2023
DOI: 10.1002/glr2.12056
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Grain yield stability analysis using parametric and nonparametric statistics in oat (Avena sativa L.) genotypes in Ethiopia

Gezahagn Kebede,
Walelign Worku,
Habte Jifar
et al.

Abstract: BackgroundThe performance of oat genotypes differs across environments due to variations in biotic and abiotic factors. Thus, evaluation of oat genotypes across diverse environments is very important to identify superior and stable genotypes for yield improvement.MethodsThe study aimed to assess the interaction (genotype‐by‐environment interaction; GEI) effect and determine the stability of grain yield in oat (Avena sativa L.) genotypes in Ethiopia using parametric and nonparametric stability statistics. Twent… Show more

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Cited by 3 publications
(3 citation statements)
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“…Several other empirical results exist for crops not covered in our analysis, e.g., for oats in Ethiopia (Kebede et al 2023), for chickpeas in India (Kumar et al 2020), energy crops in the EU (Popp et al 2021), maize in several locations (Kang 1993), and cereals and vegetables in Europe and North America Hollósy 2019a, 2019b), using various methods for evaluating yield stability, but all agree that both climate impacts and the impacts of management decisions regarding farming technology interact in creating actual yield fluctuations. Shojaei et al (2021) used the AMMI methodology for maize in Iran, comparing 12 maize hybrids under different environmental conditions for a two-year study using similar stability measures as Bose et al (2014).…”
Section: Discussionmentioning
confidence: 58%
“…Several other empirical results exist for crops not covered in our analysis, e.g., for oats in Ethiopia (Kebede et al 2023), for chickpeas in India (Kumar et al 2020), energy crops in the EU (Popp et al 2021), maize in several locations (Kang 1993), and cereals and vegetables in Europe and North America Hollósy 2019a, 2019b), using various methods for evaluating yield stability, but all agree that both climate impacts and the impacts of management decisions regarding farming technology interact in creating actual yield fluctuations. Shojaei et al (2021) used the AMMI methodology for maize in Iran, comparing 12 maize hybrids under different environmental conditions for a two-year study using similar stability measures as Bose et al (2014).…”
Section: Discussionmentioning
confidence: 58%
“…This was based on stability factors such as lower values of Wi 2 , σ 2i , P i , and s 2 di, a high BLUP factor, and bi equal to 1. The use of different parametric stability assessments has also been reported in wheat (Bornhofen et al, 2017), rice (Lee et al, 2023), safflower (Afzal et al, 2021), and oat (Kebede et al, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Cohen's d effect size was employed to measure the magnitude of the mean differences between the two groups. Mathematically, Cohen's d is expressed by the following equations 68 :…”
Section: Cohen Testmentioning
confidence: 99%