雨养环境下鸭茅基因型牧草产量的稳定性

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-11-28 DOI:10.1071/rj23015
Ali Vosough, Ali Ashraf Jafari, Ezzat Karami, Hooshmand Safari, Reza Talebi
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引用次数: 0

摘要

鸡蹄草(Dactylis glomerata L.)是一种冷季多年生草,自然生长在伊朗的半草原牧场。近年来,由于气候变化,加上大量放牧,牧场生产力下降。本研究旨在分析伊朗4个雨养环境(Ardebil、Zanjan、Hamadan和Kermanshah)中36个鸡蹄基因型饲料干物质(DM)产量的稳定性。在每个地点,采用随机完全区设计(RCBD)进行实验,在2年内进行3次重复。综合方差分析(ANOVA)结果显示,环境(E)、基因型(G)和GE互作对DM产量有显著影响(P < 0.01)。E、G和GE交互效应分别占总方差的33.19%、17.98%和40.52%。采用回归稳定性、可加性主效应和乘法相互作用(AMMI)、基因型主效应(G)和基因型-环境相互作用(GGE)双图分析研究了基因型-环境相互作用(GGE)。回归分析结果表明,G2、G3、G11和G12基因型在各位点的总体稳定性较好,且斜率接近统一,产量较高。此外,一些基因型是专门为低和高绩效环境鉴定的。根据AMMI-2、IPC1与IPC2双图,基因型G2、G10、G11、G14和G15位于双图原点附近,产量较高,在所有环境中均表现出总体稳定性。确定了适合不同环境的最佳基因型。GGE双标图显示,基因型G2、G3、G11和G12在所有环境中都更稳定。因此,在所有分析方法的基础上,确定了3个本地基因型G2 (Karaj)、G3 (Marand)和G11 (Qazvin),以及一个来自美国的外源基因型G14(来自美国)是最适合在研究地点和类似地区选育良种和栽培的基因型。
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Herbage yield stability of cocksfoot (Dactylis glomerata L.) genotypes across rain-fed environments

Cocksfoot (Dactylis glomerata L.) is a cool-season perennial grass that naturally grows in semi-steppe rangelands in Iran. In recent years, as a result of climate change, coupled with high livestock grazing, rangeland productivity has decreased. This study aimed to analyse the stability of forage dry matter (DM) production of 36 cocksfoot genotypes across four rain-fed environments (Ardebil, Zanjan, Hamadan, and Kermanshah) in Iran. At each location, an experiment was conducted using a randomised complete-block design (RCBD) with three replications over 2 years. The result of combined analysis of variance (ANOVA) across locations showed significant effects of environment (E), genotype (G), and GE interaction (P < 0.01) for DM yield. The E, G and GE interaction effects accounted for 33.19%, 17.98% and 40.52% of the total variance respectively. The GE interaction was subsequently investigated using regression stability, Additive Main effects and Multiplicative Interaction (AMMI), and genotype main effect (G) plus genotype–environment (GE) interaction (GGE) biplot analysis. According to the regression method, genotypes G2, G3, G11 and G12 with a slope close to unity, coupled with high production, had good general stability in all locations. In addition, some genotypes were specifically identified for poor- and high-performing environments. According to the AMMI-2, IPC1 vs IPC2 biplot, genotypes G2, G10, G11, G14 and G15, placed close to the origin of the biplot coupled with higher production, showed general stability in all environments. The best genotypes for the respective environments were also determined. Using the GGE biplot, genotypes G2, G3, G11 and G12 were more stable in all environments. Therefore, on the basis of all analytical methods, three local genotypes, G2 (Karaj), G3 (Marand) and G11 (Qazvin), and a foreign genotype, G14 (from, USA), were identified as most suitable genotypes for breeding improved varieties and cultivation in the study locations and similar areas.

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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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