fa ارزیابی پایداری عملکرد دانه ژنوتیپ‌های سویا (Glycine max L. Merr) با استفاده از روش‌های آماری ناپارامتری تخصصي Special پژوهشي Scientific & Research <p><span style="font-size:11pt"><strong><span style="font-size:10.0pt">ارزیابی ژنوتیپ‌های سویا در شرایط متفاوت محیطی، می‌تواند در شناسایی ژنوتیپ‌های پرمحصول و پایدار مفید باشد. به منظور ارزیابی پایداری عملکرد دانه ژنوتیپ‌های سویا، تعداد 13 لاین جدید همراه با دو رقم صبا و امیر در چهار ایستگاه‌ تحقیقات کشاورزی کرج، ساری، گرگان و مغان در قالب طرح بلوک‌های کامل تصادفی با سه تکرار به مدت دو سال (1399 و 1400) ارزیابی شدند. نتایج تجزیه واریانس مرکب نشان داد که اثر ساده، دوگانه و برهمکنش سه‌گانه ژنوتیپ و سال و مکان بر عملکرد دانه ژنوتیپ‌های سویا معنی‌دار بود. بر اساس میانگین رتبه آماره‌های ناپارامتری هان </span></strong><strong><span dir="LTR" style="font-size:10.0pt">S_i⁽¹⁾_,S_i⁽²⁾, S_i⁽³⁾, S_i⁽⁶</span></strong><strong><span style="font-size:10.0pt">، آماره‌های تنارازو </span></strong><strong><span dir="LTR" style="font-size:10.0pt">NP_i⁽¹⁾, NP_i⁽²⁾, NP_i⁽³⁾, NP_i⁽⁴⁾</span></strong><strong><span style="font-size:10.0pt"> و آماره پایداری مجموع رتبه (</span></strong><strong><span dir="LTR" style="font-size:10.0pt">RS</span></strong><strong><span style="font-size:10.0pt">)</span></strong><strong><span style="font-size:10.0pt">، لاین‌های </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Hamilton&times;Karbin</span></strong><strong><span style="font-size:10.0pt">، </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Hamilton&times;</span></strong><strong><span dir="LTR" style="font-size:10.0pt">TMS</span></strong><strong><span style="font-size:10.0pt">، </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Sari</span></strong><strong><span dir="LTR" style="font-size:10.0pt">&times;</span></strong><strong><span dir="LTR" style="font-size:10.0pt">Charleston</span></strong><strong><span style="font-size:10.0pt"> و رقم صبا با کمترین مقادیر میانگین رتبه به‌عنوان پایدارترین و لاین‌های </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Hamilton</span></strong><strong><span dir="LTR" style="font-size:10.0pt">&times;</span></strong><strong><span dir="LTR" style="font-size:10.0pt">Karbin</span></strong><strong><span style="font-size:10.0pt">، </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Valenta</span></strong><strong><span dir="LTR" style="font-size:10.0pt">&times;</span></strong><strong><span dir="LTR" style="font-size:10.0pt">Karbin</span></strong><strong><span style="font-size:10.0pt">، </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Hamilton</span></strong><strong><span dir="LTR" style="font-size:10.0pt">&times;</span></strong><strong><span dir="LTR" style="font-size:10.0pt">Gorgan3</span></strong><strong><span style="font-size:10.0pt"> و </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Telar</span></strong><strong><span dir="LTR" style="font-size:10.0pt">&times;</span></strong><strong><span dir="LTR" style="font-size:10.0pt">Williams</span></strong><strong><span style="font-size:10.0pt"> با بیشترین میانگین رتبه، به‌عنوان ناپایدارترین ژنوتیپ‌ها شناخته شدند. نتایج نشان داد که آماره‌های ناپارامتری </span></strong><strong><span dir="LTR" style="font-size:10.0pt">NPi⁽⁴⁾</span></strong><strong><span style="font-size:10.0pt"> و </span></strong><strong><span dir="LTR" style="font-size:10.0pt">RS</span></strong><strong><span style="font-size:10.0pt"> با میانگین عملکرد دانه و مفهوم زراعی (دینامیک) پایداری رابطه داشتند. از این‌رو، استفاده از این روش‌ها برای گزینش ژنوتیپ‌های پایدار و پرمحصول در سویا قابل توصیه هستند. در مجموع، لاین‌های</span></strong><strong><span dir="LTR" style="font-size:10.0pt"> Sari</span></strong><strong><span dir="LTR" style="font-size:10.0pt">&times;</span></strong><strong><span dir="LTR" style="font-size:10.0pt">Charleston</span></strong><strong><span style="font-size:10.0pt">، </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Hamilton&times;Karbin</span></strong><strong><span style="font-size:10.0pt"> و </span></strong><strong><span dir="LTR" style="font-size:10.0pt">Hamilton&times;</span></strong><strong><span dir="LTR" style="font-size:10.0pt">TMS</span></strong><strong><span style="font-size:10.0pt"> با پایداری عمومی بالا، لاین‌های برتر این آزمایش شناخته شدند که برای مطالعات تکمیلی جهت معرفی به عنوان رقم تجاری جدید قابل توصیه هستند. </span></strong></span><br> &nbsp;</p> <span style="font-size:11pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="line-height:11.0pt"><span calibri="" style="font-family:"><b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.1pt">Introduction:</span></span></span></b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.1pt"> Soybean is an important oilseed crop that its oil has nutritional and high economic value. Soybean (<i>Glycine max</i> L.) is an annual, self-pollinating, diploid plant and is one of the most important oilsed plants in the world (</span></span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Smith and Huyser, 1987</span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.1pt">). </span></span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.1pt">Evaluating of promising genotypes of soybean under different environmental conditions is essential for identifying and selecting superior genotypes with high and stable seed yield potential.</span></span></span> <span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.1pt">Genotype &times; environment interaction effects are important and challenge in selection and release of new cultivars. Various methods have been introduced to evaluate the interaction effect, each of which examines the nature of the interaction effect from a specific point of view</span></span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.1pt">. The nonparametric statistics are suitable method with high efficiency to investigate the interaction effect of genotype &times; environment and provides useful information about the studied genotypes (</span></span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Mehmet <i>et al</i>., 2019</span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.1pt">). The purpose of this experiment was to investigate genotype &times; environment interaction effect using some nonparametric statistics to identify soybean genotypes with high seed yield and yield stability under different environmental conditions. &nbsp;</span></span></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="line-height:12.0pt"><span calibri="" style="font-family:"><b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Material and Methods:</span></span></b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""> Thirteen promising soybean lines along with two cultivars Saba and Amir were evaluated using randomized complete block design with three replications in four experimental field stations including Karaj, Sari, Gorgan and Moghan in 2020&ndash;2021 growing seasons. Some nonparametric statistics were used to study yield stability of soybean genotypes. </span></span><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Plots were harvested at maturity and then seed yield was recorded for each genotype. </span></span><span style="font-size:10.0pt"><span style="font-family:"Times New Roman",serif"></span></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="line-height:12.0pt"><span calibri="" style="font-family:"><b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.2pt">Results: </span></span></span></b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""><span style="letter-spacing:-.2pt">The results of combined analysis of variance indicated that year, location and genotype effect and genotype &times; year, gewnotype &times; location and genotype &times; year &times; location interaction effects were significant on seed yield. Cluster analysis based on the nonparametric stability statistics showed that there were three main clusters. According to mean rank of nonparametric stability parameters, Hamilton &times; Karbin, Hamilton&times;TMS and Sari &times; Charleston promising lines, and Saba cultivar with the lowest mean rank had seed yield stability. Also, the results indicated that the nonparametric statistics NPi⁽⁴⁾ and RS were associated with mean seed yield and the dynamic concept of yield stability. Therefore, these methods were suitable for selecting high yielding soybean genotypes with seed yield stability. Sari &times; Charleston, Hamilton &times; Karbin and Hamilton &times; TMS promising lines with wide adaptation were selected as superior lines, for being released as new commercial cultivars. The results of cluster analysis showed that Gorgan and Sari locations located in the same group, which indicated these locations had high predictability and repeatability.</span></span></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="line-height:12.0pt"><span calibri="" style="font-family:"><b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Conclusion: </span></span></b><span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">The results of this study, Sari &times; Charleston, Hamilton &times; Karbin and Hamilton &times; TMS promising lines were identified superior lines with high seed yield and yield stability. Therefore, these lines can be considered for further studies and as cndidates for release as new commercial soybean cultivars. </span></span></span></span></span></span></span><br> &nbsp; برهمکنش ژنوتیپ و محیط, سویا, عملکرد دانه, لاین‌های برتر و مجموع رتبه Genotype × environment interaction, Rank sum, Seed yield, Soybean and Superior lines 272 284 http://agrobreedjournal.ir/browse.php?a_code=A-10-1562-1&slc_lang=fa&sid=1 Amir Gholizadeh امیر قلی‌زاده a.gholizadeh@areeo.ac.ir 100319475328460010944 100319475328460010944 Yes Assistant Prof., Field and Horticultural Crops Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran بخش تحقیقات علوم زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، گرگان، ایران Bahram Masoudi بهرام مسعودی bmasoudi@gmail.com 100319475328460010945 100319475328460010945 No Assistant Prof., Oil Crops Research Department, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran بخش تحقیقات دانه‌های روغنی، مؤسسه تحقیقات اصلاح و تهیه نهال و بذر، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران Parsto Majidian پرستو مجیدیان parastoomajidian63@gmail.com 100319475328460010946 100319475328460010946 No Assistant Prof., Field and Horticultural Crops Science Research Department, Mazandaran Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran بخش تحقیقات علوم زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان مازندران، سازمان تحقیقات، آموزش و ترویج کشاورزی، ساری، ایران Kamal Payghamzadeh کمال پیغام‌زاده kamalpay@gmail.com 100319475328460010947 100319475328460010947 No . Assistant Prof., Field and Horticultural Crops Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran بخش تحقیقات علوم زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، گرگان، ایران Ebrahim Hezarjaribi ابراهیم هزارجریبی ehezarjaribi@yahoo.com 100319475328460010948 100319475328460010948 No Assistant Prof., Field and Horticultural Crops Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran بخش تحقیقات علوم زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، گرگان، ایران Nasrin Razmi نسرین رزمی nasrinrazmi@gmail.com 100319475328460010949 100319475328460010949 No Assistant Prof., Field and Horticultural Crops Science Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Moghan, Iran بخش تحقیقات علوم زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان اردبیل، سازمان تحقیقات، آموزش و ترویج کشاورزی، مغان، ایران