Characterization of Bread Wheat Genotypes Using Spike Related Traits for Sustainable Yield Potential

H. Ahmed, N. Fatima, Anns Faisal, A. Ullah, Muhammad Amjad Ali, M. Ameen, Muhammad Irfan, Muhammad Imran
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Abstract

Wheat is a cereal that is majorly consumed around the world. There is a dire need for the advancement of wheat cultivars that are producing high yield. The experiment was conducted to characterize the spike related traits of wheat genotypes. Twenty wheat genotypes comprising three replications were experimented using randomized complete block design. The difference was significant among the studied twenty genotypes revealed by analysis of variance. Correlation Pearson’s revealed that the number of grains per spike (GPS) has positive relationship among all the studied traits such as the number of tillers per plant (NTP), spike weight (SWT), spike length (SL), and grain yield per plant (GYP). The GYP has a strong positive association with GPS (0.81**), GYS (0.78**), and SL (0.68**). The biological yield had a non-significant association with GYS (0.28) and GPS (0.13). All studied attributes have variations in the mean values which were represented by Radar analysis. The genotype Sadiq-21 was the best performing genotype among the SWT, GYS and BY followed by genotype Nawab-21 which performed best among the NTP, GYS and GPS and genotype Ghazi-19 which performed good among BY, SWT and GPS. The genotypes that were among the worst performing were Suren-10, Galaxy-13 and Borluag-16. The result of our study showed grain yield was mainly affected by NTP, GYS and GPS. For the improvement of wheat yield, these attributes must be improved for selection so that the yield of the wheat can be increased because these have a strong association with the grain yield.
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利用穗相关性状对面包小麦基因型的持续产量潜力进行鉴定
小麦是世界上主要消费的谷物。迫切需要改进高产小麦品种。对小麦穗部相关性状进行了研究。采用随机完全区组设计,对20个小麦基因型进行3个重复的试验。方差分析表明,所研究的20个基因型间差异显著。相关Pearson分析表明,单株分蘖数(NTP)、穗重(SWT)、穗长(SL)和单株产量(GYP)与穗粒数(GPS)呈显著正相关。GYP与GPS(0.81**)、GYS(0.78**)、SL(0.68**)呈正相关。生物产量与GYS(0.28)和GPS(0.13)无显著相关。所有研究属性的平均值都有变化,这些变化由雷达分析表示。Sadiq-21基因型在SWT、GYS和BY中表现最好,其次是Nawab-21基因型在NTP、GYS和GPS中表现最好,Ghazi-19基因型在BY、SWT和GPS中表现最好。表现最差的基因型是Suren-10、Galaxy-13和Borluag-16。研究结果表明,NTP、GYS和GPS对粮食产量的影响最大。为了提高小麦产量,必须在选择时对这些性状进行改良,以提高小麦产量,因为这些性状与籽粒产量有很强的相关性。
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