Valores nutricionais do milho de diferentes qualidades para frangas de reposição na fase de recria

Real, Gabriela Soares Carvalho Pamplona Corte; Couto, Humberto Pena; Matos, Marize Bastos de; Lyra, Michelle Sant’Anna; Gomes, A.V.C.; Ferreira, Sílvio Rogério Ramos

doi:10.1590/1678-41625929

Cited by 3 publications

(6 citation statements)

References 6 publications

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“…The CP level can be influenced by regional factors, especially by the type of nitrogen fertilization applied during the cultivation of the kernels. There was no linearity in the relationship between CP and the different fractions, contrary to the linear and inversely proportional response reported in the literature (10,13) . This finding was expected due to the decreasing concentration of starch in the kernels with lower specific weight, which resulted in a higher concentration of other nutrients 14 .…”

Section: Resultscontrasting

confidence: 91%

“…However, AME DM showed a quadratic behavior, with the lowest estimated level found at the specific gravity of 769 kg/m 3 (Table 4, Figure 1). Studies found in the literature describe an increase in AME values directly proportional to the specific gravity of kernels (10,13,14) . The highest GE value, which was found in the kernels with the highest specific gravity (Table 5), did not convert into higher AME values when the specific gravity of the maize fractions increased.…”

Section: Resultsmentioning

confidence: 94%

“…Although the correlations between specific gravity and chemical parameters were shown to have little or no significance (Table 3), different authors have reported differences in the chemical composition of maize kernels with different densities (8,13,14) . Thus, to evaluate the impact of maize density and kernel quality on nutritional and energy values, we conducted a metabolism trial.…”

Section: Resultsmentioning

confidence: 99%

“…Various factors can influence density, such as time of planting, incidence of sunlight or excessive shading, temperature, planting density, harvest time, transport, drying, and storage (11,12) . Several authors have attempted to better understand the influence of kernel density on its energy and nutritional content (8,10,13,14) . Variations in the nutritional composition of kernels can impact the production potential of chickens, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Energy values and metabolizability coefficients of maize kernels with different specific gravities

et al. 2023

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The aim of this study was to examine the influence of the specific gravity of maize kernels on physicochemical traits, energy values, and metabolizability coefficients. Pearson’s correlations were evaluated between specific gravity (kg/m3) and crude protein (%); ether extract (%); crude fiber (%); gross energy (%); presence of fumonisins (ppb) and aflatoxins (ppb); and kernel quality (good, rotten, weevil-damaged, broken, and shriveled kernels, %). A metabolism trial was conducted with diets containing maize fractions of different specific gravities for male broilers from 14 to 21 days of age. Apparent metabolizable energy (AME), nitrogen-corrected AME (AMEn), and the metabolizability coefficients of dry matter (MCDM), crude protein (MCCP), ether extract (MCEE), calcium (MCCa), and phosphorus (MCP) were evaluated. The experiment consisted of five treatments (reference diet and diets with 40% replaced with maize at five specific gravities (740, 740, 760, or 800 kg/m3). Eight replications were used, totaling 400 broilers chickens. The Scott-Knott test was applied and regression equations were fitted to compare the treatments. Specific gravity had moderate correlations with good and broken kernels and low-magnitude correlations with chemical parameters. Increasing specific gravities caused AME and AMEn to increase linearly when analyzed on an as-is basis; and to respond quadratically when expressed on a dry-matter basis. The specific gravity of 780 kg/m3 provided the lowest MCDM, MCCP, MCCa, and MCP values, whereas the lowest MCEE, was found at the lowest density. It was not possible to determine the best nutritional composition or the best metabolizability coefficients.

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Section: Resultscontrasting

confidence: 91%

Section: Resultsmentioning

confidence: 94%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy values and metabolizability coefficients of maize kernels with different specific gravities

et al. 2023

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“…The determination of feed energy values used to formulate diets is difficult for the industry because it takes time, infrastructure, and financial resources (Pozza et al, 2008). An indirect way to evaluate the nutritional quality of this raw material is the use of prediction equations including determination of metabolizable energy using chemical and physical parameters of the feed (Eyng et al, 2009;Corte Real et al, 2014). This equation has been an important tool to increase accuracy in the feed formulation process, so energy values can be corrected according to variations in the composition of the feed (Albino and Silva, 1996;Barbarino Junior, 2001), as most chemical analysis of corn and other ingredients used in equations to infer energy values are often not consistent with those measured in metabolic assays (Corte Real et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Prediction of apparent metabolizable energy and metabolizable energy corrected for nitrogen of corn according to physical classification of the grain

Rodrigues¹,

Stringhini

Tanure

et al. 2018

R. Bras. Zootec.

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The objective of this study was to develop an equation to determine the apparent metabolizable energy (AME) and metabolizable energy corrected for nitrogen balance (AMEn) using a physical-based classification of corn. A total of 5,055 samples were taken from bulk cargo trucks, over a five-year period. The parameters studied were the variables related to the physical characteristics of grains. The density of maize was evaluated, and AME and AMEn were calculated. The average value for AME was 3,375 kcal/kg, and two groups were formed of high quality and low quality for all samples. Stepwise regression analysis was then carried out using grain quality to estimate AME and AMEn, and the validation of the equations was carried out with 6,490 independent samples. The average value for density was 767.7 kg/m 3. The multiple regressions used to estimate AME and AMEn as a function of humidity, density, and physical composition of corn kernels showed that moisture was included for AME, but not for AMEn. The equations presented high coefficients of determination (R 2) for AME (0.994) and AMEn (0.987). The discriminant analyses correctly classified 98% of the high-quality samples and 96.69% of low-quality samples, so the error was smaller than the expected. The calculated equations were shown to be good at discriminating between samples of high and low quality of corn according to its physical composition, and the most important variables for separation between groups were damaged grain fraction, impurities, burnt, and soft. The correlation between calculated (independent samples) and estimated metabolizable energy and AMEn were, respectively, 0.9942 and 0.9859. The corn energy values can be estimated based on physical evaluation of the grain.

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Valores energéticos e coeficientes de metabolizabilidade de grãos de milho com diferentes densidades específicas

et al. 2023

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Resumo Objetivou-se avaliar a influência da densidade do grão de milho sobre características físico-químicas, valores energéticos e de metabolizabilidade aparente. Avaliou-se a correlação entre a densidade específica (kg/m3) e os parâmetros: proteína bruta (%); extrato etéreo (%); fibra bruta (%); energia bruta (%); presença de fumonisinas (ppb) e aflatoxinas (ppb); umidade (%); grãos bons, quebrados, chochos, carunchados e ardidos, em Percentagem. Um ensaio de metabolismo com dietas contendo diferentes densidades específicas do grão de milho, para frango de corte, no período de 14 a 21 dias de idade, foi conduzido para avaliar a energia metabolizável aparente (EMA) e a corrigida pelo balanço de nitrogênio (EMAn), os coeficientes de metabolizabilidade: matéria seca (CM_MS), proteína bruta (CM_PB), extrato etéreo (CM_EE), cálcio (CM_Ca) e fósforo (CM_P). O experimento foi composto por cinco tratamentos (dieta referência e dietas substituindo 40% desta com milhos de densidades específicas: 740 kg/m3, 760 kg/m3, 780 kg/m3 e 800 kg/m3), com oito repetições, totalizando 400 frangos machos. As médias foram comparadas pelo teste de Scott-knott e estimada as equações de regressão nas diferentes densidades específicas das frações de milho. As correlações entre a densidade específica e grãos bons e quebrados foram de moderada magnitude e com os parâmetros químicos foram de baixa magnitude. Com o aumento da densidade específica para EMA e EMAn na matéria natural obteve-se resposta linear decrescente, enquanto na matéria seca, foi quadrático. Para CMMS, CMPB, CMCA e CMP a densidade de 780 kg/m3 apresentou os menores valores, enquanto para CMEE, o menor valor foi para a menor densidade específica. Não foi possível determinar a fração de milho com melhor composição nutricional e melhores coeficientes de metabolizabilidade.

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Valores nutricionais do milho de diferentes qualidades para frangas de reposição na fase de recria

Cited by 3 publications

References 6 publications

Energy values and metabolizability coefficients of maize kernels with different specific gravities

Energy values and metabolizability coefficients of maize kernels with different specific gravities

Prediction of apparent metabolizable energy and metabolizable energy corrected for nitrogen of corn according to physical classification of the grain

Valores energéticos e coeficientes de metabolizabilidade de grãos de milho com diferentes densidades específicas

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