins, epigenome, cellular metabolic circuits and resultant phenotype. Instead of mono-omics, two or more (hence ‘multi-omics’) integrated-omics approaches can decipher the plant’s abiotic stress tolerance response very well. Multi-omics-characterized plants can be used as potent genetic resources to incorporate into the future breeding program. For the practical utility of crop improvement, multi-omics approaches for particular abiotic stress tolerance can be combined with genome-assisted breeding (GAB) by being pyramided with improved crop yield, food quality and associated agronomic traits and can open a new era of omics-assisted breeding. Thus, multi-omics pipelines together are able to decipher molecular processes, biomarkers, targets for genetic engineering, regulatory networks and precision agriculture solutions for a crop’s variable abiotic stress tolerance to ensure food security under changing environmental circumstances.
Alam M., Alam S., Shamsi A., Adnan M., Elasbali A.M., Al-Soud W.A., Alreshidi M., Hawsawi Y.M., Tippana A., Pasupuleti V.R., Hassan M.I.
Frontiers in Oncology scimago Q2 wos Q2 Open Access
2022-03-25 citations by CoLab: 62 PDF Abstract  
Non-small cell lung carcinoma (NSCLC) comprises 80%–85% of lung cancer cases. EGFR is involved in several cancer developments, including NSCLC. The EGFR pathway regulates the Bax/Bcl-2 cascade in NSCLC. Increasing understanding of the molecular mechanisms of fundamental tumor progression has guided the development of numerous antitumor drugs. The development and improvement of rationally planned inhibitors and agents targeting particular cellular and biological pathways in cancer have been signified as a most important paradigm shift in the strategy to treat and manage lung cancer. Newer approaches and novel chemotherapeutic agents are required to accompany present cancer therapies for improving efficiency. Using natural products as a drug with an effective delivery system may benefit therapeutics. Naturally originated compounds such as phytochemicals provide crucial sources for novel agents/drugs and resources for tumor therapy. Applying the small-molecule inhibitors (SMIs)/phytochemicals has led to potent preclinical discoveries in various human tumor preclinical models, including lung cancer. In this review, we summarize recent information on the molecular mechanisms of the Bax/Bcl-2 cascade and EGFR pathway in NSCLC and target them for therapeutic implications. We further described the therapeutic potential of Bax/Bcl-2/EGFR SMIs, mainly those with more potent and selectivity, including gefitinib, EGCG, ABT-737, thymoquinone, quercetin, and venetoclax. In addition, we explained the targeting EGFR pathway and ongoing in vitro and in vivo and clinical investigations in NSCLC. Exploration of such inhibitors facilitates the future treatment and management of NSCLC.
Jamaloddin M., Durga Rani C.V., Swathi G., Anuradha C., Vanisri S., Rajan C.P., Krishnam Raju S., Bhuvaneshwari V., Jagadeeswar R., Laha G.S., Prasad M.S., Satyanarayana P.V., Cheralu C., Rajani G., Ramprasad E., et. al.
PLoS ONE scimago Q1 wos Q1 Open Access
2020-06-19 citations by CoLab: 53 PDF Abstract  
Bacterial blight (BB) and fungal blast diseases are the major biotic constraints that limit rice productivity. To sustain yield improvement in rice, it is necessary to developed yield potential of the rice varieties by incorporation of biotic stress resistance genes. Tellahamsa is a well-adapted popular high yielding rice variety in Telangana state, India. However, the variety is highly susceptible to BB and blast. In this study, simultaneous stepwise transfer of genes through marker-assisted backcross breeding (MABB) strategy was used to introgress two major BB (Xa21 and xa13) and two major blast resistance genes (Pi54 and Pi1) into Tellahamsa. In each generation (from F1 to ICF3) foreground selection was done using gene-specific markers viz., pTA248 (Xa21), xa13prom (xa13), Pi54MAS (Pi54) and RM224 (Pi1). Two independent BC2F1 lines of Tellahamsa/ISM (Cross-I) and Tellahamsa/NLR145 (Cross-II) possessing 92% and 94% recurrent parent genome (RPG) respectively were intercrossed to develop ICF1—ICF3 generations. These gene pyramided lines were evaluated for key agro-morphological traits, quality, and resistance against blast at three different hotspot locations as well as BB at two locations. Two ICF3 gene pyramided lines viz., TH-625-159 and TH-625-491 possessing four genes exhibited a high level of resistance to BB and blast. In the future, these improved Tellahamsa lines could be developed as mega varieties for different agro-climatic zones and also as potential donors for different pre-breeding rice research.
Kolahalam L.A., Prasad K.R., Murali Krishna P., Supraja N.
Heliyon scimago Q1 wos Q1 Open Access
2021-06-10 citations by CoLab: 46 Abstract  
Abstract The plant extracts are known for their anti-inflammatory, antifungal, antiviral and antibacterial properties. The use of plant extracts in the preparation of bio-materials increases their biological application. In this concern, herein reporting an eco-friendly procedure which is also a simple and cost effective, for the synthesis of Zinc Oxide nanoparticles (ZnONPs) using Saussurea lappa plant root (rhizome) extract as a fuel. The prepared nanoparticles were confirmed using various characterization techniques. The Dynamic light scattering data showed 123.5 nm particle size with -99.9 mv zeta potential which indicates excellent stability of the particles. The peak at 541 cm−1 in the IR spectrum is assigned to the stretching frequency of the zinc-binding to oxygen. The X-ray diffraction peaks confirm the close association with JCPDS Data Card No: 36-1451. The FESEM data revealed a hexagonal wurtzite structure with a hexagonal shape of synthesized ZnO nanoparticles. The antibacterial studies indicate the gram-negative strains showed better inhibition activity than gram-positive strains. Among Fungal strains, Aspergillus niger and flavus, Fusarium oxysporum, and Rhizopus oryzae showed good inhibition activity at higher concentrations. The cytotoxic data indicates the 5 μg/mL of the ZnO particles showed cytotoxicity on the CHO cell line and with IC50 value 3.164 ± 0.8956 μg/mL.
Najeeb S., Ali J., Mahender A., Pang Y.L., Zilhas J., Murugaiyan V., Vemireddy L.R., Li Z.
Molecular Breeding scimago Q1 wos Q2
2020-01-04 citations by CoLab: 45 Abstract  
An attempt was made in the current study to identify the main-effect and co-localized quantitative trait loci (QTLs) for germination and early seedling growth traits under low-temperature stress (LTS) conditions in rice. The plant material used in this study was an early backcross population of 230 introgression lines (ILs) in BCIF7 generation derived from the Weed Tolerant Rice-1 (WTR-1) (as the recipient) and Haoannong (HNG) (as the donor). Genetic analyses of LTS tolerance revealed a total of 27 main-effect quantitative trait loci (M-QTLs) mapped on 12 chromosomes. These QTLs explained more than 10% of phenotypic variance (PV), and average PV of 12.71% while employing 704 high-quality SNP markers. Of these 27 QTLs distributed on 12 chromosomes, 11 were associated with low-temperature germination (LTG), nine with low-temperature germination stress index (LTGS), five with root length stress index (RLSI), and two with biomass stress index (BMSI) QTLs, shoot length stress index (SLSI) and root length stress index (RLSI), seven with seed vigor index (SVI), and single QTL with root length (RL). Among them, five significant major QTLs (qLTG(I)1, qLTGS(I)1–2, qLTG(I)5, qLTGS(I)5, and qLTG(I)7) mapped on chromosomes 1, 5, and 7 were associated with LTG and LTGS traits and the PV explained ranged from 16 to 23.3%. The genomic regions of these QTLs were co-localized with two to six QTLs. Most of the QTLs were growth stage-specific and found to harbor QTLs governing multiple traits. Eight chromosomes had more than four QTLs and were clustered together and designated as promising LTS tolerance QTLs (qLTTs), as qLTT1, qLTT2, qLTT3, qLTT5, qLTT6, qLTT8, qLTT9, and qLTT11. A total of 16 putative candidate genes were identified in the major M-QTLs and co-localized QTL regions distributed on different chromosomes. Overall, these significant genomic regions of M-QTLs are responsible for multiple traits and this suggested that these could serve as the best predictors of LTS tolerance at germination and early seedling growth stages. Furthermore, it is necessary to fine-map these regions and to find functional markers for marker-assisted selection in rice breeding programs for cold tolerance.
Ojiewo C.O., Janila P., Bhatnagar-Mathur P., Pandey M.K., Desmae H., Okori P., Mwololo J., Ajeigbe H., Njuguna-Mungai E., Muricho G., Akpo E., Gichohi-Wainaina W.N., Variath M.T., Radhakrishnan T., Dobariya K.L., et. al.
Frontiers in Plant Science scimago Q1 wos Q1 Open Access
2020-02-21 citations by CoLab: 44 PDF Abstract  
Groundnut is an important global food and oil crop, contributing to household food, nutrition and income security. Its consumption, processing and international trade is however, constrained by a number of genetic and biotic factors related to the grain nutrient profile. These include Aflatoxin, which is a prominent food safety challenge, allergens and oil profile, especially oleic/linoleic acid balance. This review paper highlights technological advances in crop improvement research to improve groundnut nutrient profile for better food, nutrition, health, and economic outcomes. Significant advances have been made in setting stage for marker-assisted allele pyramiding for different aflatoxin resistance mechanisms - in vitro seed colonization, pre-harvest aflatoxin contamination and aflatoxin production - which, together with pre- and post-harvest management practices, will go a long way in mitigating the Aflatoxin menace. A breakthrough in aflatoxin control is in sight with overexpression of antifungal plant defensins, and through host-induced gene silencing in the aflatoxin biosynthetic pathway. Similarly, genomic and biochemical approaches to allergen control are in good progress, with the identification of homologs of the allergen encoding genes and development of monoclonal antibody based ELISA protocol to screen for and quantify major allergens. Double mutation of the allotetraploid homeologous genes, FAD2A and FAD2B, has shown potential for achieving >75% oleic acid as demonstrated among introgression lines. Significant advances have been made in seed systems research to bridge the gap between trait discovery, deployment and delivery through innovative partnerships and action learning.
Kumar A., Raman A., Yadav S., Verulkar S.B., Mandal N.P., Singh O.N., Swain P., Ram T., Badri J., Dwivedi J.L., Das S.P., Singh S.K., Singh S.P., Kumar S., Jain A., et. al.
Field Crops Research scimago Q1 wos Q1
2021-01-01 citations by CoLab: 43 Abstract  
• Genetic gain for rice grain yield for International Rice Research Institute drought breeding program was estimated. • Positive trend of 0.68 %, 0.87 %, 1.9 % under irrigated control, moderate and severe drought achieved. • Superiority of new rice varieties over currently grown demonstrated on farmers’ fields. • International Rice Research Institute developed rice varieties can protect farmers from crop losses under drought conditions. The complexity of genotype × environment interactions under drought reduces heritability, which determines the effectiveness of selection for drought tolerance and development of drought tolerant varieties. Genetic progress measured through changes in yield performance over time is important in determining the efficiency of breeding programmes in which test cultivars are replaced each year on the assumption that the new cultivars will surpass the older cultivars. The goal of our study was to determine the annual rate of genetic gain for rice grain yield in a drought-prone rainfed system in a series of multi-environment trials conducted from 2005 to 2014 under the Drought Breeding Network of Indian sites in collaboration with the International Rice Research Institute (IRRI). Our results show a positive trend in grain yield with an annual genetic yield increase of about 0.68 % under irrigated control, 0.87 % under moderate reproductive stage drought stress and 1.9 % under severe reproductive stage drought stress due to breeding efforts. The study also demonstrates the effectiveness of direct selection for grain yield under both irrigated control as well as managed drought stress screening to improve yield in typical rainfed systems. IRRI's drought breeding programme has exhibited a significant positive trend in genetic gain for grain yield over the years under both drought stress as well as favorable irrigated control conditions. Several drought tolerant varieties released from the programme have outperformed the currently grown varieties under varied conditions in the rainfed environments on farmers’ fields.
Bera S.K., Kamdar J.H., Kasundra S.V., Patel S.V., Jasani M.D., Maurya A.K., Dash P., Chandrashekar A.B., Rani K., Manivannan N., Janila P., Pandey M.K., Vasanthi R.P., Dobariya K.L., Radhakrishnan T., et. al.
PLoS ONE scimago Q1 wos Q1 Open Access
2019-12-12 citations by CoLab: 41 PDF Abstract  
Peanut (Arachis hypogaea L.) is an important nutrient-rich food legume and valued for its good quality cooking oil. The fatty acid content is the major determinant of the quality of the edible oil. The oils containing higher monounsaturated fatty acid are preferred for improved shelf life and potential health benefits. Therefore, a high oleic/linoleic fatty acid ratio is the target trait in an advanced breeding program. The two mutant alleles, ahFAD2A (on linkage group a09) and ahFAD2B (on linkage group b09) control fatty acid composition for higher oleic/linoleic ratio in peanut. In the present study, marker-assisted backcrossing was employed for the introgression of two FAD2 mutant alleles from SunOleic95R into the chromosome of ICGV06100, a high oil content peanut breeding line. In the marker-assisted backcrossing-introgression lines, a 97% increase in oleic acid, and a 92% reduction in linoleic acid content was observed in comparison to the recurrent parent. Besides, the oleic/linoleic ratio was increased to 25 with respect to the recurrent parent, which was only 1.2. The most significant outcome was the stable expression of oil-content, oleic acid, linoleic acid, and palmitic acid in the marker-assisted backcrossing-introgression lines over the locations. No significant difference was observed between high oleic and normal oleic in peanuts for seedling traits except germination percentage. In addition, marker-assisted backcrossing-introgression lines exhibited higher yield and resistance to foliar fungal diseases, i.e., late leaf spot and rust.
Gangireddy A.K., Sreevalli M.D., Chintala S., Puchakayala M., Padherla L.K., Killada G.K., Vulusala B.P., Bommisetty R., Kotte B., Vemireddy L.R.
Molecular Biology Reports scimago Q2 wos Q3
2025-02-01 citations by CoLab: 0 Abstract  
Rice is susceptible to several major and minor diseases, with blast disease caused by Magnaporthe oryzae being a significant constraint, leading to substantial economic losses worldwide. Exploiting genetic resistance in cultivars is a preferred strategy for managing this disease, offering an alternative to chemical control. The objective of this study was to identify advanced breeding lines (ABLs) with blast resistance, superior yield, and good grain quality using Marker-Assisted Selection (MAS). Leaf blast resistance screening revealed that 25 ABLs exhibited moderate resistance. Molecular analysis with 10 polymorphic markers linked to blast resistance genes (Pi1, Pi2, Pi9, Pi37, Pi38, Pi39, Pi54, Pita, Pitp, and Piz5) identified the highest number of positive alleles (8) in MTU1061, IR36, and SVGP-26. Additionally, seven ABLs (SVGP-1, SVGP-14, SVGP-23, SVGP-37, SVGP-38, SVGP-39, and SVGP-48) showed co-segregation of markers with blast resistance. Genetic diversity analysis revealed significant variability among the genotypes, indicating diverse genetic backgrounds. Based on their yield performance, quality traits, and resistance to blast, five parents (NLR 34449, NLR 40024, MTU 1061, MTU 3626, and IR 36) and five ABLs (SVGP-13, SVGP-16, SVGP-40, SVGP-47, and SVGP-32) were selected for further yield trials. The study identified high-yielding, blast-resistant lines with good grain quality and diverse genetic backgrounds as promising donor sources for improving blast resistance in rice breeding programs. These findings enhance the genetic base for developing resistant rice cultivars with improved agronomic traits.
Bal S.K., Kumar K.A., Sudheer K.V., Subba Rao A.V., Pavani K., Reddy C.V., Reddy B.S., Chandran M.A., Manikandan N., Singh V.K.
2024-11-20 citations by CoLab: 0 Abstract  
ABSTRACTThe crop productivity in rainfed regions is driven by the quantum and distribution of rainfall during the crop growth period. The dry spell index (DSI) was used in the present investigation to quantify the cumulative impact of dry spells on major rainfed crops of the kharif season (June–September) in India's semi‐arid regions of Andhra Pradesh. The effect of DSI on the yield of major rainfed crops, i.e., groundnut, pigeon pea, cotton, maize and pearl millet was estimated and compared with the widely used standard precipitation index (SPI). Our results revealed that among the various districts, a higher DSI (> 16.1) was noticed in Anantapur that experienced a DSI of 8.1–16.0 in 77% of the years during the study period (1998–2019), which indicated that the crop suffered stress conditions during the season affecting the crop yields. Moreover, a significant negative correlation was observed between the yields of various crops (groundnut, pigeon pea, maize and pearl millet) and DSI. On the other hand, SPI analysis showed that 74%–83% of the years experienced normal (−0.99 to 0.99) to moderately dry (−1.00 to −1.49) conditions, indicating normal rainfall status during the season. At the same time, no significant correlation was found between the SPI and crop yields. Therefore, the present study revealed that the DSI performed better in quantifying the dry spells and their impact on crop yields, especially under rainfed conditions in the semi‐arid regions of south‐east India.
Veerendrakumar H.V., Kiranmayee B., Vasanthi R.P., Kumar A.R., Pandey M.K., Sudini H.K.
BMC Plant Biology scimago Q1 wos Q1 Open Access
2024-11-05 citations by CoLab: 0 PDF Abstract  
Stem rot, caused by the soil-borne pathogen Sclerotium rolfsii, pose a serious challenge in the groundnut (Arachis hypogaea L) cultivation. Although this disease is widespread globally but had most adverse impact in groundnut growing regions of United States, India, and Australia. The pathogen primarily targets the crown region of the plant, resulting in systemic collapse and potentially leading to yield losses up to 80%. Effective genetic control measures are essential to mitigate the impact of this disease on groundnut production. Realizing the time and resource-consuming complex field-based phenotyping, the availability of easy and repeatable phenotyping methods may fasten the process of donor and gene discovery efforts. Multi-season phenotyping was performed for stem rot on 184 minicore germplasm accessions, including checks, under two conditions: sick field screening and response to oxalic acid assay. This study demonstrated medium to high heritability (52–63% broad-sense heritability) and significant environmental influence (36%). The response to the oxalic acid assay showed a high proportion of similarity (approximately 80%) with the percent mortality observed in the sick field indicating an easy way of performing precise phenotyping. Notably, seven genotypes—ICG163, ICG721, ICG10479, ICG875, ICG11457, ICG111, and ICG2857—exhibited stable resistance, with less than 30% mortality against stem rot disease. Among these, ICG163, ICG875, and ICG111 displayed low mortality and consistent stability across multiple seasons in both the sick field and controlled conditions of the oxalic acid assay. The oxalic acid assay developed in this study effectively complements field phenotyping, as a reliable method for assessing stem rot resistance. Seven resistant genotypes identified through this assay can be utilized for the introgression of stem rot resistance into elite genotypes. Given the significant influence of the environment on stem rot resistance, it is essential to implement multi-season phenotyping to obtain precise results. Furthermore, the response to oxalic acid serves as a valuable supplement to traditional field phenotyping, since maintaining uniform disease pressure during field screenings is often challenging.
Das I.K., Palanna K.B., Patro T.S., Saralamma S., Salam S.A., Raveendra H.R., Hariprasanna K., Kannababu N., Satyavathi C.T.
2024-10-30 citations by CoLab: 0 Abstract  
Rust caused by Uromyces setariae-italicae, is an economically important disease of foxtail millet. Identification of resistance sources is important to develop rust resistant varieties. A total of 181 foxtail millet genotypes were evaluated in replicated field trials for leaf rust resistance across six environments (E) representing major foxtail millet areas in India during rainy season of 2021 and 2022. Eighteen genotypes exhibited rust resistance better or equal to the resistant check and these genotypes were termed as superior rust resistant genotypes. The superior genotypes were further analyzed for stability of resistance using the AMMI analysis. Suitable environment for screening for rust resistance was identified using GGE biplots. Highly significant (��< 0.001) effects of genotype, environment, and genotype × environment interactions was observed for rust resistance. Based on selection index and AMMI 1 biplot analysis five genotypes were selected as top performers on resistance and stability and were better than the presently used national check ISe1177. Results revealed that the most suitable environment for screening for rust resistance in foxtail millet in India was Bengaluru. This was the first study, in which large number of genotypes of foxtail millet was tested for rust resistance over multiple locations in India. This paper reports stable sources of rust resistance in foxtail millet, which will provide important donor in breeding program. A set 181 genotypes of foxtail millets were evaluated for leaf rust resistance in six environments and analysed using AMMI and GGE methods. A subset of 18 genotypes was resistant across environments. AMMI analysis identified five genotypes with high and stable rust resistant across the environments. GGE analysis delineated Bengaluru in Karnataka as the most suitable location for leaf rust screening in foxtail millet.
Rao M.C., Rahul V.D., Uppar P., Madhuri M.L., Tripathy B., Vyas R.D., Swami D.V., Raju S.S.
Journal of Basic Microbiology scimago Q2 wos Q2
2024-10-27 citations by CoLab: 0 Abstract  
ABSTRACTHeavy metal pollution has become a significant concern as the world continues to industrialize, urbanize, and modernize. Heavy metal pollutants impede the growth and metabolism of plants. The bioaccumulation of heavy metals in plants may create chlorophyll antagonism, oxidative stress, underdeveloped plant growth, and reduced photosynthetic system. Finding practical solutions to protect the environment and plants from the toxic effects of heavy metals is essential for long‐term sustainable development. The direct use of suitable living plants for eliminating and degrading metal pollutants from ecosystems is known as phytoremediation. Phytoremediation is a novel and promising way to remove toxic heavy metals. Plant growth‐promoting rhizobacteria (PGPR) can colonize plant roots and help promote their growth. Numerous variables, such as plant biomass yield, resistance to metal toxicity, and heavy metal solubility in the soil, affect the rate of phytoremediation. Phytoremediation using the PGPR consortium can speed up the process and increase the rate of heavy metal detoxification. The PGPR consortium has significantly increased the biological accumulation of various nutrients and heavy metals. This review sheds light on the mechanisms that allow plants to uptake and sequester toxic heavy metals to improve soil detoxification. The present review aids the understanding of eco‐physiological mechanisms that drive plant–microbe interactions in the heavy metal‐stressed environment.
Jayasree B., Naidu M.V., Bhaskar B.P., Madhuri K.V., Sagar G.K., Kumari P.L.
2024-10-10 citations by CoLab: 1 Abstract  
Three soil transects located in the granitic regions of Palamaner mandal, Andhra Pradesh, India, were examined to assess the pollution levels of both primary and secondary metals (Si, Al, Fe, Ca, Mg, Na, K, Cu, Mn, P, and Zn) and to ascertain the degree of soil pollution in agricultural areas. The soils along these transects are slightly acid to neutral, with dark brown to red rubified argillic clay-rich B horizons alongside a moderate cation exchange capacity. The A horizon soils display low organic carbon levels with a moderate variability and contain over 70% SiO2, exhibiting low variability due to limited leaching in a semiarid climate. The findings suggest that iron (Fe) and manganese (Mn) oxides play a role in reducing contamination levels through oxidation and precipitation processes. Furthermore, the soils show low to moderate cation exchange capacity, which restricts the retention of absorbed heavy metals, thus lessening their negative impacts. A two-way ANOVA revealed significant differences in CEC, organic carbon, and total zinc content across different horizons and landscape positions. Si, Al, and Cu had small increases and negative geoaccumulation indices in all soil profiles, suggesting no pollution. However, the Nemerow and mean contamination degree over 6 point to slight to moderate pollution. The analysis identified three distinct clusters with significant variations in contamination factors for SiO2 and Cu. Five principal components were determined, explaining 76% of the total variance, primarily derived from geogenic sources and remaining within acceptable limits. This research on soil transects in granitic regions contributes to a better understanding of the distribution, movement, and concentration of elemental oxides based on slope position, which is essential for pollution assessment and soil quality enhancement.
Prakash Reddy B.V., Vishnuvardhan K.M., Amarnath K., Sagar U.N., Kalyani D.L., Ramakrishna M.S., Reddy Y.R., Venkateswarulu N.C.
2024-10-09 citations by CoLab: 0 Abstract  
Abstract Asiatic cotton (Gossypium arboreum L.) has evolved in the Indian subcontinent and is known for its adaptability to low-input management conditions. In the present study, 300 diverse G. arboreum lines, including 100 Nandyal arboreum breeding lines (NAB), 132 Arboreum germplasm collections (AGC) and 68 long-linted arboreum genotypes (LLA), were evaluated for fibre quality to assess the diversity among them and to identify promising genotypes with desirable fibre traits. Significant variations were observed among the genotypes for the studied fibre-quality traits. Principal component analysis showed that the traits micronaire (Mic) and elongation percentage (E%) followed by upper half mean length (UHML) and bundle tenacity (tenacity) were the most significant contributors to variation. Cluster analysis based on the Euclidian distance method showed 16 clusters among 300 G. arboreum genotypes. The genotypes in cluster 4 have desirable UHML, tenacity and UI (uniformity index) traits, and cluster 12 has Mic and E% traits. Furthermore, the number of genotypes with desirable fibre-quality traits was found to be higher in the AGC group than in the LLA and NAB groups. The trait tenacity followed by the UHML showed relatively higher Shannon–Weiner diversity index values across different genotypic groups. Based on the superior performance, the genotypes PA 847, PA 809, PA 837, PA 863, NDLA 3147-2, NDLA 2974 and NDLA 3081 were found to be having desirable fibre traits. The identified promising genotypes are valuable genetic resources for improving fibre quality in G. arboreum cotton.
Jose J., Amiben L., Girish B.P., Sen K., Prasad T.N., Roy S., Roy Choudhury S.
Plant, Cell and Environment scimago Q1 wos Q1
2024-10-01 citations by CoLab: 1 Abstract  
ABSTRACTDesiccation tolerance is a complex biological phenomenon that allows certain plants to survive extreme dehydration and revive upon rehydration. Although significant progress has been made in understanding the physiological and molecular mechanisms involved in desiccation tolerance, recovery mechanisms after prolonged desiccation periods are enigmatic. Combining physiological, biochemical, transcriptomic and metabolomic approaches, we investigated the role of prolonged desiccation on recovery of Selaginella bryopteris. Prolonged desiccation causes a decline in the antioxidant system, leading to accumulation of ROS that hinder recovery by inducing cellular damage. Transcriptome and WGCNA analysis revealed the significance of protective proteins, alternative respiration and protein homeostasis in cellular protection and recovery after short and long‐term desiccation. Metabolomic analysis exhibited an increased accumulation of antioxidant compounds, which can be substituted for antioxidant enzymes to maintain cellular protection during prolonged desiccation. The significant role of autophagy and autophagic components was evaluated by H2O2 treatment and phylogenetic analysis of ATG4 and ATG8, which unveiled their substantial role in desiccation tolerance and remarkable conservation of the autophagy‐related genes across plant species. Our data demonstrated that prolonged desiccation leads to ROS‐induced cell death by extensive autophagy due to enormous loss of protective proteins, antioxidant enzymes and energy resources during desiccation.
Gopal D., Prasad T.N., Pradeep T., Bhargava Rami Reddy C., Nirmal Kumar A.R., Naseeruddin R., Girish B.P.
Journal of Plant Nutrition scimago Q2 wos Q3
2024-09-06 citations by CoLab: 0
Keerthi I., Shukla V., Kalluru S., Mohammad L.A., Kumari P.L., Ramireddy E., Vemireddy L.R.
2024-09-03 citations by CoLab: 0 Abstract  
Abstract Rapidly identifying candidate genes underlying major QTLs is crucial for improving rice (Oryza sativa L.). In this study, we developed a workflow to rapidly prioritize candidate genes underpinning 99 major QTLs governing yield component traits. This workflow integrates multiomics databases, including sequence variation, gene expression, gene ontology, co-expression analysis, and protein–protein interaction. We predicted 206 candidate genes for 99 reported QTLs governing ten economically important yield-contributing traits using this approach. Among these, transcription factors belonging to families of MADS-box, WRKY, helix–loop–helix, TCP, MYB, GRAS, auxin response factor, and nuclear transcription factor Y subunit were promising. Validation of key prioritized candidate genes in contrasting rice genotypes for sequence variation and differential expression identified Leucine-Rich Repeat family protein (LOC_Os03g28270) and cytochrome P450 (LOC_Os02g57290) as candidate genes for the major QTLs GL1 and pl2.1, which govern grain length and panicle length, respectively. In conclusion, this study demonstrates that our workflow can significantly narrow down a large number of annotated genes in a QTL to a very small number of the most probable candidates, achieving approximately a 21-fold reduction. These candidate genes have potential implications for enhancing rice yield.
Varma P., Chandrasekhar V., Supriya P., Vamsi Krishna G., Vasanthi V., Janaki Prasad A., Bavana Keerthi A., Manjula R., Chetan K.
Journal of Phytopathology scimago Q2 wos Q3
2024-09-01 citations by CoLab: 0 Abstract  
ABSTRACTLeaf blight was detected on potted blood lily (Scadoxus multiflorus) plants in a garden located in Andhra Pradesh, India. Pycnidia resembling a Lasiodiplodia species were consistently detected on the foliage of symptomatic plants. Based on morphology, cultural features and molecular analysis, the species was identified as Lasiodiplodia theobromae. Koch's postulates were fulfilled by pathogenicity tests carried out on potted blood lily plants. To the best of our knowledge, this is the first report of the occurrence of a disease caused by L. theobromae on S. multiflorus.
Manjulatha C., Desu S.T., Goel A.
Technological advancements, including automation and artificial intelligence, have significantly influenced the textile and apparel sector by improving efficiency, productivity, and sustainability. Automation has streamlined production processes, reducing labor costs and errors, while AI-driven solutions have optimized operations, from design to supply chain management. Innovations, including 3D printing, advanced materials, and smart textiles, have significantly transformed the clothing industry, allowing for rapid prototyping, personalized designs, and the creation of functional and interactive garments. However, challenges such as the need for further research, workforce up skilling, and addressing the ethical and social implications associated with automation and AI integration remain to be addressed for the industry's sustainable growth and development. To fully capitalize on these technological advancements, collaboration between industry stakeholders, investment in research and development, and ongoing education and training initiatives are essential.

Since 1998

Total publications
497
Total citations
9582
Citations per publication
19.28
Average publications per year
18.41
Average authors per publication
7.14
h-index
47
Metrics description

Top-30

Fields of science

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Agronomy and Crop Science, 200, 40.24%
Plant Science, 147, 29.58%
Genetics, 72, 14.49%
Biotechnology, 61, 12.27%
General Medicine, 49, 9.86%
Food Science, 36, 7.24%
Molecular Biology, 30, 6.04%
Soil Science, 24, 4.83%
Ecology, Evolution, Behavior and Systematics, 21, 4.23%
Physiology, 20, 4.02%
Electrical and Electronic Engineering, 19, 3.82%
Insect Science, 19, 3.82%
Horticulture, 19, 3.82%
Cell Biology, 15, 3.02%
Multidisciplinary, 15, 3.02%
Biochemistry, 14, 2.82%
Physical and Theoretical Chemistry, 14, 2.82%
Atomic and Molecular Physics, and Optics, 13, 2.62%
Health, Toxicology and Mutagenesis, 13, 2.62%
Applied Microbiology and Biotechnology, 11, 2.21%
Electronic, Optical and Magnetic Materials, 10, 2.01%
Materials Science (miscellaneous), 10, 2.01%
Ecology, 10, 2.01%
Management, Monitoring, Policy and Law, 10, 2.01%
Bioengineering, 9, 1.81%
Animal Science and Zoology, 9, 1.81%
General Environmental Science, 9, 1.81%
Geography, Planning and Development, 9, 1.81%
Agricultural and Biological Sciences (miscellaneous), 9, 1.81%
Microbiology, 8, 1.61%
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150
200

Journals

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4
6
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12
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16
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4
6
8
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12
14
16

Publishers

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150
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150
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With other organizations

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With foreign organizations

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5
6
1
2
3
4
5
6

With other countries

10
20
30
40
50
60
USA, 55, 11.07%
Australia, 16, 3.22%
Germany, 11, 2.21%
China, 10, 2.01%
Kenya, 7, 1.41%
United Kingdom, 6, 1.21%
Nigeria, 6, 1.21%
Republic of Korea, 6, 1.21%
Japan, 6, 1.21%
Ghana, 5, 1.01%
Mexico, 5, 1.01%
Netherlands, 5, 1.01%
Norway, 5, 1.01%
Vietnam, 4, 0.8%
Malaysia, 4, 0.8%
Saudi Arabia, 4, 0.8%
Philippines, 4, 0.8%
Bangladesh, 3, 0.6%
Israel, 3, 0.6%
Italy, 3, 0.6%
Tanzania, 3, 0.6%
Ethiopia, 3, 0.6%
South Africa, 3, 0.6%
Austria, 2, 0.4%
Egypt, 2, 0.4%
Indonesia, 2, 0.4%
Iran, 2, 0.4%
Canada, 2, 0.4%
Malawi, 2, 0.4%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1998 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.