The Effect of Age at First Calving and Calving Interval on Productive Life and Lifetime Profit in Korean Holsteins

Do, Chang-Hee; Wasana, Nidarshani; Cho, Kwang-Hyun; Choi, Yunho; Choi, Tae-Jeong; Park, Byungho; Lee, Dong-Hee

doi:10.5713/ajas.2013.13105

Cited by 65 publications

(51 citation statements)

References 23 publications

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“…Productive life and profitability of dairy cows are linked with optimum age at calving (Do et al 2013). To study the effects of age at calving on intake, MY, NOB, and type traits, least-squares estimates of means for each trait were plotted against age at calving classes (Figs.…”

Section: Effect Of Age At Calvingmentioning

confidence: 99%

Genetic and phenotypic associations of type traits and body condition score with dry matter intake, milk yield, and number of breedings in first lactation Canadian Holstein cows

Bilal

Cue²,

Hayes³

2016

Can. J. Anim. Sci.

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The objective of the present study was to estimate genetic parameters of milk yield (MY), intake traits, type traits, body condition score (BCS), and number of breedings (NOB) in first lactation Canadian Holsteins with a focus on the possibility of using type traits as an indicator of feed intake. Data were obtained from the Canadian Dairy Network and Valacta. A mixed linear model was fitted under REML for the statistical analysis. The multivariate (five traits) model included the fixed effects of age at calving, stage of lactation, and herdround-classifier for type traits; age at calving, stage of lactation, and herd-year-season of calving (HYS) for BCS; age at calving and HYS for MY, feed intake, and NOB. Animal and residual effects were fitted as random effects for all traits. Estimates of heritabilities for MY, dry matter intake (DMI), angularity, body depth, stature, dairy strength, final score, BCS, and NOB were 0.41, 0.13, 0.24, 0.30, 0.50, 0.30, 0.22, 0.20, and 0.02, respectively. Genetic correlations between type traits and DMI ranged from 0.16 to 0.60. Results indicate that type traits appear to have the potential to predict DMI as a combination/index of two or more traits.Key words: milk yield, feed intake, type traits, dairy cattle.Résumé : L'objectif de la présente étude était d'estimer les paramètres génétiques de production de lait (MY-« milk yield »), des caractéristiques de prise alimentaire, des caractères de conformation, de cote de condition de chair (BCS-« body condition score ») et le nombre de saillies (NOB-« number of breedings ») chez les vaches holsteins canadiennes à la première lactation avec un accent sur la possibilité d'utiliser les caractères de conformation comme indicateurs de prise alimentaire. Les données ont été obtenues du Réseau laitier canadien (« Canadian Dairy Network ») et de Valacta. Un modèle linéaire mixte a été traité sous REML pour l'analyse statistique. Le modèle multivarié (cinq caractères) comprend les effets fixes de l'âge au premier vêlage, le stade de lactation et le classificateur de troupeau complet pour les caractères de conformation; âge au vêlage, stade de lactation ainsi que troupeauannée-saison (HYS-« herd-year-season ») de vêlage pour la BCS; âge au vêlage et HYS pour la production de lait, prise alimentaire et NOB. L'animal et les effets résiduels ont été réglés comme effets aléatoires pour tous les caractères. Les estimations d'héritabilités pour la production de lait, ingestion des matières sèches (DMI-« dry matter intake »), angularité, profondeur de corps, stature, puissance laitière, cote finale, BCS et NOB étaient 0,41, 0,13, 0,24, 0,30, 0,50, 0,30, 0,22, 0,20 et 0,02, respectivement. Les corrélations génétiques entre les caractères de conformation et la DMI variaient entre 0,16 et 0,60. Les résultats indiquent que les caractères de conformation semblent avoir un potentiel pour la prévision de la DMI en tant que combinaison/indice de deux caractères ou plus. [Traduit par la Rédaction] Mots-clés : production de lait, prise alimentaire...

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Section: Effect Of Age At Calvingmentioning

confidence: 99%

Genetic and phenotypic associations of type traits and body condition score with dry matter intake, milk yield, and number of breedings in first lactation Canadian Holstein cows

Bilal

Cue²,

Hayes³

2016

Can. J. Anim. Sci.

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“…were higher than the optimum age range of 22.5 to 23.5 months for a maximum lifetime profit (Meyer et al, 2004;Do et al, 2013).…”

Section: Discussionmentioning

confidence: 70%

Comparative performance of dairy cows in low-input smallholder and high-input production systems in South Africa

Abin

Visser

Banga

2018

Trop Anim Health Prod

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The aim of this study was to benchmark the performance of dairy cows in the low-input smallholder system against their counterparts in the high-input system, in South Africa. Data comprised of cow performance records from the national dairy recording scheme. Performance measures included production (305-day yields of milk, fat, and protein), lactation length, somatic cell count (SCC), and reproductive traits, represented by age at first calving (AFC) and calving interval (CI). Least squares means of each trait were compared between the two systems, and lactation curves for production traits and SCC were plotted for each production system. Mean yields of milk, fat, and protein were significantly (P < 0.05) lower in the smallholder (4097 ± 165, 174 ± 5.1, and 141 ± 4.5 respectively) compared to the high-input system (6921 ± 141, 298 ± 4.7, and 245 ± 4.1 respectively). Mean lactation length was significantly (P < 0.05) shorter for the smallholder (308 ± 15.1) than the high-input system (346 ± 12.8). Log-transformed somatic cell count (SCS) was, however, significantly (P < 0.05) higher in the smallholder (2.41 ± 0.01) relative to the high-input system (2.27 ± 0.01). Cows in high-input herds showed typical lactation curves, in contrast to the flat and low peaking curves obtained for the smallholder system. Cows on smallholder herds had their first calving significantly (P < 0.05) older (30 ± 0.5) than those in the high-input system (27 ± 0.5). There was, however, no significant difference (P < 0.05) in CI between the two systems. These results highlight large room for improvement of dairy cow performance in the smallholder system and could assist in decision-making aimed at improving the productivity of the South African dairy industry.

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“…The results were similar in researches in Estonia [7], were the average BCS of primiparous cows in lactation was 3.3-3.5 units. In the research the Holstein breed primiparous cows were calving in 23.3 months, which is an optimal calving period [8].…”

Section: Fig 1 Correaltin Between Bcs and Milk Yieldmentioning

confidence: 99%

Automatic monitoring of body condition score of hight yielding Holstein cows using three-dimensional imaging technique

Eihvalde¹,

Kairiša²

2017

Engineering for Rural Development

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Body condition scoring (BCS) refers to the relative amount of subcutaneous body fat or energy reserve in the dairy cow. BCS is an important management tool for maximizing milk production and reproductive efficiency while reducing the incidence of metabolic and other peripartum diseases. The threedimensional BCS camera, made by the Swedish company "DeLaval" was used in the research. This camera is connected to the cow identification system. According to the camera location place, the cow is evaluated 2 to 10 times per day. The obtained information is sent to the computer. DeLaval 3D camera has been developed for three different cow breed types. The research was done at the Latvia University of Agriculture research and study farm "Vecauce" and the results of 10 primiparous and 10 multiparous Holstein breed cows in the robotic voluntary milking system were analysed. The data were collected from February to December 2016. The research shows that milking cow BCS during 120 lactation days was reduced from 3.5 till 2.7 units and the correlation among the parameters average tight (r =-0.72). The research cows were with a high productivity, in 120 lactation days it was 41.7 kg in average. The largest BCS during 120 lactation days was noticed to primiparous cows and the correlation between the BCS and milk yield was r =-0.71. The parameters among older lactation cow BCS and yielding were less (r =-0.22). The fastest increase of all age cows has been in the first lactation month, where the milk yield increase of primiparous cows was 13.5 %, but the BCS decrease was 5.7 %. The milk yield increase of multiparous cows was 10 %, but the BCS decrease was 5.7 %. Primiparous cows, which become pregnant in the first insemination time, were inseminated in the 89 ± 8.9 day and their BCS was 3.0 ± 0.12 units. Multiparous cows, which become pregnant, were inseminated in the 84 ± 3.5 lactation day and their BCS was 2.7 ± 0.3 units.

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The Effect of Age at First Calving and Calving Interval on Productive Life and Lifetime Profit in Korean Holsteins

Cited by 65 publications

References 23 publications

Genetic and phenotypic associations of type traits and body condition score with dry matter intake, milk yield, and number of breedings in first lactation Canadian Holstein cows

Genetic and phenotypic associations of type traits and body condition score with dry matter intake, milk yield, and number of breedings in first lactation Canadian Holstein cows

Comparative performance of dairy cows in low-input smallholder and high-input production systems in South Africa

Automatic monitoring of body condition score of hight yielding Holstein cows using three-dimensional imaging technique

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