49 results match your criteria: "ICAR-Indian Institute of Soybean Research[Affiliation]"

This study considered soybean processing mill waste (hulls) as an organic substrate for mass multiplication of indigenous arbuscular mycorrhizal (AM) fungi on sorghum and amaranthus as hosts. In the first experiment, from seven soybean processing mill wastes, three wastes were evaluated for their ability to multiply AM fungi on the two host plants. Among these wastes, hulls were found to be promising for the multiplication of AM fungi and were further examined in a second experiment in combination with vermicompost (VC), a mix of hulls plus vermicompost (SH + VC) amended with soil: sand mix (3:1 v/v) and a soil-sand mix used as a control (SS) in polybags containing the previous two host species.

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Seed size and shape traits are important determinants of seed yield and appearance quality in soybean [ (L.) Merr.].

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This paper introduces a kernel based fuzzy clustering approach to deal with the non-linear separable problems by applying kernel Radial Basis Functions (RBF) which maps the input data space non-linearly into a high-dimensional feature space. Discovering clusters in the high-dimensional genomics data is extremely challenging for the bioinformatics researchers for genome analysis. To support the investigations in bioinformatics, explicitly on genomic clustering, we proposed high-dimensional kernelized fuzzy clustering algorithms based on Apache Spark framework for clustering of Single Nucleotide Polymorphism (SNP) sequences.

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Soybean is a typical short-day (SD) plant. It undergoes reproductive growth only when the day length becomes shorter than a critical length. Fourteen major genes/loci affecting soybean flowering and maturity period have been mapped to date.

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Background: The root system provides nutrient absorption and is closely related to abiotic stress tolerance, but it is difficult to study the roots under field conditions. This study was conducted to identify quantitative trait loci (QTL) associated with primary root length (PRL) during soybean seedling growth in hydroponic conditions. A total of 103 F recombinant inbred lines (RILs) derived from a cross between K099 (short primary root) and Fendou 16 (long primary root) were used to identify QTL for PRL in soybean.

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Application of enzymes as a diagnostic tool for soils as affected by municipal solid wastes.

J Environ Manage

May 2021

Agro-ecotechnology Laboratory, Centre for Rural Technology, Indian Institute of Technology Guwahati (IITG), North Guwahati, Assam, 781039, India. Electronic address:

Assessing the relationship between soil enzyme activities (SEAs) and heavy metals (HMs) without any amendment has rarely been conducted in soils contaminated with municipal solid wastes (MSW). Five soil enzymes [dehydrogenase (DHA), alkaline phosphatase (ALP), acid phosphatase (ACP), urease (UR), and nitrate reductase (NR)] have been assessed for HMs bioremediation using Zea mays L. grown in unamended soils that were contaminated with different types of MSW.

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Seedling rot symptoms were observed at Research Farm of ICAR-Indian Institute of Soybean Research, Indore, India. The infected seedlings had water-soaked lesions on the cotyledons and hypocotyls that gradually developed into brown lesions and further progressed to soft rot. These seedlings could be easily pulled-off from the soil.

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We have shown, the outcome of antifungal activity of phenazine derivatives which is produced by fluorescent pseudomonads (FPs) for the control of sheath blight of rice. A total of 50 fluorescent pseudomonads (FPs) were isolated from rice rhizosphere. Off which, 36 FPs exhibited antagonistic activity against , , , and up to 70-80% compared to control by dual culture method.

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Seed coat impermeability (SCI) in soybean is associated with seed viability under storage and quality of processed products. Understanding genetics and identification of linked molecular markers would facilitate need-based utilization of seed coat impermeability. Two impermeable wild type ( Sieb.

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Whole Genome Re-sequencing of Soybean Accession EC241780 Providing Genomic Landscape of Candidate Genes Involved in Rust Resistance.

Curr Genomics

November 2020

1 ICAR-Indian Institute of Soybean Research, Indore-452001, MP, India; 2School of Life Sciences, Devi Ahilya University, Indore, MP, India; 3Agricultural Research Station, (MPKV), Kasbe Digraj, Sangli, MS, India; 4ICAR-National Institute of Abiotic Stress Management, Baramati, MS, India; 5National Agri-Food Biotechnology Institute, Mohali, India; 6National Institute of Plant Genome Research, New Delhi, India.

Article Synopsis
  • The study focuses on whole genome re-sequencing of a rust-resistant soybean genotype, EC241780, to explore its genetic basis for resistance.
  • A total of 374 million raw reads were generated, with high-quality sequences mapped to the reference soybean genome, allowing for comparison with susceptible cultivars to identify genetic differences.
  • Findings highlight that EC241780 shares significant genetic similarity with another rust-resistant genotype and identifies three key genes as potential candidates responsible for its resistance mechanism.
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The main aim of this work is to assess the extent of soil contamination, potential ecological and health risks associated with the disposal of municipal solid waste (MSW) near a Ramsar site in Assam, India. Soil samples were collected and analysed for three heavy metals (HMs), namely, chromium (Cr), manganese (Mn) and zinc (Zn). The sources of HMs and their pollution levels were evaluated using different indices.

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Drought is a critical factor limiting the productivity of legumes worldwide. Legumes can enter into a unique tripartite symbiotic relationship with root-nodulating bacteria of genera , , or and colonization by arbuscular mycorrhizal fungi (AMF). Rhizobial symbiosis provides nitrogen necessary for growth.

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Assessment of temperature effect on plant resistance against diseases has become essential under climate change scenario as temperature rise is anticipated to modify host resistance. To determine temperature influence on resistance gene, a pair of near-isogenic rice lines differing for the Pi54 resistance gene was assessed against leaf blast. Blast resistance was determined as the extent of infection efficiency (IE) and sporulation (SP) at suboptimal (22 °C and 32 °C) and optimal temperature (27 °C) of pathogen aggressiveness.

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Rice bean: a lesser known pulse with well-recognized potential.

Planta

September 2019

ICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Mall Road, Almora, Uttarakhand, 263601, India.

Article Synopsis
  • * Rice bean serves as a food security crop primarily for small-scale farmers in Southeast Asia, offering potential resistance to various stresses like drought and soil acidity, but it faces challenges in agronomic performance and market presence.
  • * Improving rice bean’s yield, color consistency, taste, and reducing anti-nutrients through collaborative efforts could enhance its economic value and support marginal farmers while preserving valuable genomic resources.
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A set of 90 Indian soybean landraces were analysed for polymorphism at 43 SSRs and five allele specific markers of four major genes involved in regulating flowering and photoperiod response. A total of 42 polymorphic SSRs had amplified 126 alleles which served as raw data for estimation of genetic relationship and population structure among 90 accessions. Rare alleles of four and three SSRs were detected in accessions IC18768 and IC15089, respectively.

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We develop a Vector Quantized Spectral Clustering (VQSC) algorithm that is a combination of spectral clustering (SC) and vector quantization (VQ) sampling for grouping genome sequences of plants. The inspiration here is to use SC for its accuracy and VQ to make the algorithm computationally cheap (the complexity of SC is cubic in terms of the input size). Although the combination of SC and VQ is not new, the novelty of our work is in developing the crucial similarity matrix in SC as well as use of -medoids in VQ, both adapted for the plant genome data.

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Mungbean yellow mosaic India virus (MYMIV) infecting soybean and other legumes causes yellow mosaic disease (YMD). Evaluation of soybean genotypes for YMD resistance involves field screening at disease hot spots or in a protected environment using infectious clones or viruliferous whiteflies as sources of virus inocula. Development of efficient virus inoculation and quantification protocols to screen soybean genetic stocks against YMD is imperative for breeding resistant varieties.

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Analysis of stress-associated miRNAs of Glycine max (L.) Merrill reveals wider ramifications of small RNA-mediated (conserved and legume-specific miRNAs) gene regulatory foot prints in molecular adaptive responses. MicroRNAs (miRNAs) are indispensable components of gene regulatory mechanism of plants.

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In this study, pot experiments were performed to investigate the effects of high temperature stress (44 °C) in maize plants colonized with and without arbuscular mycorrhizal fungi (AMF). Various parameters characterizing photosynthetic activity were measured in order to estimate the photosynthetic efficiency in maize plants. It was observed that density of active reaction centers of PSII, quantum efficiency of photosystem II (PSII), linear electron transport, excitation energy trapping, performance index, net photosynthesis rate increased in AMF (+) plants at 44 °C ± 0.

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Geminiviruses are plant-infecting viruses characterized by a single-stranded DNA (ssDNA) genome. Geminivirus-derived proteins are multifunctional and effective regulators in modulating the host cellular processes resulting in successful infection. Virus-host interactions result in changes in host gene expression patterns, reprogram plant signaling controls, disrupt central cellular metabolic pathways, impair plant's defense system, and effectively evade RNA silencing response leading to host susceptibility.

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Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of Bradyrhizobium spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil moisture conditions was evaluated using phenomics tools such as infrared(IR) thermal and visible imaging. Red, green and blue (RGB) colour pixels were standardized to analyse a total of 1017 IR thermal and 692 visible images.

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(MYMIV) is one of the most prevalent pathogen that limits soybean production in India. In this study RILs derived from JS335, dominant but MYMIV susceptible variety and PI171443, donor of MYMIV resistance gene in most of the MYMIV resistant varieties released in India and F2 population derived from SL525, a resistant variety released for northern India and NRC101, a susceptible genotype were used to study the inheritance of MYMIV resistance and map the gene responsible for MYMIV resistance. F1s were found to be completely susceptible.

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Food legumes play an important role in attaining both food and nutritional security along with sustainable agricultural production for the well-being of humans globally. The various traits of economic importance in legume crops are complex and quantitative in nature, which are governed by quantitative trait loci (QTLs). Mapping of quantitative traits is a tedious and costly process, however, a large number of QTLs has been mapped in soybean for various traits albeit their utilization in breeding programmes is poorly reported.

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Background: Presence of Kunitz trypsin inhibitor (KTI) in soybean seeds necessitates pre-heat treatment of the soy-flour for its inactivation before using it in food and feed products. The heat treatment not only enhances processing costs of the soy-based foods and feeds but also affects seed-protein quality and solubility. Genetic elimination of KTI is an important and effective approach.

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