2019
DOI: 10.31830/2348-7542.2019.002
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Yield stability and adaptation of four spring barley (Hordeum vulgare L.) cultivars under rainfed conditions

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Cited by 8 publications
(3 citation statements)
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“…For interpretation of experimental data from multi-environment trials it is necessary to use the most appropriate statistical models (van Eeuwijk et al, 2016). AMMI (Mehari et al, 2014;Abtew et al, 2015;Bocianowski et al, 2019;Verma et al, 2019) and GGE biplots (Bilgin et al, 2018;Al-Ghzawi et al, 2019;Al-Sayaydeh et al, 2019;Gudzenko, 2019) have been the most widely used in recent years in order to interpret the experimental data from genotype by environmental trials. A number of researchers combine both of these statistical tools (Vaezi et al, 2017;Fana et al, 2018;Solonechnyi et al, 2018;Kendal et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…For interpretation of experimental data from multi-environment trials it is necessary to use the most appropriate statistical models (van Eeuwijk et al, 2016). AMMI (Mehari et al, 2014;Abtew et al, 2015;Bocianowski et al, 2019;Verma et al, 2019) and GGE biplots (Bilgin et al, 2018;Al-Ghzawi et al, 2019;Al-Sayaydeh et al, 2019;Gudzenko, 2019) have been the most widely used in recent years in order to interpret the experimental data from genotype by environmental trials. A number of researchers combine both of these statistical tools (Vaezi et al, 2017;Fana et al, 2018;Solonechnyi et al, 2018;Kendal et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Erratic precipitation and frequent droughts demonstrate that climate change and global warming will further impact water supply and agriculture production (Al-Ajlouni et al, 2016, 2017Al-Ghzawi et al, 2018. Middle Eastern countries, including Jordan, are severely affected by climate change and global warming-associated conditions where future scenarios predict a decrease in rainfall and an increase in temperature (Al-Ghzawi et al, 2019). Such adverse climatic changes and more frequent weather extremes will significantly affect rainfed agricultural systems, including cereal productivity, and hence negatively affect food security.…”
Section: Introductionmentioning
confidence: 99%
“…La ganancia genética de la cebada es heterogénea y está medida en diferentes décadas; de 1968 a 2008 el rendimiento promedio mundial en t ha -1 se movió de 1,7 a 2,6 y de 3,3 a 5,9 en Europa occidental (Riggs et al, 1980); de 1979 a 2006 en Etiopía de 3,2 a 4,4 (Al-Ghzawi et al, 2019), en Perú de 0,8 t ha -1 en el año 1971 a 1,3 t ha -1 en el año 2003 con una ganancia del 62,0 % (Llacsa et al, 2020) y en Argentina en dos periodos diferentes, el primero de 1970 a 1979 con un rendimiento de 41,0 kg ha -1 año -1 (Abeledo et al, 2003) y en el segundo de 1959 a 2018, de 1,55 t ha -1 a 4,67 t ha -1 , con una ganancia genética anual de 3,1 % (Abeledo et al, 2018).…”
Section: Introductionunclassified