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| Kozak,Marcin. |
| ABSTRACT Modern agricultural research requires a lot of statistics. Unfortunately, most up-todate statistical methods need advanced knowledge, often out of reach for agricultural researchers. Thus, efficient communication between researchers and statisticians is important for the development of agricultural knowledge. Many agricultural researchers claim that communication with statisticians is difficult. On the other hand, many statisticians claim that communication with agricultural researchers is not easy either. This being true, such poor communication can be a barrier to efficient agricultural research. The aim of this research is to study this phenomenon. Do agricultural researchers and statisticians see problems in their communication? What kinds of... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cooperation; Expert study; Statistics. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000600505 |
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| Wnuk,Agnieszka; Gozdowski,Dariusz; Górny,Andrzej; Wyszyński,Zdzisław; Kozak,Marcin. |
| ABSTRACT Even though data visualization is a common analytical tool in numerous disciplines, it has rarely been used in agricultural sciences, particularly in agronomy. In this paper, we discuss a study on employing data visualization to analyze a multiplicative model. This model is often used by agronomists, for example in the so-called yield component analysis. The multiplicative model in agronomy is normally analyzed by statistical or related methods. In practice, unfortunately, usefulness of these methods is limited since they help to answer only a few questions, not allowing for a complex view of the phenomena studied. We believe that data visualization could be used for such complex analysis and presentation of the multiplicative model. To that end,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Multiplicative model; Complex trait; Graphical methods. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000200118 |
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| Kozak,Marcin. |
| ABSTRACT An intrinsic part of our lives as scientists, academic writing strongly affects our careers. Even great researchers are much more likely to be successful if they are also proficient writers. Unfortunately, many researchers prefer long hours spent in the field or laboratory to writing. Often, this is a result of their reluctance towards writing, something that characterizes not only scientists, but many people in general. But many researchers do not like writing because they do not know how to do it well—academic writing is not that simple. In this paper, I show how to improve your academic writing skills. I do not teach writing; instead, I share my experience about learning how to write. |
| Tipo: Info:eu-repo/semantics/other |
Palavras-chave: Journals; Editing; Agricultural writing. |
| Ano: 2022 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000101701 |
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| Kozak,Marcin; Azevedo,Ricardo Antunes. |
| Studying relationships among plant and crop traits is crucial for crop scientists to understand complex biological systems that occur in plants and the field. Such knowledge constitutes the basis for more practical information on how to manage breeding and production to provide better or more suitable cultivars, higher yields, lower yield gaps, and resistance to pests etc. To acquire such knowledge, however, representative models of associations between plant and crop traits must be constructed. In path analysis - one of the major methods for analyzing multivariate relationships between quantitative traits - it is important to decide on an appropriate model for these associations, a model that is representative of the corresponding biological phenomena... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Interpretation; Relationships; Models; Statistics. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000600012 |
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