The milk production and survival of spring-calving carryover cows in New Zealand

Gardner, Rachel R.; López‐Villalobos, N.; Back, P. J.; McNaughton, L.R.

doi:10.1080/00288233.2019.1576211

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…A characteristic New Zealand-type dairy cattle, whether pure or crossbred, is small or moderate in size, matures earlier and has inherently higher fertility characteristics than dairy cattle in other populations. Such cows are pasture-based and have been developed over many generations to suit a very specific management system which may differ from dairy cattle found in other systems ( Blackwell et al, 2010 ; Gardner, 2017 ). Crossbreeding is predominantly used for dairy production in both New Zealand and Africa whereby the genetic evaluation system analyses all breeds together so that the breeding values and profitability of crossbreds and purebreds can be referenced and compared directly across all breed genotypes.…”

Section: Additional Dimensions For Harnessing the Jersey Cattle In Af...mentioning

confidence: 99%

From a documented past of the Jersey breed in Africa to a profit index linked future

Opoola

Shumbusho²,

Hambrook³

et al. 2022

Front. Genet.

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The paper reports on the prevalence and performance of the Jersey cattle breed in Africa, highlighting its geographic distribution and describing the reported performance and other related characteristics from the early 1900s to the present day. The review examines the contribution of Jersey cattle in increasing the volume and efficiency of milk production across the continent. Data relating to the Jersey cattle breed has been reported in more than 30 African countries based on available material published between 1964 and 2020. A key encompassing parameter of any reference was a well-described consideration of the Jersey cattle breed (as pure or crossbred with other exotic and/or indigenous breeds) with reported performance within a variety of production systems and agro-ecologies in Africa. The main focus was on breed and performance parameters, breed types, percentage of different breed types in specific environments, reproduction method and fertility; survival and longevity; disease incidence; and production efficiency metrics such as: feed efficiency (milk unit per dry matter intake, DMI) and milk yield (MY) per unit of body weight (BW). The main performance descriptors identified were based on observations on resilience under both abiotic (heat, nutrition) and biotic (incidences of pests and diseases) stressors, milk production, BW, nutrition and utilisation of feed resources. From the literature consulted, we grouped key dairy cattle performance characteristics reported in each country under the following areas to aid comparisons; a. Milk production (Milk nutrient value, daily MY, lifetime MY and annual MY); b. Fertility traits and AFC; c. Survival and longevity, d. Production efficiency (Feed efficiency, milk per unit BW and milk per unit DMI and e. Disease incidences. Results of the review showed that the smaller stature and lower maintenance nutrient requirements of the Jersey breed means that it is better suited to tolerate the tropical production conditions in the African small-scale dairy farming sector. Detailed analyses on MY and survival showed that Jersey crosses with exotic and African indigenous breeds performed better than purebred cattle with strong evidence to support the suitability of the Jersey breed in crossbreeding with indigenous breeds for use in smallholder production systems.

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Section: Additional Dimensions For Harnessing the Jersey Cattle In Af...mentioning

confidence: 99%

From a documented past of the Jersey breed in Africa to a profit index linked future

Opoola

Shumbusho²,

Hambrook³

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

show abstract

“…The results showed that the average relative training error of the tensile strength of the model output was 3.46%, and the average prediction error value was 3.40%; the average relative training error of corrosion potential is 3.78%, and the average prediction error is 3.59%; Li Tao [5] et al proposed technologies such as immunebased large-scale network intrusion dynamic forensics, as well as network security risk detection and control, although there have been relevant researches on immune principle algorithms at home and abroad. However, due to the complexity of the algorithm, the long time, the selection of the crossover operator and the mutation operator are easy to fall into the local optimum (premature) and other problems, we still need to break through [6][7][8] . In order to avoid the problems of the above-mentioned immune hybrid algorithm, this article combines the immune algorithm with the genetic algorithm (GA) [9][10][11] , and proposes a new secondary selection immune genetic algorithm IGA (immune genetic algorithm); the algorithm adopts a new initialization method to improve the quality of the initial solution of the population, designs a reasonable coding mechanism, selection strategy, adaptive cross-mutation operation, and combines operations such as immunization and immune memory to improve global convergence and shorten the convergence speed of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Improved Immune Genetic Algorithm to Optimize the Design of Wing Structure of Competition Aircraft

Feng

Zhang

2021

J. Phys.: Conf. Ser.

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An improved immune genetic algorithm is used to design and optimize the wing structure parameters of a competition aircraft. According to the requirements of aircraft design, multi-objective optimization index is established. On this basis, the basic steps of using immune algorithm to optimize the main design parameters of aircraft wing structure are proposed, and the optimization of the wing parameters of a competition aircraft is used as an example for simulation calculation. The design variables in the optimization are the size of the wing components, and the optimization goal is to minimize the weight of the wing and the maximum deformation of the wing structure. Research shows that compared with traditional optimization methods; the improved immune genetic algorithm is a very effective optimization method. At the same time, a prototype is made to check the validity and feasibility of the design. Flight test results show that the optimization method is very effective. Although the method is proposed for competition aircraft, it is also applicable to other types of aircraft.

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Increased yearling weight as a proportion of 21-month weight was associated with increased milk production in dairy heifers

Handcock

López‐Villalobos

McNaughton

et al. 2020

New Zealand Veterinary Journal

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The milk production and survival of spring-calving carryover cows in New Zealand

Cited by 4 publications

References 3 publications

From a documented past of the Jersey breed in Africa to a profit index linked future

From a documented past of the Jersey breed in Africa to a profit index linked future

Improved Immune Genetic Algorithm to Optimize the Design of Wing Structure of Competition Aircraft

Increased yearling weight as a proportion of 21-month weight was associated with increased milk production in dairy heifers

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