数字农科院2.0

Assessing genetic diversity for some Pakistani bread wheat (Triticum aestivum L.) genotypes under drought stress based on yield traits

文献类型： 外文期刊

作者： Khan, Mueen Alam;Yousaf, Malik Waqar;Ahmed, Hafiz Ghulam Muhu-Din;Fatima, Noor;Alam, Beena

作者机构：

关键词： Correlation;Drought;Variability;Wheat (Triticum aestivum L.);Yield

期刊名称： GENETIC RESOURCES AND CROP EVOLUTION

ISSN： 0925-9864

年卷期： 2024 年

页码：

收录情况： SCIE（2024版）

摘要： Drought is one of the most influential abiotic stress factors affecting bread wheat productivity worldwide. Therefore, the current experiment was conducted to evaluate the genetic variability presenting 19 bread wheat genotypes under two environments (normal and drought). Under normal conditions, grain yield per plant (GYP) exhibited the highest positive significant correlation with the number of grains per spike (NGS) (0.90***), biological yield (BY) (0.88***), 1000-grain weight (TGW) (0.83***), harvest index (HI) (0.77***), number of spikelets per spike (NSP) (0.52***), arithmetic mean diameter (AMD) (0.52***), grain mean diameter (GMD) (0.50***), equivalent mean diameter (EMD) (0.50***), grain length (GL) (0.46***), grain width (GW) (0.46***), grain thickness (GT) (0.34**), and spike length (SL) (0.27*). However, GYP showed a negative yet insignificant correlation with spike compactness (SC) (- 0.18) and peduncle length (PL) (- 0.08). Under drought stress, GYP exhibited a significantly positive association with BY (0.94***), HI (0.92***), NGS (0.86***), TGW (0.63***), aspect ratio (AR) (0.49***), grain sphericity (SPH) (0.40**), GW (0.39**), NSP (0.38***), and SL (0.28*). Principal component analysis (PCA) revealed that the first 4 PCs explained 88.9% and 87.4% of the variability under normal and drought-stress environments, respectively. Furthermore, cluster heat map classified genotypes into four different clusters. Under normal conditions, Cluster 4 contained the highest-performing genotypes for most of the traits, indicating their genetic relatedness. In contrast, under drought stress, the most tolerant genotype, G19, was present in Cluster 3. Consequently, the identified traits hold substantial significance as selection indicators in breeding programs to develop drought-resilient genotypes.

分类号：

  • 相关文献

[1]Multivariate and Association Analyses of Quantitative Attributes Reveal Drought Tolerance Potential of Wheat (Triticum aestivum L.) Genotypes. Khan, Mueen Alam,Akram, Muhammad Waseem,Iqbal, Muhammad,Ahmed, Hafiz Ghulam Muhu-Din,Rehman, Abdul,Iqbal, Hafiz Syed M. Arslan,Alam, Beena. 2022

[2]Impact of Pre-Anthesis Drought Stress on Physiology, Yield-Related Traits, and Drought-Responsive Genes in Green Super Rice. Hassaan Ahmad,Syed Adeel Zafar,Muhammad Kashif Naeem,Sajid Shokat,Safeena Inam,Malik Attique ur Rehman,Shahzad Amir Naveed,Jianlong Xu,Zhikang Li,Ghulam Muhammad Ali,Muhammad Ramzan Khan. 2022

[3]The effect of waterlogging on yield and seed quality at the early flowering stage in Brassica napus L.. Xu, Mingyue,Ma, Haiqing,Zeng, Liu,Cheng, Yong,Lu, Guangyuan,Xu, Jinsong,Zhang, Xuekun,Zou, Xiling,Ma, Haiqing.

[4]Contribution of Drought to Potential Crop Yield Reduction in a Wheat-Maize Rotation Region in the North China Plain. Hu Ya-nan,Xu Yin-long,Pan Jie,Hu Ya-nan,Tang Hua-jun,Liu Ying-jie. 2014

[5]Over-expression of phosphoenolpyruvate carboxylase cDNA from C4 millet (Seteria italica) increase rice photosynthesis and yield under upland condition but not in wetland fields. Ding, Zai-Song,Huang, Su-Hua,Zhou, Bao-Yuan,Sun, Xue-Fang,Zhao, Ming. 2013

[6]PERFORMANCE OF DIVERSE WHEAT GENETIC STOCKS UNDER MOISTURE STRESS CONDITION. Seher, Misbah,Shabbir, Ghulam,Rasheed, Awais,Kazi, Alvina Gul,Mahmood, Tariq,Mujeeb-Kazi, Abdul. 2015

[7]QTL analysis across multiple environments reveals promising chromosome regions associated with yield-related traits in maize under drought conditions. Xinmin Hu,Guihua Wang,Xuemei Du,Hongwei Zhang,Zhenxiang Xu,Jie Wang,Guo Chen,Bo Wang,Xuhui Li,Xunji Chen,Junjie Fu,Jun Zheng,Jianhua Wang,Riliang Gu,Guoying Wang. 2021

[8]Quantifying nitrogen leaching response to fertilizer additions in China's cropland. Gao, Shuoshuo,Zhou, Feng,Yang, Hui,Tao, Shu,Piao, Shilong,Shang, Ziyin,Xu, Peng,Zheng, Chunmiao,Cao, Wei,Zhao, Yue,Ji, Xiaoyan,Chen, Minpeng,Chen, Minpeng.

[9]Potential impacts of climate change and climate variability on China's rice yield and production. Xiong, Wei,Lin, Erda,Xiong, Wei,Lin, Erda,Conway, Declan,Holman, Ian.

[10]Remote sensing of crop production in China by production efficiency models: models comparisons, estimates and uncertainties. Tao, FL,Yokozawa, M,Zhang, Z,Xu, YL,Hayashi, Y.

[11]A review of global products of air-sea turbulent heat flux: accuracy, mean, variability, and trend. Ronglin Tang,Yizhe Wang,Yazhen Jiang Meng Liu,Meng Liu,Zhong Peng,Yongxin Hu,Lingxiao Huang,Zhao-Liang Li. 2024

[12]Climatic Constraints of Spring Phenology and Its Variability on the Mongolian Plateau From 1982 to 2021. Zhihui Yuan,Gang Bao,Altantuya Dorjsuren,Ayisha Oyont,Jiquan Chen,Fei Li,Gang Dong,Enliang Guo,Changliang Shao,Lingtong Du. 2024

[13]The Major Factors Causing The Microspore Abortion Of Genic Male Sterile Mutant Nwms1 In Wheat (Triticum Aestivum L.). Xu, Qiaoqiao,Jiao, Zhixin,An, Junhang,Li, Junchang,Zhang, Jing,Li, Huijuan,Li, Qiaoyun,Niu, Hao,Niu, Jishan,Jiang, Yumei. 2019

[14]HapIII of TaSAP1-A1, a Positively Selected Haplotype in Wheat Breeding. Chang Jian-zhong,Hao Chen-yang,Chang Xiao-ping,Zhang Xue-yong,Jing Rui-lian. 2014

[15]Factorial cross analysis of pre-harvest sprouting resistance in white wheat. Jiang, GL,Xiao, SH. 2005

[16]Mapping QTLs for stomatal density and size under drought stress in wheat (Triticum aestivum L.). Wang Shu-guang,Jia Shou-shan,Sun Dai-zhen,Fan Hua,Chang Xiao-ping,Jing Rui-lian. 2016

[17]Development of near-infrared reflectance spectroscopy models for quantitative determination of water-soluble carbohydrate content in wheat stem and glume. Wang, Zhenghang,Liu, Xiulin,Chang, Xiaoping,Jing, Ruilian,Wang, Zhenghang,Liu, Xiulin,Li, Runzhi.

[18]Length of internode and spike: how do they contribute to plant height of wheat at an individual QTL level?. Wang, L.,Cui, F.,Ding, A. M.,Li, J.,Zhao, C. H.,Li, X. F.,Feng, D. S.,Wang, H. G.,Wang, L.,Wang, J. P.,Cui, F.,Ding, A. M.,Li, J..

[19]Double-stranded RNA in the biological control of grain aphid (Sitobion avenae F.). Wang, Dahai,Sun, Yongwei,Wang, Hui,Xia, Lanqin,Wang, Dahai,Liu, Qi,Li, Xia.

[20]The Mirna-Mrna Networks Involving Abnormal E.nergy And Hormone Metabolisms R estrict Tillering In A Wheat Mutant Dmc. Ni, Yongjing,He, Ruishi,Jiao, Zhixin,An, Junhang,Zheng, Yongxing,Jiang, Yumei,Li, Huijuan,Li, Junchang,Niu, Jishan,Niu, Hao,Li, Qiaoyun,Zhang, Jing. 2019

作者其他论文 更多>>