埃塞俄比亚东南部包谷高地面包小麦(Triticum aestivum L.)基因型在产量和产量相关性状方面的遗传变异和路径系数分析

IF 1.3 Q3 AGRONOMY
Mohammedamin Abdurezake, Zelalem Bekeko, Abdi Mohammed
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引用次数: 0

摘要

小麦(Triticum aestivum L.)是解决包括埃塞俄比亚在内的世界粮食安全问题最重要的战略作物之一。通过对作物及其生产实践进行遗传改良,可以实现这一目标。在这方面,有关性状相互关联的信息对于小麦育种计划中的有效选择非常重要。在 2021/2022 生产年度,开展了一项田间试验,以估计遗传变异程度、路径分析以及产量和产量相关特征的关联性,从而筛选出理想的小麦基因型。在 Sinana 和 Agarfa 农业研究中心进行的田间试验共使用了 64 个面包小麦基因型,包括抗黄锈病的 Boru(抗性)、Hachalu(中度抗性)和作为对照的 Madda-Walabu(易感)。实验采用了简单的阿尔法格子设计。平均方差分析显示,受试基因型之间所有性状的差异都非常显著(p < 0.001)。所有研究性状的表型方差系数均高于基因型方差系数,表明受试基因型之间存在较高的遗传变异性。在基因型和表型水平上,谷物产量与成熟天数、谷物充实期、株高、穗粒数-1、千粒重和生物产量都有显著的正相关,包括两地表型水平上的穗长,以及两地基因型和表型水平上的株高、千粒重和生物产量。同样,成熟天数和籽粒灌浆期与籽粒产量也表现出显著的表型正相关。在基因型和表型水平上分析的路径系数也表明了谷物产量如何受到其他产量和产量相关性状的直接和间接影响。结果还表明,谷物产量、生物产量和谷物充实期的遗传率值较高,遗传进化程度较高,表型变异系数和基因型变异系数也较高。这意味着这些性状与谷物产量之间存在真实的关系;因此,在选育过程中应充分关注这些性状,以便进一步改良。因此,本研究表明了所研究的性状对产量和产量成分的直接和间接影响的重要性,这使得在该研究地区进行选择以提高小麦的粮食产量及其对黄锈病的遗传抗性成为可取的做法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic variability and path coefficient analysis among bread wheat (Triticum aestivum L.) genotypes for yield and yield-related traits in bale highlands, southeastern Ethiopia

Wheat (Triticum aestivum L.) is one of the most important strategic crops to overcome food security problems in the world including Ethiopia. This can be achieved through genetic improvement of the crop and its production practices. In this connection, information on the mutual association of traits is important for effective selection in wheat-breeding programs. In 2021/2022 production year, a field experiment was undertaken to estimate the extent of genetic variability, path analysis, and association of yield and yield-related characteristics for the selection of desirable wheat genotypes. A total of 64 bread wheat genotypes, including yellow rust-resistant Boru (resistant), Hachalu (moderately resistant), and Madda-Walabu (susceptible) as control, were used for the field experiment at Sinana and Agarfa Agricultural Research Centers. The experiment was laid out in a simple alpha lattice design. The mean analysis of variances showed highly significant differences (p < 0.001) for all traits among the tested genotypes. The value of the phenotypic coefficient of variance was higher than the genotypic coefficient of variance for all studied traits, indicating the presences of higher genetic variability among the tested genotypes. Grain yield had a significant positive correlation with days to maturity, grain-filling period, plant height, kernels spike−1, thousand seed weight, and biological yield at both genotypic and phenotypic levels including spike length at phenotypic levels at both locations and with plant height, thousand seed weight, and biological yield at both locations at genotypic and phenotypic levels. Similarly, days to maturity and grain-filling period also showed a significant positive phenotypic correlation with grain yield. The analyzed path coefficients at both genotypic and phenotypic levels also indicated how grain yield is influenced directly and indirectly by other yield and yield-related traits. The result also showed the existence of good heritability values along with high genetic advance, higher phenotypic coefficient of variation and genotypic coefficient of variation for grain yield, biological yield, and grain-filling period. This implies the true relationship among these traits and grain yield; therefore, due attention should be paid to such traits during selection for further improvement. Hence, the present study indicated the importance of the direct and indirect effects of the studied traits on yield and yield components which makes selection desirable for improving the grain yield of wheat and its genetic resistance against yellow rust in the study area.

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来源期刊
Agrosystems, Geosciences & Environment
Agrosystems, Geosciences & Environment Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.60
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0.00%
发文量
80
审稿时长
24 weeks
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