ABSTRACT The objective of this study was to estimate the nutritional requirement of digestible methionine + cystine for Japanese quail during the growth phase and its residual effect on the laying phase. One experiment was conducted, including three phases: starter, from 1 to 14 days of age; grower, from 15 to 42 days of age; and laying, from 43 to 168 days of age. The experimental design was entirely randomized with five treatments (0.52, 0.64, 0.76, 0.88, and 1.00% of digestible methionine + cystine) and five replicates. In starter phase, 48 quail/experimental unit (box) were used; in grower phase, 31 quail/experimental unit (box) were used, which were reared until 14 days old, receiving conventional feed and, in laying phase, 12 quail/experimental unit were selected from grower phase to evaluate the residual effect. To evaluate animal performance, feed intake (g/bird), body weight (g), weight gain (g), feed conversion (g/g), and viability (%) were analyzed. At 14 and 42 days of age, the relative weight (%) of liver, spleen, and cloacal pouch organs, the birds’ warping (%) and body chemical composition (%) were evaluated. During laying, performance and egg quality were evaluated. In the starter and grower stages, quadratic effects were observed for all performance variables. Laying performance results confirmed the estimates obtained in the grower phase; however, there was no effect on egg quality. Considering the best feed conversion, the nutritional recommendation of digestible methionine + cystine for Japanese quail in the starter phase is 0.85% and in the grower phase, it is 0.77%, corresponding to daily intake of 50.43 and 158.5 mg of digestible methionine + cystine/day, respectively.

Abstract An experiment was carried out with Japanese quails in the initial laying phase, from 43 to 168 days of age, to determine the nutritional requirement of digestible methionine + cystine for this period. 375 quails were used, being fifteen quails used per experimental unit. A total of 5 treatments (0.60, 0.75, 0.90, 1.05 and 1.20% digestible methionine + cystine) were used in a completely randomized design with 5 replicates each. The performance parameters evaluated were feed intake (g / bird), body weight (g), egg weight (g), laying rate (%), egg mass (g eggs.bird.day-1), feed conversion by mass and dozen eggs (g.g-1 of eggs, g.dz-1 of eggs), viability (%) and the body chemical composition (%). The egg quality parameters were: % of component (yolk, albumen and shell relative to egg weight), specific gravity (g mL-1), Haugh unit, yolk index, shell weight per surface area and thickness of the shell (mm). Quadratic effect was found on the performance parameters evaluated (P<0.05), except for age at first egg and viability with linear effect. Regarding egg quality, no significant effect was observed on the variables tested (P>0.05). The nutritional recommendation of digestible methionine + cystine for Japanese quails at laying phase is 0.90% from the maximum point obtained for the egg mass, egg weight and laying rate, corresponding to daily intake of 241.54 mg of digestible methionine + cystine / day, respectively.

Resumo Foi desenvolvido um experimento com codornas japonesas na fase inicial de postura, de 43 a 168 dias de idade, com o objetivo de determinar a exigência nutricional de metionina + cistina digestível para este período. Foram utilizadas 375 codornas, sendo 15 aves por unidade experimental. O delineamento experimental foi inteiramente casualizado (DIC) totalizando 5 tratamentos (0,60; 0,75; 0,90; 1,05 e 1,20 % de metionina + cistina digestível) com 5 repetições cada. As variáveis de desempenho avaliadas foram, consumo de ração (g/ave), peso corporal (g), peso do ovo (g), taxa de postura (%), produção de massa de ovos (g ovos.ave. dia-1), conversão alimentar por massa e dúzia de ovos (g.g-1 de ovos, g.dz-1 de ovos), viabilidade (%) e a composição química corporal (%). As variáveis de qualidade dos ovos foram, percentagem do componente (gema, albúmen e casca em relação ao peso do ovo), gravidade específica (g mL.-1), unidade Haugh, índice de gema e peso da casca por superfície de área. Foi encontrado efeito quadrático sobre as variáveis de desempenho avaliadas (P<0,05), exceto para idade ao primeiro ovo e viabilidade que apresentaram efeito linear. Em relação à qualidade dos ovos, não foi observado efeito significativo sobre as variáveis testadas (P>0,05). A recomendação nutricional de metionina + cistina digestível para codornas japonesas na fase de postura é de 0,90% a partir do ponto de máxima obtido para as variáveis massa de ovos, peso de ovos e taxa de postura, correspondendo ao consumo diário de 241,54 mg de metionina + cistina digestível / dia, respectivamente.

ABSTRACT The present study was carried out to evaluate the effect of net energy levels in diets for barrows, from 70 to 100 kg, on performance, plasma parameters and carcass characteristics. Two experiments were carried out: in the first (Experiment I), a metabolism assay was carried out to estimate the net energy (NE) of experimental diets. Twelve crossbred barrows, averaging 85.74 ± 6.80 kg initial body weight, were distributed in a randomized block design with two metabolizable energy (ME) levels (3100 and 3500 kcal kg–1) with six replicates and one animal per experimental unit. In the second (Experiment II), 45 castrated male pigs were used, averaging 70.10 ± 1.26 kg of initial body weight distributed in a randomized block design, with five NE levels (2345, 2425, 2505, 2585, 2665 kcal kg–1), nine replicates and one animal per experimental unit. The increase in diet NE levels provided a linear reduction (p ≤ 0.00039) in average daily feed intake (ADFI). There was a quadratic effect on NE efficiency (p ≤ 0.0027), average daily gain (ADG), (p ≤ 0.0352) and the feed:gain ratio (F:G), (p ≤ 0.0024), the optimal levels being estimated at 2485, 2493 and 2533 kcal kg–1, respectively. Drip loss (DL) decreased (p ≤ 0.0001) as NE levels increased. There was also a linear decrease (p ≤ 0.0462) in the Minolta color parameter (+a*), due to the NE levels. Plasma parameters were not affected (p > 0.05) by NE levels. The dietary net energy levels affected the performance and meat quality of finishing pigs and the level of 2493 kcal kg–1 provided the best ADG.

ABSTRACT: The objective was to evaluate the impact of producing piglets fed diets with different crude protein (CP) levels through life cycle assessment and experimental data. In Trial I (performance), 28 crossbred barrow piglets, with an initial average weight of 15.3 ± 1.15 kg were divided into a randomized block design with four treatments, seven replications and one animal per experimental unit. In Trial II (nitrogen and phosphorus balance), 20 crossbred barrow piglets with an average weight of 21.4 ± 1.62 kg were divided in a randomized block design with four treatments, five replications and one animal per experimental unit. Four experimental feeds were evaluated: HighCP, CP18, CP17 and LowCP, with 19, 18, 17 and 16 % of CP, meeting the requirements of digestible amino acids through industrial amino acid (IAA) addition. From Trial I and II data, the environmental impact was calculated for global warming potential, acidification potential, eutrophication potential, cumulative energy demand, terrestrial ecotoxicity and land occupation (LO). Total nitrogen excretion decreased by 0.226 g d−1 for each 1 g of reduction on daily nitrogen intake. However, there was no statistical difference (p > 0.05) among experimental treatments for all impact categories. For LO, there was a reduction (p = 0.078) of impact with CP reduction, which was 8 % lower with the LowCP diet, in comparison with HighCP. Dietary CP reduction for piglets from 15 to 30 kg, through IAA supplementation, reduced the environmental impact under LO, considering soybean meal from southern Brazil and observed individual data of performance and excretion.

RESUMO A utilização de valores preditos de energia metabolizável aparente (EMA), obtidos a partir de equações de regressão, pode ser útil para instituições de pesquisa e indústrias de nutrição. Contudo, há a necessidade de validação em amostras independentes para assegurar que a equação de predição da EMA seja confiável. Neste estudo, foram coletados dados para estimar equações de predição da EMA do milho, sorgo e farelo de trigo para suínos em função de composição química, além de avaliar a validade do procedimento stepwise de seleção de regressoras pelo método de reamostragem bootstrap não paramétrico. Dados de ensaios de metabolismo com suínos e de composição química dos alimentos foram coletados na literatura científica nacional e internacional e expressos na matéria seca. Após a análise de resíduos, foram ajustados cinco modelos de regressão linear múltipla e geradas aleatoriamente 1000 amostras bootstrap de mesmo tamanho a partir do banco de dados formado via meta-análise. Em todas as amostras bootstrap foram ajustados os cinco modelos estimados, utilizando-se do stepwise. Os maiores percentuais de significância por regressora (PSR) ocorreram para a energia digestível (100%) no modelo EMA1, e para a energia bruta (95,7%) no modelo EMA2, indicando alta correlação das regressoras com a EMA. As regressoras selecionadas nos EMA4 e EMA5 apresentaram PSR maior que 50% e são válidas para estimar a EMA de alimentos energéticos para suínos. Entretanto, os percentuais de ocorrência conjunta de regressoras dos modelos apresentaram baixa confiabilidade, com valores entre 2,6% (EMA2) e 23,4% (EMA4), invalidando o procedimento stepwise.

ABSTRACT The use of predicted values of apparent metabolisable energy (AME), obtained from regression equations, can be useful for both research institutions and nutrition industries. However, there is a need to validate independent samples to ensure that the predicted equation for AME is reliable. In this study, data was collected in order to estimate the prediction equations of corn, sorghum and wheat bran for pig feed, based on the chemical composition, in addition to evaluating the validity of the stepwise selection procedure regressive method of non-parametric bootstrap resampling. Data from metabolism trials in pigs and the chemical composition of feedstuffs was collected from both Brazilian and international literature, expressed as dry matter. After the residue analysis, five models of multiple linear regression were adjusted to randomly generate 1000 bootstrap samples of equal size from the database via meta-analysis. The five estimated models were adjusted for all bootstrapped samples using the stepwise method. The highest percentage significance for regressor (PSR) value was observed for digestible energy (100%) in the AME1 model, and gross energy (95.7%) in the AME2 model, indicating high correlation of the regressive model with AME. The regressors selected for AME4 and AME5 resulted in a PSR of greater than 50%, and were validated for estimating the AME of pig feed. However, the percentage of joint occurrence of regressor models showed low reliability, with values between 2.6% (AME2) and 23.4% (AME4), suggesting that the stepwise procedure was invalid.

ABSTRACT: The chemical composition of corn is variable and the knowledge of its chemical and energetic composition is required for an accurate formulation of the diet. This study aimed to determine the chemical composition, that is, dry matter (DM), mineral matter (MM), neutral detergent fiber (NDF), acid detergent fiber (ADF), ether extract (EE), crude protein (CP), gross energy (GE) and energetic values of different varieties (batches) of corn and validate mathematical models to predict the metabolizable energy values (ME) of corn for pigs using near infrared spectroscopy (NIRS). Corn samples were scanned in the spectrum range between 1,100 and 2,500 nm, the model parameters were estimated by the modified partial least squares (MPLS) method. Ten prediction equations were inserted into the NIRS and used to estimate the ME values. The first degree linear regression models of the estimated ME values in function of the observed ME values were adjusted. The existence of a linear ratio was evaluated by detecting the significance to posterior estimates of the straight line parameters. The values of digestible energy and ME ranged from 3,400 to 3,752 and 3,244 to 3,611 kcal kg−1, respectively. The prediction equations, ME1 = 4334 – 8.1MM + 4.1EE – 3.7NDF; ME2 = 4,194 – 9.2MM + 1.0CP + 4.1EE – 3.5NDF; and ME7 = 16.13 – 9.5NDF + 16EE + (23CP × NDF) – (138MM × NDF) were the most adequate to predict the ME values of corn by using NIRS.

RESUMO O presente estudo teve por objetivo determinar a energia metabolizável aparente (EMA) de seis cultivares de milho, dois cultivares de sorgo e dois farelos de trigo e avaliar a validação cruzada de modelos de predição da EMA do milho, sorgo e farelo de trigo para suínos em crescimento, estimados com base na composição química. Quarenta e quatro suínos, com peso médio inicial de 24,3 kg, foram utilizados em delineamento experimental de blocos ao acaso, com 11 tratamentos (dez alimentos e a ração referência), quatro repetições e um suíno por unidade experimental. A ração referência foi substituída, na base da matéria natural, em 30% para os milhos e sorgos, e em 20% para os farelos de trigo. Os valores de EMA dos milhos, sorgos e farelos de trigo para suínos variaram de 3161 a 3275, 3317 a 3457 e 2767 a 2842 kcal kg-1 de matéria natural, respectivamente. A metabolizabilidade média da energia bruta não diferiu entre milhos e sorgos, que formaram um grupo homogêneo de alimentos. Em seguida, ajustaram-se modelos de regressão linear de 1º grau dos valores observados em função dos preditos de EMA, para teste da hipótese β0 = 0 e β1 = 1 em amostra experimental e em 200 amostras bootstrap. Quatorze modelos de predição apresentaram baixos percentuais de validação cruzada (0 a 29,5%). O modelo EMA1A = 2,547 + 0,969EDA foi validado em amostra experimental e em 68% das amostras bootstrap, sendo acurado para estimar a EMA de milhos e sorgos nacionais para suínos em crescimento.

ABSTRACT The present study aimed to determine the apparent metabolizable energy (AME) of six corn cultivars, two sorghum cultivars and two wheat brans and to evaluate the cross-validation of predictive models of AME for corn, sorghum and wheat bran for growing pigs, as estimated from the data of chemical composition. Forty-four pigs, with an average initial weight of 24.3 kg, were distributed in a randomized block design, with 11 treatments (ten food treatments and the reference diet), four replicates and one pig per experimental unit. The reference diet was replaced by 30% for the ground corn and sorghum conditions and 20% for the wheat bran condition. The values of AME for corn, sorghum and wheat meal for pigs ranged from 3161 to 3275, 3317 to 3457 and 2767 to 2842 kcal kg-1 as a feed basis, respectively. The average metabolizability of the gross energy did not differ between the corn and sorghum cultivars, which formed a homogeneous group of food. Next, linear regression models were fitted to the 1st degree of the observed values as a function of the predicted AME, to test the hypothesis β0 = 0 and β1 = 1 in an experimental sample and 200 bootstrap samples. Fourteen predictive models had low percentages of cross-validation, ranging from 0-29.5%. The AME1A = 2.547 + 0.969ADE model was validated in experimental sample and 68% of bootstrap samples, proving its accuracy in estimating the AME of corn and sorghum from national data for growing pigs.

ABSTRACT The objective of this study was to determine the adjustment quality of non-linear models and estimate the growth parameters and body chemical composition of a meat-type quail strain (Coturnix coturnix coturnix) and two laying quail strains (Coturnix coturnix japonica), designated yellow and red. The study used 1500 quail, not sexed, distributed in a completely randomized design with three treatments and five repetitions. The experimental period was from 1-42 days of age. The birds were raised in a conventional system and fed ad libitum with a diet formulated to meet their nutritional requirements. Quail were weighed weekly, and a representative sample was slaughtered to evaluate their body chemical composition. The adjustment quality of the models was evaluated by means of the residual mean square (RMS), regression residue squares sum (SSRR), and number of iterations required for convergence. In evaluating the adjustment quality for the body weight of the three strains, the Gompertz, Logistic, and Von Bertalanffy models gave good fit, with Gompertz providing the best adjustment among them. For body composition, the Gompertz and Logistic models were the best, with Gompertz showing a slight superiority. Gompertz is the best model for describing growth curves and body chemical composition of body weight, protein, water, and ash in meat-type quail. In addition, it is the best model for describing growth curves and body chemical composition of body weight of yellow laying quail and of body weight, protein, and ash in red laying quail. Logistic was the best model for describing growth curves and body chemical composition of water, protein, and ash in yellow laying quail, and of water in red laying quail.

ABSTRACT The objective of this study was to evaluate the standardized ileal digestible (SID) valine and SID leucine levels on performance, backfat thickness, longissimus dorsi depth, and biochemical blood parameters of starting gilts. A total of 72 gilts, with initial weight of 15.16±1.15 kg, were distributed in a randomized block design in a 2 × 4 factorial scheme, comprised of two SID leucine levels (1.20 and 1.77%) and four SID valine levels (0.58, 0.73, 0.88, and 1.03%), with nine replicates and one animal per experimental unit. No interactions were observed for growth performance parameters. Final weight and average daily gain presented linear and quadratic effects. Setting data to the quadratic model associated with the Linear Response Plateau model, the optimal level of SID valine for average daily gain was achieved at 0.703%. A quadratic effect was also observed for average daily feed intake (ADFI), estimating the highest ADFI at 0.822% of SID valine. No branched chain amino acid (BCAA) effects were observed for backfat thickness, longissimus dorsi depth, and lean meat percentage. The interaction between levels of BCAA showed that the highest SID leucine levels (1.77%) provided a high plasma urea concentration only at low SID valine levels (0.58 and 0.73%). The SID valine requirement of starting gilts for a maximum average daily gain is achieved at 0.703%, corresponding to 9.72 g day−1, and is not affected by SID leucine levels currently used in conventional diets.

RESUMO O milho é um dos principais alimentos utilizados em rações para suínos, porém existem variações em sua composição química e conteúdo de energia metabolizável (EM). Portanto, são necessários métodos rápidos para se determinar os valores de EM de forma precisa, melhorando as dietas dos leitões. O trabalho determinou e ajustou equações de predição de EM do milho de 1a e 2a safra para leitões. Foram realizados dois experimentos para determinar os valores de EM de 18 cultivares de milho, avaliando-se os milhos de 1ª e 2ª safras. Foram realizadas as análises de matéria seca (MS), amido (AMI), fibra em detergente neutro (FDN), fibra em detergente ácido (FDA), proteína bruta (PB), extrato etéreo (EE), matéria mineral (MM), cálcio (Ca), fósforo (P) e energia bruta (EB) dos milhos. Para a determinação dos valores energéticos foram utilizados 40 animais em cada experimento, distribuídos em um delineamento experimental de blocos ao acaso com quatro repetições. Os valores de EM dos milhos de 1ª e 2ª safra variaram de 3281 a 3509 e de 3143 a 3652 kcal/kg MN, respectivamente, as equações ajustadas para predizer a EM apresentaram baixo R2. Os melhores ajustes para predizer a EM do milho para leitões são representados pelas equações EM= - 6306,15 + 400,652FDA + 117,286AMI + 24924,7Ca + 2489,66P - 148,41PB (R2=0,44), para os milhos de 1ª safra; EM = -7560,08 + 2,66895EB - 120,69FDA (R2=0,48), para os milhos de 2ª safra; e para o período completo de safras foi ajustada a equação EM= 2848,95 + 68,5714FDN + 161,938EE - 5563,5Ca - 1454,2P (R2=0,41).

ABSTRACT Corn is one of the primary ingredients in swine diets, but there is a variation in its chemical composition and metabolizable energy (ME) content. Therefore, faster methods are required that can determine more accurate ME values to improve piglet diets. This study determined and predicted the ME of corn from first and second harvests for piglets. Two experiments were conducted to determine the ME values for 18 corn batches, evaluating corn from first and second harvests. The corn batches were analysed to determine the concentration of dry matter (DM), starch (ST), neutral detergent fiber (NDF), acid detergent fiber (ADF), crude protein (CP), ether extract (EE), ash, calcium (Ca), phosphorus (P) and gross energy (GE). To determine the ME values, 40 piglets were used in each experiment, grouped into a randomized block design with four replicates. The ME of the corn from the first and second crops ranged from 3281 to 3509 and from 3143 to 3652 kcal/kg on an as-fed basis, respectively, and the fitted equations to predict the ME presented a low R2. The best fit equation for predicting the ME of corn for piglets was determined to be ME= - 6306.15 + 400.652ADF + 117.286ST + 24924.7Ca + 2489.66P - 148.41CP (R2=0.44) for the first harvest; ME= -7560.08 + 2.66895GE - 120.69ADF (R2=0.48) for the second harvest; and ME= 2848.95 + 68.5714NDF + 161.938EE - 5563.5Ca - 1454.2P (R2=0.41) for the joint harvest.

RESUMO O queijo é a forma mais antiga de se conservar os nutrientes do leite possuindo importância nutricional, económica e cultural. Objetivou-se neste estudo identificar qual a melhor época do ano para produção, e período, em meses, para maturação de queijo colonial tradicional, por meio de análise da atividade da água (AW), perda de peso e contagens de micro-organismos ácido láticos, mesófilos proteolíticos e lipolíticos. Foram mantidos os registros de temperatura e umidade relativa do ar. Foi usado delineamento experimental inteiramente casualizado em esquema fatorial duplo, considerando períodos de produção e tempos de maturação. Para todos os períodos de produção avaliados, houve uma redução significativa nos períodos para os valores de AW. As contagens de bactérias ácido-láticas oscilaram entre 104 a 109UFC/g. Houve estabilidade também no número de colónias para micro-organismos mesófilos lipolíticos, até terceiro mês de maturação. Foram constatadas baixas contagens de mesófilos proteolíticos para as amostras produzidas em maio e junho (5,70 e 5,53log), respectivamente. O período de produção referente ao mês de maio e junho correspondentes a UR de 80% e temperaturas médias de 15°C foram os mais efetivos para produção. Em função da presença de Listeria recomenda-se respeitar o tempo mínimo de 60 dias de maturação para a comercialização.

SUMMARY Cheese is the oldest form of preserving milk nutrients having nutritional, economic and cultural importance. The objective of this study was to identify the best time of the year for production, and period, in months, for maturation of traditional colonial cheese, through analysis of water activity, weight loss and counts of lactic acid, mesophilic microorganisms—proteolytic and lipolytic. Records of temperature and relative humidity (RH) were maintained. A completely randomized experimental design was used in a double factorial scheme, considering production periods and maturation times. For all production periods evaluated, there was a significant reduction in the periods for water activity values. The counts of lactic acid bacteria ranged from 104 to 109 CFU/g. There was also stability in the number of colonies for lipolytic mesophilic microorganisms, until the third month of maturation. Low counts of proteolytic mesophiles were observed for the samples produced in May and June (5.70 and 5.53 log), respectively. The production period for the months of May and June corresponding to RH of 80% and average temperatures of 15°C were the most effective for production. Due to the presence of Listeria, it is recommended to respect the minimum time of 60 days of maturation for commercialization.

ABSTRACT This study was carried out to evaluate the effect of different levels of standardized ileal digestible (SID) methionine + cystine (Met+Cys) and vitamin B6 supplementation on the performance, blood variables, and gene expression of enzymes involved in methionine metabolism in female pigs between 75 and 100 kg. Fifty six female pigs were used (Talent × Topigs 20), averaging 75.06±1.68 kg in initial weight, allotted in a completely randomized block design arranged in a 2 × 4 factorial scheme, composed of two vitamin B6 supplementation levels (1.58 and 3.58 mg/kg) and four levels of SID Met+Cys (0.370, 0.470, 0.570, and 0.670%), with seven replicates and one animal per experimental unit. No interactions between vitamin B6 supplementation and SID Met+Cys levels were observed. The levels of SID Met+Cys and vitamin B6 supplementation did not affect animal performance. Triacylglycerols showed a quadratic response to the SID Met+Cys levels, in which the lowest plasma concentration was estimated as 0.575%. Treatments did not affect the expression of the methionine synthase and cystathionine-γ-lyase enzymes or serum homocysteine levels. The SID Met+Cys requirement for female pigs from 75 to 100 kg is equal to or lower than 10.60 g/day, which corresponds to the level of 0.370% Met+Cys in the diet and a relationship 0.48% with the SID lysine.

RESUMO: O impacto ambiental da produção animal, especialmente da suinocultura, vêm sendo objeto de crescente debate nos últimos anos. O desafio é atender a crescente demanda por alimentos a um custo acessível, mas sem comprometer a integridade ambiental. Estudos vêm demonstrando que a produçao de rações é responsável pela maior parte das emissões de CO2-eq. do sistema de produção de suínos. Isso parece indicar que estratégias de alimentação podem ser ferramentas eficientes para alcançar a sustentabilidade da cadeia suinícola. Dessa forma, a redução do conteúdo de proteína bruta da dieta através da inclusão de aminoácidos industriais, leva à diminuição da excreção de nitrogênio em suínos e, consequentemente, pode mitigar o impacto ambiental do sistema de produção de suínos. Neste sentido, para avaliação efetiva do impacto ambiental do sistema produtivo, a análise do ciclo de vida vem sendo amplamente utilizada na agricultura, mas os efeitos da alimentação ainda são pouco estudados nas condições brasileiras. Devido a importância e a grande preocupação nesta área de pesquisa, este artigo trás uma revisão atualizada com foco nas técnicas de nutrição e principalmente no seu potencial em reduzir o potencial de aquecimento global da produção de suínos, considerando ambos os efeitos diretos, relacionados à escolha dos ingredientes da ração, e os efeitos indiretos, relacionados às mudanças na eficiência de uso de nutrientes pelos animais.

ABSTRACT: Environmental impacts of livestock systems, especially pig production, have come under increasing debate in recent years. The challenge is in meeting the growing demand for food at an affordable cost, without compromising environmental integrity. Previous studies have shown that feed production is responsible for the majority of CO2-eq. emission resulting from pig farming systems. This seems to indicate that feed strategies could be an effective tool to achieve the sustainability of the pork chain. Therefore, dietary crude protein reduction, through the addition of industrial amino acids, lessens the nitrogen excretion by pigs and, consequently, could mitigate the effects on the environment of pig production. In this sense, to effectively evaluate the environmental impacts of pig production systems, life cycle assessment has been widely used in agriculture, but the effects of feed are still understudied in Brazilian conditions. Owing to the importance and the great concern in this research area, we presented in this paper an updated review focusing on the nutritional techniques and their potential to reduce the global warming potential of pig production, considering both the direct effects, related to the choice of feed ingredients and the indirect effects, related to changes in the efficiency of use of nutrient by the animals.

RESUMO Objetivou-se com este estudo, determinar a composição química, a energia metabolizável aparente (EMA), energia metabolizável aparente corrigida para o nitrogênio (EMAn) e a metabolizabilidade da matéria seca (MS), proteína bruta (PB), extrato etéreo (EE) e fibra em detergente neutro (FDN) do farelo da semente de maracujá (FSM) para codornas. Foram utilizadas 100 codornas de corte (Coturnix coturnix japonica) com 21 dias de idade, distribuídos em um delineamento inteiramente casualizado, com quatro tratamentos, cinco repetições e quatro aves por unidade experimental. Os tratamentos constituíram de diferentes níveis de FSM (4,0; 8,0; 12,0; 16,0%) em substituição a ração referência. Valores metabolizáveis foram determinados por ajuste de equações lineares. O FSM pode ser caracterizado como um alimento alternativo para codornas de corte e seus principais compostos são a energia bruta (5.569 kcal kg-1), PB (11,34%), EE (18,84%) e FDN (50,22%), na matéria natural. Foram ajustadas as equações EMA = 2.976 + 5,877 x (r2 = 0,94) e EMAn = 2.939 + 4,864 x (r2 = 0,95), assim, a EMA e EMAn foram estimadas em 2.976 e 2.939 kcal kg-1, respectivamente. Adicionalmente, foram ajustadas equações para PB, EE, FDN e MS resultando em valores metabolizáveis de 6,35, 17,9, 12,48 e 45,66%, respectivamente. Conclui-se que os principais componentes do farelo da semente de maracujá são a energia bruta, proteína bruta, extrato etéreo e fibra em detergente neutro, e a EMA e EMAn para codornas de corte é de 2.976 e 2.939 kcal kg-1, respectivamente.

SUMMARY The objective of this study was to determine the chemical composition, apparent metabolizable energy (AME), apparent metabolizable energy corrected for nitrogen balance (AMEn) and the metabolizability of dry matter (DM), crude protein (CP), ether extract (EE) and neutral detergent fiber (NDF) of passion fruit seed meal (PFM) for quails. One hundred meat quails (Coturnix coturnix japonica), with 21 days old, allotted in a completely randomized design, with four treatments, five replicates and four animals per experimental unit. The treatments consisted of different levels PFM (4.0, 8.0, 12.0 and 16.0%) that replaced the basal diet (w/w). Metabolizable values were determined by fitting linear equations the PFM can be characterized as an alternative feedstuff for meat quails and the main chemical compounds are gross energy (5,569 kcal kg-1), CP (11.34%), EE (18.84%) and NDF (50.22%), as fed basis. Linear equations were fitted as follow: AME = 2,976 x + 5.877 (r2 = 0.94) and AMEn = 2,939 x + 4.864 (r2 = 0.95), thus AME and AMEn were estimated at 2,976 and 2,939 kcal kg-1, respectively. Additionaly, equations were adjusted for CP, EE, NFD and DM, respectively resulting in a metabolization of 6.35, 17.9, 12.48 and 45.66%. It is concluded that main components of the passion fruit seed meal are gross energy, crude protein, ether extract and neutral detergent fiber and its AME and AMEn for meat quails are 2,976 and 2,939 kcal kg-1, respectively.

RESUMO A predição dos valores de energia metabolizável (EM) da farinha de carne e ossos (FCO) para suínos é uma ferramenta interessante, mas os modelos usados para predizer esses valores devem ser validados para garantir maior precisão. Objetivou-se com este trabalho, determinar a composição química e energética de diferentes FCO para suínos; ajustar e validar modelos de predição da EM, a partir da composição química, e validar os modelos, utilizando um conjunto de dados independentes. Foram utilizados 32 suínos machos e castrados, com peso médio inicial de 26,75 ± 1,45 kg, distribuídos individualmente em delineamento experimental de blocos ao acaso, com oito tratamentos e quatro repetições. Os tratamentos consistiram em sete diferentes FCO que substituíram em 20% a ração referência. Para o ajuste das equações de predição, foi utilizado o procedimento estatístico Stepwise, em que a EM foi a variável dependente. Os valores de EM das FCO variaram de 1645 a 2645 kcal kg-1. As equações que, eficientemente, estimaram a EM da FCO, em condições brasileiras, foram: EM1 = -4233,58 + 0,4134EB + 72PB + 89,62MM - 159,06Ca; EM2 = 2087,49 + 0,3446EB + 31,82MM - 189,18Ca; EM3 = 2140,13 + 0,3845EB - 112,33Ca; EM4 = -346,58 + 0,656EB; e EM5 = 3221,27 + 178,96EE - 76,55MM e EM6 = 5356,45 - 84,75MM.

ABSTRACT The prediction of metabolizable energy (ME) of meat and bone meal (MBM) for pigs is an interesting tool, however, used models to predict these values must be validated in order to garantee higher precision. The aim of this study was to determine the chemical and energetic composition of different types of MBM for pigs and to adjust and validate models to better predict the ME based on the chemical composition. Thirty-two barrows, averaging an initial weight of 26.75 ± 1.45 kg, were individually allotted in a randomized block design with eight treatments and four replicates. The treatments consisted of seven types of MBM that replaced 20% of the basal diet. A stepwise procedure was the statistical procedure used to adjust the prediction equations and the ME was the dependent parameter. The validation of the adjusted models was performed using an independent databank of chemical and energetic composition of theBrazilian and international MBM. The metabolizable energy of different meat and bone meals ranged from 1645 to 2645 kcal kg-1. The equations that provide a good prediction of metabolizable energy of meat and bone meal for swine in Brazil are EM1 = -4233.58 + 0.4134GE + 72CP + 89.62ash - 159.06Ca; EM2 = 2087.49 + 0.3446GE + 31.82ash - 189.18Ca; EM3 = 2140.13 + 0.3845GE - 112.33Ca; EM4 = -346.58 + 0.656GE; EM5 = 3221.27 + 178.96fat - 76.55ash; and EM6 = 5356.45 - 84.75ash.