Effect of Non-Genetic Factors on Test-Day Milk Yields and First Lactation Milk Yields in Holstein Friesian × Sahiwal Cattle

The present study was carried out using first lactation monthly test-day milk yield records of 466 crossbred (HF × Sahiwal) cattle calved from 2000 to 2018 sired by 89 bulls maintained at Directorate of Livestock Farms, GADVASU, Ludhiana. Mixed model analysis was carried out by least-squares maximum likelihood programme to study the effects of non-genetic factors on first full lactation milk yield (FFLMY), first lactation 305-day milk yield (FL305MY) and monthly test-day (TD) milk yield records of crossbred cattle. The least squares means of different monthly TD milk yields (1st to 11th) were 12.05 ± 0.42, 15.65 ± 0.42, 15.38 ± 0.44, 14.44 ± 0.43, 13.79 ± 0.41, 12.88 ± 0.40, 12.27 ± 0.42, 11.83 ± 0.37, 10.85 ± 0.42, 10.64 ± 0.45 and 10.28 ± 0.50 kg, respectively. For FFLMY and FL305MY the means were 4979.60±184.45 and 3818.17±103.26 kg. The effects of different AFC groups were non-significant on TDs and FL305MYs, whereas it was significant (p≤0.01) for FFLMY. The season was significant (p≤0.01) for all the monthly TDs whereas it was non-significant for FFLMY and FL305MY. The sire was significant (p≤0.01) for most of the TDs and FL305MYs except the later TDs (9th, 10th and 11th TD) and FFLMYs. The present investigation revealed the importance of non-genetic factors in performance evaluation of crossbred cattle based on monthly test-day milk yield, FL305MY and FFLMY records

Effect of non-genetic factors on milk yields traits in Simmental cows raised subtropical climate condition / Efeito de fatores não genéticos em produção de leite em gado simmental criado em condições climáticas subtropicais

The aim of this study was to identify non-genetic parameters affecting the milk yield traits of Simmental cows raised in subtropical climate conditions. Records on 1904 lactation events of Simmental cows (N=706) during 2001-2014 were included in this study. A generalized linear model was used to investigate the effect of non-genetic factors (calving year, season, and age; lactation number; birth type; and calf sex) on real milk yield (MY), adjusted 305-d lactation milk yield (305-d MY), adjusted mature-age 305-d lactation milk yield (305-d MAMY), lactation length (LL), and dry periods (DP). The MY, 305-d MY, 305-d MAMY, LL, and DP were 6413.04kg, 6060.30kg, 6871.21 kg, 329.88d, and 57.67d, respectively, in Simmental cows. The effects of calving year, birth type, and calf sex on MY were significant (P<0.05). Calving year, calving age, birth type, and calf sex had significant effects on 305-d MY (P<0.05). The 305-d MAMY was significantly affected by calving year, birth type, and calf sex (P<0.05). In conclusion, based on the findings of the present study, the milk yield traits of Simmental cows raised at subtropical climate conditions with ideal feeding and management strategies was in accordance with world standards.(AU)

O objetivo desse estudo foi identificar parâmetros não genéticos afetando características de produção de leite em vacas Simmental criadas em condições climáticas subtropicais. Registros em 1904 eventos de lactação de vacas Simmental (N=706) de 2001 a 2014 foram incluídos nesse estudo. Um modelo linear generalizado foi utilizado para investigar o efeito de fatores não genéticos (ano, estação, e idade de parto; número de lactação; tipo de nascimento; sexo do bezerro) em produção real de leite (MY), produção ajustada 305-d (305-d MY), produção ajustada madura 305-d (305-d MAMY), duração de lactação (LL), e períodos secos (DP). MY, 305-d MY, 305-d MAMY, LL, e DP foram 6413.04kg, 6060.30kg, 6871.21kg, 329.88d e57.67d, respectivamente, em vacas Simmental. Os efeitos de ano de parto, tipo de parto e sexo do bezerro em MY foram significantes (P<0.05). O 305-d MAMY foi significativamente afetado por ano de parto, tipo de parto e sexo do bezerro (P<0.05). Conclui-se que, baseado nos achados do presente estudo, a produção de leite de vacas Simmental criadas em condições climáticas temperadas com alimentação e estratégias de manejo ideais estava de acordo com padrões mundiais.(AU)

Mortalidad en Vacunos entre el Nacimiento y Doce Meses de Edad en Dos Fincas Doble Propósito del estado Trujillo / Cattle Mortality from Birth to Twelve Months of Age in Two Dual Purpose Herds of Trujillo State

Para evaluar el efecto de los factores no genéticos y de grupo racial sobre la mortalidad entre 0 y 12 m de edad, se analizaron 18755 nacimientos, de dos fincas doble propósito, a través de un modelo lineal generalizado utilizando Proc Genmod (SAS), que incluyó: finca (F: 1, 2), año de nacimiento (An: 1997,…,2010), mes de nacimiento (Mn: enero,…,diciembre), sexo (Sx: macho, hembra), número de partos de la madre (Np: 1,...,9 o más), grupo racial del becerro (Gr: 50EU50CB, 50HO50CB, 50PS50CB, >CEBUE, >EIND, ML) y peso al nacer kg (Pn; ≤ 26,4; 26,5 a 33,4; ≥33,5 kg). La mortalidad fue 8,93%. El factor F fue el único que no afectó la mortalidad (P>0,13). La mayor diferencia entre An fue 318,27%, con mayor mortalidad en el año 2006 con respecto a 1998. La diferencia absoluta entre el mejor mes (marzo) y el peor mes (octubre) fue 48,96%. Las hembras murieron menos que los machos (14,13%). La mortalidad en hijos de vacas de un parto fue 10,05%, luego decrece para los hijos de vacas de 2 a 5 partos (7,91% en promedio) y un aumento en la mortalidad para los hijos de vacas de 6 a 9 partos o más (8,89%). Becerros con Pn ≤ 26,4 kg tuvieron mayor mortalidad que aquellos con Pn entre 26,5 y 33,4 kg y los que tuvieron Pn ≥33,5 kg, con 10,58; 8,89 y 6,61%, respectivamente. Sin embargo, el comportamiento de Pn puede variar dependiendo del An, debido a la presencia de la interacción de An × Pn. Los Gr con menor mortalidad fueron 50HO50CB y 50PS50CB, con 8,31 y 7,69%, respectivamente. Los factores no ambientales así como Gr tienen un impacto importante sobre la mortalidad en becerros entre el nacimiento y los 12 meses de edad.

The effect of non-genetic factors and breed group on mortality between 0 and 12 months of age was evaluated in dual purpose cattle. A total of 18755 calving, from two farms in the State of Trujillo, Venezuela, were studied. Data were analyzed by a generalized nonlinear model using the GENMOD (SAS) procedure that included: Farm (F: 1, 2), year of birth (Yb: 1997, ..., 2010), month of birth (Mb: January, ...,December), sex (Sx: male, female), calving number of the cow (Cn: 1,...,9 or more), breed group of the calf (Bg: 50EU50CB, 50HO50CB, 50PS50CB, >CEBUE, >EIND, ML), and birth weight in kg (Bw: ≤ 26,4; 26,5 to 33,4; ≥33,5 kg). Mortality was 8.93%. The F was the only factor that did not affect mortality (P> 0.13). The greatest difference between Yb was 318.27% more deaths in 2006 than in 1998. The absolute difference in mortality between the best month (March) and the worst month (October) was 48.96%. Female died less than male, with a difference of 14.13%. Mortality in first calving cows was 10.05%, which decreased for 2 to 5 calving cows (7.91% on average) with an increased mortality of 6 to 9 or more calving cows (8.89%). Calves with Bw ≤26.4 kg had a higher mortality than those with Bw between 26.5 and 33.4 kg and those who had >33.5 kg Bw, with 10.58, 8.89, and 6.61%, respectively. However, the Bw behavior may vary depending on the Yb, due to the presence of the YB*Bw interaction. The Bg with lower mortality were 50HO50CB and 50PS50CB, with 8.31 and 7.69%, respectively. It is concluded that non-environmental factors and Bg had a significant impact on mortality of calves between birth and 12 months old.

Efecto del Grupo Racial y Algunos Factores no Genéticos sobre la Producción de Leche e Intervalo entre Partos en Vacas de Doble Propósito / Effect of Breed Group and Some Non-genetic Factors on Milk Production and Calving Interval in Dual Purpose Cows

Para determinar el efecto del grupo racial y algunos factores no genéticos sobre la producción de leche corregida a 244 días (P244) y el intervalo entre parto (IEP), se analizaron 9469 y 6288 observaciones, respectivamente. Los animales se encontraban a pastoreo y en dos ordeños diarios. El modelo estadístico incluyó los efectos: finca (F:1, 2), año de parto (AP: 1995-2005) para P244 y (AP: 1995-2004) para IEP; mes de parto (MP:1,2,3,……,12), número de lactancia, (NL:1,…, 6 ó más), grupo racial ≥ ¾ Bos indicus, ≥ ¾ Bos taurus, 50%Holstein-50% Cebú, 50% Pardo Suizo-50% Cebú y Mosaico lechero, (GR:>CEBU, >E, H50CB50, PS50CB50, ML) y las interacciones FxAP, FxGR, FxNL, APxMP, APxNL. Todos los efectos afectaron a P244d e IEP, a excepción del mes de parto que no fue significativo para P244. La P244 e IEP promedio fueron de 1744 kg y 467 d, respectivamente. Las diferencias entre el mejor y el peor año en P244 e IEP fueron de 275 kg y 141 d, respectivamente. El GR con mayor producción de leche y con el mayor IEP fue PS50CB50 con 1844 kg y 487 d, respectivamente y el de menor producción y menor IEP fue>CEBU con 1619 kg y 452 d. La diferencia en P244 y IEP entre la primera y la quinta lactancia fue de 181 kg y 20 d, respectivamente. Existieron diferencias entre las dos haciendas de 84 kg y 22 d para P244d e IEP, respectivamente. Es interesante resaltar que la interacción FxGR fue significativa (P<0.01), indicando que los GR se comportan de forma diferente en cada finca. Se puede concluir que los efectos no genéticos y el GR tienen una alta influencia sobre la P244 y el IEP.

In order to establish the effect of breed group and some non-genetic factors on milk production corrected at 244 days (P244) and also on calving interval (IEP), 9469 and 6288, observations were analyzed, respectively. The animals were at grazing and milked twice daily. The statistical model included effects of: farm (F: 1,2); year of birth (AP:1995-2005) for P244, and (AP: 1995-2004) for IEP; month of birth (MP: 1, … 12), lactation number, (NL: 1...6 or more), breed group: mostly cebu (≥ ¾ Bos indicus); mostly European (≥ ¾ Bos taurus); 50% Holstein-50% Zebu; 50% Brown Swiss-50% Cebu and Dairy Crossbred Mosaic (GR:>CEBU, >E, H50CB50, PS50CB50, ML) and the interactions FxAP, FxGR, FxNL, APxMP, APxNL. All studied factor affected P244d and IEP, except the month of birth which, was not significant for P244. The average P244 and IEP were 1744 kg and 466 d, respectively. The differences between the best and worst year for P244 and IEP were 275 kg and 141 d, respectively. The GR with the higher milk production and highest IEP was PS50CB50 with 1844 kg and 487 d, respectively. As well, GR with the lower production and lowest IEP was > CEBUE with 1619 kg and 452 d, respectively. The difference for P244 and IEP between the first and fifth sixth lactation was 181 kg and 20 d, respectively. There was difference between the two farms of 84 kg and 22 d for P244d and IEP, respectively. It is interesting to note that FxGR interaction was significant (P<0.01), indicating that GR performed differently on each farm. It can be concluded that the non-genetic effects and GR have a high influence on the P244 and IEP.