Harsanjam Singh, Josh Lofton, Daryl Brian Arnall, Alex Rocateli, Sumit Sharma
With declining of the Ogallala Aquifer in the Central High Plains, cotton (Gossypium hirsutum L.) has emerged as a low-water-demanding alternative to corn (Zea mays). However, cotton harvest leaves minimal cover on the soil surface following harvest due to application of harvest aids. Planting cover crops following cotton harvest is not always viable as it often leaves insufficient time for establishing covers due to cold and dry conditions in the region. Seeding cover crops in standing cotton may be a viable option; however, the effect of harvest aids on these covers remains unknown. This study evaluates the response of cover crops winter pea (Pisum sativum), triticale (Triticosecale rimpaui Wittm), hairy vetch (Vicia villosa), black oats (Avena sativa), crimson clover (Trifolium incarnatum), and rapeseed (Brassica napus L.) to different cotton harvest aids (DFT-6EC and AIM). The crops were grown in pots in climate-controlled chambers and green cover was measured weekly using Canopeo application. The crops were sprayed with harvest aids 42 days after planting. The green cover was reduced in all crops by at least 45% within 2 weeks after spraying for both harvest aids when compared to check pots, with winter pea losing 100% of green cover. The average harvest biomass was reduced by 45% and 52% in pots sprayed with AIM and DFT as compared to check pots, respectively. These results show that cover crops are susceptible to cotton harvest aids and will need adequate time to produce biomass before harvest aid application if interseeded in cotton crops.
{"title":"Winter cover crops’ response to different cotton harvest aids","authors":"Harsanjam Singh, Josh Lofton, Daryl Brian Arnall, Alex Rocateli, Sumit Sharma","doi":"10.1002/agg2.70246","DOIUrl":"https://doi.org/10.1002/agg2.70246","url":null,"abstract":"<p>With declining of the Ogallala Aquifer in the Central High Plains, cotton (<i>Gossypium hirsutum</i> L.) has emerged as a low-water-demanding alternative to corn (<i>Zea mays</i>). However, cotton harvest leaves minimal cover on the soil surface following harvest due to application of harvest aids. Planting cover crops following cotton harvest is not always viable as it often leaves insufficient time for establishing covers due to cold and dry conditions in the region. Seeding cover crops in standing cotton may be a viable option; however, the effect of harvest aids on these covers remains unknown. This study evaluates the response of cover crops winter pea (<i>Pisum sativum</i>), triticale (<i>Triticosecale rimpaui Wittm</i>), hairy vetch (<i>Vicia villosa</i>), black oats (<i>Avena sativa</i>), crimson clover (<i>Trifolium incarnatum</i>), and rapeseed (<i>Brassica napus</i> L.) to different cotton harvest aids (DFT-6EC and AIM). The crops were grown in pots in climate-controlled chambers and green cover was measured weekly using Canopeo application. The crops were sprayed with harvest aids 42 days after planting. The green cover was reduced in all crops by at least 45% within 2 weeks after spraying for both harvest aids when compared to check pots, with winter pea losing 100% of green cover. The average harvest biomass was reduced by 45% and 52% in pots sprayed with AIM and DFT as compared to check pots, respectively. These results show that cover crops are susceptible to cotton harvest aids and will need adequate time to produce biomass before harvest aid application if interseeded in cotton crops.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70246","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145407077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. V Pessotto, T. L. Roberts, C. dos Santos, K. A. Hoegenauer, M. Bertucci, W. J. Ross, M. Savin
Cover cropping is an important management practice that can benefit the cash crop and the environment. Plant species, weather, and cover crop termination influence biomass production and N fixation potential. This study was conducted to determine optimal termination dates for production systems in Arkansas based on growing degree days (GDD) for eight different cover crop species: Austrian winter pea (AWP) (Pisum sativum), balansa clover (Trifolium michelianum), barley (Hordeum vulgare), black-seeded oats (Avena sativa), common vetch (Vicia sativa var. Cahaba), cereal rye (Secale cereale), crimson clover (Trifolium incarnatum), and hairy vetch (Vicia villosa). Field studies were conducted at three research stations in Arkansas to provide differences in climate and rate of GDD accumulation. An area of 0.17 m2 was harvested for aboveground biomass and total N uptake randomly within each experimental unit every 2 weeks, starting on February 15. Aboveground biomass accumulation and N content were regressed as a function of GDD for each cover crop treatment. At the Rohwer site, AWP, for example, accumulated an average of 3643 kg ha−1 of biomass and 107 kg N ha−1 at termination, whereas 30 days before termination, the average was 1868 kg ha−1 of biomass and 69 kg N ha−1. The growth rate increased dramatically closer to termination due to warmer temperatures, which allowed for rapid GDD and aboveground biomass accumulation. These results suggest that termination dates can be identified using previous and forecasted weather data.
覆盖种植是一项重要的经济作物和环境效益管理措施。植物种类、天气和覆盖作物终止影响生物量生产和固氮潜力。本研究基于生长度天数(GDD)确定阿肯色州8种不同覆盖作物的生产系统的最佳终止日期:奥地利冬豌豆(AWP)、三叶草(Trifolium michelianum)、大麦(Hordeum vulgare)、黑籽燕麦(Avena sativa)、普通豇豆(Vicia sativa var. Cahaba)、谷物黑麦(Secale cereale)、深红色三叶草(Trifolium incarnatum)和毛豌豆(Vicia villosa)。在阿肯色州的三个研究站进行了实地研究,以提供气候和GDD积累速度的差异。从2月15日开始,每个试验单元每2周随机收获地上生物量和总氮吸收量0.17 m2。对不同覆盖作物处理的地上生物量积累和氮素含量进行了GDD函数回归。例如,在Rohwer站点,AWP在终止时平均积累了3643 kg ha - 1生物量和107 kg N ha - 1,而在终止前30天,平均积累了1868 kg ha - 1生物量和69 kg N ha - 1。由于温度升高,生长速度在接近终止时急剧增加,这允许快速的GDD和地上生物量积累。这些结果表明,可以使用以前和预测的天气数据来确定终止日期。
{"title":"Use of growing degree days to model the dynamics of aboveground biomass and nitrogen accumulation of winter cover crops","authors":"M. V Pessotto, T. L. Roberts, C. dos Santos, K. A. Hoegenauer, M. Bertucci, W. J. Ross, M. Savin","doi":"10.1002/agg2.70249","DOIUrl":"https://doi.org/10.1002/agg2.70249","url":null,"abstract":"<p>Cover cropping is an important management practice that can benefit the cash crop and the environment. Plant species, weather, and cover crop termination influence biomass production and N fixation potential. This study was conducted to determine optimal termination dates for production systems in Arkansas based on growing degree days (GDD) for eight different cover crop species: Austrian winter pea (AWP) (<i>Pisum sativum</i>), balansa clover (<i>Trifolium michelianum</i>), barley (<i>Hordeum vulgare</i>), black-seeded oats (<i>Avena sativa</i>), common vetch (<i>Vicia sativa</i> var. Cahaba), cereal rye (<i>Secale cereale</i>), crimson clover (<i>Trifolium incarnatum</i>), and hairy vetch (<i>Vicia villosa</i>). Field studies were conducted at three research stations in Arkansas to provide differences in climate and rate of GDD accumulation. An area of 0.17 m<sup>2</sup> was harvested for aboveground biomass and total N uptake randomly within each experimental unit every 2 weeks, starting on February 15. Aboveground biomass accumulation and N content were regressed as a function of GDD for each cover crop treatment. At the Rohwer site, AWP, for example, accumulated an average of 3643 kg ha<sup>−1</sup> of biomass and 107 kg N ha<sup>−1</sup> at termination, whereas 30 days before termination, the average was 1868 kg ha<sup>−1</sup> of biomass and 69 kg N ha<sup>−1</sup>. The growth rate increased dramatically closer to termination due to warmer temperatures, which allowed for rapid GDD and aboveground biomass accumulation. These results suggest that termination dates can be identified using previous and forecasted weather data.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70249","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145407078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soil fertility depletion, particularly nitrogen and phosphorus, is a major constraint to wheat (Triticum aestivum L.) productivity in Ethiopia, influencing crop yields and food security. A field experiment was conducted to determine the optimum nitrogen and phosphorus rates for wheat yield, nutrient uptake, nutrient use efficiency, and economic returns in Wadla District, North Wollo, Ethiopia. The experiment was arranged in a factorial randomized complete block design with three replications. The treatment consisted of 46, 92, 138, and 184 kg ha−1 N levels and 23, 46, 69, and 92 kg ha−1 P2O5 levels. Yield and yield component parameters, as well as a plant sample, were collected. The collected data were analyzed using Statistical Application Software in a mixed model. The results showed that the nutrient levels significantly influenced yield, yield components, nutrient uptake, nutrient use efficiency, and economic returns. The maximum biological grain (3840.0 kg ha−1) and biomass (7910 kg ha−1) yields were recorded at 138 kg N ha−1 with 92 kg P2O5 ha−1. The highest performance, in terms of economically yield-related parameters, was recorded with the combined application of 138 kg N ha−1 and 69 kg P2O5 ha−1, resulting in biomass and grain yields of 7800 and 3770 kg ha−1, respectively. Total nitrogen uptake was high for 138 kg N ha−1 (82.52 kg N ha−1), while phosphorus uptake was high for 69 kg P2O5 ha−1 (18.42 kg P ha−1), with uptake efficiency decreasing at higher rates. The nutrient use efficiency parameter also reached its highest values at the lowest to moderate N and P levels. Partial budget analysis indicates that the applications of 138 kg N ha−1 with 69 kg P2O5 ha−1 gave the highest net benefit of 258,954.2 ETB ha−1, with a marginal return of 5825.3%. Therefore, the application of 138 kg N ha−1 and 69 kg P2O5 ha−1 is recommended for maximizing wheat yield, economic returns, and enhancing nutrient uptake and nutrient efficiency in Wadla and similar agro-ecological areas. Further research should be done on the long-term residual effect of P and nutrient efficiency through regular soil testing and monitoring to enhance nutrient uptake while minimizing environmental footprints.
土壤肥力枯竭,特别是氮和磷的枯竭,是埃塞俄比亚小麦(Triticum aestivum L.)生产力的主要制约因素,影响作物产量和粮食安全。在埃塞俄比亚北沃罗的Wadla地区进行了田间试验,以确定氮磷素对小麦产量、养分吸收、养分利用效率和经济效益的最佳影响。试验采用因子随机完全区组设计,设3个重复。处理包括46、92、138和184 kg ha−1 N水平和23、46、69和92 kg ha−1 P2O5水平。收集了产量和产量组成参数以及植株样品。采用统计应用软件对收集的数据进行混合模型分析。结果表明,不同营养水平对水稻产量、产量构成、养分吸收、养分利用效率和经济效益均有显著影响。最大生物粒(3840.0 kg ha - 1)和生物量(7910 kg ha - 1)产量记录为138 kg N ha - 1和92 kg P2O5 ha - 1。就经济产量相关参数而言,138 kg N + 69 kg P2O5组合施用的产量最高,生物量和粮食产量分别达到7800 kg ha - 1和3770 kg ha - 1。总氮吸收量在138 kg N ha−1 (82.52 kg N ha−1)时较高,而磷吸收量在69 kg P2O5 ha−1 (18.42 kg P ha−1)时较高,且吸收量随速率的增加而降低。在低、中氮磷水平下,养分利用效率参数达到最大值。部分预算分析表明,施用138 kg N ha - 1和69 kg P2O5 ha - 1的净效益最高,为258,954.2 ETB ha - 1,边际回报率为5825.3%。因此,在Wadla和类似的农业生态区,建议施用138 kg N和69 kg P2O5 ha - 1,以最大限度地提高小麦产量和经济效益,提高养分吸收和养分效率。通过定期的土壤测试和监测,进一步研究磷的长期残留效应和养分效率,以提高养分吸收,同时最大限度地减少环境足迹。
{"title":"Optimizing bread wheat (Triticum aestivum L.) yield and nutrient use efficiency through nitrogen and phosphorus management in Nitisols of Eastern Amhara Highlands, Ethiopia","authors":"Kassa Sisay, Yihenew G. Selassie, Birru Yitaferu","doi":"10.1002/agg2.70248","DOIUrl":"https://doi.org/10.1002/agg2.70248","url":null,"abstract":"<p>Soil fertility depletion, particularly nitrogen and phosphorus, is a major constraint to wheat (<i>Triticum aestivum</i> L.) productivity in Ethiopia, influencing crop yields and food security. A field experiment was conducted to determine the optimum nitrogen and phosphorus rates for wheat yield, nutrient uptake, nutrient use efficiency, and economic returns in Wadla District, North Wollo, Ethiopia. The experiment was arranged in a factorial randomized complete block design with three replications. The treatment consisted of 46, 92, 138, and 184 kg ha<sup>−1</sup> N levels and 23, 46, 69, and 92 kg ha<sup>−1</sup> P<sub>2</sub>O<sub>5</sub> levels. Yield and yield component parameters, as well as a plant sample, were collected. The collected data were analyzed using Statistical Application Software in a mixed model. The results showed that the nutrient levels significantly influenced yield, yield components, nutrient uptake, nutrient use efficiency, and economic returns. The maximum biological grain (3840.0 kg ha<sup>−1</sup>) and biomass (7910 kg ha<sup>−1</sup>) yields were recorded at 138 kg N ha<sup>−1</sup> with 92 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup>. The highest performance, in terms of economically yield-related parameters, was recorded with the combined application of 138 kg N ha<sup>−1</sup> and 69 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup>, resulting in biomass and grain yields of 7800 and 3770 kg ha<sup>−1</sup>, respectively. Total nitrogen uptake was high for 138 kg N ha<sup>−1</sup> (82.52 kg N ha<sup>−1</sup>), while phosphorus uptake was high for 69 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> (18.42 kg P ha<sup>−1</sup>), with uptake efficiency decreasing at higher rates. The nutrient use efficiency parameter also reached its highest values at the lowest to moderate N and P levels. Partial budget analysis indicates that the applications of 138 kg N ha<sup>−1</sup> with 69 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> gave the highest net benefit of 258,954.2 ETB ha<sup>−1</sup>, with a marginal return of 5825.3%. Therefore, the application of 138 kg N ha<sup>−1</sup> and 69 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> is recommended for maximizing wheat yield, economic returns, and enhancing nutrient uptake and nutrient efficiency in Wadla and similar agro-ecological areas. Further research should be done on the long-term residual effect of P and nutrient efficiency through regular soil testing and monitoring to enhance nutrient uptake while minimizing environmental footprints.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70248","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145407079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lithma Kariyawasam Hetti Gamage, Saurav Das, Mitchell Stephenson, Umesh Acharya, Aaron Lee M. Daigh, Bijesh Maharjan
Soil health is critical to sustain crop productivity and ecosystem functions. However, assessing soil health remains challenging due to variability in soil types, management practices, and climatic conditions. The objective of this study is to compare selected soil health indicators between croplands and undisturbed reference sites across a gradient of soil and climatic conditions in Nebraska. Four paired sites were selected from Cropland Reference Ecological Units representing distinct soil textures and precipitation regimes in Major Land Resource Areas (MLRAs) 106 and 67A. Soil samples were analyzed for organic matter (OM), β-glucosidase (BG) and phosphomonoesterase (PME), inorganic phosphorus (P), pH, bulk density (BD), and microbial community components (fungal-to-bacterial ratio and total fungal biomass). Reference sites with higher precipitation and finer soil textures had greater OM, BG, and PME and lower pH than those with low precipitation and coarse soils. Croplands at sites with manuring and no-till recorded lower OM depletion from reference site levels (28%) than sites with continued conventional tillage (31%–54%), underscoring the benefits of low-intensity land preparation and organic amendments. Croplands had lower PME activity than reference sites, suggesting that crop production entirely depends on P input to meet crop P requirements. A manured cropland had a higher BD than the reference site, illustrating the overall impact of management on soil health, which would have been otherwise overlooked had it not been compared against reference sites. Such comparisons between croplands and reference sites with regional consideration also help establish site-specific soil health targets.
{"title":"Soil health assessment across paired cropland and reference sites under diverse edaphic and climatic conditions","authors":"Lithma Kariyawasam Hetti Gamage, Saurav Das, Mitchell Stephenson, Umesh Acharya, Aaron Lee M. Daigh, Bijesh Maharjan","doi":"10.1002/agg2.70233","DOIUrl":"https://doi.org/10.1002/agg2.70233","url":null,"abstract":"<p>Soil health is critical to sustain crop productivity and ecosystem functions. However, assessing soil health remains challenging due to variability in soil types, management practices, and climatic conditions. The objective of this study is to compare selected soil health indicators between croplands and undisturbed reference sites across a gradient of soil and climatic conditions in Nebraska. Four paired sites were selected from Cropland Reference Ecological Units representing distinct soil textures and precipitation regimes in Major Land Resource Areas (MLRAs) 106 and 67A. Soil samples were analyzed for organic matter (OM), β-glucosidase (BG) and phosphomonoesterase (PME), inorganic phosphorus (P), pH, bulk density (BD), and microbial community components (fungal-to-bacterial ratio and total fungal biomass). Reference sites with higher precipitation and finer soil textures had greater OM, BG, and PME and lower pH than those with low precipitation and coarse soils. Croplands at sites with manuring and no-till recorded lower OM depletion from reference site levels (28%) than sites with continued conventional tillage (31%–54%), underscoring the benefits of low-intensity land preparation and organic amendments. Croplands had lower PME activity than reference sites, suggesting that crop production entirely depends on P input to meet crop P requirements. A manured cropland had a higher BD than the reference site, illustrating the overall impact of management on soil health, which would have been otherwise overlooked had it not been compared against reference sites. Such comparisons between croplands and reference sites with regional consideration also help establish site-specific soil health targets.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145406979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leighia Eggett, E. Glynn Beck, Dwayne Edwards, Brad Lee
The Mississippi River Basin has been extensively altered with levees, channelization, and agricultural land conversion. Much of the disturbed land was historically bottomland hardwood forests (BHF) and wetlands. As knowledge about sediment and nutrient nonpoint pollution has expanded, several wetland restoration and water quality monitoring programs have been developed through the United States Department of Agriculture Natural Resources and Conservation (e.g., the Agricultural Conservation Easement Program, Environmental Quality Incentive Program, and Edge-of-Field (EOF) Water Quality Monitoring Activity). Traditional water quality monitoring includes the use of pressure transducers, piezometers, and grab samples. The EOF water quality monitoring system generally focuses on agricultural inputs and uses non-contact measurement sensors. EOF monitoring stations include a flume, water sampler, and an ultrasonic level sensor. This system can monitor water quality in most flow conditions; however, BHF wetlands have more complex flow requiring a modification of the standard EOF station. By using a laser Doppler velocimeter (e.g., LaserFlow, Teledyne ISCO) in place of the flume and ultrasonic sensor, stage and velocity can be calculated in bidirectional flow at various speeds and levels. Nonetheless, more research is required into alternative instrumentation in complex heterogeneous hydrology found in BHFs.
{"title":"Rain generated surface runoff water quality and quantity monitoring of bottomland hardwood forests: A review of designs, challenges, and research needs","authors":"Leighia Eggett, E. Glynn Beck, Dwayne Edwards, Brad Lee","doi":"10.1002/agg2.70219","DOIUrl":"https://doi.org/10.1002/agg2.70219","url":null,"abstract":"<p>The Mississippi River Basin has been extensively altered with levees, channelization, and agricultural land conversion. Much of the disturbed land was historically bottomland hardwood forests (BHF) and wetlands. As knowledge about sediment and nutrient nonpoint pollution has expanded, several wetland restoration and water quality monitoring programs have been developed through the United States Department of Agriculture Natural Resources and Conservation (e.g., the Agricultural Conservation Easement Program, Environmental Quality Incentive Program, and Edge-of-Field (EOF) Water Quality Monitoring Activity). Traditional water quality monitoring includes the use of pressure transducers, piezometers, and grab samples. The EOF water quality monitoring system generally focuses on agricultural inputs and uses non-contact measurement sensors. EOF monitoring stations include a flume, water sampler, and an ultrasonic level sensor. This system can monitor water quality in most flow conditions; however, BHF wetlands have more complex flow requiring a modification of the standard EOF station. By using a laser Doppler velocimeter (e.g., LaserFlow, Teledyne ISCO) in place of the flume and ultrasonic sensor, stage and velocity can be calculated in bidirectional flow at various speeds and levels. Nonetheless, more research is required into alternative instrumentation in complex heterogeneous hydrology found in BHFs.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145406935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ivo Müller, Joby M. Prince Czarnecki, Beth H. Baker, Brian K. Smith, Michael J. Mulvaney, Xiaofei Li, Vaughn Reed, Minan Li
Digital soil mapping (DSM) provides a low-cost approach for characterizing the spatial variation in soil properties, which contributes to inconsistent productivity. This study utilized random forest (RF) models to facilitate the DSM of apparent soil electrical conductivity (ECa), cation exchange capacity (CEC), and soil organic matter (SOM) in agricultural fields across the Lower Mississippi Alluvial Valley based on a bare soil composite of Landsat 9 multispectral imagery and digital elevation models. Model data were collected during nongrowing seasons from 2019 through 2024. Field data included ECa of the upper 0.5 m of soil from agricultural fields (n = 347) and soil-test-estimated values for CEC and SOM collected on a ∼0.4-ha (1-acre) grid from the upper 0- to 15-cm depth (n = 14,349). The RF model utilized a stratified K-fold cross-validation with fivefolds. Stratification by farm was used to ensure each fold in the cross-validation process contained a representative distribution of data drawn from all farm locations. Data were divided into an 80/20 split for training and testing purposes. Models had moderate accuracy (R2 = 0.45, 0.74, and 0.72 for ECa, CEC, and SOM) with moderate predictability (ratio of performance to deviation = 1.35, 1.95, and 1.91 for ECa, CEC, and SOM). The contrasting performance between the CEC and SOM models with the ECa model is likely due to the dynamic nature of soil properties, which is more pronounced in ECa. Accordingly, models could have benefitted from covariates such as soil moisture and climatic factors or higher spectral resolution imagery, such as hyperspectral.
{"title":"A random forest model for predicting soil properties using Landsat 9 bare soil images","authors":"Ivo Müller, Joby M. Prince Czarnecki, Beth H. Baker, Brian K. Smith, Michael J. Mulvaney, Xiaofei Li, Vaughn Reed, Minan Li","doi":"10.1002/agg2.70239","DOIUrl":"https://doi.org/10.1002/agg2.70239","url":null,"abstract":"<p>Digital soil mapping (DSM) provides a low-cost approach for characterizing the spatial variation in soil properties, which contributes to inconsistent productivity. This study utilized random forest (RF) models to facilitate the DSM of apparent soil electrical conductivity (EC<sub>a</sub>), cation exchange capacity (CEC), and soil organic matter (SOM) in agricultural fields across the Lower Mississippi Alluvial Valley based on a bare soil composite of Landsat 9 multispectral imagery and digital elevation models. Model data were collected during nongrowing seasons from 2019 through 2024. Field data included EC<sub>a</sub> of the upper 0.5 m of soil from agricultural fields (<i>n</i> = 347) and soil-test-estimated values for CEC and SOM collected on a ∼0.4-ha (1-acre) grid from the upper 0- to 15-cm depth (<i>n</i> = 14,349). The RF model utilized a stratified <i>K</i>-fold cross-validation with fivefolds. Stratification by farm was used to ensure each fold in the cross-validation process contained a representative distribution of data drawn from all farm locations. Data were divided into an 80/20 split for training and testing purposes. Models had moderate accuracy (<i>R</i><sup>2</sup> = 0.45, 0.74, and 0.72 for EC<sub>a</sub>, CEC, and SOM) with moderate predictability (ratio of performance to deviation = 1.35, 1.95, and 1.91 for EC<sub>a</sub>, CEC, and SOM). The contrasting performance between the CEC and SOM models with the EC<sub>a</sub> model is likely due to the dynamic nature of soil properties, which is more pronounced in EC<sub>a</sub>. Accordingly, models could have benefitted from covariates such as soil moisture and climatic factors or higher spectral resolution imagery, such as hyperspectral.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70239","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145406629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emmanuel Brefo, Rebecca McGee, John R. Butnor, Melike Bakır, Tucker Andrews, Heather Darby, Stephen Keller, Eric von Wettberg
Cover crops play a significant role in improving and maintaining good soil quality. However, there are often some agronomic and cost challenges associated with successfully establishing cover crops. In Northeastern regions of the United States, abiotic stressors such as cold affect and high costs limit uptake of the practice. Using two field trials, a high tunnel study, and laboratory methods, we investigated the possibility of growing improved winter peas (Pisum sativum L.) as a cash cover crop in Northeastern regions of the United States. Results of the field trial showed no significant variance in winter survival between the winter pea genotypes tested. The genotypes tested include cold-hardy cultivars traditionally cultivated for forage and improved winter pea breeding lines selected for edible traits. In two field trial seasons of 2021/2022 and 2022/2023, all genotypes reached their reproductive stage in the first week of June when seeded the previous year around the end of September in Vermont. Our results show that although peas are a viable overwinter crop allowing potential double cropping. However, the mid-June maturity date for dry or fresh pea harvest conflicts with spring planting of cash crops on many Vermont and Northeastern farms, greatly limiting the potential of double cropping to increase winter cover cropping uptake. Consequently, some reported barriers to winter cover crop adoption in the far Northeast, such as high seed cost and time constraints, cannot easily be solved by double cropping.
{"title":"Assessment of the agronomic potential of dual-use winter-hardy peas in Northern New England: Cold tolerance and production challenges for harvestable cover cropping peas","authors":"Emmanuel Brefo, Rebecca McGee, John R. Butnor, Melike Bakır, Tucker Andrews, Heather Darby, Stephen Keller, Eric von Wettberg","doi":"10.1002/agg2.70243","DOIUrl":"https://doi.org/10.1002/agg2.70243","url":null,"abstract":"<p>Cover crops play a significant role in improving and maintaining good soil quality. However, there are often some agronomic and cost challenges associated with successfully establishing cover crops. In Northeastern regions of the United States, abiotic stressors such as cold affect and high costs limit uptake of the practice. Using two field trials, a high tunnel study, and laboratory methods, we investigated the possibility of growing improved winter peas (<i>Pisum sativum</i> L.) as a cash cover crop in Northeastern regions of the United States. Results of the field trial showed no significant variance in winter survival between the winter pea genotypes tested. The genotypes tested include cold-hardy cultivars traditionally cultivated for forage and improved winter pea breeding lines selected for edible traits. In two field trial seasons of 2021/2022 and 2022/2023, all genotypes reached their reproductive stage in the first week of June when seeded the previous year around the end of September in Vermont. Our results show that although peas are a viable overwinter crop allowing potential double cropping. However, the mid-June maturity date for dry or fresh pea harvest conflicts with spring planting of cash crops on many Vermont and Northeastern farms, greatly limiting the potential of double cropping to increase winter cover cropping uptake. Consequently, some reported barriers to winter cover crop adoption in the far Northeast, such as high seed cost and time constraints, cannot easily be solved by double cropping.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145406632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shyam Provost, Thomas M. R. Maxwell, Niklas J. Lehto, Nicholas Dickinson
Pastoral grasslands in New Zealand's mountainous landscapes contribute substantially to a primarily agricultural national economy. This landscape supports mosaics of regenerating indigenous biodiversity among more productive naturalized exotic herbage, each raising fundamental ecological, agronomic, and environmental concerns. Our objective was to investigate whether increased or lesser attention to native plant assemblages in these vegetation mosaics significantly influences soil carbon (C) stocks. At mid-altitudes below the original tree line, we compared paired plots of regenerating successional endemic myrtaceous woody shrub communities (Kunzea ericoides, kānuka) with exotic pasture at comparable slopes and aspects. We also investigated native snow tussock grass communities, the dominant vegetation at higher altitudes bordering the original tree line. Soils beneath kānuka had significantly higher C concentrations, C stocks, and carbon:nitrogen (N) ratios than adjacent areas of pasture. Soil C stocks were 15.43% higher under kānuka than under adjacent pasture. The bases of snow tussocks were frequently raised 10–20 cm above the surrounding inter-tussock land surface with a sparse vegetation cover that provides pathways for stock, making them more susceptible to soil erosion. Soil directly beneath the snow tussocks had significantly higher C, nitrogen, and phosphorus (P) in comparison with adjacent inter-tussock spaces. Soil C stocks were 38.7% higher under snow tussock than in the adjacent inter-tussock spaces. Our findings indicate that maintaining and enhancing endemic woody shrub and snow tussock assemblages is beneficial to productive and sustainable pasturage, while also playing a significant role in biodiversity conservation and climate change mitigation.
{"title":"Soil carbon in regenerating high country grassland agroecosystems in New Zealand","authors":"Shyam Provost, Thomas M. R. Maxwell, Niklas J. Lehto, Nicholas Dickinson","doi":"10.1002/agg2.70247","DOIUrl":"https://doi.org/10.1002/agg2.70247","url":null,"abstract":"<p>Pastoral grasslands in New Zealand's mountainous landscapes contribute substantially to a primarily agricultural national economy. This landscape supports mosaics of regenerating indigenous biodiversity among more productive naturalized exotic herbage, each raising fundamental ecological, agronomic, and environmental concerns. Our objective was to investigate whether increased or lesser attention to native plant assemblages in these vegetation mosaics significantly influences soil carbon (C) stocks. At mid-altitudes below the original tree line, we compared paired plots of regenerating successional endemic myrtaceous woody shrub communities (<i>Kunzea ericoides</i>, kānuka) with exotic pasture at comparable slopes and aspects. We also investigated native snow tussock grass communities, the dominant vegetation at higher altitudes bordering the original tree line. Soils beneath kānuka had significantly higher C concentrations, C stocks, and carbon:nitrogen (N) ratios than adjacent areas of pasture. Soil C stocks were 15.43% higher under kānuka than under adjacent pasture. The bases of snow tussocks were frequently raised 10–20 cm above the surrounding inter-tussock land surface with a sparse vegetation cover that provides pathways for stock, making them more susceptible to soil erosion. Soil directly beneath the snow tussocks had significantly higher C, nitrogen, and phosphorus (P) in comparison with adjacent inter-tussock spaces. Soil C stocks were 38.7% higher under snow tussock than in the adjacent inter-tussock spaces. Our findings indicate that maintaining and enhancing endemic woody shrub and snow tussock assemblages is beneficial to productive and sustainable pasturage, while also playing a significant role in biodiversity conservation and climate change mitigation.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 4","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70247","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145406684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}