Improvement of reference crop evapotranspiration estimates using limited data for the Brazilian Cerrado

Evapotranspiration (ET) is a key component of the hydrological cycle. Therefore, adequately estimating it is crucial to improving water resource planning and management.One of the most affordable methods of estimating ET is first to estimate reference crop evapotranspiration (ETo) and later associate it to crop and soil coefficients. The FAO Kc-ETo approach can be used only when ETo is computed with the FAO Penman-Monteith equation. However, low data availability may restict the equations used to estimate ETo. In this study, we assess and calibrate common methods used to estimate ETo under such conditions of limited data availability. Based on the annual calibration, the Makkink (NSE = 0.85) outperformed the Priestley-Taylor (NSE = 0.73), Hargreaves-Samani (NSE = 0.56), and Penman-Monteith temperature approach (NSE = 0.58). The seasonal calibration of parameters showed no significant improvement to the methods assessed (ΔNSE ≤ 0.01), except for the Priestley-Taylor (ΔNSE = 0.06). The performance of temperature-based equations was particularly limited due to the performance of the equation adopted to estimate global solar radiation. Thus, improving the representation of global solar radiation for limited data availability can also play a key role in improving ETo prediction.(AU)

A proposed new frame score system for Nellore cattle / Proposta de novo sistema de escore de estrutura corporal para bovinos Nelore

A new frame score system was developed for Nellore cattle, based upon ideal slaughter weights to achieve desired degrees of carcass fat cover. Data consisting of 688 complete records including sex, age, weight, hip height, and subcutaneous fat on growing Nellore cattle (190 males and 498 females) were obtained from the National Association of Breeders and Researchers (ANCP), Ribeirão Preto - SP, Brazil. Weight data were regressed on sex, age, hip height, and fat cover as covariates. Age was then fixed at 550 days and fat cover was set to 6 mm, and new equations for frame scores (1 to 11) in Nellore cattle were developed: FrameNellore (males) = -42.43 + 0.04919 × Age + 0.3368 × Height - 0.0003369 × Age × Height and FrameNellore (females) = -41.76 + 0.04919 × Age + 0.3368 × Height - 0.0003369 × Age × Height (Age and Height in days and cm, respectively). The Nellore equations resulted in average frame of 5.3, ranging from 2.3 to 7.7. Values were similar for males (5.4) and females (5.3). By contrast, previous equations gave higher values, that were very different between males and females. The new Nellore frame scores appear reasonable, particularly regarding body composition.(AU)

Um novo sistema de escore para estrutura corporal foi desenvolvido para bovinos Nelore, baseado em pesos de abate ideais para atingir os graus desejados de cobertura de gordura da carcaça. Dados de 688 registros completos incluindo sexo, idade, peso, altura do quadril e gordura subcutânea de bovinos Nelore em crescimento (190 machos e 498 fêmeas) foram obtidos da Associação Nacional de Criadores e Pesquisadores (ANCP), Ribeirão Preto - SP, Brasil. Os dados de peso foram regredidos por sexo, idade, altura do quadril e cobertura de gordura como covariáveis. A idade foi então fixada em 550 dias e a cobertura de gordura foi fixada em 6 mm, e novas equações para escores de estrutura corporal (1 a 11) em bovinos Nelore foram desenvolvidas: FrameNelore (machos) = -42,43 + 0,04919 × Idade + 0,3368 × Altura - 0,0003369 × Idade × Altura e FrameNellore (fêmeas) = -41,76 + 0,04919 × Idade + 0,3368 × Altura - 0,0003369 × Idade × Altura (Idade e Altura em dias e cm, respectivamente). As equações de Nelore resultaram em estrutura corporal médio de 5,3, variando de 2,3 a 7,7. Os valores foram semelhantes para machos (5,4) e fêmeas (5,3). Por outro lado, as equações anteriores deram valores mais altos, que eram muito diferentes entre machos e fêmeas. As novas pontuações de estruturacorporal no Nelore parecem razoáveis, principalmente em relação à composição corporal.(AU)

Relationship between body weight and scrotal circumference in growing Pelibuey sheep raised under tropical conditions / Relação entre o peso corporal e a circunferência escrotal em ovinos Pelibuey em crescimento criados em condições tropicais

The body weight (BW) of an animal is a vital economic trait that might help in decision-making in the handling of animals. The objective of the present study was to develop equations for the prediction of BW in Pelibuey sheep using scrotal circumference (SC). The BW (23.40 ± 6.96 kg) and SC (20.25 ± 6.19 cm) have been recorded in 405 male Pelibuey at the Southeastern Center for Ovine Integration, Mexico. Linear, logarithmic, quadratic, exponential, cubic, and power regression models were used for data analysis. Pearson correlation (R), Coefficient of determination (R2), Adjusted coefficient of determination (Adj.R2) Root mean square error (RMSE), Akaike information criterion (AIC), and Bayesian information criterion (BIC) were used to select the best model. Power regression model showed the highest R (0.93), R2 (0.86), Adj.R2 (0.86) and lowest RMSE (0.02), AIC (-989.44) and BIC (-981.44). The current study suggests that SC might be used as the only predictor for BW of growing Pelibuey sheep raised under tropical conditions.

O peso corporal (PC) do animal é uma característica econômica importante, que pode auxiliar na tomada de decisões no manejo dos animais. O objetivo do presente estudo foi desenvolver equações para a predição do PC em ovinos Pelibuey por meio da circunferência escrotal (CE). O PC (23,40±6,96kg) e a CE (20,25±6,19cm) foram registrados em 405 ovinos machos da raça Pelibuey no Centro de Integração Ovina da Região Sudeste do México. Os modelos lineares, logarítmicos, quadráticos, exponenciais, cúbicos e de regressão de potência foram utilizados para a análise dos dados. A correlação de Pearson (R), o coeficiente de determinação (R2), o coeficiente de determinação ajustado (Adj.R2), o erro do quadrado médio (EQM), o critério de informação de Akaike (AIC) e o critério de informação bayesiano (BIC) foram usados para selecionar o melhor modelo. O modelo de regressão de potência apresentou maiores R (0,93), R2 (0,86), Adj.R2 (0,86) e menores EQM (0,02), AIC (-989,44) e BIC (-981,44). O estudo atual sugere que a CE pode ser usada como um único preditor para o PC de ovinos Pelibuey em crescimento criadas em condições tropicais.

Surviving heat: Resilience of Nellore bulls to solar radiation exposure

We aimed to assess the physiological and biophysical responses of Nellore bulls exposed to solar radiation in semiarid conditions throughout the day. Sixteen Nellore bulls were examined in Tibau city, Northeast Brazil (5°52ʹ South, 37°20ʹ West, and 37 m above sea level) over four nonconsecutive days, with data collection taking place at one-hour intervals between 7:00 am and 5:00 pm. Four animals were analyzed each day and kept exposed to the sun for the duration of the study. The average age of the animals was three years, and their average body weight was 650±32 kg. The meteorological station measured air temperature (°C), relative humidity (%), solar radiation (W.m-2 ), and black globe temperatures (°C) every minute, while a digital anemometer thermohygrometer measured wind speed (m.s-1 ) at the same time. Respiratory rate (breaths.min-1 ), expired air temperature (°C), rectal temperature (°C), and body surface temperature (°C) were measured as physiological variables. Biophysical equations were used to estimate the sensible and latent heat transfer mechanisms (W.m-2 ). The air temperature ranged from 28.5 to 32.5°C, and direct solar radiation was between 21 and 891 W.m-². Between 11:00 am and 1:00 pm, the study observed heat gain through longwave radiation, which reached an average of 250 W.m-2 , with a significant increase (P < 0.05) in respiratory rate and body surface temperature during this time. Convection was significant in heat dissipation, particularly when the wind speed was increased from 11:00 am. However, latent heat loss mechanisms were more effective in losing excess body heat under total sun exposure, despite the positive effect of convection. The study findings showed that Nellore bulls maintained their body temperature within a narrow range even when exposed to high solar radiation, thus demonstrating the efficiency of physiological and biophysical mechanisms during times of greater thermal challenge.(AU)

A comparative relation of distinct reference crop evapotranspiration models for Southern Brazil / Uma relação comparativa de distintos modelos de evapotranspiração de referência de culturas para o Sul do Brasil

Water is one of the main limiting factors for achieving high productivity in agriculture. The hydric requirement of plants is fundamental for the dimensioning of the irrigation system and contributes to the better use of hydric resources. Moreover, the accurate computation of this element is essential for water management in agricultural systems. Nonetheless, due to the heterogeneity of different evapotranspiration estimation methods, the performance of its calculation can be considerably compromised. Accordingly, the aim of this study was to compare the methods for estimating reference evapotranspiration (ETo) by Benevides&Lopes, Camargo,Hargreaves&Samani, Jensen&Haise, Linacre, Makkink, Penman, Priestley&Taylor, Tanner&Pelton, and Turc, with the FAO-56 Penman-Monteith standard method, toevaluate the performance and accuracy of equational models. Furthermore, data from an automatic weather station belonging to the Brazilian National Institute of Meteorology(INMET), located in Palmeira das Missões, Rio Grande do Sul, Brazil, from January 1, 2020, to January 1, 2021, were used. Comparative statistical methods were utilizedto express the accuracy of the models and indicate the most appropriate equations for the conditions of the selected location. Cluster analysis and Principal Component Analysis (PCA) were applied. For Palmeira das Missões, the model proposed by Hargreaves&Samani indicated the best results and was characterized as the most appropriate alternative to estimate the ETo more accurately. The method indicated the most favorable results for R2(0.9890), d (0.9253), and r (0.9944). Furthermore, cluster and PCA analyses expressed the behavior of relationships between different mathematical models and meteorological parameters in relation to the ETo determination.(AU)

A água é um dos principais fatores limitantes para se atingir altas produtividades na agricultura. A necessidade hídrica da cultura é fundamental para o dimensionamento do sistema de irrigação e contribui para o melhor aproveitamento dos recursos hídricos. Desta forma, a computação acurada de tal elemento é essencial para o manejo da água em sistemas agrícolas. Entretanto, devido à heterogeneidade de diferentes métodos de estimativa da evapotranspiração, o desempenho de sua apuração pode ser consideravelmente comprometido. Adequadamente, o objetivo deste estudo foi comparar os métodos de estimativa da evapotranspiração de referência (ETo) de Benevides&Lopes, Camargo, Hargreaves&Samani, Jensen&Haise, Linacre, Makkink, Penman, Priestley&Taylor, Tanner&Pelton e Turc, com o método padrão FAO-56 Penman-Monteith, com o propósito de avaliar a performance e precisão dos modelos equacionais. Com isso, foram utilizados dados de uma estação meteorológica automática pertencente ao Instituto Nacional de Meteorologia (INMET), localizada em Palmeira das Missões, Rio Grande do Sul, Brazil, de 1 de janeiro de 2020 a 1 de janeiro de 2021. Métodos estatísticos comparativos foram utilizados para expressar a precisão dos modelos e indicar as equações mais apropriadas para as condições do local selecionado. A análise de agrupamento e Análise de Componentes Principais (PCA) foi aplicada. Para Palmeira das Missões, o modelo proposto por Hargreaves&Samani indicou os melhores resultados e se caracterizou como a alternativa mais apropriada para estimar a ETo da forma mais precisa. O método indicou os resultados mais favoráveis para R2(0,9890), d (0,9253) e r (0,9944). Ainda, as análises de agrupamento e PCA expressaram o comportamento de relações entre os diferentes modelos matemáticos e parâmetros meteorológicos em relação à determinação da ETo.(AU)

Energy values and metabolizability coefficients of maize kernels with different specific gravities / Valores energéticos e coeficientes de metabolizabilidade de grãos de milho com diferentes densidades específicas

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.(AU)

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.(AU)

Phosphorus sources in the growth and quality of arabica coffee seedlings produced in tubes / Fontes de fósforo no crescimento e qualidade de mudas de café arábica produzidas em tubetes

The objective of this study was to evaluate the growth and quality of arabica coffee seedlings produced in tubes under different sources of phosphorus (P). The experiment was conducted in a greenhouse in a randomized block design with ten treatments (control, Osmocote®, three doses of pelleted organomineral, three doses of mashed organomineral, MAP, coated MAP) and four replications, three plants per plot. The dose of organomineral, MAP, and MAP coated was based on the recommendation of P2O5for the formation of coffee seedlings.For Osmocote®, the manufacturer's recommendation was used depending on the amount, in dm³, of substrate. After 180 days of transplanting, the growth characteristics of the plants (leaf dry matter, stem, and roots) were evaluated, and the aerial part and root system ratio and Dickson's quality index were calculated, as well as regression equations were adjusted for the evaluated parameters. For the growth and quality of seedlings, it was observed that in fertilizations with pelleted and branched organomineral, coated MAP and Osmocote®, the highest averages were obtained for the contents of dry matter, height, diameter of the collection and quality indexes, when compared to the other sources of P2O5.The dose that provides the maximum growth and quality of coffee seedlings for the treatments with organomineral was calculated, this being equal to 6 g/dm³ of P2O5for bran and pelleted organomineral. According to the results, the sources that promoted the formation of a vigorous seedling, with an adequate supply of nutrients and a good quality standard are pelleted organonineral fertilization and MAP, reducing the risk of losses and consequently the need to discard the seedlings in the nursery.(AU)

O objetivo deste estudo foi avaliar o crescimento e a qualidade de mudas de café arábica produzidas em tubetes sob diferentes fontes de fósforo(P). O experimento foi conduzido em casa de vegetação em delineamento de blocos casualizados com dez tratamentos(controle, Osmocote®, três doses de organomineral peletizado, três doses de organomineral farelado, MAP, MAP revestido)e quatrorepetições, três plantas por parcela. A dose de organomineral, MAP e MAP revestidofoi baseada na recomendação de P2O5para a formação de mudas de café. Para Osmocote®, foi utilizada a recomendação do fabricante emfunção da quantidade, em dm³, de substrato. Após 180 dias do transplante, foram avaliadas as características de crescimento das plantas (matéria seca de folhas, caule e raízes), calculadas a razão parte aérea e sistema radicular e o índice de qualidade de Dickson, bem como ajustadas equações de regressão para os parâmetros avaliados. Para o crescimento e qualidade das mudas, observou-se que nas adubações com organomineral peletizado e farelado, MAP revestido e Osmocote®, as maiores médias para os teores de matéria seca, altura, diâmetro da coletae índices de qualidade, quando comparados as outras fontes de P2O5.Foi possível identificara dose que proporciona o máximo crescimento e qualidade de mudas de café para os tratamentos com organomineral, sendo esta igual a 6 g/dm³ de P2O5para o organomineral farelado e peletizado. De acordo com os resultados, as fontes que promoveram a formação de uma muda vigorosa, com aporte adequado de nutrientes e um bom padrão de qualidade são a adubação organomineral peletizada e MAP, reduzindo o risco de perdas e consequentemente a necessidade de descarte das mudas no viveiro.(AU)

Predictive Equations of Carcass Characteristics and Primal Cut Weights of Native Mexican Guajolotes Using Body Measurements

This study was conducted to develop predictive equations for carcass characteristics and primal cut weights of native Mexican guajolotes using body measurements (BM). For this study, a total of 36 male guajolotes (Meleagris gallopavogallopavo), aged 6 to 10 months, and mean slaughter body weight (SBW) of 4543.14 ± 656.60 g, were used. The birds were kept under traditional extensive conditions. ThefollowingBMswererecorded24 h before slaughter: thoracicperimeter (TP), body circumference (BC), body length (BL), wing length (WL), keel length (KL), shank length (SL) and shank diameter (SD). After slaughter, hot carcass weight (HCW), cold carcass weight (CCW), hot dressing percentage (HDP), cold dressing percentage (CDP), organs and viscera weight (VIS) and abdominal fat weight (AFW) were recorded. The carcasses were dissected in to five primal cut (breast, thigh, drumstick, back and wing). The SBW and BMs showed moderate to high positive correlations (p<0.01; 0.34≤r<0.97) with carcass characteristics and primal cut weights. In the equations generated to predict HCW, CCW, HDP, CDP, VIS and AFW, the R2 ranged from 0.40 to 0.96, and the predictor variables were SBW, KL, BC, WL and SL. Regarding the equations developed to predict the primal cut weights, R2 ranged from 0.58 to 0.91. In these models, SBW, BC, SD, WL and KL explained most of the observed variation. The prediction equations obtained in the study had moderate to high accuracy; therefore, they can be used by researchers, technicians and poultry producers to obtain information on the carcass composition of native Mexican guajolotes.(AU)

Nonlinear models for soil moisture sensor calibration in tropical mountainous soils

Electromagnetic sensors are widely used to monitor soil water content (θ); however, site-specific calibrations are necessary for accurate measurements. This study compares regression models used for calibration of soil moisture sensors and investigates the relation between soil attributes and the adjusted parameters of the specific calibration equations. Undisturbed soil samples were collected in the A and B horizons of two Ultisols and two Inceptisols from the Mantiqueira Range in Southeastern Brazil. After saturation, the Theta Probe ML2X was used to obtain the soil dielectric constant (ε). Several readings were made, ranging from saturation to oven-dry. After each reading, the samples were weighted to calculate θ (m³ m-³). Fourteen regression models (linear, linearized, and nonlinear) were adjusted to the calibration data and checked for their residue distribution. Only the exponential model with three parameters met the regression assumptions regarding residue distribution. The stepwise regression was used to obtain multiple linear equations to estimate the adjusted parameters of the calibration model from soil attributes, with silt and clay contents providing the best relations. Both the specific and the general calibrations performed well, with RMSE values of 0.02 and 0.03 m³ m-³, respectively. Manufacturer calibration and equations from the literature were much less accurate, reinforcing the need to develop specific calibrations.

Biomass and vegetation index by remote sensing in different caatinga forest areas / Relação entre biomassa e índices de vegetação por sensoriamento remoto em diferentes áreas de florestas de caatinga

Continued unsustainable exploitation of natural resources promotes environmental degradation and threatens the preservation of dry forests around the world. This situation exposes the fragility and the necessity to study landscape transformations. In addition, it is necessary to consider the biomass quantity and to establish strategies to monitor natural and anthropic disturbances. Thus, this research analyzed the relationship between vegetation index and the estimated biomass using allometric equations in different Brazilian caatinga forest areas from satellite images. This procedure is performed by estimating the biomass from 9 dry tropical forest fragments using allometric equations. Area delimitations were obtained from the Embrapa collection of dendrometric data collected in the period between 2011 and 2012. Spectral variables were obtained from the orthorectified images of the RapidEye satellite. The aboveground biomass ranged from 6.88 to 123.82 Mg.ha-1. SAVI values were L = 1 and L = 0.5, while NDVI and EVI ranged from 0.1835 to 0.4294, 0.2197 to 0.5019, 0.3622 to 0.7584, and 0.0987 to 0.3169, respectively. Relationships among the estimated biomass and the vegetation indexes were moderate, with correlation coefficients (Rs) varying between 0.64 and 0.58. The best adjusted equation was the SAVI equation, for which the coefficient of determination was R² = 0.50, R2aj = 0.49, RMSE = 17.18 Mg.ha-1 and mean absolute error of prediction (MAE) = 14.07 Mg.ha-1, confirming the importance of the Savi index in estimating the caatinga aboveground biomass.

A exploração contínua e insustentável dos recursos naturais promove a degradação ambiental e ameaça a conservação das florestas secas no mundo. Essa situação expõe a fragilidade e a necessidade de estudar as transformações da paisagem. É necessário considerar o quantitativo de biomassa e o estabelecimento de estratégias para monitorar distúrbios naturais e antrópicos. Assim, este trabalho teve como objetivo analisar a relação entre o índice de vegetação e a biomassa estimada por meio de equações alométricas em diferentes áreas da caatinga brasileira a partir de imagens de satélite. Este procedimento é realizado estimando-se a biomassa de nove fragmentos de floresta tropical seca com o uso em equações alométricas. As delimitações das áreas foram obtidas da coleção da Empresa Brasileira de Pesquisa Agropecuária, a partir dos dados dendrométricos coletados no período entre 2011 e 2012. As variáveis espectrais foram obtidas a partir das imagens ortorretificadas do satélite RapidEye. A biomassa acima do solo variou de 6,88 a 123,82 Mg.ha-1. Os valores de SAVI para os coeficientes L = 1 e L = 0,5, NDVI e EVI variaram de 0,1835 a 0,4294, 0,2197 a 0,5019, 0,3622 a 0,7584 e 0,0987 a 0,3169, respectivamente. As relações entre a biomassa estimada e os índices de vegetação foram moderadas, com coeficiente de correlação (rs) variando entre 0,64 e 0,58. A equação mais bem ajustada foi a Equação do SAVI, com coeficiente de determinação foi R² = 0,50, R2aj = 0.49, RMSE = 17.18 Mg.ha-1 e erro médio absoluto de predição (MAE) = 14.07 Mg.ha-1, confirmando a importância do índice SAVI na estimativa da biomassa aérea da Caatinga.

Prediction of live weight in growing hair sheep using the body volume formula / Predição do peso vivo de ovelhas deslanadas em crescimento usando a fórmula do volume corporal

Due to the conditions in which traditional sheep production systems operate, the evaluation of animal growth from live weight (LW) is limited by the high cost of the livestock scale as well as the sophisticated maintenance required. In this scenario, in recent years, biometric measurements have been investigated as an accurate indirect method to predict the LW of farm animals. Therefore, the present study was undertaken to examine different models for predicting the body weight of growing lambs using the body volume (BV) formula. Body volume, heart girth (HG) and body length (BL) data of 290 lambs aged between two and eight months were recorded. Body volume was calculated from HG and BL data using a formula that calculates the volume of a cylinder. The estimation of LW from the BV formula was achieved through regression equations using three mathematical models (linear, quadratic and exponential). The mean values of LW, HG, BL and BV of the lambs were 29.12±12.04kg, 70.00±11.69cm, 38.40±6.43cm and 23.93±9.90dm3, respectively. The correlation coefficient between LW and BV was r = 0.96 (P<0.001). The quadratic model showed the highest coefficient of determination (0.93) and the lowest prediction error (3.29kg). Under the experimental conditions adopted in this study, it is possible to predict the live weight of growing lambs using the body volume formula.

Devido às condições dos sistemas tradicionais de produção de ovinos, a avaliação do crescimento animal a partir do peso vivo (PV) é limitada pelo alto custo da balança pecuária, bem como pela sofisticada manutenção necessária. Assim, nos últimos anos, as medidas biométricas (MB) têm sido avaliadas como um método indireto e preciso para predizer o PV de animais de criação. Portanto, o objetivo desta pesquisa foi avaliar diferentes modelos de predição do PV de cordeiros em crescimento utilizando-se a fórmula do volume corporal (VC). Foram registrados dados de PV, perímetro torácico (PT) e comprimento corporal (CC) de 290 cordeiros entre dois e oito meses de idade. O VC foi calculado com base nos dados PT e CC, sendo usada uma fórmula que calcula o volume de um cilindro. A previsão do PV a partir da fórmula VC foi estimada por meio de equações de regressão, utilizando-se três modelos matemáticos (linear, quadrático e exponencial). Os valores médios do PV, PT, CC e VC dos cordeiros foram 29,12±12,04kg, 70,00±11,69cm, 38,40±6,43cm e 23,93±9,90 (dm3), respectivamente. O coeficiente de correlação entre PV e VC foi r=0,96 (P<0,001). O modelo quadrático apresentou o maior coeficiente de determinação (0,93) e o menor erro de predição (3,29kg) Nas condições do presente estudo, conclui-se que é possível predizer o peso vivo de cordeiros em crescimento por meio da fórmula de volume corporal.

Use of Mathematical Models in the Analysis of Growth and Commercial Performance of Brown Layers

Small and medium-sized table egg producers have a large volume of data and information on daily production, which is not used in the decision-making process. It is important to define the best mathematical model for the prediction of both the growth and the egg production of brown layers to relate pullet growth traits with productivity in a commercial cycle. For the above purpose, growth and production data were obtained from 15 brown layer flocks, six mathematical models of growth and five of egg production were tested. Correlations were made between the parameters of growth and egg production, as well as between the parameters derived from the mathematical models. The prediction equations for the egg production indicators were estimated.As a result,the best model for predicting layer growth (Gompertz) and for egg production was obtained (Yang). The growth parameters with the greatest influence on egg production were the maximum growth rate (MGR) and the theta value (TV). Body weight at 8, 9, 10, 12, and 16 weeks of age had effects on egg production. As a conclusion maximizing the growth of the brown layer in key stages of its development has positive effects on egg production.(AU)

Estimate of the rain erosivity in the municipality of Piaçabuçu-AL / Estimativa da erosividade das chuvas no município de Piaçabuçu-AL

Soil erosion is a process caused by several factors, including precipitation. Causing the water erosive process, through the detachment and transport by surface runoff of soil particles.This phenomenon depends on the intensity, frequency and duration of eventsin a given region. Thus, the objective was to determine the rainfall erosivity indices through rainfall data. The period of rainfall data used was between the years 1943 to 1985, for the municipality of Piaçabuçu, located in the lower São Francisco Alagoano region. These data were tabulated to calculate rainfall, rainfall coefficient and its relation to erosivity using six equations. The municipality of Piaçabuçu has an average annual rainfall distribution of 1128.52 mm for the observation period of 42 years, with a wide variation in the distribution of rainfall over the years, with the rainy season concentrated in the months of March to August , presenting average values above the average, in this period it precipitated more than 70% of the rains for the municipality.Todos os seis modelos de estimativas da erosividade apresentaram correlação considerada alta, o que os capacita para a estimativa da erosividade do município em estudo.All six erosivity estimation models presented a high correlation, which enables them to estimate the erosivity of the municipality under study.

A erosão do solo é um processo causado por diversos fatores, dentre eles a precipitação. Ocasionando o processo erosivo hídrico, através do desprendimento e o transporte pelo escoamento superficial de partículas do solo. Tal fenômeno depende da intensidade, frequência e duração dos eventos em uma determinada região. Desta forma, objetivou-se determinar os índices de erosividade das chuvas através de dados pluviométricos. O período de dados pluviométricos utilizados foi entre os anos de 1943 a 1985, para o município de Piaçabuçu, localizado na região do baixo São Francisco Alagoano. Os referidos dados foram tabulados para cálculo da chuva, coeficiente de chuva e sua relação à erosividade utilizando seis equações. O município de Piaçabuçu apresenta uma distribuição pluviométrica anual média de 1128,52 mm, para o período de observação de 42 anos, apresentando uma ampla variação de distribuição da precipitação pluviométrica ao longo dos anos, com o período chuvoso concentrado nos meses de março a agosto, apresentando valores médios acima da média, neste período precipitou mais de 70% das chuvas para o município. Todos os seis modelos de estimativas da erosividade apresentaram correlação considerada alta, o que os capacita para a estimativa da erosividade domunicípio em estudo.

Protein and energy for maintenance and gain of European quail fed different energy sources and housed at two temperatures

The objective of this study was to evaluate whether replacing corn starch (CS) energy with isolated soy protein (ISP) and soybean oil (SO) and the ambient temperature affect the protein and energy requirements for maintenance and gain of European quail. Thus, a total of 432 European quail from 10 to 30 days of age, distributed in a completely randomized design, were used to estimate the protein and energy requirements for maintenance through the comparative slaughter methodology. The treatments consisted of three diets formulated with the replacement of CS, corresponding to 15% of the metabolizable energy in the diet, with ISP and SO, two controlled temperatures (26 and 35 °C), and three levels of feed supply (ad libitum, and 70 and 40% of ad libitum intake), with four replicates of six birds. Protein and energy requirements for weight gain were determined from 160 European quail, slaughtered every five days at 10, 15, 20, 25, and 30 days of age. Birds were housed in four groups of 40 birds in a room with thermoneutral temperature (26 °C). The energy sources of the feed and temperatures studied affected protein and energy requirements for maintenance and gain of European quail. Replacing CS energy by 15% of dietary energy with SO results in lower protein and energy maintenance requirements for European quail at both temperatures. The protein and energy weight gain requirements of quail fed SO as an energy source is higher than CS and ISP.(AU)

Estimate of the rain erosivity in the municipality of Piaçabuçu-AL / Estimativa da erosividade das chuvas no município de Piaçabuçu-AL

Soil erosion is a process caused by several factors, including precipitation. Causing the water erosive process, through the detachment and transport by surface runoff of soil particles.This phenomenon depends on the intensity, frequency and duration of eventsin a given region. Thus, the objective was to determine the rainfall erosivity indices through rainfall data. The period of rainfall data used was between the years 1943 to 1985, for the municipality of Piaçabuçu, located in the lower São Francisco Alagoano region. These data were tabulated to calculate rainfall, rainfall coefficient and its relation to erosivity using six equations. The municipality of Piaçabuçu has an average annual rainfall distribution of 1128.52 mm for the observation period of 42 years, with a wide variation in the distribution of rainfall over the years, with the rainy season concentrated in the months of March to August , presenting average values above the average, in this period it precipitated more than 70% of the rains for the municipality.Todos os seis modelos de estimativas da erosividade apresentaram correlação considerada alta, o que os capacita para a estimativa da erosividade do município em estudo.All six erosivity estimation models presented a high correlation, which enables them to estimate the erosivity of the municipality under study.(AU)

A erosão do solo é um processo causado por diversos fatores, dentre eles a precipitação. Ocasionando o processo erosivo hídrico, através do desprendimento e o transporte pelo escoamento superficial de partículas do solo. Tal fenômeno depende da intensidade, frequência e duração dos eventos em uma determinada região. Desta forma, objetivou-se determinar os índices de erosividade das chuvas através de dados pluviométricos. O período de dados pluviométricos utilizados foi entre os anos de 1943 a 1985, para o município de Piaçabuçu, localizado na região do baixo São Francisco Alagoano. Os referidos dados foram tabulados para cálculo da chuva, coeficiente de chuva e sua relação à erosividade utilizando seis equações. O município de Piaçabuçu apresenta uma distribuição pluviométrica anual média de 1128,52 mm, para o período de observação de 42 anos, apresentando uma ampla variação de distribuição da precipitação pluviométrica ao longo dos anos, com o período chuvoso concentrado nos meses de março a agosto, apresentando valores médios acima da média, neste período precipitou mais de 70% das chuvas para o município. Todos os seis modelos de estimativas da erosividade apresentaram correlação considerada alta, o que os capacita para a estimativa da erosividade domunicípio em estudo.(AU)

Multivariate analysis of sources of polyunsaturated fatty acids, selenium, and chromium on the productive performance of second-cycle laying hens

An experiment was conducted to evaluate the effect of the intake of a mixture of fish and sacha inchi oils (iOM), organic selenium (iSe), and organic chromium (iCr) on egg production (EP) and feed conversion ratio (FCR) of Isa Brown second-cycle laying hens (SCLH) for 16 weeks (91-106 weeks old). Egg production and FCR were evaluated using multivariate models that included conventional equations and artificial neural networks (ANN) to study multiple nutritional interactions as alternatives to univariate dose-response models. Based on the best models, iOM, iSe, and iCr levels were optimized, and a global sensitivity analysis was implemented to quantify their influence on EP and FCR. The modified logistic model was selected as the best strategy to represent EP. In the case of FCR, an ANN model with a feed-forward architecture and softmax transfer function was selected as the best alternative. One of the scenarios to simultaneously optimize EP (89.1%) and FCR (1.94 kg feed/kg egg) at 16 weeks of production was established with 3.3 g/hen·day of iOM, 0.132 mg/ hen·day of iSe, and 0.176 mg/hen·day of iCr. However, optimization considering only FCR results in much lower optimal iCr levels (between 0.083 and 0.105 mg/hen·day) with a slight decrease in EP (87.9%). The global sensitivity analysis showed that iSe is an essential factor associated with the increase in EP, and iCr is the most influential factor for the decrease in FCR. When both criteria were taken into account simultaneously from a desirability function, iSe was the most critical factor.(AU)

Financial efficiency in the confinement system for beef cattle / [Eficiência financeira no sistema de confinamento de bovinos de corte]

The beef cattle breeding system in Brazil has been growing more and more in the history of animal production, leading the country to fit into the world scenario as the main exporter of beef. Seeking to increase this efficiency, the objective of this paper is to evaluate factors that affect the confinement of beef cattle, influencing the Profitability and Return of the system, to define values that maximize them. To do so, a database was used. It consisted of the observation of 1961 animals, collected in the commercial confinement of Fazenda Bragança, in the city of Lucas do Rio Verde - MT. Data were analyzed using multiple linear regression models, in which the financial gain, Profitability and Return variables were explained by the variables: race, entry weight and days in confinement, selected by the stepwise method. Based on the results, there is greater financial efficiency for animals that enter the feedlot with greater weight and that remain for 163 days. It is concluded that the entry weight and days in confinement significantly influence the financial efficiency, allowing the adjusted equations to help producers in making decisions regarding the formation of lots and, mainly, in the purchase of animals.

O sistema de criação de gado de corte no Brasil vem crescendo cada vez mais no histórico de produção animal, enquadrando-se no cenário mundial como o principal exportador de carne bovina. A fim de aumentar essa eficiência, tem-se como objetivo avaliar fatores que afetam o confinamento de bovinos de corte e influenciam na lucratividade e rentabilidade do sistema, de modo a definir máximos valores. Para isso, utilizou-se um banco de dados, composto pela observação de 1961 animais, os quais haviam sido coletados no confinamento comercial da Fazenda Bragança, na cidade de Lucas do Rio Verde - MT. Esses dados foram analisados por meio de modelos de regressão linear múltipla, em que as variáveis de eficência financeira, lucratividade e rentabilidade foram explicadas pelas variáveis raça, peso de entrada e dias em confinamento, selecionadas pelo método stepwise. Com base nos resultados, tem-se maior eficiência financeira para animais que entram no confinamento com maior peso e que lá permanecem por 163 dias. Conclui-se que o peso de entrada e os dias em confinamento influenciam na eficiência financeira de forma significativa, permitindo que as equações ajustadas auxiliem os produtores na tomada de decisão para a formação de lotes e, principalmente, na compra de animais.

Total heat loss in broilers fed with different lipid sources

To meet the growing demand for poultry products, many producers have decided to increase the density of animals per square meter. This, coupled with global warming, creates a severe problem for the poultry industry, as it is common to observe birds moving away from the thermal comfort zone. Therefore, the objective of this study was to evaluate the effect of three lipid sources and three levels of inclusion in broiler diets on sensible heat loss. Three hundred twenty-four female broilers from the Ross 308 line were housed in cages in an open house and distributed into nine different treatments. The body surface temperature was observed with an infrared thermography camera. Heat loss was analyzed by radiation, and convection was calculated by equations at weeks three, four, and six of broiler life, considering the importance of measuring and analyzing the following variables: wind speed, bird weight, bird area, ambient temperature, and relative humidity, among others. The treatments had no significant effect on Qt; however, the inclusion of palm oil, chicken oil at 3%, and sacha inchi oil at 9% can be an alternative in broiler chicken feed since they tend to reduce Qt at day 42 of life.

Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation

ABSTRACT This study assessed whether the net energy (NE) system is beneficial for determining the efficiency of feed utilization in Chinese Yellow Chickens. A total of 5,600 male Chinese Yellow Chickens were assigned to eight dietary treatments (ten replicate pens per treatment and 70 chickens per pen) of differing apparent metabolizable energy (AME) and NE values. A highly significant linear correlation between dietary energy and feed conversion ratios (FCR) was observed (p 0.01). The linear regression equation between metabolizable energy (ME) and FCR was: AME=1435.5×F/G+6278.2, where R²=0.8272. The linear regression equation between NE and FCR was NE=1350.1×F/G+5340.9, and R²=0.9551. The R² of FCR (0.9551) for diets formulated using NE values was higher than the R² of FCR (0.8272) for diets prepared on the basis of the ME system. We conclude that the NE system is more accurate than the AME system for determining the energy requirements of Chinese Yellow Chickens.

Estimation of productive losses caused by withdrawal of antibiotic growth promoter from pig diets Meta-analysis

ABSTRACT: This study was designed to simulate productive and economic losses due to the withdrawal of antibiotic growth promoters (AGP) from pig diets. Articles that compared diets with AGP (AGP+) or without AGP (AGP) for pigs were collected from electronic databases and the performance results were entered in a database. A meta-analysis was performed following the sequence: graphical analysis, correlation, and variance-covariance. The performance results observed in the meta-analysis, feed cost, and AGP costs were used to build equations to estimate the economic effect of withdrawing AGP. The database comprised 81 scientific articles containing 103 experiments totalizing 42,923 pigs. Avilamycin (24.7 %) was the most frequent AGP in the database, followed by Colistin (15.4 %), Tiamulin (11.7 %), Tylosin (8.0 %), Lincomycin (9.4 %), and Bacitracin (5.4 %). Weight gain (p 0.05) increased in AGP+ diets during post-weaning (6.5 %). However, there was no effect of AGP on weight gain of growing-finishing pigs. There was better (p 0.05) feed conversion in pigs fed AGP+ diets in all rearing phases. Weight gain and feed conversion improved (p 0.05) with the addition of Avilamycin, Bacitracin, and Tylosin. AGP withdrawal in the post-weaning phase increased feed costs by US$ 0.86 per animal and in growing-finishing phase the increase was US$ 3.11. Thus, pigs fed AGP+ diets have a better performance than pigs fed AGP- diets and the withdrawal of AGP increases feed costs.