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创新的小黑麦(x Triticosecale Wittmack)多代选育和基因型筛选,以提高其在干旱胁迫下的稳定性。

Innovative multi-trial breeding and genotype screening in triticale (x Triticosecale Wittmack) for enhanced stability under drought stress.

机构信息

Crop and Horticulture Research Department, Kermanshah Agricultural and Natural Resources Research and Education Center, AREEO, PO Box: 67158-47339, Kermanshah, Iran.

Department of Agronomy and Plant Breding, Faculty of Agriculture, University of Kurdistan IR, Sanandaj, Iran.

出版信息

Sci Rep. 2024 Nov 16;14(1):28273. doi: 10.1038/s41598-024-79615-5.

Abstract

Triticale is a man-made crop produced by crossing wheat (Triticum aestivum) and rye (Secal cereal) with the aim of increasing the adaptability and potential production of its parental line (wheat) under environmental stresses and harsh conditions. Accordingly, the objectives of this study are as follow, a: compare different stability measurement methods regarding their suitability, b: identify most stable genotypes for cultivar release, and c: provide a freely available package in R programming language (named 'Stbidx') capable of exploiting all stability methods for similar studies. Accordingly, 30 triticale genotypes were evaluated for their stability and adaptability to changing environments during four consecutive years from 2016 to 2020 in different locations in Iran (one year in Zarghan, two years in Ghorveh, one year in Sanandaj) and under two different irrigation regimes (normal irrigation and water deficit stress conditions). All 30 triticale genotypes were cultivated in a randomized complete block design (RCBD) with three replications in each environment (12 environments: 6 trials in 2 conditions). Grain yield of triticale genotypes was measured and it applied to calculate all known stability indices (univariate methods) along with the meta-analysis models were evaluated in this study. Additionally, two novel techniques (Stability ID: SID and AMMI PC Value: APCV) were introduced and successfully tested for screening stable genotypes. These methods were introduced to improve and resolve the limitation of the previous stability methods. Meanwhile, heatmap analysis, as a proper data-mining technique, has been successfully applied for the first time to find stable genotypes in different environments in this study. The results clearly indicated a higher suitability of our introduced methods over previous multi-trials screening methods. Based on our methods and considering all environments, triticale genotypes ELTTCL21 (SID = 8.00; APCV = 28.12), ELTTCL25‌ (SID = 8.14; APCV = 30.02), ELTTCL30 (SID = 8.43; APCV = 17.00), ET-90-8 (SID = 14.00; APCV = 42.05), and Sanabad (SID = 10.57; APCV = 12.44) were among stable genotypes and they can be nominated as new cultivars. Additionally, for stress condition genotypes ELTTCL30 (stress: 380.6 g/m) and ELTTCL18 (stress: 360.79 g/m) and for normal condition genotypes ET-90-4 (normal: 849.4 g/m) and ELTTCL20 (normal:845 g/m) were respectively the most proper genotypes with the highest production to be considered for each condition separately.

摘要

黑小麦是通过将小麦(Triticum aestivum)和黑麦(Secal cereal)杂交而产生的人工作物,其目的是提高其亲本系(小麦)在环境胁迫和恶劣条件下的适应性和潜在产量。因此,本研究的目的如下:a:比较不同稳定性测量方法的适用性,b:确定最适合释放的品种,c:提供一个可用于类似研究的免费 R 编程语言包(名为“Stbidx”),能够利用所有稳定性方法。因此,在 2016 年至 2020 年的四年间,在伊朗的不同地点(扎尔甘一年、戈尔韦两年、赞詹一年)和两种不同的灌溉制度(正常灌溉和水分亏缺胁迫条件)下,对 30 个黑小麦品种进行了稳定性和适应性评估。所有 30 个黑小麦品种均采用完全随机区组设计(RCBD),每个环境 3 次重复(12 个环境:2 个条件下 6 次试验)。测定了黑小麦品种的籽粒产量,并应用于计算所有已知的稳定性指数(单变量方法),同时评估了元分析模型。此外,还引入并成功测试了两种新的技术(稳定性 ID:SID 和 AMMI PC 值:APCV),用于筛选稳定的基因型。这些方法的引入是为了改进和解决以前稳定性方法的局限性。同时,热图分析作为一种合适的数据挖掘技术,首次成功应用于本研究中不同环境下稳定基因型的发现。结果清楚地表明,我们引入的方法比以前的多试验筛选方法更适用。根据我们的方法并考虑所有环境,黑小麦品种 ELTTCL21(SID=8.00;APCV=28.12)、ELTTCL25(SID=8.14;APCV=30.02)、ELTTCL30(SID=8.43;APCV=17.00)、ET-90-8(SID=14.00;APCV=42.05)和 Sanabad(SID=10.57;APCV=12.44)是稳定的基因型,可以被提名作为新的品种。此外,对于胁迫条件的基因型 ELTTCL30(胁迫:380.6 g/m)和 ELTTCL18(胁迫:360.79 g/m)以及正常条件的基因型 ET-90-4(正常:849.4 g/m)和 ELTTCL20(正常:845 g/m)分别是每个条件下产量最高的最合适的基因型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c5e/11569190/9e69458646ac/41598_2024_79615_Fig1_HTML.jpg

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