Department of Plant Breeding and Genetics, Faculty of Agricultural Sciences, Ghazi University Dera Ghazi Khan, Dera Ghazi Khan, Pakistan.
Soil and Water Testing Laboratory for Research, Dera Ghazi Khan, Punjab, Pakistan.
PLoS One. 2022 Mar 18;17(3):e0265344. doi: 10.1371/journal.pone.0265344. eCollection 2022.
Wheat (Triticum aestivum L.) is an important staple food crop for one third of global population and important crop for securing future food security. Rapid changes in the climate on global scale could be a threat for future food security. This situation urges plant breeders to explore the genetic potential of existing wheat germplasm. This study screened forty diverse wheat genotypes for their yield under two different agroclimatic conditions, i.e., Layyah and Dera Ghazi Khan, Pakistan. Data relating to plant height, peduncle length, flag leaf area, spike length, number of spikelets, number of grains per spike, thousand grain weight, chlorophyll content and grain yield were recorded. The tested wheat genotypes significantly differed for grain yield and related traits. Grain yield was positively correlated with plant height, spike length, spike number, flag leaf length, number of grains per spike, and 1000-grain weight. Biplot obtained from the cluster analysis by Euclidean method grouped the studied genotypes in 3 different groups. The genotypes exhibited 10.77% variability within quadrants, whereas 72.36% variability was recorded between quadrants according to clustering. Dendrogram grouped the tested genotypes into two main clusters. The main cluster "I" comprised of 2 genotypes, i.e., 'Seher-2006' and 'AS-2002'. The cluster "II" contained 38 genotypes based on Euclidian values. Genotypes within same cluster had smaller D2 values compared to those belonging to other clusters. The genetic relationships of genotypes provide useful information for breeding programs. Overall, the results revealed that genotypes 'Line 9733', 'Bhakar-2002', 'Line A9' and 'SYN-46' had better yield and yield stability under climatic conditions of southern Punjab. Therefore, these genotypes could be recommended for general cultivation in the study region.
小麦(Triticum aestivum L.)是全球三分之一人口的重要主食作物,也是保障未来粮食安全的重要作物。全球范围内气候的快速变化可能对未来的粮食安全构成威胁。这种情况促使植物育种者探索现有小麦种质资源的遗传潜力。本研究在巴基斯坦拉耶亚和德拉加齐汗两个不同农业气候条件下,对 40 个不同小麦基因型进行了产量筛选。记录了与株高、穗柄长度、旗叶面积、穗长、小穗数、穗粒数、千粒重、叶绿素含量和籽粒产量有关的数据。测试的小麦基因型在产量和相关性状上存在显著差异。籽粒产量与株高、穗长、穗数、旗叶长、穗粒数和千粒重呈正相关。欧几里得聚类分析得到的双标图将研究的基因型分为 3 个不同组。根据聚类,基因型在象限内表现出 10.77%的变异性,而在象限间表现出 72.36%的变异性。聚类图将测试的基因型分为两个主要聚类。主聚类“ I”由 2 个基因型组成,即“ Seher-2006”和“ AS-2002”。聚类“ II”包含 38 个基于欧几里得值的基因型。同一聚类内的基因型的 D2 值与属于其他聚类的基因型的 D2 值相比更小。基因型的遗传关系为育种计划提供了有用的信息。总的来说,结果表明,基因型“ Line 9733”、“ Bhakar-2002”、“ Line A9”和“ SYN-46”在旁遮普南部的气候条件下具有更好的产量和产量稳定性。因此,这些基因型可以在研究区域内推荐用于一般种植。