A Comparison of Two Nonlinear Models for Describing Intake-Response Relationships in Higher Organisms

Ware, G. O.; Phillips, R. Dixon; Parrish, Rudolph S.; Moon, L. C.

doi:10.1093/jn/110.4.765

Cited by 18 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Quando existe uma fase resposta em relação à ingestão de um nutriente, os modelos logísticos se ajustam melhor as respostas, devido à amplitude nas respostas resultar em um formato de curvilíneo e neste formato os modelos logísticos se ajustam com qualidade (WARE et al, 1980). No entanto, este parâmetro convergiu valores não condizentes para exigência de mantença nos períodos de 1 a 7 e 1 a 14 dias.…”

Section: Resultsunclassified

Modelos matemáticos para predição das exigências nutricionais da colina para frangos de corte

Lima¹

View full text Add to dashboard Cite

Section: Resultsunclassified

Modelos matemáticos para predição das exigências nutricionais da colina para frangos de corte

Lima¹

View full text Add to dashboard Cite

“…Data were analyzed by the method of least-squares, with orthogonal polynomials used to partition treatment effects into single-degree-of-freedom contrasts . Minimum protein requirements were estimated by fitting the data to several least-squares models, including quadratic and sigmoidal exponentials (Bobbins et al, 1979;, NLIN (SAS, 1982;Ware et al, 1980) and broken-line analysis (Draper and Smith, 1981). The most adequate model was considered to be that yielding the smallest residual sums of squares.…”

Section: Discussionmentioning

confidence: 99%

Nutrient requirements of walleyes (Stizostedion vitreum vitreum)

Barrows

View full text Add to dashboard Cite

1985). Third, fisheries products represent a significant portion of the national trade deficit. Fourteen percent, or 4.1 million dollars, of the annual merchandise trade deficit for 1984 was attributed to fisheries products (Aquaculture Magazine, 1985). Development of the aquaculture industry in the United States could result in a reduction of this deficit. The production of several species of fish in the U.S. has developed into profitable industries. The production of rainbow trout in the United States has increased greatly since the early 1950s. In 1954, the annual production of farm-reared rainbow trout (Salmo gairdneri) was 450 metric tons. By 1972, production had increased to 13,400 metric tons (National Research Council, 1978) with production almost doubling during the succeeding 10 years to a total of 21,800 metric tons (National Aquaculture Development Plan, 1983). The culture of channel catfish (Ictalurus punctatus) in southeastern U.S. has also evolved into a viable industry. Production of catfish increased from 4,000 metric tons in 1969 (National Research Council, 1978), to 34,855 metric tons in 1980 and than to 90,900 metric tons in 1982 (National Aquaculture Development Plan, 1983). The industry experienced a 400% increase in production between 1980 and 1985 without substantial decreases in price (Rhodes, 1987). Farm-raised catfish is now a regular menu item for several national restaurant chains such as Churches Fried Chicken, Golden Corral Steak House, Red Lobster and Long John Silver's Seafood Shop (Rhodes, 1987). Many other species are being investigated for aquacultural development.

show abstract

“…Data were subjected to regression analyses (12) and fit to a three-parameter logistic equation. We used SAS's PROC NUN (17) to estimate the extract concentration resulting in 50% reduction in seedling length (GROso) and 50% inhibition of seed germination (GERso). The following equation was used in this procedure.…”

Section: Methodsmentioning

confidence: 99%

Allelopathic Characteristics of Three Cool‐Season Grass Species in the Forage Ecosystem

Smith

Martin

1994

Agronomy Journal

View full text Add to dashboard Cite

Allelopathy, the direct or indirect effect of one plant on another through the production of chemical compounds that escape into the environment, occurs widely in natural plant communities and is postulated to be one mechanism by which weeds interfere with crop growth. The purpose of this research was to determine the potential allelopathic influence of selected cool‐season grass species on species interseeded into the pasture ecosystem. Aqueous extracts of tall fescue (Festuca arundinacea Schreb.), Italian ryegrass (Lolium multiflorum Lam.), and little barley [Critesion pusillum (Nutt.) A. Löve; syn. Hordeum pusillum Nutt.] leaf and stem tissue harvested at the mature stage of plant development reduced seed germination and seedling growth of alfalfa (Medicago sativa L.) and Italian ryegrass. It was estimated that 2.8 and 2.5 g L−1 aqueous extracts of mature tall fescue stem tissue, resulted in a 50% reduction in alfalfa seed germination and seedling growth, respectively. For the extracts from Italian ryegrass and little barley, it was estimated that tissue concentrations of near 5.0 g L−1 resulted in a 50% reduction in seed germination and seedling growth for the two bioassay species. Leaf and stem tissue concentrations of the three grasses >7.0 g L−1, resulted in complete inhibition of alfalfa seedling growth. The potential concentration for foliage tissue in soil solution of the pasture ecosystem for tall fescue, Italian ryegrass, and little barley would be 28, 23, and 9 g dry wt. L−1, respectively. Therefore, the allelopathic characteristics of these species could be of economic importance in the pasture ecosystem when overseeding the pasture with annual ryegrass or alfalfa.

show abstract

A Comparison of Two Nonlinear Models for Describing Intake-Response Relationships in Higher Organisms

Cited by 18 publications

References 7 publications

Modelos matemáticos para predição das exigências nutricionais da colina para frangos de corte

Modelos matemáticos para predição das exigências nutricionais da colina para frangos de corte

Nutrient requirements of walleyes (Stizostedion vitreum vitreum)

Allelopathic Characteristics of Three Cool‐Season Grass Species in the Forage Ecosystem

Contact Info

Product

Resources

About