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<p>The chi-square test (χ<sup>2</sup>) has long been used to analyze categorical data and, while not used extensively in biotechnology trials, it has found application in numerous studies investigating segregation analysis. This report considered whether this test can be used on quantitative data collected from biotechnology experiments to determine whether the inherent principles of the test would allow room for adaptation and application with numerical data. This was evaluated using data published in three diverse biotechnology experiments investigating the response of in vitro sugarcane plants to salt stress, the effect of genetic transformation on field performance of pineapple plants, and the effect of cryopreservation on neonotonia seeds. Overall, this work shows that the χ<sup>2</sup> test is suitable for the analysis of quantitative (numerical) data.</p>

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The Pearson’s χ2 test is feasible for plant biotechnology experiments involving quantitative data

  • 期刊论文

  • 发表日期：

    2025年11月13日

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  • José Carlos Lorenzo,
  • Daviel Gómez,
  • Lisbet Pérez-Bonachea,
  • Yanier Acosta,
  • Barbarita Companioni,
  • Byron E. Zevallos–Bravo,
  • María de Lourdes Tapia y Figueroa,
  • Elliosha Hajari

摘要

The chi-square test (χ2) has long been used to analyze categorical data and, while not used extensively in biotechnology trials, it has found application in numerous studies investigating segregation analysis. This report considered whether this test can be used on quantitative data collected from biotechnology experiments to determine whether the inherent principles of the test would allow room for adaptation and application with numerical data. This was evaluated using data published in three diverse biotechnology experiments investigating the response of in vitro sugarcane plants to salt stress, the effect of genetic transformation on field performance of pineapple plants, and the effect of cryopreservation on neonotonia seeds. Overall, this work shows that the χ2 test is suitable for the analysis of quantitative (numerical) data.