Abstract
Abstract The software IPRDataCol was developed in 2017 at the Instituto Agronomico do Parana (IAPAR) by a research group (Nucleo1) studying information technology applied to agricultural research. Due to the software architecture, whether the label-generating nor the data capture module use any native database, i.e, the program can be used directly from portable storage devices with flash memory. It is designed as a support tool to meet the needs of different research projects, regarding optimization in the identification of experimental plots in the field or laboratory/greenhouse, with subsequent logging of yield data measured by electronic scales, and storage in digital files. The software can be downloaded free of charge from the internet (http://nucleo1.org), without registration. The use of this program will contribute to minimize errors in data acquisition since the typing phase is not necessary for yield data measured by electronic scales.
Highlights
The success of a plant breeding program, for any species, depends directly on a good experimental planning, as well as an adequate management of the information of the genotypes used, to obtain highly reliable results that allow the choice of the best breeding strategies based on genetic parameters and biological phenomena, optimizing human, material and financial resources of the research institution
It should be considered that there are few research programs in which, for example, plot harvesters are used with a combined weighing system and automated data storage of the experimental plots, all in one, mainly due to the high cost of purchase or adaptation of this type of equipment
The software IPRDataCol (Figure 1A) was developed in 2017, at the Agronomic Institute of Paraná (IAPAR), by a Núcleo1 research group studying information technology applied to agricultural research and registered at National Institute of Industrial Property (INPI) with number BR512017001116-8
Summary
The success of a plant breeding program, for any species, depends directly on a good experimental planning, as well as an adequate management of the information of the genotypes used, to obtain highly reliable results that allow the choice of the best breeding strategies based on genetic parameters and biological phenomena, optimizing human, material and financial resources of the research institution. According to Torres (1998), by automation a greater number of traits can be controlled, reducing the loss of information and number of errors imported in the database In this respect, it should be considered that there are few research programs in which, for example, plot harvesters are used with a combined weighing system and automated data storage of the experimental plots, all in one, mainly due to the high cost of purchase or adaptation of this type of equipment. As to date no free software for the generation of barcode labels associated with data capture and storage modules was available, universities, companies, public research institutes, and even small and medium-sized private companies have tabulated data in spreadsheets This makes the process error-prone, since the probability of mistakes in typing data or copying entire cells or columns erroneously is always high (Phenome-Networks 2016). The software in question is designed as a free support tool to meet the needs of different research projects with a view to the optimization of the identification of experimental plots both in the field and in the laboratory/greenhouse and the subsequent capture and storage of yield data by electronic scales, making the information available for later transfer to databases or even electronic spreadsheets, according to the user’s preference
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