Application of Indonesian's National Standard for Grouping of Bali Cattle with Cluster and Biplot Analysis

Research on the application of the Indonesian National Standard (SNI) of Bali cattle by cluster analysis and biplot aims to provide a visual picture in the form of tables and graphs, so that it is easier and faster and more communicative in making decisions, whether the cows studied are included in class I, class II, or class III based on SNI Bali cattle. This study was conducted on 70-year-old adult female cows of 70 animals raised at the Integrated Farming System (Simantri) in Badung regency. The data obtained were analyzed by cluster analysis and biplot, as variables were shoulder height, body length and chest circumference, while as objects were 70 adult cows and 3 classes of Balinese cattle based on SNI of Bali cattle as object identifiers. The results obtained that the application of SNI for Bali cattle can be done by cluster analysis and biplot and both analyzes give the same results to the grouping of Bali cattle objects based on SNI for Bali cattle. Grouping by cluster analysis is easier to see based on the cluster membership obtained, whereas with biplot analysis provides additional information about correlations and diversity between variables.

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The Role and Performance of Bali Cattle Fed Agriculture Waste Product in Integrated Farming System

Proceedings of International Seminar on Livestock Production and Veterinary Technology ◽

10.14334/proc.intsem.lpvt-2016-p.78-84 ◽

2017 ◽

Author(s):

I Made Mastika ◽

A W Puger ◽

I K M Budiasa ◽

I M Mudita

Keyword(s):

Waste Product ◽

Farming System ◽

Agriculture Waste ◽

Integrated Farming ◽

Bali Cattle ◽

And Performance

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Physiological Responses of Bali Cattle with Oil Palm Integrated Farming System Based on Microclimate Environment Condition

Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan ◽

10.29244/jipthp.5.1.23-28 ◽

2017 ◽

Vol 5 (1) ◽

pp. 23-28 ◽

Cited By ~ 2

Author(s):

E. L. Aditia ◽

◽

A. Yani ◽

A. F. Fatonah ◽

◽

...

Keyword(s):

Oil Palm ◽

Physiological Responses ◽

Farming System ◽

Integrated Farming ◽

Bali Cattle ◽

Microclimate Environment ◽

Environment Condition

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Greenhouse gas emission from integrated farming system models : A comparative study

Green Farming ◽

10.37322/greenfarming/10.6.2019.696-701 ◽

2019 ◽

Vol 10 (6) ◽

pp. 696

Author(s):

MEERA A.V. ◽

JOHN J. ◽

SUDHA B. ◽

SAJEENA A. ◽

JACOB D. ◽

...

Keyword(s):

Comparative Study ◽

Greenhouse Gas ◽

Greenhouse Gas Emission ◽

Farming System ◽

Gas Emission ◽

System Models ◽

Integrated Farming

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Enhancement in productivity and income sustainability through Integrated farming system approaches for small and marginal farmers of Eastern India

Journal of AgriSearch ◽

10.21921/jas.v4i2.7777 ◽

2017 ◽

Vol 4 (2) ◽

Cited By ~ 1

Author(s):

SANJEEV KUMAR ◽

SHIVANI . ◽

S. K. SAMAL ◽

S. K. DWIVEDI ◽

MANIBHUSHAN .

Keyword(s):

Nutrient Recycling ◽

Farming Systems ◽

Fruit Trees ◽

Farming System ◽

Eastern Region ◽

Net Income ◽

System Productivity ◽

Integrated Farming ◽

Systems Models ◽

The Cost

Integration of different components viz. livestock, fishery, horticulture, mushroom etc. along with field crops not only enhanced productivity but by-products (waste) of one component act as input for another component through resource recycling within the system. Six integrated farming systems models with suitable combinations of Crop, vegetables, fruit trees, fish, livestock, mushroom etc. were made and evaluated at the experimental farm of ICAR Research Complex for Eastern Region, Patna during 2012-16 for harness maximum income, nutrient recycling and employment. Among six combinations, crop + fish + duck + goat resulted as most profitable combination in terms of productivity (RGEY- 22.2t), net income (Rs. 2,15,900/ha), additional employment (170 days/year) with income sustainability index (ISI) by 90.2. Upon nutrient recycling prepared from different wastes from the system Crop + fish + duck + goat combination added N (56.5 kg), P (39.6 kg) and K (42.7 kg) into the soil and reduced the cost of cultivation by 24 percent and was followed by crop + fish + goat combination. Crops grown under IFS mode with different types of manures produced 31 percent higher yield over conventional rice- wheat system. The contribution of crops towards the system productivity ranged from 36.4 to 56.2 %, while fish ranged from 22.0-33.5 %; for goat 25.4-32.9 %; for poultry 38.7 %; for duck 22.0-29.0 %; for cattle 32.2% and for mushroom 10.3 %.

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Sleep and cardiometabolic risk: a cluster analysis of actigraphy-derived sleep profiles in adults and children

SLEEP ◽

10.1093/sleep/zsab014 ◽

2021 ◽

Author(s):

Lisa Matricciani ◽

Catherine Paquet ◽

François Fraysse ◽

Anneke Grobler ◽

Yichao Wang ◽

...

Keyword(s):

Cluster Analysis ◽

Cardiometabolic Risk ◽

High Efficiency ◽

Cardiometabolic Health ◽

Maturity Stage ◽

Cluster Membership ◽

Geographic Clustering ◽

Adults And Children ◽

Study Participants ◽

Generalised Estimating Equations

Abstract Study objectives Sleep plays an important role in cardiometabolic health. While the importance of considering sleep as a multidimensional construct is widely appreciated, studies have largely focused on individual sleep characteristics. The association between actigraphy-derived sleep profiles and cardiometabolic health in healthy adults and children has not been examined. Methods This study used actigraphy-measured sleep data collected between February 2015 and March 2016 in the Child Health CheckPoint study. Participants wore actigraphy monitors (GENEActiv Original, Cambs, UK) on their non-dominant wrist for seven days and sleep characteristics (period, efficiency, timing and variability) were derived from raw actigraphy data. Actigraphy-derived sleep profiles of 1,043 Australian children aged 11-12 years and 1337 adults were determined using K-means cluster analysis. The association between cluster membership and biomarkers of cardiometabolic health (blood pressure, body mass index, apolipoproteins, glycoprotein acetyls, composite metabolic syndrome severity score) were assessed using Generalised Estimating Equations, adjusting for geographic clustering, with sex, socioeconomic status, maturity stage (age for adults, pubertal status for children) and season of data collection as covariates. Results Four actigraphy-derived sleep profiles were identified in both children and adults: Short sleepers, Late to bed, Long sleepers, and Overall good sleepers. The Overall good sleeper pattern (characterised by adequate sleep period time, high efficiency, early bedtime and low day-to-day variability) was associated with better cardiometabolic health in the majority of comparisons (80%). Conclusion Actigraphy-derived sleep profiles are associated with cardiometabolic health in adults and children. The Overall good sleeper pattern is associated with more favourable cardiometabolic health.

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