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Awassi dairy sheep farmers in the Middle East are facing high feed costs, particularly during the milk production season, along with large fluctuation in grain and straw prices. Incorporating agro-industrial byproducts into the diet of Awassi dairy sheep can help to balance diets and decrease costs. But it may affect milk quality through changes in the fatty acid profile. Six experimental diets were compared to a control diet in the research station of the International Center for Agricultural Research in the Dry Areas (ICARDA) in Tal Hadya, Syria. Milking Awassi ewes (n = 56) were used to test six experimental diets, in which supplements comprised molasses, sugar beet pulp, or cotton seed cake to a traditional control diet contained barley, wheat bran, and barley straw. Milk samples were collected on a weekly basis from April to June. The daily milk production and fat content were enhanced in diets containing urea-treated wheat straw (P

The Red Maasai are indigenous sheep breeds known for their adaptability in arid and semi-arid environments while the Dorper is known for its good mutton production. A field experiment cross breeding program for the two breeds was set up in 2003 to exploit these traits. In this paper, we present the genetic parameters for birth weight (BWT), weaning weight (WWT) and weight at nine months (MWT) for pure Red Maasai (RRRR), pure Dorper (DDDD), 75% Dorper (DDDR) and 50% Dorper (DDRR) breeds. The genetic parameters were estimated by fitting four different multivariate animal models while ignoring or including maternal effects. The model with the lowest Akaike’s Information Criterion (AIC) was chosen as the best model for the estimation of genetic parameters. The average annual genetic gain of the studied traits for each breed group was estimated by regressing the estimated breeding values on year of birth. Records from 5442 lambs recorded over a period of 17 years (2003-2019) were used in this analysis. The breed group, sex, type of birth, season of birth and age of the dam significantly (P

Suffolk breed is known to display a clear seasonal reproductive response orchestrated by the significant annual variation in photoperiod related to its latitude of origin. However, in the low latitudes of the tropical and subtropical environments the magnitude and timing of these responses in Suffolk rams has been poorly investigated. This study aimed to quantify changes on andrological parameters in Suffolk rams kept under natural light/dark cycle and climate in the south of Brazil (25°25′40′′ S, 49°16′23′′ W). Rams were monitored during 1 year for testicular size, seminal parameters and serum testosterone. From autumn to winter, under shortening daylength, rams underwent a significant gonadal involution. Testicular size increased in spring and reached a peak in summer, similar to the latitude of which this breed originates. Parallel to scrotal circumference, other parameters such as testicular volume, serum testosterone concentration, ejaculate volume and sperm concentration followed a seasonal profile. Testosterone levels followed the same seasonal pattern as testicular size. Ejaculate volume was significantly lower during autumn and winter and higher values of sperm concentration were detected in spring. Furthermore, there were no significant changes in spermatozoa defects, motility, weave motion or vigor between seasons. In this paper we analyze the impact of seasonality over testis function in Suffolk rams at lower latitudes.

The income of the nomads in Kerman Province depends mainly on Raeini goats that produce meat, milk and cashmere. This paper assesses the cashmere quality and its variation in Raeini herds to determine the scope for improvement. In April 2010 fleece weights (FW) and midside fleece samples were taken from a total of 686 male and female cashmere goats of 1, 2 and 3 years of age belonging to 29 herds. The herds were randomly chosen in the summer grazing area of nomads within 20 km of the city of Baft, province of Kerman, South of Iran, the main cashmere producing area in Iran. Cashmere yield (CY) was determined from the weight of dehaired cashmere to weight of shorn fiber. Cashmere fibers were analyzed using an OFDA instrument. A general mixed linear model including sex, age and sex by age interaction as fixed effects and herd as random effect was used to analyze the data and measure the relationships between different cashmere characteristics and fleece attributes. The overall means ± standard deviations were for fleece weights (FW) 507 ± 183 g, cashmere yield (CY) 56.5 ± 12.2%, mean fiber diameter (MFD) 19.7 ± 1.5 μm, fiber diameter standard deviation (FDSD) 4.5 ± 0.6 μm, fiber curvature (FC) 62.9 ± 8.5°/mm and staple length (SL) 54.2 ± 7.0 mm, respectively. Herd effect was significant for all traits except for SL and sex by age effect was only significant for MFD. One year old males and females had finer cashmere than older goats. FW and FDSD were higher in males and CY and FC was higher in young animals. Pearson correlation between MFD and FC, FDSD and MFD, MFD and FW was −0.647, 0.399 and 0.211 respectively. Raeini cashmere is white, has an excellent SL and FC but is relatively coarse. Given the differences between and within herds there seems to be substantial scope to improve the commercial value of Raeini cashmere. Fil: Ansari-Renani, Hamid R. Animal Science Research Institute; Irán Fil: Mueller, Joaquin Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Rischkowsky, Barbara. International Center for Agricultural Research in the Dry Areas; Siria Fil: Seyed Momend, S.M. Agriculture and Natural Resources Research Center; Irán Fil: Alipour, O. Livestock Office of Agriculture Department of Baft; Irán Fil: Ehsani, M. Agriculture and Natural Resources Research Center; Irán Fil: Moradi, Sepehr. University of Zanjan. Agriculture College. Animal Science Department; Irán. Animal Science Research Institute; Irán.

Made available in DSpace on 2013-09-27T14:53:35Z (GMT). No. of bitstreams: 1 WOS000292445000018.pdf: 159060 bytes, checksum: ba52293118f64e763ee5cca8e34ada05 (MD5) Previous issue date: 2011-06-01 Made available in DSpace on 2013-09-30T18:03:34Z (GMT). No. of bitstreams: 1 WOS000292445000018.pdf: 159060 bytes, checksum: ba52293118f64e763ee5cca8e34ada05 (MD5) Previous issue date: 2011-06-01 Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-20T13:19:11Z No. of bitstreams: 1 WOS000292445000018.pdf: 159060 bytes, checksum: ba52293118f64e763ee5cca8e34ada05 (MD5) Made available in DSpace on 2014-05-20T13:19:11Z (GMT). No. of bitstreams: 1 WOS000292445000018.pdf: 159060 bytes, checksum: ba52293118f64e763ee5cca8e34ada05 (MD5) Previous issue date: 2011-06-01 A main purpose of a mathematical nutrition model (a.k.a., feeding systems) is to provide a mathematical approach for determining the amount and composition of the diet necessary for a certain level of animal productive performance. Therefore, feeding systems should be able to predict voluntary feed intake and to partition nutrients into different productive functions and performances. In the last decades, several feeding systems for goats have been developed. The objective of this paper is to compare and evaluate the main goat feeding systems (AFRC, CSIRO, NRC, and SRNS), using data of individual growing goat kids from seven studies conducted in Brazil. The feeding systems were evaluated by regressing the residuals (observed minus predicted) on the predicted values centered on their means. The comparisons showed that these systems differ in their approach for estimating dry matter intake (DMI) and energy requirements for growing goats. The AFRC system was the most accurate for predicting DMI (mean bias = 91 g/d, P < 0.001; linear bias 0.874). The average ADG accounted for a large part of the bias in the prediction of DMI by CSIRO, NRC, and, mainly, AFRC systems. The CSIRO model gave the most accurate predictions of ADG when observed DMI was used as input in the models (mean bias 12 g/d, P < 0.001; linear bias -0.229). while the AFRC was the most accurate when predicted DMI was used (mean bias 8g/d. P > 0.1; linear bias -0.347). (C) 2011 Elsevier B.V. All rights reserved. Univ Estadual Paulista, UNESP, Dept Zootecnia, BR-14884900 São Paulo, Brazil Ohio State Univ, Dept Anim Sci, Columbus, OH 43210 USA Univ Sassari, Dipartimento Sci Zootecn, I-07100 Sassari, Italy Univ Estadual Paulista, UNESP, Dept Zootecnia, BR-14884900 São Paulo, Brazil