Muhammad Zubair's research while affiliated with Pakistan Agricultural Research Council and other places

... The additive main effects and multiplicative interaction (AMMI) model (Crossa, 1990;Gauch, 1992) and the GGE biplot (Yan, Hunt, Sheng, & Szlavnics, 2000;Yan & Kang, 2002) more effectively explain the GEI interaction. Comparing the effectiveness of both the methods, it was confirmed that GGE biplot can visualize the genotype main effect and GEI in simpler and logical way than AMMI model by excluding the additive main effect and only representing the genotypic effect (Yan & Kang, 2002). ...

... The observations showed the existence of additive together with epistatic gene action in the hybrid for the trait. Similarly, additive and non-additive gene action was reported by Zubair et al. (2007) and Latha et al. (2018) in their studies. In cross IC 398746  IC 76417, dominance (h), additive  additive (i) and dominance  dominance (l) components were significant which indicated the predominant role of dominance coupled with epistatic gene action. ...

... The cultivars used in this study, for instance, were all grouped into separate clusters. This finding is consistent with Ahmad et al. (2008) and Abebe et al. (2010). They reported that clustering of accessions based on morphological characteristics did not reveal any distinct geographic grouping patterns, as accessions from the same or adjacent regions were found in different clusters. ...

... The magnitude of non additive components were greater than the additive (D^) components which indicated the important role of non additive gene control for the characters. These finding are in agreement with the Azmal et al. (2007) [1] , Patel et al. (2009) [7] , Rahman et al. (2009) [8] . [4] , Khattak et al. (2002) [5] , Azamal et al. (2007) [1] , Patel et al. (2009) [7] . ...

... It means that the line is tolerant or even resistant to the disease. On contrary, if major variation occurs in the response, especially if the change is undesirable, it means the infection impacts the genotype making it susceptible [21]. Cercospora leaf spot (CLS) disease is an important foliar disease in mung bean crops but no highly resistant sources are available for production in tropical and subtropical regions. ...

... During selection, traits that signi cantly contribute to PCA variation indicates the genotypes collection's variability [71]. Previous study by Zubair, [73] found that the rst four PCs with eigenvalues > 1 contributed 85.49% of the variability among 40 mung bean genotypes. In another study by Jeberson [74], the rst PCs with eigenvalues > 1 contributed 88.4% of the variability among 24 mung bean genotypes. ...

... A variety of foods, including bread, chapattis, cakes, cookies, and confectionery are made from it. In recent years, it is grown on the largest cultivated area in Pakistan [5]. During the last few decades, better progress has been made in increasing the unit area yield of wheat in the country [6]. ...

... GCA effects for day to heading, days to maturity, flag leaf length, flag leaf width, spike length, awn length, number of effective tillers meter -1 , plant height, number of grains spike -1 , thousand grains weight, grain yield plant -1 , biological yield plant -1 , harvest index, leaf area index and chlorophyll fluorescence were estimated to be higher than SCA effects, showing that additive gene effects were predominant for these traits. Many researchers have noted variations in wheat for a wide range of yields and its component traits, including Akram et al. (2011); Raj and Kandalkar (2013); Ammar et al. (2014); Saeed and Khalil (2017); Ingle et al. (2018); Sharma et al. (2019) and Srivastava et al. (2020). ...

... It was suggested that to improve the productivity of mungbean, cultivars capable of producing high biomass production with the ability of maximum translocation to seeds are required [24]. A high harvest index is a complex trait among cultivars and very sensitive to environmental conditions including abiotic stress [25]. It was observed that mungbean cultivars show differential behavior for biomass and its translocation to seeds under water stress [7,26]. ...

... The high value of deviation from regression signifies that there is high sensitivity to environmental changes, thus these lines quite give high yield performance when environmental conditions were conductive (Arshad et al., 2003). Zubair et al. (2002) also suggested that if regression coefficients of the genotypes are not significantly different from 1, the stability of these genotypes should be judged upon other two parameters i.e. genotypic mean (as represented by phenotypic index; P i ) and the value of deviation from regression. BP purple with a negative phenotypic index and a regression coefficient below 1.0, provides a measurement of greater resistance to environmental change (above average stability), may be not suitable for both poor and rich environments. ...