“…Meta‐analysis can be performed using either MQTL or BioMercator software by formulating and inserting particular sets of algorithms for accurate estimation and recalculation of the genetic position for a specified set of QTLs (Wang et al., 2014). The MQTL analysis has already been conducted in different crops, including wheat (e.g., Gudi, Saini, et al., 2022; Kumar et al., 2021; Pal et al., 2021, 2022; Saini et al., 2021; Saini, Chahal, et al., 2022; Saini, Srivastava, et al., 2022; Tanin et al., 2022), rice (e.g., Sandhu et al., 2021), maize (e.g., Kaur et al., 2021), sorghum (e.g., Aquib & Nafis, 2022), barley (e.g., Zhang et al., 2017), and tomato (e.g., Ayenan et al., 2018). Furthermore, MQTL analysis has also been conducted in some legume crops for different traits such as Fe and Zn content and resistance to white mold in French beans (Izquierdo et al., 2018; Vasconcellos et al., 2017), yield‐related traits, seed protein content and partial resistance to Aphanomyces root rot in pea (Hamon et al., 2013; Klein et al., 2020), leaf spot resistance, plant height, seed number, and seed yield in peanut (Chen et al., 2019; Lu et al., 2018; Lv et al., 2018), and—quality traits in soybean (Chen et al., 2021).…”