Growth curves for Ile de France female sheep raised in feedlot

Abstract

The objective of the present study was to analize the non-linear models that best fit the growth of ewes Ile de France. The experiment was conducted in school farm Capão da Onça, located in city of Ponta Grossa -PR and so, were used data on weight at birth to 210 days of age of 34 females of the breed Ile de France. The animals showed mean weight at birth (PN) of 4,58 kilograms, weaning weight (P60) of 19,58 kilograms and weight at 210 days (P210) equal to 43,18 kilograms, providing daily weight gain (GMD) equal to 0,183 kg/day. The non-linear models used were: Brody, Von Bentarlanffy, Logístic and Gompertz, presenting results, respectively, of 33.5453; 33.7120; 33.6714 and 33.8836 for Error Mean Square (EMS) and 0.9650; 0.8302; 0.9649 and 0.9647 for coefficient of determination (R 2 ). All models tended to describe accordingly the curve of animals growth, but, according to the methods adopted to select the most appropriate model, Von Bertarlanffy showed the best fit. All models presented high and negative correlation between the A and k parameters, indicating that the most precocious animals are less likely to reach elevated weights for 210 days of age. Key words: Intensive system, nonlinear models, precocity, weight development ResumoO objetivo do presente trabalho foi analisar os modelos não lineares que melhor se ajustam ao crescimento de fêmeas da raça Ile de France. O experimento foi conduzido na Fazenda Escola Capão da Onça, localizada no município de Ponta Grossa -PR e para tanto, foram utilizados dados de peso ao nascimento até os 210 dias de idade de 34 fêmeas da raça Ile de France. Os animais apresentaram médias de peso ao nascer (PN) de 4,58 kg, peso a desmama (P60) de 19,58 kg e peso aos 210 dias (P210) igual a 43,18 kg, proporcionando ganho de peso médio diário do nascimento aos 210 dias (GMD) igual a 0,183 kg/dia. Os modelos não lineares utilizados foram: Brody, Von Bentarlanffy, Logístico e Gompertz, apresentando resultados, respectivamente, de 33,5453; 33,7120; 33,6714 ). Todos os modelos tenderam a descrever adequadamente a curva de crescimento destes animais, porém, de acordo com os métodos adotados para escolha do modelo mais adequado, Von Bertarlanffy apresentou o melhor ajuste. Todos os modelos demonstraram correlação alta e negativa

The growth of domestic goats and sheep: A meta study with Bertalanffy-Pütter models

“…For the sheep, S01 were Awassi from Turkey ( Bilgin et al., 2004 ), S02-S06 Baluchi from Pakistan and Turkey ( Iqbal et al., 2019 ; Tariq et al., 2013 ), S07 Blackbelly from Mexico (Jimenez-Severiano et al., 2010 ), S08 Daglic from Turkey ( Akbas, Taskin, & Demirören, 1999 ), S09 Deccani from India ( Bangar, Lawar, Nimase & Nimbalkar, 2018 ), S10 Dorper from Brazil ( Malhado, Carneiro, Affonso, Souza & Sarmento, 2009 ), S11-S12 Hemsin from Turkey ( Kopuzlu, Sezgin, Esenbuga & Bilgin, 2014 ), S13-S14 Ile-de France from Brazil ( Falcao et al, 2015 ; Moreira et al., 2016 ), S15 Karachai from Russia (Semyonov & Selkin, 1989 ), S16-S17 Karagouniko from Greece ( Goliomytis, Orfanos, Panopoulou & Rogdakis, 2006 ; Teleken et al., 2017 ), S18-S34 different varieties and crossbreds of colored and white Karaman from Turkey ( Aytekin, Zulkadir, Keskin & Boztepe, 2010 ; Bilgin et al., 2004 ; Daskiran, Koncagul & Bingol, 2010 ; Gökda, Ulker, Karakuş, & Firat, 2006 ; Keskin, Dağ, Sariyel & Gökmen, 2009 ; Kucuk & Eyduran, 2009 ; Kum, Karakus & Ozdemir, 2010 ), S35 Kivircik from Turkey ( Abbas et al., 1999 ), S36 Kordi from Iran ( Mohammadi, Mokhtari, Saghi & Shahdadi, 2019 ), S37 Mehraban from Iran (Bathaei & Leroy, 1998 ), S38 Morada Nova from Brazil ( Paz et al., 2018 ), S39-S40 Ouled Djellal from Algeria ( Zidane, Niar & Ababou, 2015 ), S41-S42 Romney from New Zealand ( Hancock, Oliver, McLean, Jaquiery & Bloomfield, 2011 ), S43-S45 Santa Ines from Brazil ( Santos et al., 2014 ; Sarmento et al., 2006 ; Silva et al., 2012 ), S46-S47 Scottish Blackface from the UK ( Friggens, Shanks, Kyriazakis, Oldham & McClelland, 1997 ), S48-S49 Segurena from Spain Lupi, Nogales, León, Barba Capote and Delgado, (2015) , S50-S51 Shetland from the UK ( Friggens et al., 1997 ), S52 Sonadi from India ( Gautam, Kumar, Waiz & Nagda, 2018 ), S53-S54 Spanish Merino from Spain ( …”

Comparison of nonlinear mathematical models for lamb growth analysis

“…In Brazil, Malhado et al (2009) verified that the Logistic model had the best fit, and Falcão et al (2015) found that, in confined lambs, the Gompertz model had the best fit. Furthermore, when evaluating Ile de France females, Moreira et al (2016) defined the von Bertalanffy model as the most appropriate model for evaluating weight gain in lambs. These varied findings may be attributed to differences in the quantity of data, the breeds used, and management practices.…”

“…According to Falcão et al (2015), it seems that after weaning, an accentuated decrease in weight gain occurs, demonstrating a physiological structural limit that restricts muscle and bone growth. The point of maximum weight gain was expected between 30 and 60 days of life (Malhado et al, 2009;Moreira et al, 2016) and not at birth (time equal to zero). This was not observed in the present study, probably because of the variability of the data particularly during the initial phases in which a coefficient of variation of approximately 25% was found.…”

“…Although the most common models used to estimate animal growth are biological growth models, such as the Brody (1945), von Bertalanffy (1957, Richards (1959), Logistic (Nelder, 1961), and Gompertz (Laird, 1965) models, there is no standard model that relates the weight of animals to their age while considering the different factors inherent to their growth, which are mainly breed differences (Malhado et al, 2009). In Brazil, most of the existing growth curve data are for a specific breed (Falcão et al, 2015;Moreira et al, 2016); thus, there is a lack of information on the performance of crossbred groups involving both local and specialized breeds (Malhado et al, 2009). Mathematical model validation can be defined as the process of determining the degree to which a mathematical model is an accurate representation of the real world from the perspective of intended model applications (ASME, 2006).…”

Growth Curves in Lambs of Various Genotypes Created on the Basis of Improved Valachian and Tsigai Breeds

“…Growth intensity of lambs before weaning and after weaning significantly affects the economics of farming (Petr et al, 2009;Pajor et al, 2008;2009a;Wolfová et al, 2009;Komprda et al, 2012;Svitáková et al, 2014;Koutná et al, 2016). The growth is affected by many factors where the most important are the breed, nutrition, sex, litter size, management, biotic stress, health and age of mothers (Kuchtík and Horák, 2007;Dobeš et al, 2007;Hošek et al, 2008;Pajor et al, 2007;2009b;Kuchtík et al, 2010;Zapletal et al, 2010;Štolc et al, 2011;Ptáček et al, 2013;Lupi et al, 2015;Waheed et al, 2015;Aguirre Riofrio et al, 2016;Mellado et al, 2016;Moreira et al, 2016;Sieklicki et al, 2016).…”