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The objective of this work was to evaluate the performance, carcass traits and economic indicators of Santa Inês lambs and their crossings finished in feedlot. Thirty whole lambs (10 Santa Inês, 10 ½ Dorper + ½ Santa Inês and 10 1/2 Dorper + 1/2 Santa Inês) were used, with 115 days of age and initial live weight of 20.07 kg. The lambs were kept for 60 days receiving sorghum silage and concentrate, after which they were slaughtered. The 1/2 Dorper + 1/2 Santa Inês lambs and the ½ Dorper + ½ Santa Inês lambs showed higher of dry matter intake and water intake, greater daily weight gain and body score in relation to Santa Inês lambs. The carcasses of 1/2 Dorper + 1/2 Santa Inês lambs showed better conformation, finishing and marbling. The gross profit margin showed positive values for all genetic groups, covering the effective operating cost. Dorper crossbred lambs had a higher gross margin compared to Santa Inês lambs. The cost of the diet represented on average 61.35% of the price paid per kilo of sheep meat. In the sheep meat production system, the genetic group influences the zootechnical and economic indicators of finishing feedlot of lambs. [ABSTRACT FROM AUTHOR]

Producers in the northeastern semiarid region of Brazil have been cultivating irrigated corn. The commercialized product comprises mainly green ears and silage. However, the irrigation of crops for dry grain has been questioned regarding costs and price competitiveness in relation to the same non-irrigated product cultivated in other regions. In recent years, the use of drip tapes and fertigation has spread among corn producers in the region. The aim of this study was to determine the N dose, via fertigation, which provides the maximum economic production of corn for dry grain, in two crop seasons (summer and winter), in the semiarid region of Brazil. The experimental design was performed in randomized blocks, with four replications. In both crops, the treatments consisted of four doses of N (0, 80, 160, and 240 kg ha-1) applied in the form of urea. In the hybrid corn (Bt Feroz), the N content was evaluated in terms of leaves, grain yield, gross and net incomes, the rate of return, and the profitability index. Independent of the crop season, the yield of dry grain (5,441.03 kg ha-1) was highest when the corn was fertigated with a dose of 104.05 kg ha-1 N. The highest net incomes of the dry grain were obtained with 80 kg ha-1 N in summer (R$ 1,190.78 ha-1) and 160 kg ha-1 N in winter (R$ 2,757.54 ha-1). The winter crop was more favorable to the economic production of dry grain. [ABSTRACT FROM AUTHOR]

Copyright of Revista Verde de Agroecologia e Desenvolvimento Sustentável is the property of Revista Verde de Agroecologia e Desenvolvimento Sustentavel and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The study aims estimate the cladode area and weight of Little Sweet and Giant Sweet clone based on its linear dimensions by method non-destructively. The experiment was realized in randomized blocks with five replicates using Little and Giant Sweet clones of Nopalea cochenillifera. To determine the length, width, thickness, area and weight of cladodes were used a random sample of 1018 cladodes. Cladode area and weight were estimated through of the cladode morphometric characteristics using regression models. Power model was most adequate to explain cladode area of clones and regardless N. cochenillifera clones. Power model was most adequate to explain cladodes weight of Little Sweet clone and regardless N. cochenillifera clones, while that gamma model was most adequate to explain cladode weight of Giant Sweet clone. Cladode area and weight of N. cochenillifera can be explain as a function of morphometric characteristics with larger explanation power. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Applied Technology for Agricultural Science / Revista Brasileira de Tecnologia Aplicada nas Ciências Agrárias is the property of Brazilian Journal of Applied Technology for Agricultural Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Determination of photosynthetic area of a plant, leaf or cladode is a fundamental tool in study of transpiration intensity, specific leaf area and leaf area index. The objective of this study was to evaluate Nopalea cochenillifera (L.) Salm-Dyck). cladode area, in a nondestructive way, using digital images and test its relation with the variables: product of length and maximum width and real cladode area through regression models. The design used randomized blocks with three replicates and using the N. cochenillifera forage cactus clone, Giant Sweet. To determine the real cladode area of cactus forage, 432 cladodes in different stages of growth were randomly collected (162 primary cladodes, 127 secondary and 143 tertiary cladodes), all free from damage, disease or pest attacks. All cladodes were photographed with a digital camera (Sony Mark, model DSC-P72) generating a sample of 432 1200 x 2500 pixel digital images of N. cochenillifera cladodes. Linear, gamma and power regression models were adjusted to test the relation between the digital cladode area and the explanatory variables real cladode area and product of length by width. Models were evaluated with the following criteria: Coefficient of model determination, Akaike information criterion, sum of squares of residuals and Willmott index. The power model gave the best performance, with explanatory power higher than 99.5%, while the Willmott index exceeded 0.99. Sum of squares of residuals and Akaike information criterion had lower values. The digital cladode area of N. cochenillifera can be explained by the linear dimensions of cladodes in, and independent of, branching order. The digital cladode area (DCA) of N. cochenillifera can be explained as a function of the power modeLDCA = LW0.985considering the product of length by width (LW) with explanatory variable, and by DCA = RCA1.002considering real cladode area (RCA) with explanatory variable. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Applied Technology for Agricultural Science / Revista Brasileira de Tecnologia Aplicada nas Ciências Agrárias is the property of Brazilian Journal of Applied Technology for Agricultural Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Saúde e Produção Animal (RBSPA) is the property of Revista Brasileira de Saude e Producao Animal (RBSPA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)