Multivariate analysis for various quantitative traits in wheat advanced lines

Ali, Naushad; Hussain, Izhar; Ali, Sardar; Khan, Naqib Ullah; Hussain, Ijaz

doi:10.1016/j.sjbs.2020.10.011

Cited by 16 publications

(10 citation statements)

References 8 publications

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“…The Galaxy-2013 had maximum N and K which indicate that this cultivar had better nutrient uptake particularly N and K which improved the final grain quality in terms of better protein contents compared to other cultivars (Table 4). The currents outcomes are same with results of Migliorini et al (2016) and Ali et al (2021) they also noticed significant differences among cultivars for the qualitative traits. Means with different letters differed at 0.05 P level.…”

supporting

confidence: 82%

Assessment for Agronomic and Grain Qualitative Attributes of Wheat Cultivars under Agro-ecological Conditions of Faisalabad

Dawood¹,

Sarwar²,

Chattha³

et al. 2021

JIS

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supporting

confidence: 82%

Assessment for Agronomic and Grain Qualitative Attributes of Wheat Cultivars under Agro-ecological Conditions of Faisalabad

Dawood¹,

Sarwar²,

Chattha³

et al. 2021

JIS

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“…Since the studied variables, i.e., SSR markers, grain yield, and stripe rust scores, had different measurement units, all variables were standardized [27]. Then dendrogram was constructed utilizing Ward's method based on squared Euclidean distance [28].…”

Section: Discussionmentioning

confidence: 99%

Impact of Stripe Rust Resistance Alleles on Wheat Grain Yield Using Landraces and Improved Accessions

IS¹

2021

annagriccropsci

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Stripe rust is one of the most devastating biotic stresses to cause grain yield losses in wheat. In the current study, 227 imported accessions, and six widely grown modern cultivars (Sids14, Sids12, Misr1, Misr2, Giza171, and Gimmiza9), were used. All plant materials were planted in the field and evaluated for stripe rust resistance and grain yield. Five Simple Sequence Repeats (SSR) markers Xpsp3000, Xbarc8, Xgwm419, Xwmc44, and Xbarc32, respectively, are associated with five essential stripe rust resistance genes Yr10, Yr15, Yr26, Yr29, and Yr59, were also used. The results indicated a highly positive and significant correlation between grain yield and stripe rust resistance. Furthermore, as the number of stripe rust resistance alleles increased, both grain yield and stripe rust resistance increased. Out of the 233 accessions used, 11 accessions were found to contain the five resistance genes. The identified resistant accessions could be used as a gene source to enhance stripe rust resistance in wheat breeding programs. SSR markers used in the current study effectively capture a substantial part of the phenotypic variation caused by stripe rust. Thus, these five markers could be used effectively in marker-assisted selection for stripe rust resistance.

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“…The hierarchical cluster analysis is a simple way of grouping the set of selected genotypes as per their similarities based on 15 morphological variables. Multivariate techniques have been used to estimate the genetic divergence between accessions, like biometric models estimated by the Euclidean Distance and hierarchical grouping methods (Ali et al, 2021). Hierarchical clustering techniques have long been the most popular clustering method with Ward's method and average linkage probably being the best available (Awan et al, 2015).…”

Section: Multivariate Hierarchical Clustering Of Genotypesmentioning

confidence: 99%

“…W heat, an important staple food crop, is preferred over rice and maize as a source of protein in low and middle-income nations (Sansaloni et al, 2020). Being the staple food crop of many countries with diverse climatic conditions, wheat varieties must have enough variability to tolerate to pests, pathogens and abiotic stresses (Ali et al, 2021). Wheat, consumed as whole grains boiled or as bread from its flour in many ways, is not only a staple source of carbohydrates and nutrients for around 40% of the world's population providing 20% of the daily protein and food calories (Lawati et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Multivariate Biplot Analysis for the Diversity in Bread Wheat Genotypes (Triticum aestivum L.)

.¹,

Singh²,

Poonia³

et al. 2022

IJBSM

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A field study was conducted during (November–April, 2017–2018) at CCSHAU, Hisar, Haryana, Indiaxxx to evaluate wheat genotypes for diversity analysis by multivariate and biplot analysis.xxx The morphological and agronomic attributes of wheat have been evaluated to measure genetic variation and their close relatives. Diversity analysis of bread wheat genotypes was deciphered by fifteen morphological traits utilizing multivariate hierarchical clustering technique and biplot analysis. Multivariate analyses have been applied to measure the diversity in wheat accessions and to evaluate the relative contributions of morphological traits to the total variability in a collection. Recent analyses enable accessions to be classified into clusters as per their similarity indexes. Good amount of variability had been observed for most of the traits. Maximum range was observed for flag leaf area and plant height. The positive correlation of the grain yield with various traits ensured indirect selection for yield can be done by selecting those characters. Significant positive correlation of grain yield exhibited with number of grains spike-1, thousands grain weight and plant height. Multivariate Hierarchical clustering technique by Ward’s method expressed three clusters with 20.4, 20.5 and 59.1% of total genotypes. The first principal component accounted for 29.4% with major traits number of tillers plant-1, flag leaf area, biological yield plant-1, grain yield plant-1, weight of grain ear-1, flag leaf length. The contribution of second was 15.7% with major six traits number of grains ear-1, ear weight, weight of grain ear-1, number of spikelet ear-1, grain yield plant-1 and number of tillers plant-1.

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Multivariate analysis for various quantitative traits in wheat advanced lines

Cited by 16 publications

References 8 publications

Assessment for Agronomic and Grain Qualitative Attributes of Wheat Cultivars under Agro-ecological Conditions of Faisalabad

Assessment for Agronomic and Grain Qualitative Attributes of Wheat Cultivars under Agro-ecological Conditions of Faisalabad

Impact of Stripe Rust Resistance Alleles on Wheat Grain Yield Using Landraces and Improved Accessions

Multivariate Biplot Analysis for the Diversity in Bread Wheat Genotypes (Triticum aestivum L.)

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