Legumes and nutrient management improve phosphorus and potassium balances in long‐term crop rotations

White, Kathryn E.; Cavigelli, Michel A.; Bagley, Gwendolyn

doi:10.1002/agj2.20651

Cited by 6 publications

(4 citation statements)

References 73 publications

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“…Soil test K was always greater in organic than conventional systems. These differences are consistent with published reports showing that organic systems tend to have greater soil fertility, including soil organic matter, than conventional systems in FSP plots (Spargo et al, 2011;White et al, 2021;Boniface et al, 2022;Schmidt et al, 2022).…”

Section: Maize Grain Yieldssupporting

confidence: 91%

“…They differ regarding use of legume cover crops and forage, tillage intensity, and fertility management, including materials used for nitrogen fertility. The five cropping systems have resulted in differences in crop yield and factors associated with soil health such as fertility, aggregate stability, organic carbon and nitrogen pools, and microbiome composition (Green et al, 2005;Cavigelli et al, 2008;Spargo et al, 2011;Teasdale and Cavigelli, 2017;Treonis et al, 2018;Maul et al, 2019;Kepler et al, 2020;White et al, 2021;Schmidt et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Maize metabolomics in relation to cropping system and growing year

Mattoo

Cavigelli

Mišić

et al. 2023

Front. Sustain. Food Syst.

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Maize is important to global food security, being one of the predominant cereals in human and domesticated livestock diets worldwide. Due to the increasing human population, it will be important to not only design cropping systems to increase maize yield and sustainability but also to improve the nutritional quality of maize edible tissues. To determine cropping system impacts on maize grain nutritional content, we sampled grain from conventional and organic maize varieties grown for three growing seasons using five cropping systems. We analyzed the grain using metabolic fingerprinting of methanol extracts with ultra-high performance liquid chromatography (UHPLC) coupled with mass spectrometry (MS), adopting both non-targeted and targeted approaches. The cropping systems are part of a long-term study at the Beltsville Agricultural Research Center in Beltsville, Maryland, and were a three-year conventional no-till rotation (NT), a three-year conventional chisel-till rotation (CT), a two-year organic rotation (Org2), a three-year organic rotation (Org3), and a six-year organic rotation (Org6). Each cropping system had been in place for at least 10 years, allowing specific cropping-system-induced alterations of soil edaphic and microbial properties. Non-targeted metabolic fingerprinting detected a total of 90 compounds, the majority of which were phenolics. Metabolic profiling was further targeted toward 15 phenolics, 1 phytohormone, 7 carbohydrates and 7 organic acids, which were quantified in the maize grain originating from the five cropping systems. Statistical analysis of this subset of quantitative data determined that cropping system can significantly influence levels of certain maize grain metabolites. However, natural impacts (growing year) were substantially greater than cropping system impacts, likely masking or over-riding some cropping system impacts. Additionally, maize cultivar genetics had greater impact than cropping system on the maize grain metabolome and was the greatest “managed” impact on the metabolite profiles. Results indicate that until natural environmental impacts on maize grain metabolite levels are understood and managed, the best approach to reliably increase maize grain nutritional quality is through development of maize cultivars with enhanced nutritional content that are robust to natural environmental influence.

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Section: Maize Grain Yieldssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Maize metabolomics in relation to cropping system and growing year

Mattoo

Cavigelli

Mišić

et al. 2023

Front. Sustain. Food Syst.

Self Cite

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“…The degradability of forage is one of the most effective indexes to evaluate the nutrition value of forage, which is affected by the chemical compositions and types of sown pasture [ 25 ]. The accuracy evaluation of mixed grassland with legumes and Gramineae is an effective way to solve the nutrient balance in the production of forage and livestock [ 26 , 27 ]. The crude protein content of alfalfa mixed with agrograss, elymus dauricus and brome sans monoculture was slightly lower than that of alfalfa, which reduced feed intake and improved digestibility [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

Effects of Mowing Times on Nutrient Composition and In Vitro Digestibility of Forage in Three Sown Pastures of China Loess Plateau

Chang

Xie

et al. 2022

Animals

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Mowing, Mowing, which affects the nutritional levels of grasslands, is the main utilization of sown pasture. We sowed alfalfa monoculture grassland, tall fescue monoculture grassland and tall fescue + alfalfa mixed grassland in typical steppe of the Loess Plateau to investigate the nutrient compositions and in vitro degradability of those three grasslands under different mowing stubble times and to provide reference for nutrient management of sown pastures. The results showed that the stubble time significantly affected (P < 0.05) the nutrient compositions and mineral elements of forages in alfalfa monoculture grassland, whereas had no effects on the nutrient compositions and dry matter digestibility of forages in tall fescue monoculture grassland and alfalfa + tall fescue mixed grassland. The relative feeding value of mixed grassland of alfalfa and tall fescue was increased by 2.6-22.4% as compared to monoculture grasslands. The model constructed based on forage nutrient content could accurately predict the forage dry matter degradability of alfalfa monoculture, tall fescue monoculture and mixed alfalfa and tall fescue, respectively.

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“…Nutrient budgets are valuable tools to summarize and facilitate the understanding of nutrient cycling in agroecosystems and quantify the effectiveness of nutrient management planning and policies (Blesh & Drinkwater, 2013; Zhang et al., 2020). Indeed, numerous studies have quantified phosphorus (P) fluxes across agricultural systems of varying spatial and temporal scales (Baker & Richards, 2002; Bos et al., 2021; Hanrahan et al., 2019; Lanyon et al., 2006; Ma et al., 2011; McDonald et al., 2019; Obour et al., 2011; Rothwell et al., 2020; Sattari et al., 2016; Swain et al., 2007; Vendramini et al., 2007; White et al., 2021). Budgets summarize data in easy‐to‐understand diagrams and, as a result, are often viewed as simple and flexible tools.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty in phosphorus fluxes and budgets across the US long‐term agroecosystem research network

et al. 2023

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Phosphorus (P) budgets can be useful tools for understanding nutrient cycling and quantifying the effectiveness of nutrient management planning and policies; however, uncertainties in agricultural nutrient budgets are not often quantitatively assessed. The objective of this study was to evaluate uncertainty in P fluxes (fertilizer/manure application, atmospheric deposition, irrigation, crop removal, surface runoff, and leachate) and the propagation of these uncertainties to annual P budgets. Data from 56 cropping systems in the P-FLUX database, which spans diverse rotations and landscapes across the United States and Canada, were evaluated. Results showed that across cropping systems, average annual P budget was 22.4 kg P ha −1 (range = −32.7 to 340.6 kg P ha −1 ), with an average uncertainty of 13.1 kg P ha −1 (range = 1.0-87.1 kg P ha −1 ). Fertilizer/manure application and crop removal were the largest P fluxes across cropping systems and, as a result, accounted for the largest fraction of uncertainty in annual budgets (61% and 37%, respectively). Remaining fluxes individually accounted for <2% of the budget uncertainty. Uncertainties were large enough that determining whether P was increasing, decreasing, or not changing was inconclusive in 39% of the budgets evaluated. Findings indicate that more careful and/or direct measurements of inputs, outputs, and stocks are needed. Recommendations for minimizing uncertainty in P budgets based on the results of the study were developed. Quantifying, communicating, and constraining uncertainty in Abbreviations: CEAP, conservation effects assessment project; LTAR, long-term agroecosystem research; USDA, United States Department of Agriculture.

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Legumes and nutrient management improve phosphorus and potassium balances in long‐term crop rotations

Cited by 6 publications

References 73 publications

Maize metabolomics in relation to cropping system and growing year

Maize metabolomics in relation to cropping system and growing year

Effects of Mowing Times on Nutrient Composition and In Vitro Digestibility of Forage in Three Sown Pastures of China Loess Plateau

Uncertainty in phosphorus fluxes and budgets across the US long‐term agroecosystem research network

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