The use of discriminant analysis to validate a methodology for classifying farms based on a combinatorial algorithm

Riveiro-Valiño, J. A.; Álvarez-López, C. J.; Marey-Pérez, M. Fco.

doi:10.1016/j.compag.2008.12.001

Cited by 18 publications

(14 citation statements)

References 29 publications

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“…Therefore, this choice should be based on the experience and objectivity of the researcher, whose role is strengthened by this heuristic decision somehow strengthens the role of the researcher (Hair et al, 1998;Riveiro-Valiño et al, 2009). Finally, in the form of confirmation analysis, the differentiating effect of the grouping on the original indicators was observed.…”

Section: Classification Of Farmsmentioning

confidence: 99%

Family dairy farms in the Podlasie province, Poland: farm typology according to farming system

Genís

Mądry

Gozdowski

et al. 1970

Span. j. agric. res.

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The aim of this paper is to establish a farm typology according to the dairy farming systems in the western part of the Podlasie province. Data of 39 variables was collected by a survey to owners of 123 family farms. A two-stage multivariate analysis was conducted in order to determine farm typology. Three principal components were detected, explaining 80.4% of the total variance. The cluster analysis identified five groups of farms. In two groups the cow productivity is the biggest in the area. A third group contains the smallest and lowest cow productivity farms, with high proportion of non-agricultural activities. One of the two remaining groups has better soil quality and medium cow productivity. The other group has low or medium soil quality but cow productivity is higher than in the fourth group. The SWOT analysis shows different weaknesses and strengths for different groups, as well as those common to a larger number of groups. Weaknesses are related to small farm size, large number of workers, low or medium soil quality and low or medium level of technology. Strengths are related to a large share of fodder crops, low livestock density, diversification of agrarian activities and acceptable cow productivity. On the other hand, general opportunities are linked to the EU-CAP evolution and to the presence of cooperatives in the region, whereas general threats derive from a hypothetic increase of feed prices and quantity of milk produced in the EU, which could lead to a fall in milk prices.Additional key words: cattle density; farming diversification; multivariate analysis. Resumen Explotaciones lecheras familiares de la provincia de Podlasia (Polonia): clasificación de las explotaciones según los sistemas agrariosEl objetivo de este trabajo es establecer tipologías de sistemas lecheros en el oeste de Podlasia (Polonia). Se analizaron 39 variables a partir de encuestas realizadas a propietarios de 123 explotaciones. Tras el análisis multivariante en dos etapas (factorial y cluster) se encontraron tres componentes principales que explican el 80,4% de la varianza total y se obtuvieron cinco grupos de explotaciones. En dos de los grupos la productividad de las vacas es la mayor de la zona. Un tercer grupo tiene las granjas más pequeñas y menos productivas, con una mayor proporción de actividades no agrarias. El cuarto tiene los suelos de mejor calidad y una productividad de las vacas media y el quinto tiene suelos de calidad media o baja pero una productividad de las vacas superior. En general, las debilidades están relacionadas con una escasa dimensión de las granjas, un elevado número de trabajadores, una baja o media calidad de los suelos y un bajo o mediano nivel de tecnología. Las fortalezas están relacionadas con la abundancia de cultivos forrajeros, una carga ganadera baja, una aceptable diversificación agraria y una aceptable productividad de las vacas. Las principales oportunidades están ligadas a la evolución de la PAC de la UE y a la presencia de cooperativas para la comercialización de la lech...

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Section: Classification Of Farmsmentioning

confidence: 99%

Family dairy farms in the Podlasie province, Poland: farm typology according to farming system

Genís

Mądry

Gozdowski

et al. 1970

Span. j. agric. res.

View full text Add to dashboard Cite

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“…A cluster analysis allowed grouping the farms that were similar. Other classification techniques were used by researchers to study the different typologies of dairy farms, but the discriminate analysis may be used to validate this methodology (Riveiro-Valiño et al, 2009). The characteristics of each group in the active topic as well as the rest of the illustrative variables collected in the survey were then statistically described.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, if we consider the implications of a new milk machine like an AMS, this can complicate things more and if we include criteria based on farmer satisfaction, this gets even worse. Riveiro et al (2009) described three types representative of Galician dairy farms using other grouping methodologies but no other previous research was found about classification of dairy farms with AMS. The average farm size in this study is greater than the average dairy farm size in Galicia (25 cows/farm) (IGE, 2010), and also greater than the average dairy farm in Spain (30 cows/farm) (INE, 2009), but smaller than in Dutch farms with AMS (87 cows/farm; Hogeveen et al, 2004).…”

Section: Discussionmentioning

confidence: 99%

Typologies of Dairy Farms with Automatic Milking System in Northwest Spain and Farmers’ Satisfaction

Castro

Pereira

Amiama

et al. 2015

Italian Journal of Animal Science

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The aim of this study was to determine the characteristics of the dairy farms that installed an automatic milking system (AMS). A survey of 38 dairy farms with AMS, in Galicia (Spain), collected information on quantitative and qualitative variables. Following elimination of redundant variables, categorical principal component analysis identified 4 factors accounting for 43.7% of the total variance. Using these factors, the farms studied were subjected to hierarchical cluster analysis which differentiated 4 types of farms: (A) farms with more leisure and quality of life where the AMS covered the expectations of farmers (29%); (B) farms that removed cows more often due to AMS and farmers with more stress (34%); (C) farms with little leisure and farmers with no successor (21%); (D) large farms with many fulltime employees (FTE) where the AMS had covered farmer's expectations the least (11%). Generally the farms were based on a family structure with a high percentage of FTE. With the adoption of AMS these farms sought to increase milk production, save labour and have more flexibility. With 87% of farms with free cow traffic the activity that took the most of the farmer's time was fetching cows for milking (1 h/day). Nearly 58% of farmers were completely satisfied with their AMS, although this value reached 91% in farms with herd sizes below the average which were better adapted to the use of one AMS.

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“…should be proportionally represented (Ruiz et al, 2008). Regarding the size of the sample, this should be greater when studying large areas, regions or countries (Riveiro-Valiño et al, 2009;Acosta-Alba et al, 2012) that when studying specific areas (Pardos et al, 2008;Gaspar et al, 2008). In addition, the sample should have a larger size in a basic study of an area or region (Castel et al, 2003) than in a specif ic study of an already characterized area, especially when in this last area the used variables are quantitative and measurements are reliable (Ruiz et al, 2008).…”

Section: Size and Characteristic Of Farm Samplesmentioning

confidence: 99%

“…It is therefore envisaged that this kind of information will have to be collected by consulting farm advisors and researchers at regional or national level (Andersen et al, 2007). Likewise, a lack of differentiated data about the real situation of farms is cited by Riveiro-Valiño et al (2009) in order to use a program for working in the development of a decision support system for Agricultural Production Planning in Galicia, Spain. Furthermore, the data sometimes have different units of measure when coming from different countries.…”

Section: Size and Characteristic Of Farm Samplesmentioning

confidence: 99%

An overview of farming system typology methodologies and its use in the study of pasture-based farming system: a review

Mądry

Guerrero²,

Roszkowska-Mądra

et al. 2013

Span. j. agric. res.

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The main objective of the paper is to do a critic study of the use of typology methodologies within pasture-based farming systems (PBFS), especially those situated in less favoured areas, showing in each case the more relevant variables or indicators determining the farming system classification. Another objective is to do an overview of the most used farming system typology methodologies in general. First some considerations about the concept of farming system and approaches to its study have been done. Next, the farming system typology methodologies have been showed in general to different farming systems, but addressed preferably to PBFS. The different tools integrated in these methodologies have been considered: sampling methods, sources of data, variables or indicators obtained from available data and techniques of analysis (statistical or not). Methods for farming system classification have been presented (expert methods, analytical methods or a combination of both types). Among the statistical methods, the multivariate analysis has been overall treated, including the principal component analysis and the cluster analysis. Finally, the use of farming system typology methodologies on different pasture-based farming systems has been presented. The most important aspects considered are following: the main objective of the typology, the main animal species, the employed methods of classification and the main variables involved in this classification.

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The use of discriminant analysis to validate a methodology for classifying farms based on a combinatorial algorithm

Cited by 18 publications

References 29 publications

Family dairy farms in the Podlasie province, Poland: farm typology according to farming system

Family dairy farms in the Podlasie province, Poland: farm typology according to farming system

Typologies of Dairy Farms with Automatic Milking System in Northwest Spain and Farmers’ Satisfaction

An overview of farming system typology methodologies and its use in the study of pasture-based farming system: a review

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