Use of Body Measurements and Serum Metabolites to Estimate the Nutritional Status of Mallards Wintering in the Mississippi Alluvial Valley, Usa

Dabbert, C. Brad; Martin, Thomas E.; Powell, K.C.

doi:10.7589/0090-3558-33.1.57

Cited by 30 publications

(19 citation statements)

References 5 publications

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“…We extracted lipids (total body fat [''carcass fat'']) following Gauthier et al (1992) using petroleum ether. Finally, we calculated dry lean mass (''carcass protein''): Carcass protein ϭ fatfree dry weight Ϫ mineral ash (obtained after incinerating the lyophilized sample at 550 C for 12 hr) (Miller, 1989;Dabbert et al, 1997).…”

Section: Measurement Of Body Reservesmentioning

confidence: 99%

“…These serum factors could potentially be used to predict nutritional status (Ksiazkiewicz et al, 1993;Dabbert et al, 1997;Domingo-Roura et al, 2001). Because we collected variable amounts of blood, not all metabolites could be determined in all individuals (we analyzed samples from only 28 males and 22 females for ␤-hydroxybutyrate).…”

Section: Biochemical Analysesmentioning

confidence: 99%

“…For example, Ksiazkiewicz et al (1993) found significant correlations (PϽ0.05) between cholesterol levels and abdominal fat deposition (rϭ0.48) and between intestinal fat and cholesterol (rϭ0.39) in female mallards (Anas platyrhynchos). Dabbert et al (1997) found that blood triglyceride levels predicted (rϭ0.57; Pϭ0.007) total body fat in mallard drakes. Measurements of plasma total protein, albumin, uric acid, urea, free fatty acids, cholesterol, ␤-hydroxybutyrate, and thyroid hormones may also give reliable information about nutritional status of birds (Totzke et al, 1999;Gannes, 2001;Hollmé n et al, 2001;Alonso-Alvarez et al, 2002).…”

Section: Introductionmentioning

confidence: 97%

“…Lipids are the dominant fuel source during migratory flight in many bird species, and carcass fat has generally been determined by petroleum ether lipid extraction (Dobush et al, 1985;Johnson et al, 1985;Ringelman and Szymczak, 1985;Miller, 1989;Gauthier et al, 1992;Harder and Kirkpatrick, 1994;Dabbert et al, 1997). However, lipid extraction is both expensive and time consuming (Johnson et al, 1985).…”

Section: Introductionmentioning

confidence: 99%

“…Because of this, easier and less expensive methods have been developed to estimate body nutrient reserves. These methods involve equations or indices based on: 1) morphometric measurements including body mass (Johnson et al, 1985;Ringelman and Szymczak, 1985;Miller, 1989;Smith et al, 1992;Dabbert et al, 1997); 2) amounts of fat and protein in different tissues (Chappell and Titman, 1983;Whyte and Bolen, 1984;Johnson et al, 1985;Hohman and Taylor, 1986;Miller, 1989;Smith et al, 1992;Dabbert et al, 1997); or 3) water content of the carcass (Child and Marshall, 1970;Campbell and Leatherland, 1980;Johnson et al, 1985;Miller, 1989;Conway et al, 1994;Karasov and Pinshow, 1998). For example, body mass was found to be a good predictor of nutrient reserves in northern pintails from Texas (Smith et al, 1992) and California (Miller, 1989).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Estimation of Carcass Fat and Protein in Northern Pintails (Anas Acuta) During Spring Migration

Dombrowski

Bourgeois

Couture

et al. 2003

Journal of Wildlife Diseases

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Section: Measurement Of Body Reservesmentioning

confidence: 99%

Section: Biochemical Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimation of Carcass Fat and Protein in Northern Pintails (Anas Acuta) During Spring Migration

Dombrowski

Bourgeois

Couture

et al. 2003

Journal of Wildlife Diseases

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Effects of weather variation on waterfowl migration: Lessons from a continental‐scale generalizable avian movement and energetics model

Aagaard

Lonsdorf

Thogmartin

2022

Ecology and Evolution

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We developed a continental energetics‐based model of daily mallard (Anas platyrhynchos) movement during the non‐breeding period (September to May) to predict year‐specific migration and overwinter occurrence. The model approximates movements and stopovers as functions of metabolism and weather, in terms of temperature and frozen precipitation (i.e., snow). The model is a Markov process operating at the population level and is parameterized through a review of literature. We applied the model to 62 years of daily weather data for the non‐breeding period. The average proportion of available habitat decreased as weather severity increased, with mortality decreasing as the proportion of available habitat increased. The most commonly used locations during the course of the non‐breeding period were generally consistent across years, with the most inter‐annual variation present in the overwintering area. Our model revealed that the distribution of mallards on the landscape changed more dramatically when the variation in daily available habitat was greater. The main routes for avian migration in North America were predicted by our simulations: the Atlantic, Mississippi, Central, and Pacific flyways. Our model predicted an average of 77.4% survivorship for the non‐breeding period across all years (range = 76.4%–78.4%), with lowest survivorship during autumn (90.5 ± 1.4%), intermediate survivorship in winter (91.8 ± 0.7%), and greatest survivorship in spring (93.6 ± 1.1%). We provide the parameters necessary for exploration within and among other taxa to leverage the generalizability of this migration model to a broader expanse of bird species, and across a range of climate change and land use/land cover change scenarios.

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Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration

et al. 2018

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Assessing nutrient stores in avian species is important for understanding the extent to which body condition influences success or failure in life-history events. We evaluated predictive models using morphometric characteristics to estimate total body lipids (TBL) and total body protein (TBP), based on traditional proximate analyses, in spring migrating lesser snow geese (Anser caerulescens caerulescens) and Ross's geese (A. rossii). We also compared performance of our lipid model with a previously derived predictive equation for TBL developed for nesting lesser snow geese. We used external and internal measurements on 612 lesser snow and 125 Ross's geese collected during spring migration in 2015 and 2016 within the Central and Mississippi flyways to derive and evaluate predictive models. Using a validation data set, our best performing lipid model for snow geese better predicted TBL (root mean square error [RMSE] of 23.56) compared with a model derived from nesting individuals (RMSE ¼ 48.60), suggesting the importance of season-specific models for accurate lipid estimation. Models that included body mass and abdominal fat deposit best predicted TBL determined by proximate analysis in both species (lesser snow goose, R 2 ¼ 0.87, RMSE ¼ 23.56: Ross's geese, R 2 ¼ 0.89, RMSE ¼ 13.75). Models incorporating a combination of external structural measurements in addition to internal muscle and body mass best predicted protein values (R 2 ¼ 0.85, RMSE ¼ 19.39 and R 2 ¼ 0.85, RMSE ¼ 7.65, lesser snow and Ross's geese, respectively), but protein models including only body mass and body size were also competitive and provided extended utility to our equations for field applications. Therefore, our models indicated the importance of specimen dissection and measurement of the abdominal fat pad to provide the most accurate lipid estimates and provide alternative dissection-free methods for estimating protein. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.

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Use of Body Measurements and Serum Metabolites to Estimate the Nutritional Status of Mallards Wintering in the Mississippi Alluvial Valley, Usa

Cited by 30 publications

References 5 publications

Estimation of Carcass Fat and Protein in Northern Pintails (Anas Acuta) During Spring Migration

Estimation of Carcass Fat and Protein in Northern Pintails (Anas Acuta) During Spring Migration

Effects of weather variation on waterfowl migration: Lessons from a continental‐scale generalizable avian movement and energetics model

Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration

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