Hussain Tamoor, Akram Zahid, Shabbir Ghulam, Manaf Abdul, Ahmed Mukhtar
Department of Plant Breeding and Genetics, PMAS Arid Agriculture University, Rawalpindi 46300, Pakistan.
Department of Agronomy, PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan.
Saudi J Biol Sci. 2021 Dec;28(12):6818-6828. doi: 10.1016/j.sjbs.2021.07.056. Epub 2021 Jul 24.
Drought is a major and constantly increasing abiotic stress factor, thus limiting chickpea production. Like other crops, Kabuli Chickpea genotypes are screened for drought stress through Multi-environment trials (METs). Although, METs analysis is generally executed taking into account only one trait, which provides less significant reliability for the recommendation of genotypes as compared to multi trait-based analysis. Multi trait-based analysis could be used to recommend genotypes across diverse environments. Hence, current research was conducted for selection of superior genotypes through multi-trait stability index (MTSI) by using mixed and fixed effect models under six diverse environments. The genotypic stability was computed for all traits individually using the weighted average of absolute scores from the singular value decomposition of the matrix of best linear unbiased predictions for the genotype vs environment interaction (GEI) effects produced by a linear mixed-effect model index. A superiority index, WAASBY was measured to reflect the MPS (Mean performance and stability). The selection differential for the WAASBY index was 11.2%, 18.49% and 23.30% for grain yield (GY), primary branches per plant (PBP) and Stomatal Conductance (STOMA) respectively. Positive selection differential (0.80% ≤ selection differential ≤ 13.00%) were examined for traits averaged desired to be increased and negative (-0.57% ≤ selection differential ≤ -0.23%) for those traits desired to be reduced. The MTSI may be valuable to the plant breeders for the selection of genotypes based on many characters as being strong and simple selection process. Analysis of MTSI for multiple environments revealed that, the genotypes G20, G86, G31, G28, G116, G12, G105, G45, G50, G10, G30, G117, G81, G48, G85, G17, G32, G4, and G37 were the most stable and high yielding out of 120 chickpea genotypes, probably due to high MPS of selected traits under various environments. It is concluded that identified traits can be utilized as genitors in hybridization programs for the development of drought tolerant Kabuli Chickpea breeding material.
干旱是一个主要且不断加剧的非生物胁迫因素,从而限制了鹰嘴豆的产量。与其他作物一样,卡布利鹰嘴豆基因型通过多环境试验(METs)来筛选干旱胁迫。然而,METs分析通常仅考虑一个性状,与基于多性状的分析相比,其为基因型推荐提供的可靠性较低。基于多性状的分析可用于在不同环境中推荐基因型。因此,本研究通过多性状稳定性指数(MTSI),在六种不同环境下使用混合效应模型和固定效应模型来选择优良基因型。使用线性混合效应模型指数对基因型与环境互作(GEI)效应的最佳线性无偏预测矩阵进行奇异值分解,得到绝对得分的加权平均值,从而分别计算所有性状的基因型稳定性。测量了一个优势指数WAASBY以反映平均表现和稳定性(MPS)。对于籽粒产量(GY)、单株主枝数(PBP)和气孔导度(STOMA),WAASBY指数的选择差分别为11.2%、18.49%和23.30%。对于期望增加的平均性状,检测到正选择差(0.80%≤选择差≤13.00%),对于期望降低的性状则为负选择差(-0.57%≤选择差≤-0.23%)。MTSI对于植物育种者基于多个性状选择基因型可能是有价值的,因为它是一个强大且简单的选择过程。对多个环境的MTSI分析表明,在120个鹰嘴豆基因型中,基因型G20、G86、G31、G28、G116、G12、G105、G45、G50、G10、G30、G117、G81、G48、G85、G17、G32、G4和G37是最稳定且高产的,这可能是由于所选性状在各种环境下具有较高的MPS。得出的结论是,所确定的性状可作为杂交计划中的亲本,用于培育耐旱的卡布利鹰嘴豆育种材料。