U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PubAg

Main content area

You searched for: Subject "Corn Belt region" Remove constraint Subject: "Corn Belt region"
Start Over

Search

644  Search Results

« Previous | 1 - 20 of 644 |
Number of results to display per page

Search Results

1. Thermal tolerance of western corn rootworm: Critical thermal limits, knock-down resistance, and chill coma recovery

Author:
Karl A. Roeder; Jesse D. Daniels
Source:
Journal of thermal biology 2022 v.109 pp. 103338
ISSN:
0306-4565
Subject:
Corn Belt region,   etc   ; Diabrotica virgifera virgifera; climate change; ecology; heat tolerance; temperature;     Show all 6 Subjects
Abstract:
... Western corn rootworm, Diabrotica virgifera virgifera, is one of the most economically important crop pests in the world with estimates of damage and control approximating over $1 billion USD annually. Despite an abundance of research devoted to studying rootworm biology in the central Corn Belt of the United States, key aspects on their thermal ecology are still lacking. Here we address this know ...
Handle:
10113/7936608
DOI:
10.1016/j.jtherbio.2022.103338

2. Adoption challenges, needs for extension programming, and program delivery formats for organic grain producers in the U.S. Corn Belt

Author:
Guang Han; Nancy Grudens-Schuck; J. Gordon Arbuckle; Robert A. Martin
Source:
Agroecology and sustainable food systems 2022 v.46 no.2 pp. 200-233
ISSN:
2168-3573
Subject:
Corn Belt region,   etc   ; agroecology; finance; issues and policy; land tenure; leadership; outreach; Iowa;     Show all 8 Subjects
Abstract:
... This study surveyed 258 organic grain farmers in Iowa in the U.S. Midwest. We identified seven areas of challenges related to organic grain farming adoption: organic farming operations, marketing, policy, finance, inputs and information, social pressures, and land tenure. Respondents reported three key areas where extension programs were needed: education, research, and technical services. Regardi ...
DOI:
10.1080/21683565.2021.1988800

3. Mapping the National Phosphorus Recovery Potential from Centralized Wastewater and Corn Ethanol Infrastructure

Author:
Kenneth Ruffatto; Seyed Aryan Emaminejad; Ankita Juneja; Chinmay Kurambhatti; Andrew Margenot; Vijay Singh; Roland D. Cusick
Source:
Environmental science & technology 2022 v.56 no.12 pp. 8691-8701
ISSN:
1520-5851
Subject:
Corn Belt region,   etc   ; biorefining; coproducts; corn; ethanol; humans; infrastructure; inventories; livestock; phosphorus; wastewater;     Show all 11 Subjects
Abstract:
... Anthropogenic discharge of excess phosphorus (P) to water bodies and increasingly stringent discharge limits have fostered interest in quantifying opportunities for P recovery and reuse. To date, geospatial estimates of P recovery potential in the United States (US) have used human and livestock population data, which do not capture the engineering constraints of P removal from centralized water r ...
DOI:
10.1021/acs.est.1c07881

4. Contribution of temperate germplasm to the performance of maize hybrids under stress and non-stress environments in South Africa

Author:
Sphiwokuhle Shandu; Edmore Gasura; Kingstone Mashingaidze; John Derera
Source:
South African journal of plant and soil = 2022 v.39 no.1 pp. 66-76
ISSN:
2167-034X
Subject:
Corn Belt region,   etc   ; corn; genotype; genotype-environment interaction; germplasm; grain yield; soil; South Africa;     Show all 8 Subjects
Abstract:
... Increases in genetic gains are crucial to maize breeding programmes. The objectives of this study were to identify higher-yielding and stable maize hybrids across stress and non-stress environments, to identify representative test environments for testing and selection of superior maize genotypes, and to determine the contribution of temperate maize germplasm in the performance of new tropical hyb ...
DOI:
10.1080/02571862.2021.1994047

5. Evidence of western corn rootworm (Diabrotica virgifera virgifera LeConte) field‐evolved resistance to Cry3Bb1 + Cry34/35Ab1 maize in Nebraska

Author:
Jordan D Reinders; Emily E Reinders; Emily A Robinson; Bryan W French; Lance J Meinke
Source:
Pest management science 2022 v.78 no.4 pp. 1356-1366
ISSN:
1526-498X
Subject:
Corn Belt region,   etc   ; Bacillus thuringiensis; Diabrotica virgifera virgifera; corn; evolution; integrated pest management; landscapes; Nebraska;     Show all 8 Subjects
Abstract:
... BACKGROUND: Western corn rootworm (WCR; Diabrotica virgifera virgifera) field‐evolved resistance to transgenic maize expressing the Cry3Bb1 protein derived from Bacillus thuringiensis (Bt) has been confirmed across the United States Corn Belt. Although use of pyramided hybrids expressing Cry3Bb1 + Cry34/35Ab1 has increased in recent years to mitigate existing WCR Bt resistance, susceptibility of N ...
DOI:
10.1002/ps.6752

6. Effects of Climate Change on Corn Yields: Spatiotemporal Evidence from Geographically and Temporally Weighted Regression Model

Author:
Bing Yang; Sensen Wu; Zhen Yan
Source:
ISPRS international journal of geo-information 2022 v.11 no.8 pp. -
ISSN:
2220-9964
Subject:
Corn Belt region,   etc   ; algorithms; climate change; corn; food security; models; regression analysis; spatial data; temperature;     Show all 9 Subjects
Abstract:
... Food security has been one of the greatest global concerns facing the current complicated situation. Among these, the impact of climate change on agricultural production is dynamic over time and space, making it a major challenge to food security. Taking the U.S. Corn Belt as an example, we introduce a geographically and temporally weighted regression (GTWR) model that can handle both temporal and ...
DOI:
10.3390/ijgi11080433

7. Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US Corn Belt

Author:
Hannah R. Kerner; Ritvik Sahajpal; Dhruv B. Pai; Sergii Skakun; Estefania Puricelli; Mehdi Hosseini; Seth Meyer; Inbal Becker-Reshef
Source:
Science of remote sensing 2022 v.6 pp. 100059
ISSN:
2666-0172
Subject:
Corn Belt region,   etc   ; Landsat; case studies; corn; food security; land cover; phenology; soybeans; Illinois; Iowa;     Show all 10 Subjects
Abstract:
... Within-season estimates of crop-specific planted area, conditions, and expected yields are critical for decision- and policy-making related to agriculture and food security. However, these estimates require in-season crop type maps which are not currently widely available. Machine learning and remote sensing data can be used to create crop type maps that provide crop-specific land cover classifica ...
DOI:
10.1016/j.srs.2022.100059

8. Place-making in the Corn Belt: The productivist landscapes of the “good farmer”

Author:
Ben Leitschuh; William P. Stewart; Carena J. van Riper
Source:
Journal of rural studies 2022 v.92 pp. 415-424
ISSN:
0743-0167
Subject:
Corn Belt region,   etc   ; fabrics; family relations; farmers; farms; issues and policy; social change; viability; watersheds; Illinois;     Show all 10 Subjects
Abstract:
... Since the end of the second World War, the landscapes of the U.S. Corn Belt have increasingly been dominated by large-scale, industrialized agricultural production. Although not without its benefits, industrial agriculture has been shown to be detrimental to the social and ecological fabric of rural communities and beyond. In response, state and federal policy has encouraged farmers to adopt a lim ...
DOI:
10.1016/j.jrurstud.2022.05.002

9. Mesopredator occupancy patterns in a small city in an intensively agricultural region

Author:
Brandon MacDougall; Heather Sander
Source:
Urban ecosystems 2022 v.25 no.4 pp. 1231-1245
ISSN:
1083-8155
Subject:
Corn Belt region,   etc   ; Canis latrans; Vulpes vulpes; home range; land cover; landscapes; mesopredators; opossums; vegetation; wildlife; Iowa;     Show all 11 Subjects
Abstract:
... US Corn Belt landscapes are heavily anthropogenic, consisting of a vast agricultural matrix with embedded urban areas. Little non-agricultural vegetated land remains in this region. Vegetation and vegetated areas in urban settings may thus be key to supporting this region’s wildlife. We sought to assess relationships between mesopredator (mid-sized mammalian omnivores and carnivores) distributions ...
DOI:
10.1007/s11252-022-01214-x

10. Nitrate losses across 29 Iowa watersheds: Measuring long‐term trends in the context of interannual variability

Author:
Gerasimos J. N. Danalatos; Calvin Wolter; Sotirios V. Archontoulis; Michael J. Castellano
Source:
Journal of environmental quality 2022 v.51 no.4 pp. 708-718
ISSN:
0047-2425
Subject:
Corn Belt region,   etc   ; cropland; environmental quality; nitrate nitrogen; nitrates; probability; soil organic matter; tile drainage; watersheds; weather; Iowa;     Show all 11 Subjects
Abstract:
... In the U.S. Corn Belt, annual croplands are the primary source of nitrate loading to waterways. Long periods of fallow cause most nitrate loss, but there is extreme interannual variability in the magnitude of nitrate loss due to weather. Using mean annual (2001–2018) flow‐weighted nitrate‐N concentration (FWNC; mg NO₃––N L–¹), load (kg NO₃––N), and yield (kg NO₃––N ha–¹ cropland) for 29 watersheds ...
DOI:
10.1002/jeq2.20349

11. Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop Labels and the Google Earth Engine

Author:
Feng Zhi; Zhenhua Dong; Suri Guga; Yongbin Bao; Aru Han; Jiquan Zhang; Yulong Bao
Source:
Remote Sensing 2022 v.14 no.16 pp. -
ISSN:
2072-4292
Subject:
Corn Belt region,   etc   ; Internet; agricultural economics; agricultural land; chlorophyll; climate change; corn; normalized difference vegetation index; rice; soybeans; vegetation; China;     Show all 12 Subjects
Abstract:
... In the context of climate change, the remote sensing identification of crops is extremely important for the rapid development of agricultural economy and the detailed assessment of the agro-meteorological disasters. The Jilin Province is the main grain production area in China, with a reputation of being a “golden corn belt”. The main crops in the Jilin Province are rice, corn, and soybean. A larg ...
DOI:
10.3390/rs14164028

12. Impact of controlled drainage on subsurface drain flow and nitrate load: A synthesis of studies across the U.S. Midwest and Southeast

Author:
M.J. Helmers; L. Abendroth; B. Reinhart; G. Chighladze; L. Pease; L. Bowling; M. Youssef; E. Ghane; L. Ahiablame; L. Brown; N. Fausey; J. Frankenberger; D. Jaynes; K. King; E. Kladivko; K. Nelson; J. Strock
Source:
Agricultural water management 2022 v.259 pp. 107265
ISSN:
0378-3774
Subject:
Corn Belt region,   etc   ; data collection; drainage water; nitrate nitrogen; nitrates; spring; subsurface drainage; water management; Midwestern United States; North Carolina;     Show all 10 Subjects
Abstract:
... Controlled drainage (CD), sometimes called drainage water management, is a practice whereby the drainage system outflow is managed during specific periods to retain more water in the field. Although CD has been shown to reduce downstream nitrate-N (NO₃⁻-N) load, seasonal patterns have been less consistent which can potentially impact the effectiveness of conservation practices. The main objective ...
Handle:
10113/7546149
DOI:
10.1016/j.agwat.2021.107265
CHORUS:
10.1016/j.agwat.2021.107265

13. Climate Change, Agriculture, and Biodiversity: How Does Shifting Agriculture Affect Habitat Availability?

Author:
Mary Ann Cunningham
Source:
Land 2022 v.11 no.8 pp. -
ISSN:
2073-445X
Subject:
Corn Belt region,   etc   ; Zea mays; biodiversity; climate; climate change; corn; grasslands; habitat conservation; habitats; land cover; land use change; landscapes; wetlands;     Show all 13 Subjects
Abstract:
... Models show that climate change is likely to push agricultural production in the US region known as the Corn Belt northward in coming decades. The economic and social impacts of this northward shift have received extensive attention, but its environmental impacts, such as effects on biodiversity, have received less focus. The aim of this study was to evaluate the extent and distribution of grassla ...
DOI:
10.3390/land11081257

14. Prediction of Corn Yield in the USA Corn Belt Using Satellite Data and Machine Learning: From an Evapotranspiration Perspective

Author:
Zhonglin Ji; Yaozhong Pan; Xiufang Zhu; Dujuan Zhang; Jiajia Dai
Source:
Agriculture (Basel) 2022 v.12 no.8 pp. -
ISSN:
2077-0472
Subject:
Corn Belt region,   etc   ; agriculture; corn; energy; evapotranspiration; leaf area index; neural networks; prediction; regression analysis; remote sensing; surface temperature; yield forecasting;     Show all 12 Subjects
Abstract:
... The reliable prediction of corn yield for the United States of America is essential for effective food and energy management of the world. Three satellite-derived variables were selected, namely enhanced vegetation index (EVI), leaf area index (LAI) and land surface temperature (LST). The least absolute shrinkage and selection operator (LASSO) was used for regression, while random forest (RF), sup ...
DOI:
10.3390/agriculture12081263

15. An assessment of USDA corn condition ratings across the U.S. Corn Belt

Author:
Logan R. Bundy; Vittorio A. Gensini
Source:
Agronomy journal 2022 v.114 no.1 pp. 601-617
ISSN:
0002-1962
Subject:
Corn Belt region,   etc   ; National Agricultural Statistics Service; Zea mays; agronomy; climate change; corn; drought; risk assessment; stakeholders; temperature; Midwestern United States;     Show all 11 Subjects
Abstract:
... Changes in temperature, precipitation, and adverse weather across the U.S. Corn Belt associated with anthropogenic climate change may have an effect on corn (Zea mays L.) condition ratings in one of the leading corn production regions in the world. Using USDA National Agricultural Statistics Service data, this study aims to quantify the correlation of corn condition ratings with climate variables ...
DOI:
10.1002/agj2.20973

16. RNAi for Western Corn Rootworm Management: Lessons Learned, Challenges, and Future Directions

Author:
Molly Darlington; Jordan D. Reinders; Amit Sethi; Albert L. Lu; Partha Ramaseshadri; Joshua R. Fischer; Chad J. Boeckman; Jay S. Petrick; Jason M. Roper; Kenneth E. Narva; Ana M. Vélez
Source:
Insects 2022 v.13 no.1 pp. -
ISSN:
2075-4450
Subject:
Corn Belt region,   etc   ; Diabrotica virgifera virgifera; RNA interference; United States Environmental Protection Agency; Zea mays; corn; death; durability; insects; plant-incorporated protectants;     Show all 10 Subjects
Abstract:
... The western corn rootworm (WCR), Diabrotica virgifera virgifera LeConte, is considered one of the most economically important pests of maize (Zea mays L.) in the United States (U.S.) Corn Belt with costs of management and yield losses exceeding USD ~1–2 billion annually. WCR management has proven challenging given the ability of this insect to evolve resistance to multiple management strategies in ...
DOI:
10.3390/insects13010057

17. Using stable isotopes (δ2H, δ13C) to identify natal origins and larval host plant use by western bean cutworm, Striacosta albicosta (Lepidoptera: Noctuidae) captured in southern Ontario

Author:
Keith A. Hobson; Jackson W. Kusack; Jonathan Gootgarts; Fred J. Longstaffe; Jeremy N. McNeil
Source:
Ecological entomology 2022 v.47 no.3 pp. 347-356
ISSN:
0307-6946
Subject:
Corn Belt region,   etc   ; Richia albicosta; corn; entomology; host plants; larvae; larval development; overwintering; provenance; summer; wind; Illinois; Indiana; Iowa; Missouri; Ohio; Ontario;     Show all 17 Subjects
Abstract:
... The Western Bean Cutworm (Striacosta albicosta, Smith), a significant agricultural pest, has a broad distribution in North America having recently expanded northeastward. However, while there are significant populations each summer in Ontario, Canada, this species has limited local overwintering capacity, which suggests a high proportion of immigrant moths. Knowing the origins of immigrant moths w ...
DOI:
10.1111/een.13120

18. Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data

Author:
Yu Shen; Xiaoyang Zhang; Zhengwei Yang
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.186 pp. 55-69
ISSN:
0924-2716
Subject:
Corn Belt region,   etc   ; Landsat; National Agricultural Statistics Service; corn; crop management; crop yield; dormancy; phenology; photogrammetry; remote sensing; soybeans; time series analysis; vegetation;     Show all 13 Subjects
Abstract:
... Accurate and timely crop phenology is essential for efficient crop management and precise modelling of crop yield and productivity. It has been commonly mapped from moderate or coarse resolution (≥500 m) satellite data at a national or global scale, which generally represents the mixture of multiple crops or between crops and natural vegetation. Crop phenological progress at field scales (≤30 m) i ...
DOI:
10.1016/j.isprsjprs.2022.01.023

19. Footprints of corn nitrogen management on the following soybean crop

Author:
Adrian A. Correndo; Eric Adee; Luiz H. Moro Rosso; Nicolas Tremblay; P. V. Vara Prasad; Juan Du; Ignacio A. Ciampitti
Source:
Agronomy journal 2022 v.114 no.2 pp. 1475-1488
ISSN:
0002-1962
Subject:
Corn Belt region,   etc   ; Glycine max; Zea mays; agronomy; case studies; corn; fertilizer rates; nitrogen; nitrogen fertilizers; nitrogen fixation; seed yield; soil; soybeans; Kansas;     Show all 14 Subjects
Abstract:
... Corn (Zea mays L.)–soybean [Glycine max (L.) Merr.] is among the most typical crop rotations in the U.S. Corn Belt, and N is the most limiting nutrient for both crops. This study aims to assess the effects of N management for corn on the following soybean crop. Two corn–soybean rotation N fertilizer rate studies—a long‐term study (1983–2020, Case Study I) and a two‐season study (2019–2020, Case St ...
DOI:
10.1002/agj2.21023

20. Genetic Diversity and Gene Flow Observed in Two Cereal Aphid (Hemiptera: Aphididae) Species and Populations in the Chinese Corn Belt Region

Author:
Wei Sun; Qianfu Su; Wei Yang; Jiachun Zhou; Yuebo Gao
Source:
Journal of entomological science 2022 v.57 no.3 pp. 363-379
ISSN:
0749-8004
Subject:
Corn Belt region,   etc   ; Rhopalosiphum maidis; Rhopalosiphum padi; Zea mays; corn; cytochrome-c oxidase; gene flow; genes; genetic distance; genetic variation; haplotypes; mitochondria; variance; China;     Show all 14 Subjects
Abstract:
... The cereal aphids, Rhopalosiphum maidis (Fitch) and Rhopalosiphum padi (L.) (Hemiptera: Aphididae), are serious pests of maize, Zea mays L., globally. Basic information about the genetic structure of these aphids is unknown. We, therefore, estimated the genetic diversity and genetic flow from partial fragments of the mitochondrial cytochrome oxidase I gene collected from different geographic popul ...
DOI:
10.18474/JES21-64