Assessing the Impact of Nitrogen Fertilization, Variety Selection, Year and Their Interaction on Wheat Yield and Yield Components DOI Creative Commons
Oussama Hnizil,

Aziz Baidani,

Ilham Khlila

и другие.

Nitrogen, Год журнала: 2024, Номер 5(2), С. 266 - 287

Опубликована: Апрель 9, 2024

This five-year study (2016–2021) in Morocco’s Mediterranean climate investigated the effect of nitrogen fertilization and genotypic selection on wheat yield associated components. Utilizing a split-plot design, assessed five genotypes—’Faraj’, ‘Luiza’, ‘Itri’, ‘Karim’ ‘Nassira’—under three application rates (120, 60 0 kg/ha) across thirty plots with two replicates. Interactions between year showed marked significance (p = 0.001), biomass 0.002), TKW 0.003) Spk/m2 underscoring variability optimal different years. Additionally, significant interactions variety were observed for 0.001) G/m2 indicating performance varieties The ‘Itri’ genotype highest 2017, while ‘Luiza’ was pre-eminent 2018, producing most biomass. ‘Faraj’ demonstrated consistent superiority during 2019 2020. Our integrated principal component analysis quadratic models elucidated that an intermediate rate kg/ha (N2) particularly advantageous genotypes. These findings highlight substantial impact informed level adjustment optimization.

Язык: Английский

QTL analysis of spike traits and KASP marker validation for basal sterile spikelet number in wheat DOI Creative Commons

Pengbo Song,

Yueyue Li, Kaoping Song

и другие.

BMC Plant Biology, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 10, 2025

Spike traits play a pivotal role in determining wheat yield. In this study, two recombinant inbred line (RIL) populations were employed to identify quantitative trait loci (QTLs) for spike length (SL), spikelet number per (SNS), and basal sterile (BSSN). A total of 30 QTLs identified, including 7 major-effect that exhibited stability across multiple environments. Among these, novel discovered: QBssn.A-3 A.3 QBssn.AV-5B.2. Furthermore, it was found the combination these with other major effect had no impact on thousand-kernel weight (TKW). For A.3, Kompetitive Allele-Specific PCR (KASP) marker developed validated based its physical location. Additionally, candidate genes within intervals QBssn.AV-5B.2 predicted, primarily associated spike. This study provides foundation future map-baesd cloning related traits, breeding high-yield varieties.

Язык: Английский

Процитировано

0

Joint linkage and association analysis identifies genomic regions and candidate genes for yield-related traits in wheat DOI Creative Commons

Lei Zhuang,

Li-Feng Du, Haixia Liu

и другие.

Theoretical and Applied Genetics, Год журнала: 2025, Номер 138(5)

Опубликована: Май 1, 2025

Twenty-six QTLs associated with yield-related traits in wheat were identified through joint linkage and association analysis, TraesCS5A03G0002500 being selected as a candidate gene for QGl.caas-5A.1. As major staple crop worldwide, continuously increasing yield is crucial ensuring food security. Wheat influenced by multiple traits, elucidating the genetic basis of lays foundation future cloning molecular mechanism studies. In this study, recombinant inbred line (RIL) population derived from 292 lines Hengguan 35/Zhoumai 18 was genotyped Affymetrix 660 K SNP array. Combined phenotype RIL 13 environments, analysis six including plant height, grain number per spike, thousand-grain weight, length, width, thickness conducted. A total 262 quantitative trait locus (QTLs) (logarithm odds [LOD] > 3) across 21 chromosomes, which 50 repeatedly detected more than three environments. Numerous harbored cloned genes overlapped those reported previous Subsequently, genome-wide study (GWAS) data advanced backcross-nested mapping plus inter-crossed (AB-NAMIC) revealed 26 overlapping genomic regions. Notably, QGl.caas-5A.1 length on chromosome 5A both AB-NAMIC populations, gene. kompetitive allele-specific PCR (KASP) marker based variant [A/G] developed validated natural containing 350 accessions. Taken together, these results provide valuable information fine future.

Язык: Английский

Процитировано

0

Identification of major QTLs for yield-related traits with improved genetic map in wheat DOI Creative Commons

Feifei Ma,

Yunfeng Xu, Ruifang Wang

и другие.

Frontiers in Plant Science, Год журнала: 2023, Номер 14

Опубликована: Март 17, 2023

Introduction Identification of stable major quantitative trait loci (QTLs) for yield-related traits is important yield potential improvement in wheat breeding. Methods In the present study, we genotyped a recombinant inbred line (RIL) population using Wheat 660K SNP array and constructed high-density genetic map. The map showed high collinearity with genome assembly. Fourteen were evaluated six environments QTL analysis. Results Discussion A total 12 environmentally QTLs identified at least three environments, explaining up to 34.7% phenotypic variation. Of these, QTkw-1B.2 thousand kernel weight (TKW), QPh-2D.1 ( QSl-2D.2/QScn-2D.1 ) plant height (PH), spike length (SL) spikelet compactness (SCN), QPh-4B.1 PH, QTss-7A.3 number per (TSS) detected five environments. set Kompetitive Allele Specific PCR (KASP) markers converted based on above used genotype diversity panel comprising 190 accessions across four growing seasons. ), successfully validated. Compared previous studies, should be novel QTLs. These results provided solid foundation further positional cloning marker-assisted selection targeted breeding programs.

Язык: Английский

Процитировано

9

Sequencing 4.3 million mutations in wheat promoters to understand and modify gene expression DOI Creative Commons
Junli Zhang,

Hongchun Xiong,

Germán Burguener

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2023, Номер 120(38)

Опубликована: Сен. 13, 2023

Wheat is an important contributor to global food security, and further improvements are required feed a growing human population. Functional genetics genomics tools can help us understand the function of different genes engineer beneficial changes. In this study, we used promoter capture assay sequence 2-kb regions upstream all high-confidence annotated from 1,513 mutagenized plants tetraploid wheat variety Kronos. We identified 4.3 million induced mutations with accuracy 99.8%, resulting in mutation density 41.9 per kb. also remapped Kronos exome reads Chinese Spring RefSeq v1.1, 4.7 mutations, predicted their effects on genes. Using these predictions, 59% more nonsynonymous substitutions 49% truncation than original study. To show biological value dataset, selected two within VRN-A1 vernalization gene. Both located transcription factor binding sites, significantly altered expression, one reduced number spikelets spike. These publicly available sequenced mutant datasets provide rapid inexpensive access variation promoters coding most be modulate gene expression phenotypes for both basic commercial applications, where limited governmental regulations facilitate deployment. collections, together editing, valuable accelerate functional genetic studies economically crop.

Язык: Английский

Процитировано

9

Assessing the Impact of Nitrogen Fertilization, Variety Selection, Year and Their Interaction on Wheat Yield and Yield Components DOI Creative Commons
Oussama Hnizil,

Aziz Baidani,

Ilham Khlila

и другие.

Nitrogen, Год журнала: 2024, Номер 5(2), С. 266 - 287

Опубликована: Апрель 9, 2024

This five-year study (2016–2021) in Morocco’s Mediterranean climate investigated the effect of nitrogen fertilization and genotypic selection on wheat yield associated components. Utilizing a split-plot design, assessed five genotypes—’Faraj’, ‘Luiza’, ‘Itri’, ‘Karim’ ‘Nassira’—under three application rates (120, 60 0 kg/ha) across thirty plots with two replicates. Interactions between year showed marked significance (p = 0.001), biomass 0.002), TKW 0.003) Spk/m2 underscoring variability optimal different years. Additionally, significant interactions variety were observed for 0.001) G/m2 indicating performance varieties The ‘Itri’ genotype highest 2017, while ‘Luiza’ was pre-eminent 2018, producing most biomass. ‘Faraj’ demonstrated consistent superiority during 2019 2020. Our integrated principal component analysis quadratic models elucidated that an intermediate rate kg/ha (N2) particularly advantageous genotypes. These findings highlight substantial impact informed level adjustment optimization.

Язык: Английский

Процитировано

3