Divergent Cotton leaf curl Multan betasatellite and three different alphasatellite species associated with cotton leaf curl disease outbreak in Northwest India.

Cotton leaf curl disease (CLCuD) is a major constraint for production of cotton (Gossypium sp.) in Northwest India. CLCuD is caused by a monopartite, circular ssDNA virus belonging to the genus Begomovirus in association with betasatellites and alphasatellites, and ttransmitted by a whitefly vector (Bemisia tabaci).

Intensive cropping influences the success of seed dormancy breaking methods in Australian collected Hordeum, Avena, and Bromus sp.

Background: Seed dormancy is a critical evolutionary trait that enhances the persistence of plant populations under both natural and managed conditions. It is influenced by genetic and environmental factors, with crop management practices like tillage and herbicide use reportedly selecting for increased seed dormancy in weeds. This study aimed to compare the success of seed dormancy breaking methods between weed populations collected from intensively managed crop fields and unmanaged ruderal locations.

Marker-assisted pseudo-backcrossing for developing climate-resilient rice.

The increased prevalence of abiotic stresses, such as salt, submergence, and drought, severely affects rice productivity. Developing a rice variety, with inbuilt resistance to these main abiotic stresses, will contribute to a long-term rise in rice yield in adverse environments. In the present study, the rice variety Improved White Ponni (IWP) a high-yielding but highly susceptible to drought, salinity, and submergence variety was introgressed with Sub1 + SalT + DTY2.

A GIS-coupled thermal response model for predicting the population growth potential of the red cotton bug, Dysdercus koenigii (Fabricius) (Hemiptera: Pyrrhocoridae) in India under climate change conditions.

Recently, the red cotton bug has become a significant menace to cotton in India. With the potential for increased habitat suitability due to predicted temperature rise of 2.5 °C under future climate change in India, this pest could become even more severe in certain regions.

Unraveling the urban climate crisis: Exploring the nexus of urbanization, climate change, and their impacts on the environment and human well-being - A global perspective.

The accelerating pace of urbanization, coupled with the intensifying impacts of climate change, poses unprecedented challenges to both the environment and human well-being. In this review, we delved into the intricate interaction between climate change and urbanization and the various effects they have on the environment and human well-being, shedding light on the emergent urban climate crisis. Urban areas serve as epicenters for diverse socio-economic activities, yet they also contribute significantly to global greenhouse gas emissions and environmental degradation.

Breeding for brown plant hopper resistance in rice: recent updates and future perspectives.

Rice yield is often threatened by various stresses caused by biotic and abiotic agents. Many biotic stress factors are known to cause crop growth and yield from seedling to maturity. The brown plant hopper (BPH) can potentially reduce the rice yield to an extent of up to 80%.

Identification and biophysical characterization of potential phytochemical inhibitors of carboxyl/choline esterase from Helicoverpa armigera for advancing integrated pest management strategies.

In the realm of disease vectors and agricultural pest management, insecticides play a crucial role in preserving global health and ensuring food security. The pervasive use, particularly of organophosphates (OPs), has given rise to a substantial challenge in the form of insecticide resistance. Carboxylesterases emerge as key contributors to OP resistance, owing to their ability to sequester or hydrolyze these chemicals.

Influence of shifting thermal regimes on tomato fruit borer, Helicoverpa armigera (Hubner) in the Eastern Himalaya: implications for pest management strategies.

Climate change, particularly temperature fluctuations, profoundly impacts pest populations. This study focuses on the tomato, a crucial commercial crop in the Eastern Himalayan Region of India. The study examined the impact of varying thermal regimes on tomato fruit borers.

Machine learning approaches for estimation of the fraction of absorbed photosynthetically active radiation and net photosynthesis rate of maize using multi-spectral sensor.

The fraction of absorbed photosynthetically active radiation (FAPAR) and the photosynthesis rate (Pn) of maize canopies were identified as essential photosynthetic parameters for accurately estimating vegetation growth and productivity using multispectral vegetation indices (VIs). Despite their importance, few studies have compared the effectiveness of multispectral imagery and various machine learning techniques in estimating these photosynthetic traits under high vegetation coverage. In this study, seventeen multispectral VIs and four machine learning (ML) algorithms were utilized to determine the most suitable model for estimating maize FAPAR and Pn during the and seasons at Tamil Nadu Agricultural University, Coimbatore, India.

Enzyme-based sensor for the real-time detection of atrazine: Evidence from electrochemical and docking studies.

This study focused on strategically employing the carboxylesterase enzyme Ha006a, derived from the pesticide-resistant microorganism Helicoverpa armigera, to detect atrazine. A comprehensive analysis through biochemical, biophysical and bioinformatics approaches was conducted to determine the interaction between the Ha006a protein and the herbicide atrazine. These experimental findings elucidated the potential of leveraging the inherent pesticide sequestration mechanism of the Ha006a enzyme for sensor fabrication.

Food contaminants: Impact of food processing, challenges and mitigation strategies for food security.

Food preparation involves the blending of various food ingredients to make more convenient processed food products. It is a long chain process, where each stage posing a risk of accumulating hazardous contaminants in these food systems. Protecting the public health from contaminated foods has become a demanding task in ensuring food safety.

Investigating the second whitefly population outbreak within a decade in the cotton growing zone of North India.

The whitefly, (Gennadius), is a polyphagous and major pest of cotton worldwide. Both adults and nymphs of affect the crop by causing direct and indirect damage. A severe whitefly outbreak was experienced during 2015 on cotton in North India and this was followed by a profound infestation during 2022.

Effect of temperature on the biological parameters of pink bollworm, Pectinophora gossypiella Saunders (Lepidoptera: Gelechiidae).

Pink bollworm (PBW) Pectinophora gossypiella is an important pest cotton worldwide. There are multiple factors which determines the occurrence and distribution of P. gossypiella across different cotton growing regions of the world, and one such key factor is 'temperature'.

Sequencing and analysis of the complete mitochondrial genome of Ishida, 1913 (Hemiptera: Cicadellidae: Typhlocybinae: Empoascini).

The complete mitogenome of the cotton leafhopper, Ishida, 1913, was sequenced and annotated. The mitogenome is 14,474 bp long and contains 37 genes, including 13 protein-coding genes (PCGs), two ribosomal RNA (rRNA) genes, and 22 transfer RNA (tRNA) genes, as well as a control region. The nucleotide composition of the mitogenome is as follows: A, 39.

Diversity study of Beauveria bassiana species for finding the most virulent strain to manage Bemisia tabaci in cotton.

Beauveria bassiana (Bal.-Criv.) is an important entomopathogenic fungus being used for the management of various agricultural pests worldwide.

Harnessing nature's arsenal: Ochrobactrum bacteria metabolites in the battle against root- knot nematode - Insights from in vitro and molecular docking studies.

Agricultural Productivity and plant health are threatened by the root-knot nematode. The use of biocontrol agents reduces the need for chemical nematicides and improves the general health of agricultural ecosystems by offering a more environmentally friendly and sustainable method of managing nematode infestations. Plant-parasitic nematodes can be efficiently managed with the use of entomopathogenic nematodes (EPNs), which are widely used biocontrol agents.

Unraveling the impact of nanopollution on plant metabolism and ecosystem dynamics.

Nanopollution (NPOs), a burgeoning consequence of the widespread use of nanoparticles (NPs) across diverse industrial and consumer domains, has emerged as a critical environmental issue. While extensive research has scrutinized the repercussions of NPs pollution on ecosystems and human health, scant attention has been directed towards unraveling its implications for plant life. This comprehensive review aims to bridge this gap by delving into the nuanced interplay between NPOs and plant metabolism, encompassing both primary and secondary processes.

Heterologous expression, biochemical characterization and prospects for insecticide biosensing potential of carboxylesterase Ha006a from Helicoverpa armigera.

Enzymes have attracted considerable scientific attention for their crucial role in detoxifying a wide range of harmful compounds. In today's global context, the extensive use of insecticides has emerged as a significant threat to the environment, sparking substantial concern. Insects, including economically important pests like Helicoverpa armigera, have developed resistance to conventional pest control methods through enzymes like carboxyl/cholinesterases.

The comparison of species diversity and abundance of insect natural enemies in the domesticated species of cotton using the yellow pan trap method.

India is the world's largest cotton producer and the only country that grows all four cultivated cotton species. There have been very few studies on the diversity and abundance of natural enemies of cotton insect pests in these cultivated cotton species. Therefore, the current study (2016-2018) was conducted to assess the diversity and abundance of natural enemies that cultivated cotton species harbour.

Improvement of qualitative and quantitative traits in cotton under normal and stressed environments using genomics and biotechnological tools: A review.

Due to the increasing demand for high-quality and high fiber-yielding cotton (Gossypium spp.), research into the development of stress-resilient cotton cultivars has acquired greater significance. Various biotic and abiotic stressors greatly affect cotton production and productivity, posing challenges to the future of the textile industry.