Maninder P. Singh

ORCID: 0000-0001-6166-2452
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About
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Research Areas
  • Sugarcane Cultivation and Processing
  • Rice Cultivation and Yield Improvement
  • Crop Yield and Soil Fertility
  • Genetics and Plant Breeding
  • Ionosphere and magnetosphere dynamics
  • Biofuel production and bioconversion
  • Wheat and Barley Genetics and Pathology
  • Soybean genetics and cultivation
  • Legume Nitrogen Fixing Symbiosis
  • Agronomic Practices and Intercropping Systems
  • Genetic Mapping and Diversity in Plants and Animals
  • GNSS positioning and interference
  • Soil Carbon and Nitrogen Dynamics
  • Solar and Space Plasma Dynamics
  • Bioenergy crop production and management
  • Irrigation Practices and Water Management
  • Geomagnetism and Paleomagnetism Studies
  • Natural Products and Biological Research
  • Mycotoxins in Agriculture and Food
  • Forest Biomass Utilization and Management
  • Radio Wave Propagation Studies
  • Peanut Plant Research Studies
  • Flowering Plant Growth and Cultivation
  • Earthquake Detection and Analysis
  • Precipitation Measurement and Analysis

Michigan State University
2017-2025

Banasthali University
2024

Agricultural Research Service
2024

Grand Rapids Community College
2022

Dr. Rajendra Prasad Central Agriculture University
2020

Central Agricultural University
2020

Everglades University
2015-2019

University of Florida
2011-2019

Nanomaterials Research (United States)
2017

Central Building Research Institute
1993-2013

Abstract High-dimensional and high-throughput genomic, field performance, environmental data are becoming increasingly available to crop breeding programs, their integration can facilitate genomic prediction within across environments provide insights into the genetic architecture of complex traits nature genotype-by-environment interactions. To partition trait variation additive dominance (main effect) corresponding genetic-by-environment variances, identify specific factors that influence...

10.1093/g3journal/jkaa050 article EN cc-by G3 Genes Genomes Genetics 2021-01-04

Abstract Accurate prediction of the phenotypic outcomes produced by different combinations genotypes, environments, and management interventions remains a key goal in biology with direct applications to agriculture, research, conservation. The past decades have seen an expansion new methods applied toward this goal. Here we predict maize yield using deep neural networks, compare efficacy 2 model development methods, contextualize performance conventional linear machine learning models. We...

10.1093/g3journal/jkad006 article EN cc-by G3 Genes Genomes Genetics 2023-01-10

Biochar is one of the few nature-based technologies with potential to help achieve net-zero emissions agriculture. Such an outcome would involve mitigation greenhouse gas (GHG) emission from agroecosystems and optimization soil organic carbon sequestration. Interest in biochar application heightened by its several co-benefits. Several reviews summarized past investigations on biochar, but these mostly included laboratory, greenhouse, mesocosm experiments. A synthesis field studies lacking,...

10.1002/jeq2.20475 article EN cc-by-nc-nd Journal of Environmental Quality 2023-03-11

Abstract Objectives Advanced tools and resources are needed to efficiently sustainably produce food for an increasing world population in the context of variable environmental conditions. The maize genomes fields (G2F) initiative is a multi-institutional effort that seeks approach this challenge by developing flexible distributed infrastructure addressing emerging problems. G2F has generated large-scale phenotypic, genotypic, datasets using publicly available inbred lines hybrids evaluated...

10.1186/s13104-020-4922-8 article EN cc-by BMC Research Notes 2020-02-12

Abstract Soil biology is vital for maintaining productivity, enhancing soil health, and creating resilient agroecosystems. However, many questions remain on how microbial communities are impacted by different properties management practices, especially grower‐managed fields. This study examined biological health (0–15 cm) field history data from 310 fields within Michigan between Fall 2019 Spring 2021. The objectives were to evaluate the impact of texture, tillage, crop diversity populations...

10.1002/saj2.20630 article EN Soil Science Society of America Journal 2024-02-19

Abstract Silage corn ( Zea mays L.) in Michigan and the Great Lakes region is prone to an emerging foliar disease called tar spot (caused by Phyllachora maydis ). When infected with Phyllochora , stromata develop on leaves resulting early senescence drying. Therefore, understand effect of forage yield, nutritive value, predicted milk field trials were conducted at multiple locations from 2021–2023. Field arranged randomized complete block design four replications. Treatments included hybrid...

10.1002/cft2.70031 article EN cc-by Crop Forage & Turfgrass Management 2025-03-03

Abstract Relative maturity (RM) selection is important for corn ( Zea mays L.) farmers because it has significant effects on yield and profit. Selecting the appropriate RM particularly in northern Corn Belt where growing season length often a limiting factor. However, there limited information optimal maximizing partial returns Michigan other states. The objective of this study was to examine across over last two decades identify that maximizes returns. Data from irrigated dryland hybrid...

10.1002/cft2.70035 article EN cc-by Crop Forage & Turfgrass Management 2025-03-24

Mycotoxins are secondary metabolites produced by fungi that, depending on the type and exposure levels, can be a threat to human animal health. When multiple mycotoxins occur together, their risk effects health additive or synergistic. Little information is known about specific types of co-occurrence in state Michigan Great Lakes region United States. To understand types, incidences, severities, frequency maize grain (Zea mays L.), samples were collected from across over two years analyzed...

10.3390/toxins14070431 article EN cc-by Toxins 2022-06-24

Abstract Objectives This report provides information about the public release of 2018–2019 Maize G X E project Genomes to Fields (G2F) Initiative datasets. G2F is an umbrella initiative that evaluates maize hybrids and inbred lines across multiple environments makes available phenotypic, genotypic, environmental, metadata information. The understands necessity characterize deploy sources genetic diversity face challenges for more sustainable agriculture in context variable environmental...

10.1186/s12863-023-01129-2 article EN cc-by BMC Genomic Data 2023-05-25

This release note describes the Maize GxE project datasets within Genomes to Fields (G2F) Initiative. The aims understand genotype by environment (GxE) interactions and use information collected improve resource allocation efficiency increase predictability stability, particularly in scenarios of variable environmental patterns. Hybrids inbreds are evaluated across multiple environments phenotypic, genotypic, environmental, metadata made publicly available.The include phenotypic data hybrids...

10.1186/s13104-023-06430-y article EN cc-by BMC Research Notes 2023-09-14

Abstract On‐farm research has emerged in recent years as a unique approach to involve farmers and other agricultural stakeholders active participants knowledge development an effective method of technology innovation transfer across farms. This study assessed the perspective US regarding on‐farm via implementation 24‐question survey distributed most Midwest South‐Central regions. We found that generally are willing engage with universities conduct were 40% more likely adopt practices...

10.1002/agj2.21560 article EN cc-by-nc Agronomy Journal 2024-03-21

The Kellogg Biological Station Long-term Agroecosystem Research site (KBS LTAR) joined the national LTAR network in 2015 to represent a northeast portion of North Central Region, extending across 76,000 km

10.1002/jeq2.20638 article EN cc-by Journal of Environmental Quality 2024-10-16

Abstract As soybean [ Glycine max (L.) Merr.] yields reach record highs, more nutrients are required to maintain these production levels. This study was conducted evaluate the effect of S and N on yield in diverse environments across United States. Data were collected from a total 52 sites 10 states over 2 yr (2019 2020) for this study. A factorial arrangement three rates (11, 22, 33 kg ha −1 ) using two sources (ammonium sulfate [AMS] calcium [CaSO 4 ]) broadcasted by hand at planting....

10.1002/agj2.21216 article EN cc-by-nc-nd Agronomy Journal 2022-09-16

Cercosporidium personatum (Berk. & Curt.) Deighton causes late leaf spot (LLS) in peanut ( Arachis hypogaea L.), which leads to necrotic lesions, early senescence and yield losses. Detailed physiological analyses can contribute an improved understanding of peanut‐disease interactions cultivar improvement. A study was conducted evaluating two cultivars with more (York) less (Carver) quantitative resistance C. grown under fungicide‐sprayed nonsprayed conditions the field at Citra, FL over...

10.2134/agronj2010.0322 article EN Agronomy Journal 2011-01-01

Feedstock mineral composition influences suitability for conversion to energy and soil nutrient removal impacts fertilization economics of production. However, few data are available on perennial bioenergy grass crops, especially in the southeastern United States. This study was conducted at three locations Florida comparing biomass yield, composition, sugarcane ( Saccharum spp. hybrid), energycane sweetcane [ S. arundinaceum (Retz.) Jesw.], elephantgrass Pennisetum purpureum (Schum.)],...

10.2134/agronj14.0339 article EN Agronomy Journal 2015-01-05

Abstract Mycotoxins in silage corn ( Zea mays L.) accumulate due to ear rot infections by certain ascomycete fungi and cause health issues livestock. Fungal intensify with increase ear‐damaging insect injury favorable environment the US Great Lakes region. Therefore, evaluating strategies such as hybrid protection fungicide decisions manage insects, rots, mycotoxin, quality is crucial. Field trials were conducted randomized complete block design at 11 Michigan site‐years across 2019–2021...

10.1002/agj2.21342 article EN cc-by Agronomy Journal 2023-03-19

In an effort to provide a full‐spectral classification of equatorial spread F irregularities from large‐scale behavior (≈100 km) the meter‐size domain, we have analyzed combination rocket and satellite data that in concert cover complete six decade irregularity distribution. Our results composite perspective hierarchy processes contribute total phenomenon called “in situ” measurements help explain relationship spectral power at short wavelengths transitional intermediate domain. synoptic...

10.1029/ja089ia04p02313 article EN Journal of Geophysical Research Atmospheres 1984-04-01
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