Genetic estimation of grain yield and its attributes in three wheat (Triticum aestivum L.) crosses using six parameter model

Attri, Heena; Dey, Tuhina; Singh, B. P.; Kour, Amardeep

doi:10.1007/s12041-021-01298-y

Cited by 6 publications

(14 citation statements)

References 8 publications

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“…These shows that not only additive and dominance but also other types of gene action such as epistasis may likely contribute to the genetics of DM and yield in wheat when grown under saline conditions. These results are in close agreement with the recent report of Attri et al [ 17 ] on DM and yield in three bread wheat crosses based on normal growth conditions. Yield is the most crucial agronomic trait for selecting to abiotic stress tolerance, including salinity tolerance [ 2 ].…”

Section: Discussionsupporting

confidence: 93%

“…In contrast, the negative dominance effect obtained for PH under both normal and salinity stress treatments showed that the alleles responsible for short height were dominant over the alleles representing tall plant status [ 31 ]. Indeed, the opposite signs of h and l types of gene mode actions counterbalance each other, thus resulting in decreased heterosis [ 17 , 31 ]. Our data obtained from salinity-stress conditions are consistent with a recent study using a six-parameter model in wheat that reported significant duplicate epistasis for PH and yield in normal conditions [ 17 ].…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, the opposite signs of h and l types of gene mode actions counterbalance each other, thus resulting in decreased heterosis [ 17 , 31 ]. Our data obtained from salinity-stress conditions are consistent with a recent study using a six-parameter model in wheat that reported significant duplicate epistasis for PH and yield in normal conditions [ 17 ]. Indeed, the differences in gene action types between normal and stress conditions indicate that a distinct set of genes are activated to protect the plant from stress when a plant is subjected to salinity stress [ 2 ].…”

Section: Discussionmentioning

confidence: 99%

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Genetic analysis of salinity tolerance in wheat (Triticum aestivum L.)

et al. 2022

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Understanding the genetics of salt tolerance is of utmost need to combat the rising prevalence of soil salinity through employing tolerant cultivars. The current study was carried out to investigate the quantitative genetic basis of agronomical and physiological-related traits of salinity-stressed plants using seven generations (parental cultivars, F1, F2, F3, BC1, and BC2) of wheat grown in the field under normal and saline conditions. The combined analysis of variance showed highly significant effects of salinity and genotypes (generations) on all the traits. The scaling tests did not support the three-parameter model (additive-dominance model); hence, the six-parameter model was used to assess the genetic effects governing the traits in this study. The epistatic gene effects were crucial, as were additive and dominance gene effects for plant height, K/Na, and yield in salinity stress conditions. The highest heritability was observed for total chlorophyll, carotenoid, SPAD chlorophyll, and K/Na ratio in saline conditions. The additive genetic variance was more important than the dominance variance for grain weight, K, K/Na in salinity conditions. The findings of the current study may have important implications in the quantitative genetics of salinity tolerance and the development of cultivars tolerant to salinity in wheat.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Genetic analysis of salinity tolerance in wheat (Triticum aestivum L.)

et al. 2022

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“…Therefore, in general, estimates of heritability (h 2 Bs ) and genetic advance (GA) were higher under optimal irrigation than under water stress conditions for the most of studied traits (Al-Naggar et al, 2020), indicating the effects of genotype × environment interaction. Also, high heritability coupled with high to moderate genetic advance is a percent of the mean for DH, NS/P, PH, SL, GY/P, and 1000-grain weight (Attri et al, 2021;Channa, 2022). The genetic advance was the highest for GY/P followed by the number of productive tillers per plant and 1000-grain weight (Al-Naggar et al, 2020).…”

Section: Discussionmentioning

confidence: 97%

“…The h 2 Bs estimates were more than 50% for all traits in F 3 generation for all cases. Significant estimates of h 2 Bs are associated with higher genetic variability, higher selective accuracy, and better possibilities for achievement in selecting wheat genotypes with greater grain yield productivity (Attri et al, 2021;Channa, 2022). Al-Naggar et al (2020) investigated heritability estimates are higher under full watering than those under drought for DH, S/P, G/S, and GY/P.…”

Section: Discussionmentioning

confidence: 99%

Characterization of Bread Wheat Segregating Populations Under Optimum Irrigation and Water Stress Conditions

SWELAM¹,

SALEM²,

HASSAN³

et al. 2022

SABRAOJBG

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Water scarcity is currently threatening almost every country in the arid regions. Using advanced generations, breeding can help in the development of improved bread wheat genotypes for adaptation to abiotic and biotic stresses. The pedigree selection was practiced on two bread wheat crosses (Sids 12 × Line 44) and (Line 20 × Sakha 93) during two seasons (2017−2018 and 2018–2019) under full irrigation (optimal conditions) and limited irrigation (drought-stressed) conditions at Kafer El-Hamam Agriculture Station, Agricultural Research Center, Giza, Egypt. The results indicated significant differences in two crosses of F2 and F3 families for all the studied traits under optimal irrigation and water stress. The estimates of phenotypic coefficients of variability (PCV) were slightly higher than those of genotypic coefficients of variability (GCV) for all the traits in two crosses of both water regimes. Broad-sense heritability (h2Bs) estimates, accompanied with high magnitudes of the genetic advance (GA), were higher under optimal irrigation than water stress in F2 and F3 generations of two crosses. A positive correlation was recorded between spikes per plant and grain yield in both water treatments of two crosses. A positive correlation (r) was revealed between offsprings (F3) and their parents (F2) in yield and its components under optimal irrigation and water stress conditions. Hence, the hybridization followed by selection under optimal and drought stress conditions have been a demand to accelerate the genetic gain of wheat grain yield.

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Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment

Kong

Zhang³

et al. 2023

BMC Genomics

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Background Grain yield is a complex and polygenic trait influenced by the photosynthetic source-sink relationship in wheat. The top three leaves, especially the flag leaf, are considered the major sources of photo-assimilates accumulated in the grain. Determination of significant genomic regions and candidate genes affecting flag leaf size can be used in breeding for grain yield improvement. Results With the final purpose of understanding key genomic regions for flag leaf size, a meta-analysis of 521 initial quantitative trait loci (QTLs) from 31 independent QTL mapping studies over the past decades was performed, where 333 loci eventually were refined into 64 meta-QTLs (MQTLs). The average confidence interval (CI) of these MQTLs was 5.28 times less than that of the initial QTLs. Thirty-three MQTLs overlapped the marker trait associations (MTAs) previously reported in genome-wide association studies (GWAS) for flag leaf traits in wheat. A total of 2262 candidate genes for flag leaf size, which were involved in the peroxisome, basal transcription factor, and tyrosine metabolism pathways were identified in MQTL regions by the in silico transcriptome assessment. Of these, the expression analysis of the available genes revealed that 134 genes with > 2 transcripts per million (TPM) were highly and specifically expressed in the leaf. These candidate genes could be critical to affect flag leaf size in wheat. Conclusions The findings will make further insight into the genetic determinants of flag leaf size and provide some reliable MQTLs and putative candidate genes for the genetic improvement of flag leaf size in wheat.

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Genetic estimation of grain yield and its attributes in three wheat (Triticum aestivum L.) crosses using six parameter model

Cited by 6 publications

References 8 publications

Genetic analysis of salinity tolerance in wheat (Triticum aestivum L.)

Genetic analysis of salinity tolerance in wheat (Triticum aestivum L.)

Characterization of Bread Wheat Segregating Populations Under Optimum Irrigation and Water Stress Conditions

Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment

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